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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1811.05829 | Yifan Du | Yifan Du | Long Range Wide Area Network: A Simulation Module for ns-3 | There are error and dispute in this report, current approach is
withdrawn | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Long Range (LoRa) is a wireless communication technology for the Internet of
Things (IoT), able to provide wide coverage networking to devices with low
power consumption and low data-rate. This paper~proposes and describes a
simulation module of LoRa wireless networks, based on models of the LoRa
physical and data-li... | [
{
"created": "Wed, 14 Nov 2018 15:07:17 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Nov 2018 21:16:50 GMT",
"version": "v2"
}
] | 2018-12-05 | [
[
"Du",
"Yifan",
""
]
] | Long Range (LoRa) is a wireless communication technology for the Internet of Things (IoT), able to provide wide coverage networking to devices with low power consumption and low data-rate. This paper~proposes and describes a simulation module of LoRa wireless networks, based on models of the LoRa physical and data-link... |
2101.03343 | Chen Yang | Chen Yang (University of Science and Technology of China) | Learning Better Sentence Representation with Syntax Information | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sentence semantic understanding is a key topic in the field of natural
language processing. Recently, contextualized word representations derived from
pre-trained language models such as ELMO and BERT have shown significant
improvements for a wide range of semantic tasks, e.g. question answering, text
classification ... | [
{
"created": "Sat, 9 Jan 2021 12:15:08 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Yang",
"Chen",
"",
"University of Science and Technology of China"
]
] | Sentence semantic understanding is a key topic in the field of natural language processing. Recently, contextualized word representations derived from pre-trained language models such as ELMO and BERT have shown significant improvements for a wide range of semantic tasks, e.g. question answering, text classification an... |
0809.0400 | Xuan Cai | Xuan Cai | Canonical Coin Systems for Change-Making Problems | 7 pages | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Change-Making Problem is to represent a given value with the fewest coins
under a given coin system. As a variation of the knapsack problem, it is known
to be NP-hard. Nevertheless, in most real money systems, the greedy algorithm
yields optimal solutions. In this paper, we study what type of coin systems
that gu... | [
{
"created": "Tue, 2 Sep 2008 11:04:19 GMT",
"version": "v1"
},
{
"created": "Sat, 21 Mar 2009 16:12:55 GMT",
"version": "v2"
}
] | 2009-03-21 | [
[
"Cai",
"Xuan",
""
]
] | The Change-Making Problem is to represent a given value with the fewest coins under a given coin system. As a variation of the knapsack problem, it is known to be NP-hard. Nevertheless, in most real money systems, the greedy algorithm yields optimal solutions. In this paper, we study what type of coin systems that guar... |
cs/0601110 | Shabnam Shafiee | Shabnam Shafiee, Sennur Ulukus | Mutual Information Games in Multi-user Channels with Correlated Jamming | Submitted to IEEE Transactions on Information Theory | null | null | null | cs.IT math.IT | null | We investigate the behavior of two users and one jammer in an AWGN channel
with and without fading when they participate in a non-cooperative zero-sum
game, with the channel's input/output mutual information as the objective
function. We assume that the jammer can eavesdrop the channel and can use the
information obt... | [
{
"created": "Wed, 25 Jan 2006 23:02:20 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Jan 2006 21:57:10 GMT",
"version": "v2"
}
] | 2007-07-16 | [
[
"Shafiee",
"Shabnam",
""
],
[
"Ulukus",
"Sennur",
""
]
] | We investigate the behavior of two users and one jammer in an AWGN channel with and without fading when they participate in a non-cooperative zero-sum game, with the channel's input/output mutual information as the objective function. We assume that the jammer can eavesdrop the channel and can use the information obtai... |
2104.01987 | Weijie J. Su | Jinshuo Dong, Aaron Roth, Weijie J. Su | Rejoinder: Gaussian Differential Privacy | Updated the references. Rejoinder to discussions on Gaussian
Differential Privacy, read to the Royal Statistical Society in December 2020 | null | null | null | cs.CR cs.LG math.ST stat.ML stat.TH | http://creativecommons.org/licenses/by/4.0/ | In this rejoinder, we aim to address two broad issues that cover most
comments made in the discussion. First, we discuss some theoretical aspects of
our work and comment on how this work might impact the theoretical foundation
of privacy-preserving data analysis. Taking a practical viewpoint, we next
discuss how f-di... | [
{
"created": "Mon, 5 Apr 2021 16:27:56 GMT",
"version": "v1"
},
{
"created": "Sat, 26 Jun 2021 02:40:17 GMT",
"version": "v2"
}
] | 2021-06-29 | [
[
"Dong",
"Jinshuo",
""
],
[
"Roth",
"Aaron",
""
],
[
"Su",
"Weijie J.",
""
]
] | In this rejoinder, we aim to address two broad issues that cover most comments made in the discussion. First, we discuss some theoretical aspects of our work and comment on how this work might impact the theoretical foundation of privacy-preserving data analysis. Taking a practical viewpoint, we next discuss how f-diff... |
2306.17585 | Carola Doerr | Ana Kostovska, Anja Jankovic, Diederick Vermetten, Sa\v{s}o
D\v{z}eroski, Tome Eftimov, Carola Doerr | Comparing Algorithm Selection Approaches on Black-Box Optimization
Problems | To appear in the Companion Proceedings of GECCO 2023 as poster paper | null | 10.1145/3583133.3590697 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Performance complementarity of solvers available to tackle black-box
optimization problems gives rise to the important task of algorithm selection
(AS). Automated AS approaches can help replace tedious and labor-intensive
manual selection, and have already shown promising performance in various
optimization domains. ... | [
{
"created": "Fri, 30 Jun 2023 12:06:38 GMT",
"version": "v1"
}
] | 2023-07-03 | [
[
"Kostovska",
"Ana",
""
],
[
"Jankovic",
"Anja",
""
],
[
"Vermetten",
"Diederick",
""
],
[
"Džeroski",
"Sašo",
""
],
[
"Eftimov",
"Tome",
""
],
[
"Doerr",
"Carola",
""
]
] | Performance complementarity of solvers available to tackle black-box optimization problems gives rise to the important task of algorithm selection (AS). Automated AS approaches can help replace tedious and labor-intensive manual selection, and have already shown promising performance in various optimization domains. Au... |
2008.09371 | Neeraj Varshney | Neeraj Varshney, Swaroop Mishra, Chitta Baral | Towards Improving Selective Prediction Ability of NLP Systems | ACL 2022 RepL4NLP Workshop | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | It's better to say "I can't answer" than to answer incorrectly. This
selective prediction ability is crucial for NLP systems to be reliably deployed
in real-world applications. Prior work has shown that existing selective
prediction techniques fail to perform well, especially in the out-of-domain
setting. In this wor... | [
{
"created": "Fri, 21 Aug 2020 08:46:36 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Mar 2022 06:35:11 GMT",
"version": "v2"
},
{
"created": "Thu, 7 Apr 2022 00:22:04 GMT",
"version": "v3"
}
] | 2022-04-08 | [
[
"Varshney",
"Neeraj",
""
],
[
"Mishra",
"Swaroop",
""
],
[
"Baral",
"Chitta",
""
]
] | It's better to say "I can't answer" than to answer incorrectly. This selective prediction ability is crucial for NLP systems to be reliably deployed in real-world applications. Prior work has shown that existing selective prediction techniques fail to perform well, especially in the out-of-domain setting. In this work,... |
2005.04155 | Amir Mosavi Prof | Saeed Nosratabadi, Felde Imre, Karoly Szell, Sina Ardabili, Bertalan
Beszedes, Amir Mosavi | Hybrid Machine Learning Models for Crop Yield Prediction | 5 pages, 2 figures, 3 tables | null | null | null | cs.NE cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Prediction of crop yield is essential for food security policymaking,
planning, and trade. The objective of the current study is to propose novel
crop yield prediction models based on hybrid machine learning methods. In this
study, the performance of the artificial neural networks-imperialist
competitive algorithm (A... | [
{
"created": "Sun, 8 Mar 2020 12:01:27 GMT",
"version": "v1"
}
] | 2020-05-11 | [
[
"Nosratabadi",
"Saeed",
""
],
[
"Imre",
"Felde",
""
],
[
"Szell",
"Karoly",
""
],
[
"Ardabili",
"Sina",
""
],
[
"Beszedes",
"Bertalan",
""
],
[
"Mosavi",
"Amir",
""
]
] | Prediction of crop yield is essential for food security policymaking, planning, and trade. The objective of the current study is to propose novel crop yield prediction models based on hybrid machine learning methods. In this study, the performance of the artificial neural networks-imperialist competitive algorithm (ANN... |
1906.01777 | Teng Wang | Teng Wang, Jun Zhao, Xinyu Yang, and Xuebin Ren | Locally Differentially Private Data Collection and Analysis | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Local differential privacy (LDP) can provide each user with strong privacy
guarantees under untrusted data curators while ensuring accurate statistics
derived from privatized data. Due to its powerfulness, LDP has been widely
adopted to protect privacy in various tasks (e.g., heavy hitters discovery,
probability esti... | [
{
"created": "Wed, 5 Jun 2019 01:34:34 GMT",
"version": "v1"
}
] | 2019-06-06 | [
[
"Wang",
"Teng",
""
],
[
"Zhao",
"Jun",
""
],
[
"Yang",
"Xinyu",
""
],
[
"Ren",
"Xuebin",
""
]
] | Local differential privacy (LDP) can provide each user with strong privacy guarantees under untrusted data curators while ensuring accurate statistics derived from privatized data. Due to its powerfulness, LDP has been widely adopted to protect privacy in various tasks (e.g., heavy hitters discovery, probability estima... |
2305.18362 | Kaiwen Xu | Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto and Jun Sakuma | Statistically Significant Concept-based Explanation of Image Classifiers
via Model Knockoffs | Accepted to IJCAI'23 | Proceedings of the Thirty-Second International Joint Conference on
Artificial Intelligence, IJCAI 2023 | 10.24963/IJCAI.2023/58 | p519-526 | cs.LG cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A concept-based classifier can explain the decision process of a deep
learning model by human-understandable concepts in image classification
problems. However, sometimes concept-based explanations may cause false
positives, which misregards unrelated concepts as important for the prediction
task. Our goal is to find... | [
{
"created": "Sat, 27 May 2023 05:40:05 GMT",
"version": "v1"
},
{
"created": "Wed, 31 May 2023 03:20:18 GMT",
"version": "v2"
}
] | 2024-01-23 | [
[
"Xu",
"Kaiwen",
""
],
[
"Fukuchi",
"Kazuto",
""
],
[
"Akimoto",
"Youhei",
""
],
[
"Sakuma",
"Jun",
""
]
] | A concept-based classifier can explain the decision process of a deep learning model by human-understandable concepts in image classification problems. However, sometimes concept-based explanations may cause false positives, which misregards unrelated concepts as important for the prediction task. Our goal is to find t... |
2105.09235 | Giovanni Bonetta | Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila | Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation | The International FLAIRS Conference Proceedings volume 34 issue 1 | null | 10.32473/flairs.v34i1.128369 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer-based models have demonstrated excellent capabilities of
capturing patterns and structures in natural language generation and achieved
state-of-the-art results in many tasks. In this paper we present a
transformer-based model for multi-turn dialog response generation. Our solution
is based on a hybrid app... | [
{
"created": "Wed, 19 May 2021 16:34:33 GMT",
"version": "v1"
}
] | 2021-05-20 | [
[
"Bonetta",
"Giovanni",
""
],
[
"Cancelliere",
"Rossella",
""
],
[
"Liu",
"Ding",
""
],
[
"Vozila",
"Paul",
""
]
] | Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many tasks. In this paper we present a transformer-based model for multi-turn dialog response generation. Our solution is based on a hybrid appro... |
2303.17670 | Nicholas Milikich | Nicholas Milikich | Utilizing Remote Sensing to Analyze Land Usage and Rice Planting
Patterns | null | null | null | null | cs.CY cs.AI q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The cooperative management of rice terraces in Bali reveals an interesting
phenomenon that stems from the feedback loop between human decisions and the
ecosystem process. In particular, spatial patterning is observed, which is
heavily reliant on the farmer's decision to plant crops as well as the response
from the ph... | [
{
"created": "Thu, 30 Mar 2023 19:20:09 GMT",
"version": "v1"
}
] | 2023-04-03 | [
[
"Milikich",
"Nicholas",
""
]
] | The cooperative management of rice terraces in Bali reveals an interesting phenomenon that stems from the feedback loop between human decisions and the ecosystem process. In particular, spatial patterning is observed, which is heavily reliant on the farmer's decision to plant crops as well as the response from the phys... |
2405.02241 | Harry Zhang Mr. | Xuxin Cheng, Heng Yu, Harry Zhang, Wenxing Deng | WeightedPose: Generalizable Cross-Pose Estimation via Weighted SVD | arXiv admin note: text overlap with arXiv:2211.09325 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | We introduce a new approach for robotic manipulation tasks in human settings
that necessitates understanding the 3D geometric connections between a pair of
objects. Conventional end-to-end training approaches, which convert pixel
observations directly into robot actions, often fail to effectively understand
complex p... | [
{
"created": "Fri, 3 May 2024 16:52:01 GMT",
"version": "v1"
},
{
"created": "Tue, 21 May 2024 14:42:44 GMT",
"version": "v2"
}
] | 2024-05-22 | [
[
"Cheng",
"Xuxin",
""
],
[
"Yu",
"Heng",
""
],
[
"Zhang",
"Harry",
""
],
[
"Deng",
"Wenxing",
""
]
] | We introduce a new approach for robotic manipulation tasks in human settings that necessitates understanding the 3D geometric connections between a pair of objects. Conventional end-to-end training approaches, which convert pixel observations directly into robot actions, often fail to effectively understand complex pos... |
2105.12826 | Babak Mafakheri Dr | Babak Mafakheri, Pierpaolo Gonnella, Alessandro Bazzi, Barbara Mavi
Masini, Michele Caggiano, Roberto Verdone | Optimizations for Hardware-in-the-Loop-Based V2X Validation Platforms | The 2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Connectivity and automation are increasingly getting importance in the
automotive industry, which is observing a radical change from vehicles driven
by humans to fully automated and remotely controlled ones. The test and
validation of all the related devices and applications is thus becoming a
crucial aspect; this is... | [
{
"created": "Mon, 26 Apr 2021 10:49:45 GMT",
"version": "v1"
}
] | 2021-05-28 | [
[
"Mafakheri",
"Babak",
""
],
[
"Gonnella",
"Pierpaolo",
""
],
[
"Bazzi",
"Alessandro",
""
],
[
"Masini",
"Barbara Mavi",
""
],
[
"Caggiano",
"Michele",
""
],
[
"Verdone",
"Roberto",
""
]
] | Connectivity and automation are increasingly getting importance in the automotive industry, which is observing a radical change from vehicles driven by humans to fully automated and remotely controlled ones. The test and validation of all the related devices and applications is thus becoming a crucial aspect; this is r... |
2105.03176 | Matthias Wess | Matthias Wess, Matvey Ivanov, Anvesh Nookala, Christoph Unger,
Alexander Wendt, Axel Jantsch | ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked
Models | null | in IEEE Access, vol. 9, pp. 3545-3556, 2021 | 10.1109/ACCESS.2020.3047259 | null | cs.LG cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With new accelerator hardware for DNN, the computing power for AI
applications has increased rapidly. However, as DNN algorithms become more
complex and optimized for specific applications, latency requirements remain
challenging, and it is critical to find the optimal points in the design space.
To decouple the arch... | [
{
"created": "Fri, 7 May 2021 11:39:05 GMT",
"version": "v1"
}
] | 2021-05-10 | [
[
"Wess",
"Matthias",
""
],
[
"Ivanov",
"Matvey",
""
],
[
"Nookala",
"Anvesh",
""
],
[
"Unger",
"Christoph",
""
],
[
"Wendt",
"Alexander",
""
],
[
"Jantsch",
"Axel",
""
]
] | With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific applications, latency requirements remain challenging, and it is critical to find the optimal points in the design space. To decouple the archit... |
2302.13650 | Daan Di Scala | Daan Di Scala and P{\i}nar Yolum | PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems | null | null | null | null | cs.CR cs.MA | http://creativecommons.org/licenses/by/4.0/ | Collaborative systems, such as Online Social Networks and the Internet of
Things, enable users to share privacy sensitive content. Content in these
systems is often co-owned by multiple users with different privacy
expectations, leading to possible multiuser privacy conflicts. In order to
resolve these conflicts, var... | [
{
"created": "Mon, 27 Feb 2023 10:36:45 GMT",
"version": "v1"
}
] | 2023-02-28 | [
[
"Di Scala",
"Daan",
""
],
[
"Yolum",
"Pınar",
""
]
] | Collaborative systems, such as Online Social Networks and the Internet of Things, enable users to share privacy sensitive content. Content in these systems is often co-owned by multiple users with different privacy expectations, leading to possible multiuser privacy conflicts. In order to resolve these conflicts, vario... |
2407.12161 | Karolis Jucys | Karolis Jucys, George Adamopoulos, Mehrab Hamidi, Stephanie Milani,
Mohammad Reza Samsami, Artem Zholus, Sonia Joseph, Blake Richards, Irina
Rish, \"Ozg\"ur \c{S}im\c{s}ek | Interpretability in Action: Exploratory Analysis of VPT, a Minecraft
Agent | Mechanistic Interpretability Workshop at ICML 2024 | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Understanding the mechanisms behind decisions taken by large foundation
models in sequential decision making tasks is critical to ensuring that such
systems operate transparently and safely. In this work, we perform exploratory
analysis on the Video PreTraining (VPT) Minecraft playing agent, one of the
largest open-s... | [
{
"created": "Tue, 16 Jul 2024 20:38:08 GMT",
"version": "v1"
}
] | 2024-07-18 | [
[
"Jucys",
"Karolis",
""
],
[
"Adamopoulos",
"George",
""
],
[
"Hamidi",
"Mehrab",
""
],
[
"Milani",
"Stephanie",
""
],
[
"Samsami",
"Mohammad Reza",
""
],
[
"Zholus",
"Artem",
""
],
[
"Joseph",
"Sonia",
""
... | Understanding the mechanisms behind decisions taken by large foundation models in sequential decision making tasks is critical to ensuring that such systems operate transparently and safely. In this work, we perform exploratory analysis on the Video PreTraining (VPT) Minecraft playing agent, one of the largest open-sou... |
1511.00100 | Garrick Orchard | Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein, and Ralph
Etienne-Cummings | Fast Neuromimetic Object Recognition using FPGA Outperforms GPU
Implementations | 14 pages, 8 figures, 5 tables | Neural Networks and Learning Systems, IEEE Transactions on,
vol.24, no.8, pp.1239-1252, 2013 | 10.1109/TNNLS.2013.2253563 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recognition of objects in still images has traditionally been regarded as a
difficult computational problem. Although modern automated methods for visual
object recognition have achieved steadily increasing recognition accuracy, even
the most advanced computational vision approaches are unable to obtain
performance e... | [
{
"created": "Sat, 31 Oct 2015 08:59:03 GMT",
"version": "v1"
}
] | 2015-11-03 | [
[
"Orchard",
"Garrick",
""
],
[
"Martin",
"Jacob G.",
""
],
[
"Vogelstein",
"R. Jacob",
""
],
[
"Etienne-Cummings",
"Ralph",
""
]
] | Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have achieved steadily increasing recognition accuracy, even the most advanced computational vision approaches are unable to obtain performance equ... |
1804.07754 | Daniel Cer | Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant,
Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil | Learning Semantic Textual Similarity from Conversations | 10 pages, 8 Figures, 6 Tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach to learn representations for sentence-level
semantic similarity using conversational data. Our method trains an
unsupervised model to predict conversational input-response pairs. The
resulting sentence embeddings perform well on the semantic textual similarity
(STS) benchmark and SemEval 2... | [
{
"created": "Fri, 20 Apr 2018 17:58:45 GMT",
"version": "v1"
}
] | 2018-04-23 | [
[
"Yang",
"Yinfei",
""
],
[
"Yuan",
"Steve",
""
],
[
"Cer",
"Daniel",
""
],
[
"Kong",
"Sheng-yi",
""
],
[
"Constant",
"Noah",
""
],
[
"Pilar",
"Petr",
""
],
[
"Ge",
"Heming",
""
],
[
"Sung",
"Yun-... | We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversational input-response pairs. The resulting sentence embeddings perform well on the semantic textual similarity (STS) benchmark and SemEval 201... |
1910.11483 | Woon Sang Cho | Woon Sang Cho, Yizhe Zhang, Sudha Rao, Chris Brockett, Sungjin Lee | Generating a Common Question from Multiple Documents using Multi-source
Encoder-Decoder Models | Accepted at EMNLP-IJCNLP 2019 - The 3rd Workshop on Neural Generation
and Translation | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ambiguous user queries in search engines result in the retrieval of documents
that often span multiple topics. One potential solution is for the search
engine to generate multiple refined queries, each of which relates to a subset
of the documents spanning the same topic. A preliminary step towards this goal
is to ge... | [
{
"created": "Fri, 25 Oct 2019 01:35:14 GMT",
"version": "v1"
}
] | 2019-10-28 | [
[
"Cho",
"Woon Sang",
""
],
[
"Zhang",
"Yizhe",
""
],
[
"Rao",
"Sudha",
""
],
[
"Brockett",
"Chris",
""
],
[
"Lee",
"Sungjin",
""
]
] | Ambiguous user queries in search engines result in the retrieval of documents that often span multiple topics. One potential solution is for the search engine to generate multiple refined queries, each of which relates to a subset of the documents spanning the same topic. A preliminary step towards this goal is to gene... |
2006.15285 | Yunlong Wang | Yunlong Wang and Harald Reiterer | Promoting the Research of Health Behavior Change in Chinese HCI
Community | CHI'19 Workshop: HCI in China: Research Agenda, Education Curriculum,
Industry Partnership, and Communities Building. Glasgow, United Kingdom. May
4, 2019 | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unhealthy lifestyles largely contribute to many chronic diseases, which makes
the research on health behavior change crucial for both individuals and the
whole society. As an interdisciplinary research field, health behavior change
research in the HCI community is still in the early stage. This research field
is nota... | [
{
"created": "Sat, 27 Jun 2020 04:58:24 GMT",
"version": "v1"
}
] | 2020-06-30 | [
[
"Wang",
"Yunlong",
""
],
[
"Reiterer",
"Harald",
""
]
] | Unhealthy lifestyles largely contribute to many chronic diseases, which makes the research on health behavior change crucial for both individuals and the whole society. As an interdisciplinary research field, health behavior change research in the HCI community is still in the early stage. This research field is notabl... |
2107.02396 | Wei Li | Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia | Semi-TCL: Semi-Supervised Track Contrastive Representation Learning | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Online tracking of multiple objects in videos requires strong capacity of
modeling and matching object appearances. Previous methods for learning
appearance embedding mostly rely on instance-level matching without considering
the temporal continuity provided by videos. We design a new instance-to-track
matching objec... | [
{
"created": "Tue, 6 Jul 2021 05:23:30 GMT",
"version": "v1"
}
] | 2021-07-07 | [
[
"Li",
"Wei",
""
],
[
"Xiong",
"Yuanjun",
""
],
[
"Yang",
"Shuo",
""
],
[
"Xu",
"Mingze",
""
],
[
"Wang",
"Yongxin",
""
],
[
"Xia",
"Wei",
""
]
] | Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances. Previous methods for learning appearance embedding mostly rely on instance-level matching without considering the temporal continuity provided by videos. We design a new instance-to-track matching objecti... |
2204.05927 | Yitong Ji | Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li | Do Loyal Users Enjoy Better Recommendations? Understanding Recommender
Accuracy from a Time Perspective | Accepted to ICTIR2022 | null | 10.1145/3539813.3545124 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In academic research, recommender systems are often evaluated on benchmark
datasets, without much consideration about the global timeline. Hence, we are
unable to answer questions like: Do loyal users enjoy better recommendations
than non-loyal users? Loyalty can be defined by the time period a user has been
active i... | [
{
"created": "Tue, 12 Apr 2022 16:30:39 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Jul 2022 13:44:36 GMT",
"version": "v2"
}
] | 2022-07-05 | [
[
"Ji",
"Yitong",
""
],
[
"Sun",
"Aixin",
""
],
[
"Zhang",
"Jie",
""
],
[
"Li",
"Chenliang",
""
]
] | In academic research, recommender systems are often evaluated on benchmark datasets, without much consideration about the global timeline. Hence, we are unable to answer questions like: Do loyal users enjoy better recommendations than non-loyal users? Loyalty can be defined by the time period a user has been active in ... |
2111.00526 | Asier Guti\'errez-Fandi\~no | Asier Guti\'errez-Fandi\~no, Miquel Noguer i Alonso, Petter Kolm,
Jordi Armengol-Estap\'e | FinEAS: Financial Embedding Analysis of Sentiment | null | null | null | null | cs.CL q-fin.CP q-fin.PM | http://creativecommons.org/licenses/by/4.0/ | We introduce a new language representation model in finance called Financial
Embedding Analysis of Sentiment (FinEAS). In financial markets, news and
investor sentiment are significant drivers of security prices. Thus, leveraging
the capabilities of modern NLP approaches for financial sentiment analysis is a
crucial ... | [
{
"created": "Sun, 31 Oct 2021 15:41:56 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Nov 2021 13:38:35 GMT",
"version": "v2"
}
] | 2021-11-22 | [
[
"Gutiérrez-Fandiño",
"Asier",
""
],
[
"Alonso",
"Miquel Noguer i",
""
],
[
"Kolm",
"Petter",
""
],
[
"Armengol-Estapé",
"Jordi",
""
]
] | We introduce a new language representation model in finance called Financial Embedding Analysis of Sentiment (FinEAS). In financial markets, news and investor sentiment are significant drivers of security prices. Thus, leveraging the capabilities of modern NLP approaches for financial sentiment analysis is a crucial co... |
1910.07660 | Nabor Mendonca | Nabor C. Mendonca, Pooyan Jamshidi, David Garlan, Claus Pahl | Developing Self-Adaptive Microservice Systems: Challenges and Directions | 8 pages, 1 figure | IEEE Software, 2019 | 10.1109/MS.2019.2955937 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A self-adaptive system can dynamically monitor and adapt its behavior to
preserve or enhance its quality attributes under uncertain operating
conditions. This article identifies key challenges for the development of
microservice applications as self-adaptive systems, using a cloud-based
intelligent video surveillance... | [
{
"created": "Thu, 17 Oct 2019 00:21:14 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Nov 2019 04:53:40 GMT",
"version": "v2"
}
] | 2020-09-04 | [
[
"Mendonca",
"Nabor C.",
""
],
[
"Jamshidi",
"Pooyan",
""
],
[
"Garlan",
"David",
""
],
[
"Pahl",
"Claus",
""
]
] | A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance a... |
2112.05005 | Jiang Liu | Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa | Mutual Adversarial Training: Learning together is better than going
alone | Under submission | null | 10.1109/TIFS.2022.3184262 | null | cs.LG cs.CR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent studies have shown that robustness to adversarial attacks can be
transferred across networks. In other words, we can make a weak model more
robust with the help of a strong teacher model. We ask if instead of learning
from a static teacher, can models "learn together" and "teach each other" to
achieve better r... | [
{
"created": "Thu, 9 Dec 2021 15:59:42 GMT",
"version": "v1"
}
] | 2023-02-13 | [
[
"Liu",
"Jiang",
""
],
[
"Lau",
"Chun Pong",
""
],
[
"Souri",
"Hossein",
""
],
[
"Feizi",
"Soheil",
""
],
[
"Chellappa",
"Rama",
""
]
] | Recent studies have shown that robustness to adversarial attacks can be transferred across networks. In other words, we can make a weak model more robust with the help of a strong teacher model. We ask if instead of learning from a static teacher, can models "learn together" and "teach each other" to achieve better rob... |
2310.13615 | An-Zi Yen | An-Zi Yen and Wei-Ling Hsu | Three Questions Concerning the Use of Large Language Models to
Facilitate Mathematics Learning | Accepted by EMNLP 2023 Findings | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Due to the remarkable language understanding and generation abilities of
large language models (LLMs), their use in educational applications has been
explored. However, little work has been done on investigating the pedagogical
ability of LLMs in helping students to learn mathematics. In this position
paper, we discu... | [
{
"created": "Fri, 20 Oct 2023 16:05:35 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Yen",
"An-Zi",
""
],
[
"Hsu",
"Wei-Ling",
""
]
] | Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of LLMs in helping students to learn mathematics. In this position paper, we discuss... |
2307.14440 | Marilyn Walker | Angela Ramirez and Karik Agarwal and Juraj Juraska and Utkarsh Garg
and Marilyn A. Walker | Controllable Generation of Dialogue Acts for Dialogue Systems via
Few-Shot Response Generation and Ranking | To Appear in SIGDIAL 2023. Proceedings of the 24th Annual Meeting of
the Special Interest Group on Discourse and Dialogue. 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Dialogue systems need to produce responses that realize multiple types of
dialogue acts (DAs) with high semantic fidelity. In the past, natural language
generators (NLGs) for dialogue were trained on large parallel corpora that map
from a domain-specific DA and its semantic attributes to an output utterance.
Recent w... | [
{
"created": "Wed, 26 Jul 2023 18:16:45 GMT",
"version": "v1"
}
] | 2023-07-28 | [
[
"Ramirez",
"Angela",
""
],
[
"Agarwal",
"Karik",
""
],
[
"Juraska",
"Juraj",
""
],
[
"Garg",
"Utkarsh",
""
],
[
"Walker",
"Marilyn A.",
""
]
] | Dialogue systems need to produce responses that realize multiple types of dialogue acts (DAs) with high semantic fidelity. In the past, natural language generators (NLGs) for dialogue were trained on large parallel corpora that map from a domain-specific DA and its semantic attributes to an output utterance. Recent wor... |
2404.17839 | Yizhou Chen | Yizhou Chen, Zeyu Sun, Zhihao Gong, Dan Hao | Improving Smart Contract Security with Contrastive Learning-based
Vulnerability Detection | null | 2024 IEEE/ACM 46th International Conference on Software
Engineering (ICSE '24) | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Currently, smart contract vulnerabilities (SCVs) have emerged as a major
factor threatening the transaction security of blockchain. Existing
state-of-the-art methods rely on deep learning to mitigate this threat. They
treat each input contract as an independent entity and feed it into a deep
learning model to learn v... | [
{
"created": "Sat, 27 Apr 2024 09:13:25 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Chen",
"Yizhou",
""
],
[
"Sun",
"Zeyu",
""
],
[
"Gong",
"Zhihao",
""
],
[
"Hao",
"Dan",
""
]
] | Currently, smart contract vulnerabilities (SCVs) have emerged as a major factor threatening the transaction security of blockchain. Existing state-of-the-art methods rely on deep learning to mitigate this threat. They treat each input contract as an independent entity and feed it into a deep learning model to learn vul... |
2403.01699 | George Boateng | George Boateng, Jonathan Abrefah Mensah, Kevin Takyi Yeboah, William
Edor, Andrew Kojo Mensah-Onumah, Naafi Dasana Ibrahim, and Nana Sam Yeboah | Brilla AI: AI Contestant for the National Science and Maths Quiz | 14 pages. Accepted for the WideAIED track at the 25th International
Conference on AI in Education (AIED 2024) | null | null | null | cs.CL cs.AI cs.CY cs.SD eess.AS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The African continent lacks enough qualified teachers which hampers the
provision of adequate learning support. An AI could potentially augment the
efforts of the limited number of teachers, leading to better learning outcomes.
Towards that end, this work describes and evaluates the first key output for
the NSMQ AI G... | [
{
"created": "Mon, 4 Mar 2024 03:24:18 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Apr 2024 23:30:55 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Apr 2024 19:22:36 GMT",
"version": "v3"
}
] | 2024-05-02 | [
[
"Boateng",
"George",
""
],
[
"Mensah",
"Jonathan Abrefah",
""
],
[
"Yeboah",
"Kevin Takyi",
""
],
[
"Edor",
"William",
""
],
[
"Mensah-Onumah",
"Andrew Kojo",
""
],
[
"Ibrahim",
"Naafi Dasana",
""
],
[
"Yeboah",
... | The African continent lacks enough qualified teachers which hampers the provision of adequate learning support. An AI could potentially augment the efforts of the limited number of teachers, leading to better learning outcomes. Towards that end, this work describes and evaluates the first key output for the NSMQ AI Gra... |
2205.01460 | Simon Bultmann | Simon Bultmann and Sven Behnke | 3D Semantic Scene Perception using Distributed Smart Edge Sensors | 17th International Conference on Intelligent Autonomous Systems
(IAS), Zagreb, Croatia, June 2022 | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a system for 3D semantic scene perception consisting of a network
of distributed smart edge sensors. The sensor nodes are based on an embedded
CNN inference accelerator and RGB-D and thermal cameras. Efficient vision CNN
models for object detection, semantic segmentation, and human pose estimation
run on-d... | [
{
"created": "Tue, 3 May 2022 12:46:26 GMT",
"version": "v1"
}
] | 2022-05-04 | [
[
"Bultmann",
"Simon",
""
],
[
"Behnke",
"Sven",
""
]
] | We present a system for 3D semantic scene perception consisting of a network of distributed smart edge sensors. The sensor nodes are based on an embedded CNN inference accelerator and RGB-D and thermal cameras. Efficient vision CNN models for object detection, semantic segmentation, and human pose estimation run on-dev... |
2308.06034 | Andrea Munari | Andrea Munari | Age of Incorrect Information in Random Access Channels without Feedback | null | null | null | null | cs.IT cs.NI math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We focus on a system in which a set of two-state Markov sources report status
update to a common receiver over a shared wireless channel. Inspired by
practical IoT networks, we consider three variations of ALOHA as medium access
protocol: i) a random approach in which a source transmits regardless of its
status, ii) ... | [
{
"created": "Fri, 11 Aug 2023 09:28:39 GMT",
"version": "v1"
}
] | 2023-08-14 | [
[
"Munari",
"Andrea",
""
]
] | We focus on a system in which a set of two-state Markov sources report status update to a common receiver over a shared wireless channel. Inspired by practical IoT networks, we consider three variations of ALOHA as medium access protocol: i) a random approach in which a source transmits regardless of its status, ii) a ... |
1709.01121 | Adina Williams | Adina Williams, and Andrew Drozdov and Samuel R. Bowman | Do latent tree learning models identify meaningful structure in
sentences? | 15 pages, 6 figures, 4 tables. v1. was submitted to TACL, v2. was
accepted to TACL, name change, additional baselines (R/L branching) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work on the problem of latent tree learning has made it possible to
train neural networks that learn to both parse a sentence and use the resulting
parse to interpret the sentence, all without exposure to ground-truth parse
trees at training time. Surprisingly, these models often perform better at
sentence und... | [
{
"created": "Mon, 4 Sep 2017 19:05:39 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Feb 2018 15:59:38 GMT",
"version": "v2"
}
] | 2018-02-27 | [
[
"Williams",
"Adina",
""
],
[
"Drozdov",
"Andrew",
""
],
[
"Bowman",
"Samuel R.",
""
]
] | Recent work on the problem of latent tree learning has made it possible to train neural networks that learn to both parse a sentence and use the resulting parse to interpret the sentence, all without exposure to ground-truth parse trees at training time. Surprisingly, these models often perform better at sentence under... |
2405.07697 | Elsa Dupraz | Elsa Dupraz, Ismaila Salihou Adamou, Reza Asvadi, and Tad Matsumoto | Practical Short-Length Coding Schemes for Binary Distributed Hypothesis
Testing | Accepted at ISIT 2024 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates practical coding schemes for Distributed Hypothesis
Testing (DHT). While the literature has extensively analyzed the
information-theoretic performance of DHT and established bounds on Type-II
error exponents through quantize and quantize-binning achievability schemes,
the practical implementat... | [
{
"created": "Mon, 13 May 2024 12:34:16 GMT",
"version": "v1"
}
] | 2024-05-14 | [
[
"Dupraz",
"Elsa",
""
],
[
"Adamou",
"Ismaila Salihou",
""
],
[
"Asvadi",
"Reza",
""
],
[
"Matsumoto",
"Tad",
""
]
] | This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through quantize and quantize-binning achievability schemes, the practical implementatio... |
2405.11517 | Idan Pipano | Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz | On the Convergence of No-Regret Dynamics in Information Retrieval Games
with Proportional Ranking Functions | null | null | null | null | cs.GT cs.IR | http://creativecommons.org/licenses/by/4.0/ | Publishers who publish their content on the web act strategically, in a
behavior that can be modeled within the online learning framework. Regret, a
central concept in machine learning, serves as a canonical measure for
assessing the performance of learning agents within this framework. We prove
that any proportional... | [
{
"created": "Sun, 19 May 2024 11:12:10 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Aug 2024 12:52:43 GMT",
"version": "v2"
}
] | 2024-08-09 | [
[
"Madmon",
"Omer",
""
],
[
"Pipano",
"Idan",
""
],
[
"Reinman",
"Itamar",
""
],
[
"Tennenholtz",
"Moshe",
""
]
] | Publishers who publish their content on the web act strategically, in a behavior that can be modeled within the online learning framework. Regret, a central concept in machine learning, serves as a canonical measure for assessing the performance of learning agents within this framework. We prove that any proportional c... |
2005.13580 | Patrick Esser | Robin Rombach and Patrick Esser and Bj\"orn Ommer | Network-to-Network Translation with Conditional Invertible Neural
Networks | NeurIPS 2020 (oral). Code at https://github.com/CompVis/net2net | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given the ever-increasing computational costs of modern machine learning
models, we need to find new ways to reuse such expert models and thus tap into
the resources that have been invested in their creation. Recent work suggests
that the power of these massive models is captured by the representations they
learn. Th... | [
{
"created": "Wed, 27 May 2020 18:14:22 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Nov 2020 20:34:36 GMT",
"version": "v2"
}
] | 2020-11-11 | [
[
"Rombach",
"Robin",
""
],
[
"Esser",
"Patrick",
""
],
[
"Ommer",
"Björn",
""
]
] | Given the ever-increasing computational costs of modern machine learning models, we need to find new ways to reuse such expert models and thus tap into the resources that have been invested in their creation. Recent work suggests that the power of these massive models is captured by the representations they learn. Ther... |
1709.06743 | Leon Thurner | Leon Thurner, Alexander Scheidler, Florian Sch\"afer, Jan-Hendrik
Menke, Julian Dollichon, Friederike Meier, Steffen Meinecke and Martin Braun | pandapower - an Open Source Python Tool for Convenient Modeling,
Analysis and Optimization of Electric Power Systems | null | null | 10.1109/TPWRS.2018.2829021 | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | pandapower is a Python based, BSD-licensed power system analysis tool aimed
at automation of static and quasi-static analysis and optimization of balanced
power systems. It provides power flow, optimal power flow, state estimation,
topological graph searches and short circuit calculations according to IEC
60909. pand... | [
{
"created": "Wed, 20 Sep 2017 07:14:52 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Feb 2018 13:51:30 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Apr 2018 15:11:31 GMT",
"version": "v3"
}
] | 2018-11-06 | [
[
"Thurner",
"Leon",
""
],
[
"Scheidler",
"Alexander",
""
],
[
"Schäfer",
"Florian",
""
],
[
"Menke",
"Jan-Hendrik",
""
],
[
"Dollichon",
"Julian",
""
],
[
"Meier",
"Friederike",
""
],
[
"Meinecke",
"Steffen",
... | pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909. pandap... |
2112.03808 | Louis Castricato | Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad,
Mark Riedl | Automated Story Generation as Question-Answering | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Neural language model-based approaches to automated story generation suffer
from two important limitations. First, language model-based story generators
generally do not work toward a given goal or ending. Second, they often lose
coherence as the story gets longer. We propose a novel approach to automated
story gener... | [
{
"created": "Tue, 7 Dec 2021 16:32:30 GMT",
"version": "v1"
}
] | 2021-12-08 | [
[
"Castricato",
"Louis",
""
],
[
"Frazier",
"Spencer",
""
],
[
"Balloch",
"Jonathan",
""
],
[
"Tarakad",
"Nitya",
""
],
[
"Riedl",
"Mark",
""
]
] | Neural language model-based approaches to automated story generation suffer from two important limitations. First, language model-based story generators generally do not work toward a given goal or ending. Second, they often lose coherence as the story gets longer. We propose a novel approach to automated story generat... |
1205.2889 | Youssef Bassil | Youssef Bassil | A Comparative Study on the Performance of the Top DBMS Systems | LACSC - Lebanese Association for Computational Sciences,
http://www.lacsc.org | Journal of Computer Science & Research (JCSCR), Vol.1, No.1,
pp.20-31, 2012 | null | null | cs.DB cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Database management systems are today's most reliable mean to organize data
into collections that can be searched and updated. However, many DBMS systems
are available on the market each having their pros and cons in terms of
reliability, usability, security, and performance. This paper presents a
comparative study o... | [
{
"created": "Sun, 13 May 2012 17:54:51 GMT",
"version": "v1"
}
] | 2012-05-15 | [
[
"Bassil",
"Youssef",
""
]
] | Database management systems are today's most reliable mean to organize data into collections that can be searched and updated. However, many DBMS systems are available on the market each having their pros and cons in terms of reliability, usability, security, and performance. This paper presents a comparative study on ... |
2006.07752 | Anh Thai | Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg | 3D Reconstruction of Novel Object Shapes from Single Images | First two authors contributed equally | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurately predicting the 3D shape of any arbitrary object in any pose from a
single image is a key goal of computer vision research. This is challenging as
it requires a model to learn a representation that can infer both the visible
and occluded portions of any object using a limited training set. A training
set th... | [
{
"created": "Sun, 14 Jun 2020 00:34:26 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Sep 2020 02:12:45 GMT",
"version": "v2"
},
{
"created": "Mon, 18 Jan 2021 19:41:48 GMT",
"version": "v3"
},
{
"created": "Wed, 1 Sep 2021 21:11:12 GMT",
"version": "v4"
}
] | 2021-09-03 | [
[
"Thai",
"Anh",
""
],
[
"Stojanov",
"Stefan",
""
],
[
"Upadhya",
"Vijay",
""
],
[
"Rehg",
"James M.",
""
]
] | Accurately predicting the 3D shape of any arbitrary object in any pose from a single image is a key goal of computer vision research. This is challenging as it requires a model to learn a representation that can infer both the visible and occluded portions of any object using a limited training set. A training set that... |
2405.17610 | Francisco de Arriba-P\'erez | Francisco de Arriba-P\'erez, Silvia Garc\'ia-M\'endez, Francisco J.
Gonz\'alez-Casta\~no, Jaime Gonz\'alez-Gonz\'alez | Explainable machine learning multi-label classification of Spanish legal
judgements | null | null | 10.1016/j.jksuci.2022.10.015 | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Artificial Intelligence techniques such as Machine Learning (ML) have not
been exploited to their maximum potential in the legal domain. This has been
partially due to the insufficient explanations they provided about their
decisions. Automatic expert systems with explanatory capabilities can be
specially useful when... | [
{
"created": "Mon, 27 May 2024 19:16:42 GMT",
"version": "v1"
}
] | 2024-05-29 | [
[
"de Arriba-Pérez",
"Francisco",
""
],
[
"García-Méndez",
"Silvia",
""
],
[
"González-Castaño",
"Francisco J.",
""
],
[
"González-González",
"Jaime",
""
]
] | Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insufficient explanations they provided about their decisions. Automatic expert systems with explanatory capabilities can be specially useful when l... |
2110.08923 | Donghao Ying | Donghao Ying, Yuhao Ding, Javad Lavaei | A Dual Approach to Constrained Markov Decision Processes with Entropy
Regularization | 24 pages, AISTATS22 | null | null | null | cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study entropy-regularized constrained Markov decision processes (CMDPs)
under the soft-max parameterization, in which an agent aims to maximize the
entropy-regularized value function while satisfying constraints on the expected
total utility. By leveraging the entropy regularization, our theoretical
analysis shows... | [
{
"created": "Sun, 17 Oct 2021 21:26:40 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Feb 2022 07:26:29 GMT",
"version": "v2"
},
{
"created": "Fri, 7 Apr 2023 16:09:21 GMT",
"version": "v3"
}
] | 2023-04-10 | [
[
"Ying",
"Donghao",
""
],
[
"Ding",
"Yuhao",
""
],
[
"Lavaei",
"Javad",
""
]
] | We study entropy-regularized constrained Markov decision processes (CMDPs) under the soft-max parameterization, in which an agent aims to maximize the entropy-regularized value function while satisfying constraints on the expected total utility. By leveraging the entropy regularization, our theoretical analysis shows t... |
2309.08198 | Fabio Lorenzo Traversa Ph.D. | Tristan Sharp, Rishabh Khare, Erick Pederson, Fabio Lorenzo Traversa | Scaling up prime factorization with self-organizing gates: A
memcomputing approach | null | null | null | null | cs.ET cs.CR nlin.AO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We report preliminary results on using the MEMCPU\texttrademark{} Platform to
compute the prime factorization of large biprimes. The first approach, the
direct model, directly returns the factors of a given biprime. The second
approach, the congruence model, returns smooth congruences to address the
bottleneck of sta... | [
{
"created": "Fri, 15 Sep 2023 07:02:54 GMT",
"version": "v1"
}
] | 2023-09-18 | [
[
"Sharp",
"Tristan",
""
],
[
"Khare",
"Rishabh",
""
],
[
"Pederson",
"Erick",
""
],
[
"Traversa",
"Fabio Lorenzo",
""
]
] | We report preliminary results on using the MEMCPU\texttrademark{} Platform to compute the prime factorization of large biprimes. The first approach, the direct model, directly returns the factors of a given biprime. The second approach, the congruence model, returns smooth congruences to address the bottleneck of stand... |
1905.08902 | Simon Duque Anton | Simon Duque Anton, Daniel Fraunholz, Christoph Lipps, Frederic Pohl,
Marc Zimmermann and Hans D. Schotten | Two Decades of SCADA Exploitation: A Brief History | null | null | 10.1109/AINS.2017.8270432 | null | cs.CR cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Since the early 1960, industrial process control has been applied by electric
systems. In the mid 1970's, the term SCADA emerged, describing the automated
control and data acquisition. Since most industrial and automation networks
were physically isolated, security was not an issue. This changed, when in the
early 20... | [
{
"created": "Tue, 21 May 2019 23:51:08 GMT",
"version": "v1"
}
] | 2019-05-23 | [
[
"Anton",
"Simon Duque",
""
],
[
"Fraunholz",
"Daniel",
""
],
[
"Lipps",
"Christoph",
""
],
[
"Pohl",
"Frederic",
""
],
[
"Zimmermann",
"Marc",
""
],
[
"Schotten",
"Hans D.",
""
]
] | Since the early 1960, industrial process control has been applied by electric systems. In the mid 1970's, the term SCADA emerged, describing the automated control and data acquisition. Since most industrial and automation networks were physically isolated, security was not an issue. This changed, when in the early 2000... |
2206.13135 | Shuhao Deng | Chengfei Li, Shuhao Deng, Yaoping Wang, Guangjing Wang, Yaguang Gong,
Changbin Chen and Jinfeng Bai | TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a
Speech Recognition Baseline | accepted by INTERSPEECH 2022 | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a new corpus of Mandarin-English code-switching speech
recognition--TALCS corpus, suitable for training and evaluating code-switching
speech recognition systems. TALCS corpus is derived from real online one-to-one
English teaching scenes in TAL education group, which contains roughly 587
hours o... | [
{
"created": "Mon, 27 Jun 2022 09:30:25 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Li",
"Chengfei",
""
],
[
"Deng",
"Shuhao",
""
],
[
"Wang",
"Yaoping",
""
],
[
"Wang",
"Guangjing",
""
],
[
"Gong",
"Yaguang",
""
],
[
"Chen",
"Changbin",
""
],
[
"Bai",
"Jinfeng",
""
]
] | This paper introduces a new corpus of Mandarin-English code-switching speech recognition--TALCS corpus, suitable for training and evaluating code-switching speech recognition systems. TALCS corpus is derived from real online one-to-one English teaching scenes in TAL education group, which contains roughly 587 hours of ... |
1002.0576 | Aubin Lecointre | Aubin Lecointre (LAAS), Daniela Dragomirescu (LAAS), Robert Plana
(LAAS) | New methodology to design advanced MR-IRUWB communication system | null | Electronics Letters / IEE Electronics Letters (2008) 1412-1413 | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A new model is proposed giving the channel capability of a MB-IR-UWB system
versus the number of subband and the duty cycle. The architecture simulated
shows data rate ranging from 1.434 Gbits/s to 0.9 Gbits/s for 16 to 10 subbands
and duty cycle ranging from 20% to 12%.
| [
{
"created": "Tue, 2 Feb 2010 20:06:38 GMT",
"version": "v1"
}
] | 2010-02-03 | [
[
"Lecointre",
"Aubin",
"",
"LAAS"
],
[
"Dragomirescu",
"Daniela",
"",
"LAAS"
],
[
"Plana",
"Robert",
"",
"LAAS"
]
] | A new model is proposed giving the channel capability of a MB-IR-UWB system versus the number of subband and the duty cycle. The architecture simulated shows data rate ranging from 1.434 Gbits/s to 0.9 Gbits/s for 16 to 10 subbands and duty cycle ranging from 20% to 12%. |
1304.1828 | Ilan Shomorony | Himanshu Asnani, Ilan Shomorony, A. Salman Avestimehr and Tsachy
Weissman | Network Compression: Worst-Case Analysis | Submitted to IEEE Transactions on Information Theory | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of communicating a distributed correlated memoryless
source over a memoryless network, from source nodes to destination nodes, under
quadratic distortion constraints. We establish the following two complementary
results: (a) for an arbitrary memoryless network, among all distributed
memoryless so... | [
{
"created": "Fri, 5 Apr 2013 21:54:23 GMT",
"version": "v1"
}
] | 2013-04-09 | [
[
"Asnani",
"Himanshu",
""
],
[
"Shomorony",
"Ilan",
""
],
[
"Avestimehr",
"A. Salman",
""
],
[
"Weissman",
"Tsachy",
""
]
] | We study the problem of communicating a distributed correlated memoryless source over a memoryless network, from source nodes to destination nodes, under quadratic distortion constraints. We establish the following two complementary results: (a) for an arbitrary memoryless network, among all distributed memoryless sour... |
1105.6065 | Premkumar Karumbu | Premkumar Karumbu, Venkata K. Prasanthi M., Anurag Kumar | Delay Optimal Event Detection on Ad Hoc Wireless Sensor Networks | To appear in ACM Transactions on Sensor Networks. A part of this work
was presented in IEEE SECON 2006, and Allerton 2010 | null | 10.1145/2140522.2140525 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a small extent sensor network for event detection, in which nodes
take samples periodically and then contend over a {\em random access network}
to transmit their measurement packets to the fusion center. We consider two
procedures at the fusion center to process the measurements. The Bayesian
setting is a... | [
{
"created": "Mon, 30 May 2011 18:45:33 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Karumbu",
"Premkumar",
""
],
[
"M.",
"Venkata K. Prasanthi",
""
],
[
"Kumar",
"Anurag",
""
]
] | We consider a small extent sensor network for event detection, in which nodes take samples periodically and then contend over a {\em random access network} to transmit their measurement packets to the fusion center. We consider two procedures at the fusion center to process the measurements. The Bayesian setting is ass... |
2206.13714 | James Queeney | James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras | Generalized Policy Improvement Algorithms with Theoretically Supported
Sample Reuse | null | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | Data-driven, learning-based control methods offer the potential to improve
operations in complex systems, and model-free deep reinforcement learning
represents a popular approach to data-driven control. However, existing classes
of algorithms present a trade-off between two important deployment requirements
for real-... | [
{
"created": "Tue, 28 Jun 2022 02:56:12 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Apr 2023 02:29:32 GMT",
"version": "v2"
}
] | 2023-04-17 | [
[
"Queeney",
"James",
""
],
[
"Paschalidis",
"Ioannis Ch.",
""
],
[
"Cassandras",
"Christos G.",
""
]
] | Data-driven, learning-based control methods offer the potential to improve operations in complex systems, and model-free deep reinforcement learning represents a popular approach to data-driven control. However, existing classes of algorithms present a trade-off between two important deployment requirements for real-wo... |
1802.07251 | Hashim A. Hashim | Hashim A. Hashim, Sami El-Ferik, Mohamed A. Abido | A fuzzy logic feedback filter design tuned with PSO for L1 adaptive
controller | null | Expert Systems with Applications 42, no. 23 (2015): 9077-9085 | 10.1016/j.eswa.2015.08.026 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | L1 adaptive controller has been recognized for having a structure that allows
decoupling between robustness and adaption owing to the introduction of a low
pass filter with adjustable gain in the feedback loop. The trade-off between
performance, fast adaptation and robustness, is the main criteria when
selecting the ... | [
{
"created": "Tue, 20 Feb 2018 18:56:25 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Feb 2018 16:04:31 GMT",
"version": "v2"
},
{
"created": "Fri, 23 Mar 2018 15:45:11 GMT",
"version": "v3"
},
{
"created": "Sat, 31 Mar 2018 20:51:12 GMT",
"version": "v4"
},
{
"c... | 2018-09-17 | [
[
"Hashim",
"Hashim A.",
""
],
[
"El-Ferik",
"Sami",
""
],
[
"Abido",
"Mohamed A.",
""
]
] | L1 adaptive controller has been recognized for having a structure that allows decoupling between robustness and adaption owing to the introduction of a low pass filter with adjustable gain in the feedback loop. The trade-off between performance, fast adaptation and robustness, is the main criteria when selecting the st... |
2308.09583 | Qingfeng Sun | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang
Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang | WizardMath: Empowering Mathematical Reasoning for Large Language Models
via Reinforced Evol-Instruct | LLM, Mathematical Reasoning | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs), such as GPT-4, have shown remarkable
performance in natural language processing (NLP) tasks, including challenging
mathematical reasoning. However, most existing open-source models are only
pre-trained on large-scale internet data and without math-related optimization.
In this paper, we ... | [
{
"created": "Fri, 18 Aug 2023 14:23:21 GMT",
"version": "v1"
}
] | 2023-08-21 | [
[
"Luo",
"Haipeng",
""
],
[
"Sun",
"Qingfeng",
""
],
[
"Xu",
"Can",
""
],
[
"Zhao",
"Pu",
""
],
[
"Lou",
"Jianguang",
""
],
[
"Tao",
"Chongyang",
""
],
[
"Geng",
"Xiubo",
""
],
[
"Lin",
"Qingwei",... | Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning. However, most existing open-source models are only pre-trained on large-scale internet data and without math-related optimization. In this paper, we pr... |
2203.15529 | Huck Yang | Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen | Treatment Learning Causal Transformer for Noisy Image Classification | Accepted to IEEE WACV 2023. The first version was finished in May
2018 | null | 10.1109/WACV56688.2023.00608 | null | cs.CV cs.AI cs.LG eess.IV | http://creativecommons.org/licenses/by-sa/4.0/ | Current top-notch deep learning (DL) based vision models are primarily based
on exploring and exploiting the inherent correlations between training data
samples and their associated labels. However, a known practical challenge is
their degraded performance against "noisy" data, induced by different
circumstances such... | [
{
"created": "Tue, 29 Mar 2022 13:07:53 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Oct 2023 06:22:50 GMT",
"version": "v2"
}
] | 2023-10-31 | [
[
"Yang",
"Chao-Han Huck",
""
],
[
"Hung",
"I-Te Danny",
""
],
[
"Liu",
"Yi-Chieh",
""
],
[
"Chen",
"Pin-Yu",
""
]
] | Current top-notch deep learning (DL) based vision models are primarily based on exploring and exploiting the inherent correlations between training data samples and their associated labels. However, a known practical challenge is their degraded performance against "noisy" data, induced by different circumstances such a... |
1702.08484 | Aditya Grover | Aditya Grover, Stefano Ermon | Boosted Generative Models | AAAI 2018 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel approach for using unsupervised boosting to create an
ensemble of generative models, where models are trained in sequence to correct
earlier mistakes. Our meta-algorithmic framework can leverage any existing base
learner that permits likelihood evaluation, including recent deep expressive
models. F... | [
{
"created": "Mon, 27 Feb 2017 19:28:40 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Dec 2017 10:13:51 GMT",
"version": "v2"
}
] | 2017-12-25 | [
[
"Grover",
"Aditya",
""
],
[
"Ermon",
"Stefano",
""
]
] | We propose a novel approach for using unsupervised boosting to create an ensemble of generative models, where models are trained in sequence to correct earlier mistakes. Our meta-algorithmic framework can leverage any existing base learner that permits likelihood evaluation, including recent deep expressive models. Fur... |
2012.04964 | Marco Gaido | Marco Gaido, Mattia A. Di Gangi, Matteo Negri, Marco Turchi | On Knowledge Distillation for Direct Speech Translation | Accepted at CLiC-IT 2020 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Direct speech translation (ST) has shown to be a complex task requiring
knowledge transfer from its sub-tasks: automatic speech recognition (ASR) and
machine translation (MT). For MT, one of the most promising techniques to
transfer knowledge is knowledge distillation. In this paper, we compare the
different solution... | [
{
"created": "Wed, 9 Dec 2020 10:33:13 GMT",
"version": "v1"
}
] | 2020-12-10 | [
[
"Gaido",
"Marco",
""
],
[
"Di Gangi",
"Mattia A.",
""
],
[
"Negri",
"Matteo",
""
],
[
"Turchi",
"Marco",
""
]
] | Direct speech translation (ST) has shown to be a complex task requiring knowledge transfer from its sub-tasks: automatic speech recognition (ASR) and machine translation (MT). For MT, one of the most promising techniques to transfer knowledge is knowledge distillation. In this paper, we compare the different solutions ... |
1803.09939 | Daming Zou | Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D. Ernst, and Lu
Zhang | An Empirical Study of Fault Localization Families and Their Combinations | Accepted by Transactions on Software Engineering Dec 7, 2018 | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The performance of fault localization techniques is critical to their
adoption in practice. This paper reports on an empirical study of a wide range
of fault localization techniques on real-world faults. Different from previous
studies, this paper (1) considers a wide range of techniques from different
families, (2) ... | [
{
"created": "Tue, 27 Mar 2018 07:47:40 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Jan 2019 09:07:55 GMT",
"version": "v2"
}
] | 2019-01-08 | [
[
"Zou",
"Daming",
""
],
[
"Liang",
"Jingjing",
""
],
[
"Xiong",
"Yingfei",
""
],
[
"Ernst",
"Michael D.",
""
],
[
"Zhang",
"Lu",
""
]
] | The performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide range of fault localization techniques on real-world faults. Different from previous studies, this paper (1) considers a wide range of techniques from different families, (2) co... |
2209.05235 | Haobo Chen | Haobo Chen, Chuyang Zhao, Kai Tu, Junru Chen, Yadong Li, Boxun Li | Style Variable and Irrelevant Learning for Generalizable Person
Re-identification | 12pages, 5 figures; | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, due to the poor performance of supervised person re-identification
(ReID) to an unseen domain, Domain Generalization (DG) person ReID has
attracted a lot of attention which aims to learn a domain-insensitive model and
can resist the influence of domain bias. In this paper, we first verify through
an experim... | [
{
"created": "Mon, 12 Sep 2022 13:31:43 GMT",
"version": "v1"
}
] | 2022-09-13 | [
[
"Chen",
"Haobo",
""
],
[
"Zhao",
"Chuyang",
""
],
[
"Tu",
"Kai",
""
],
[
"Chen",
"Junru",
""
],
[
"Li",
"Yadong",
""
],
[
"Li",
"Boxun",
""
]
] | Recently, due to the poor performance of supervised person re-identification (ReID) to an unseen domain, Domain Generalization (DG) person ReID has attracted a lot of attention which aims to learn a domain-insensitive model and can resist the influence of domain bias. In this paper, we first verify through an experimen... |
2103.09904 | Umut \"Ozkaya | Saban Ozturk, Enes Yigit and Umut Ozkaya | Fused Deep Features Based Classification Framework for COVID-19
Classification with Optimized MLP | 13 pages,8 figures | null | null | null | cs.LG eess.IV | http://creativecommons.org/licenses/by/4.0/ | The new type of Coronavirus disease called COVID-19 continues to spread quite
rapidly. Although it shows some specific symptoms, this disease, which can show
different symptoms in almost every individual, has caused hundreds of thousands
of patients to die. Although healthcare professionals work hard to prevent
furth... | [
{
"created": "Mon, 15 Mar 2021 14:30:12 GMT",
"version": "v1"
}
] | 2021-03-19 | [
[
"Ozturk",
"Saban",
""
],
[
"Yigit",
"Enes",
""
],
[
"Ozkaya",
"Umut",
""
]
] | The new type of Coronavirus disease called COVID-19 continues to spread quite rapidly. Although it shows some specific symptoms, this disease, which can show different symptoms in almost every individual, has caused hundreds of thousands of patients to die. Although healthcare professionals work hard to prevent further... |
1406.3395 | Paraskevas Lekeas | Paraskevas V. Lekeas | An Evolutionary Approach to Coalition Formation | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In Cooperative Games with Externalities when the members of a set S \subset N
of agents wish to deviate they need to calculate their worth. This worth
depends on what the non-members (outsiders) N \setminus S will do, which in
turn depends on which coalition structure the outsiders will form. Since this
coalition for... | [
{
"created": "Fri, 13 Jun 2014 00:41:08 GMT",
"version": "v1"
}
] | 2014-06-16 | [
[
"Lekeas",
"Paraskevas V.",
""
]
] | In Cooperative Games with Externalities when the members of a set S \subset N of agents wish to deviate they need to calculate their worth. This worth depends on what the non-members (outsiders) N \setminus S will do, which in turn depends on which coalition structure the outsiders will form. Since this coalition forma... |
2405.17531 | Hanxue Liang | Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael
Oechsle, Adam Kortylewski, Cengiz Oztireli, Gordon Wetzstein, Christian
Theobalt | Evolutive Rendering Models | Project page: https://fnzhan.com/Evolutive-Rendering-Models/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The landscape of computer graphics has undergone significant transformations
with the recent advances of differentiable rendering models. These rendering
models often rely on heuristic designs that may not fully align with the final
rendering objectives. We address this gap by pioneering \textit{evolutive
rendering m... | [
{
"created": "Mon, 27 May 2024 17:40:00 GMT",
"version": "v1"
}
] | 2024-05-29 | [
[
"Zhan",
"Fangneng",
""
],
[
"Liang",
"Hanxue",
""
],
[
"Wang",
"Yifan",
""
],
[
"Niemeyer",
"Michael",
""
],
[
"Oechsle",
"Michael",
""
],
[
"Kortylewski",
"Adam",
""
],
[
"Oztireli",
"Cengiz",
""
],
[
... | The landscape of computer graphics has undergone significant transformations with the recent advances of differentiable rendering models. These rendering models often rely on heuristic designs that may not fully align with the final rendering objectives. We address this gap by pioneering \textit{evolutive rendering mod... |
1312.0352 | EPTCS | K. Lano (King's College London), S. Kolahdouz-Rahimi (King's College
London), K. Maroukian (King's College London) | Solving the Petri-Nets to Statecharts Transformation Case with UML-RSDS | In Proceedings TTC 2013, arXiv:1311.7536 | EPTCS 135, 2013, pp. 101-105 | 10.4204/EPTCS.135.13 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper provides a solution to the Petri-Nets to statecharts case using
UML-RSDS. We show how a highly declarative solution which is confluent and
invertible can be given using this approach.
| [
{
"created": "Mon, 2 Dec 2013 07:01:06 GMT",
"version": "v1"
}
] | 2013-12-03 | [
[
"Lano",
"K.",
"",
"King's College London"
],
[
"Kolahdouz-Rahimi",
"S.",
"",
"King's College\n London"
],
[
"Maroukian",
"K.",
"",
"King's College London"
]
] | This paper provides a solution to the Petri-Nets to statecharts case using UML-RSDS. We show how a highly declarative solution which is confluent and invertible can be given using this approach. |
2403.06814 | Hao-Lun Hsu | Hao-Lun Hsu, Qitong Gao, Miroslav Pajic | {\epsilon}-Neural Thompson Sampling of Deep Brain Stimulation for
Parkinson Disease Treatment | 11 pages, 12 figures, 2 tables. To appear in the 15th ACM/IEEE
International Conference on Cyber-Physical Systems (ICCPS'2024) | null | null | null | cs.LG q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Brain Stimulation (DBS) stands as an effective intervention for
alleviating the motor symptoms of Parkinson's disease (PD). Traditional
commercial DBS devices are only able to deliver fixed-frequency periodic pulses
to the basal ganglia (BG) regions of the brain, i.e., continuous DBS (cDBS).
However, they in gen... | [
{
"created": "Mon, 11 Mar 2024 15:33:40 GMT",
"version": "v1"
}
] | 2024-03-12 | [
[
"Hsu",
"Hao-Lun",
""
],
[
"Gao",
"Qitong",
""
],
[
"Pajic",
"Miroslav",
""
]
] | Deep Brain Stimulation (DBS) stands as an effective intervention for alleviating the motor symptoms of Parkinson's disease (PD). Traditional commercial DBS devices are only able to deliver fixed-frequency periodic pulses to the basal ganglia (BG) regions of the brain, i.e., continuous DBS (cDBS). However, they in gener... |
2103.15171 | Ramya Ramakrishnan | Ramya Ramakrishnan, Vaibhav Unhelkar, Ece Kamar, Julie Shah | A Bayesian Approach to Identifying Representational Errors | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Trained AI systems and expert decision makers can make errors that are often
difficult to identify and understand. Determining the root cause for these
errors can improve future decisions. This work presents Generative Error Model
(GEM), a generative model for inferring representational errors based on
observations o... | [
{
"created": "Sun, 28 Mar 2021 16:43:01 GMT",
"version": "v1"
}
] | 2021-03-30 | [
[
"Ramakrishnan",
"Ramya",
""
],
[
"Unhelkar",
"Vaibhav",
""
],
[
"Kamar",
"Ece",
""
],
[
"Shah",
"Julie",
""
]
] | Trained AI systems and expert decision makers can make errors that are often difficult to identify and understand. Determining the root cause for these errors can improve future decisions. This work presents Generative Error Model (GEM), a generative model for inferring representational errors based on observations of ... |
2209.03225 | Qutub Syed Sha Mr. | Syed Qutub, Florian Geissler, Yang Peng, Ralf Grafe, Michael
Paulitsch, Gereon Hinz, Alois Knoll | Hardware faults that matter: Understanding and Estimating the safety
impact of hardware faults on object detection DNNs | 15 pages, accepted in safecomp22 conference | null | 10.1007/978-3-031-14835-4_20 | null | cs.CV cs.AI eess.IV | http://creativecommons.org/licenses/by/4.0/ | Object detection neural network models need to perform reliably in highly
dynamic and safety-critical environments like automated driving or robotics.
Therefore, it is paramount to verify the robustness of the detection under
unexpected hardware faults like soft errors that can impact a systems
perception module. Sta... | [
{
"created": "Wed, 7 Sep 2022 15:27:09 GMT",
"version": "v1"
}
] | 2022-09-08 | [
[
"Qutub",
"Syed",
""
],
[
"Geissler",
"Florian",
""
],
[
"Peng",
"Yang",
""
],
[
"Grafe",
"Ralf",
""
],
[
"Paulitsch",
"Michael",
""
],
[
"Hinz",
"Gereon",
""
],
[
"Knoll",
"Alois",
""
]
] | Object detection neural network models need to perform reliably in highly dynamic and safety-critical environments like automated driving or robotics. Therefore, it is paramount to verify the robustness of the detection under unexpected hardware faults like soft errors that can impact a systems perception module. Stand... |
1706.07198 | Asha V | V. Asha | Synthesis of Near-regular Natural Textures | 5 Pages, 10 Figures, IJCRD-5(1), 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Texture synthesis is widely used in the field of computer graphics, vision,
and image processing. In the present paper, a texture synthesis algorithm is
proposed for near-regular natural textures with the help of a representative
periodic pattern extracted from the input textures using distance matching
function. Loc... | [
{
"created": "Thu, 22 Jun 2017 07:58:20 GMT",
"version": "v1"
}
] | 2017-06-23 | [
[
"Asha",
"V.",
""
]
] | Texture synthesis is widely used in the field of computer graphics, vision, and image processing. In the present paper, a texture synthesis algorithm is proposed for near-regular natural textures with the help of a representative periodic pattern extracted from the input textures using distance matching function. Local... |
2104.01633 | Jia-Chang Feng | Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng | MIST: Multiple Instance Self-Training Framework for Video Anomaly
Detection | Accepted by CVPR 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Weakly supervised video anomaly detection (WS-VAD) is to distinguish
anomalies from normal events based on discriminative representations. Most
existing works are limited in insufficient video representations. In this work,
we develop a multiple instance self-training framework (MIST)to efficiently
refine task-specif... | [
{
"created": "Sun, 4 Apr 2021 15:47:14 GMT",
"version": "v1"
}
] | 2021-04-06 | [
[
"Feng",
"Jia-Chang",
""
],
[
"Hong",
"Fa-Ting",
""
],
[
"Zheng",
"Wei-Shi",
""
]
] | Weakly supervised video anomaly detection (WS-VAD) is to distinguish anomalies from normal events based on discriminative representations. Most existing works are limited in insufficient video representations. In this work, we develop a multiple instance self-training framework (MIST)to efficiently refine task-specific... |
2109.12613 | Jieming Zhu | Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi
Xiao, Xiuqiang He | SimpleX: A Simple and Strong Baseline for Collaborative Filtering | Accepted by CIKM 2021. Code available at
https://reczoo.github.io/SimpleX | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collaborative filtering (CF) is a widely studied research topic in
recommender systems. The learning of a CF model generally depends on three
major components, namely interaction encoder, loss function, and negative
sampling. While many existing studies focus on the design of more powerful
interaction encoders, the i... | [
{
"created": "Sun, 26 Sep 2021 14:09:25 GMT",
"version": "v1"
},
{
"created": "Sat, 25 Feb 2023 14:12:52 GMT",
"version": "v2"
},
{
"created": "Thu, 30 Nov 2023 02:38:32 GMT",
"version": "v3"
}
] | 2023-12-01 | [
[
"Mao",
"Kelong",
""
],
[
"Zhu",
"Jieming",
""
],
[
"Wang",
"Jinpeng",
""
],
[
"Dai",
"Quanyu",
""
],
[
"Dong",
"Zhenhua",
""
],
[
"Xiao",
"Xi",
""
],
[
"He",
"Xiuqiang",
""
]
] | Collaborative filtering (CF) is a widely studied research topic in recommender systems. The learning of a CF model generally depends on three major components, namely interaction encoder, loss function, and negative sampling. While many existing studies focus on the design of more powerful interaction encoders, the imp... |
2108.13801 | Andrea Bedin | Andrea Bedin, Federico Chiariotti, Stepan Kucera, Andrea Zanella | Optimal Latency-Oriented Scheduling in Parallel Queuing Systems | 17 pages, 15 figures. Accepted at Transactions on Communications | IEEE Transactions on Communications ( Volume: 70, Issue: 10,
October 2022), Pages: 6471 - 6488 | 10.1109/TCOMM.2022.3200105 | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | The evolution of 5G and Beyond networks has enabled new applications with
stringent end-to-end latency requirements, but providing reliable low-latency
service with high throughput over public wireless networks is still a
significant challenge. One of the possible ways to solve this is to exploit
path diversity, enco... | [
{
"created": "Tue, 31 Aug 2021 12:45:31 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Aug 2022 09:50:06 GMT",
"version": "v2"
}
] | 2022-10-19 | [
[
"Bedin",
"Andrea",
""
],
[
"Chiariotti",
"Federico",
""
],
[
"Kucera",
"Stepan",
""
],
[
"Zanella",
"Andrea",
""
]
] | The evolution of 5G and Beyond networks has enabled new applications with stringent end-to-end latency requirements, but providing reliable low-latency service with high throughput over public wireless networks is still a significant challenge. One of the possible ways to solve this is to exploit path diversity, encodi... |
2304.09395 | Yan Jin | Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song,
Jiang Bian | H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman
Problem | Accepted by AAAI 2023, February 2023 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an end-to-end learning framework based on hierarchical
reinforcement learning, called H-TSP, for addressing the large-scale Travelling
Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP
instance starting from the scratch relying on two components: the upper-level
policy chooses a sma... | [
{
"created": "Wed, 19 Apr 2023 03:10:30 GMT",
"version": "v1"
}
] | 2023-04-20 | [
[
"Pan",
"Xuanhao",
""
],
[
"Jin",
"Yan",
""
],
[
"Ding",
"Yuandong",
""
],
[
"Feng",
"Mingxiao",
""
],
[
"Zhao",
"Li",
""
],
[
"Song",
"Lei",
""
],
[
"Bian",
"Jiang",
""
]
] | We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Travelling Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP instance starting from the scratch relying on two components: the upper-level policy chooses a small... |
2008.02555 | George Alexandropoulos | Shaoe Lin and Beixiong Zheng and George C. Alexandropoulos and Miaowen
Wen and Marco Di Renzo and Fangjiong Chen | Reconfigurable Intelligent Surfaces with Reflection Pattern Modulation:
Beamforming Design and Performance Analysis | 31 pages; 7 figures; under minor revision for an IEEE journal | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent considerations for reconfigurable intelligent surfaces (RISs) assume
that RISs can convey information by reflection without the need of transmit
radio frequency chains, which, however, is a challenging task. In this paper,
we propose an RIS-enhanced multiple-input single-output system with reflection
pattern m... | [
{
"created": "Thu, 6 Aug 2020 10:12:42 GMT",
"version": "v1"
}
] | 2020-08-07 | [
[
"Lin",
"Shaoe",
""
],
[
"Zheng",
"Beixiong",
""
],
[
"Alexandropoulos",
"George C.",
""
],
[
"Wen",
"Miaowen",
""
],
[
"Di Renzo",
"Marco",
""
],
[
"Chen",
"Fangjiong",
""
]
] | Recent considerations for reconfigurable intelligent surfaces (RISs) assume that RISs can convey information by reflection without the need of transmit radio frequency chains, which, however, is a challenging task. In this paper, we propose an RIS-enhanced multiple-input single-output system with reflection pattern mod... |
1907.01463 | Matthew McDermott | Matthew B.A. McDermott (1), Shirly Wang (2), Nikki Marinsek (3),
Rajesh Ranganath (4), Marzyeh Ghassemi (2 and 5), Luca Foschini (3) ((1)
Massachusetts Institute of Technology, (2) University of Toronto, (3)
Evidation Health, Inc., (4) New York University, (5) Vector Institute) | Reproducibility in Machine Learning for Health | Presented at the ICLR 2019 Reproducibility in Machine Learning
Workshop | null | null | null | cs.LG cs.CY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning algorithms designed to characterize, monitor, and intervene
on human health (ML4H) are expected to perform safely and reliably when
operating at scale, potentially outside strict human supervision. This
requirement warrants a stricter attention to issues of reproducibility than
other fields of machin... | [
{
"created": "Tue, 2 Jul 2019 15:46:46 GMT",
"version": "v1"
}
] | 2019-07-03 | [
[
"McDermott",
"Matthew B. A.",
"",
"2 and 5"
],
[
"Wang",
"Shirly",
"",
"2 and 5"
],
[
"Marinsek",
"Nikki",
"",
"2 and 5"
],
[
"Ranganath",
"Rajesh",
"",
"2 and 5"
],
[
"Ghassemi",
"Marzyeh",
"",
"2 and 5"
],
[
... | Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision. This requirement warrants a stricter attention to issues of reproducibility than other fields of machine ... |
2404.01140 | Kyuhee Kim | Kyuhee Kim and Surin Lee and Sangah Lee | KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels | 12 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present KoCoNovel, a novel character coreference dataset
derived from Korean literary texts, complete with detailed annotation
guidelines. Comprising 178K tokens from 50 modern and contemporary novels,
KoCoNovel stands as one of the largest public coreference resolution corpora in
Korean, and the fi... | [
{
"created": "Mon, 1 Apr 2024 14:36:35 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2024 14:57:10 GMT",
"version": "v2"
}
] | 2024-04-12 | [
[
"Kim",
"Kyuhee",
""
],
[
"Lee",
"Surin",
""
],
[
"Lee",
"Sangah",
""
]
] | In this paper, we present KoCoNovel, a novel character coreference dataset derived from Korean literary texts, complete with detailed annotation guidelines. Comprising 178K tokens from 50 modern and contemporary novels, KoCoNovel stands as one of the largest public coreference resolution corpora in Korean, and the firs... |
1610.06934 | David Burstein | David Burstein and Leigh Metcalf | The K Shortest Paths Problem with Application to Routing | 37 pages, 6 figures | null | null | null | cs.DS cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to the computational complexity of finding almost shortest simple paths,
we propose that identifying a larger collection of (nonbacktracking) paths is
more efficient than finding almost shortest simple paths on positively weighted
real-world networks. First, we present an easy to implement $O(m\log m+kL)$
solutio... | [
{
"created": "Fri, 21 Oct 2016 20:02:53 GMT",
"version": "v1"
},
{
"created": "Thu, 4 May 2017 17:25:07 GMT",
"version": "v2"
},
{
"created": "Tue, 7 Nov 2017 17:25:15 GMT",
"version": "v3"
}
] | 2017-11-08 | [
[
"Burstein",
"David",
""
],
[
"Metcalf",
"Leigh",
""
]
] | Due to the computational complexity of finding almost shortest simple paths, we propose that identifying a larger collection of (nonbacktracking) paths is more efficient than finding almost shortest simple paths on positively weighted real-world networks. First, we present an easy to implement $O(m\log m+kL)$ solution ... |
2010.04801 | Yu-Chuan (Jane) Yen | Jane Yen and Tam\'as L\'evai and Qinyuan Ye and Xiang Ren and Ramesh
Govindan and Barath Raghavan | Semi-Automated Protocol Disambiguation and Code Generation | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For decades, Internet protocols have been specified using natural language.
Given the ambiguity inherent in such text, it is not surprising that protocol
implementations have long exhibited bugs. In this paper, we apply natural
language processing (NLP) to effect semi-automated generation of protocol
implementations ... | [
{
"created": "Fri, 9 Oct 2020 20:57:05 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Feb 2021 00:51:54 GMT",
"version": "v2"
}
] | 2021-02-03 | [
[
"Yen",
"Jane",
""
],
[
"Lévai",
"Tamás",
""
],
[
"Ye",
"Qinyuan",
""
],
[
"Ren",
"Xiang",
""
],
[
"Govindan",
"Ramesh",
""
],
[
"Raghavan",
"Barath",
""
]
] | For decades, Internet protocols have been specified using natural language. Given the ambiguity inherent in such text, it is not surprising that protocol implementations have long exhibited bugs. In this paper, we apply natural language processing (NLP) to effect semi-automated generation of protocol implementations fr... |
2110.08518 | Lei Cui | Junlong Li, Yiheng Xu, Lei Cui, Furu Wei | MarkupLM: Pre-training of Text and Markup Language for Visually-rich
Document Understanding | ACL 2022 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Multimodal pre-training with text, layout, and image has made significant
progress for Visually Rich Document Understanding (VRDU), especially the
fixed-layout documents such as scanned document images. While, there are still
a large number of digital documents where the layout information is not fixed
and needs to b... | [
{
"created": "Sat, 16 Oct 2021 09:17:28 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Mar 2022 15:38:07 GMT",
"version": "v2"
}
] | 2022-03-14 | [
[
"Li",
"Junlong",
""
],
[
"Xu",
"Yiheng",
""
],
[
"Cui",
"Lei",
""
],
[
"Wei",
"Furu",
""
]
] | Multimodal pre-training with text, layout, and image has made significant progress for Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such as scanned document images. While, there are still a large number of digital documents where the layout information is not fixed and needs to be ... |
2310.01361 | Lirui Wang | Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao,
Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang | GenSim: Generating Robotic Simulation Tasks via Large Language Models | See our project website (https://liruiw.github.io/gensim), demo and
datasets (https://huggingface.co/spaces/Gen-Sim/Gen-Sim), and code
(https://github.com/liruiw/GenSim) for more details | International Conference on Learning Representations (ICLR), 2024 | null | null | cs.LG cs.CL cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collecting large amounts of real-world interaction data to train general
robotic policies is often prohibitively expensive, thus motivating the use of
simulation data. However, existing methods for data generation have generally
focused on scene-level diversity (e.g., object instances and poses) rather than
task-leve... | [
{
"created": "Mon, 2 Oct 2023 17:23:48 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jan 2024 21:01:12 GMT",
"version": "v2"
}
] | 2024-01-23 | [
[
"Wang",
"Lirui",
""
],
[
"Ling",
"Yiyang",
""
],
[
"Yuan",
"Zhecheng",
""
],
[
"Shridhar",
"Mohit",
""
],
[
"Bao",
"Chen",
""
],
[
"Qin",
"Yuzhe",
""
],
[
"Wang",
"Bailin",
""
],
[
"Xu",
"Huazhe... | Collecting large amounts of real-world interaction data to train general robotic policies is often prohibitively expensive, thus motivating the use of simulation data. However, existing methods for data generation have generally focused on scene-level diversity (e.g., object instances and poses) rather than task-level ... |
1711.06862 | Rajnikant Sharma | Ishmaal Erekson, Rajnikant Sharma, Ashwini Ratnoo, Ryan Gerdes | Multi-vehicle Path Following using Modified Trajectory Shaping Guidance | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we formulate a virtual target-based path following guidance
law aimed towards multi-vehicle path following problem. The guidance law is
well suited to precisely follow circular paths while minting desired distance
between two adjacent vehicles where path information is only available to the
lead vehicl... | [
{
"created": "Sat, 18 Nov 2017 13:39:16 GMT",
"version": "v1"
}
] | 2017-11-21 | [
[
"Erekson",
"Ishmaal",
""
],
[
"Sharma",
"Rajnikant",
""
],
[
"Ratnoo",
"Ashwini",
""
],
[
"Gerdes",
"Ryan",
""
]
] | In this paper, we formulate a virtual target-based path following guidance law aimed towards multi-vehicle path following problem. The guidance law is well suited to precisely follow circular paths while minting desired distance between two adjacent vehicles where path information is only available to the lead vehicle.... |
2008.05723 | Saket Anand | Sharat Agarwal and Himanshu Arora and Saket Anand and Chetan Arora | Contextual Diversity for Active Learning | A variant of this report is accepted in ECCV 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Requirement of large annotated datasets restrict the use of deep
convolutional neural networks (CNNs) for many practical applications. The
problem can be mitigated by using active learning (AL) techniques which, under
a given annotation budget, allow to select a subset of data that yields maximum
accuracy upon fine t... | [
{
"created": "Thu, 13 Aug 2020 07:04:15 GMT",
"version": "v1"
}
] | 2020-08-14 | [
[
"Agarwal",
"Sharat",
""
],
[
"Arora",
"Himanshu",
""
],
[
"Anand",
"Saket",
""
],
[
"Arora",
"Chetan",
""
]
] | Requirement of large annotated datasets restrict the use of deep convolutional neural networks (CNNs) for many practical applications. The problem can be mitigated by using active learning (AL) techniques which, under a given annotation budget, allow to select a subset of data that yields maximum accuracy upon fine tun... |
2205.10059 | Jinyu Guo | Jinyu Guo, Kai Shuang, Jijie Li, Zihan Wang and Yixuan Liu | Beyond the Granularity: Multi-Perspective Dialogue Collaborative
Selection for Dialogue State Tracking | Accepted by ACL 2022 main conference (long paper) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In dialogue state tracking, dialogue history is a crucial material, and its
utilization varies between different models. However, no matter how the
dialogue history is used, each existing model uses its own consistent dialogue
history during the entire state tracking process, regardless of which slot is
updated. Appa... | [
{
"created": "Fri, 20 May 2022 10:08:45 GMT",
"version": "v1"
}
] | 2022-05-23 | [
[
"Guo",
"Jinyu",
""
],
[
"Shuang",
"Kai",
""
],
[
"Li",
"Jijie",
""
],
[
"Wang",
"Zihan",
""
],
[
"Liu",
"Yixuan",
""
]
] | In dialogue state tracking, dialogue history is a crucial material, and its utilization varies between different models. However, no matter how the dialogue history is used, each existing model uses its own consistent dialogue history during the entire state tracking process, regardless of which slot is updated. Appare... |
2102.05474 | Zhuosheng Zhang | Zhuosheng Zhang, Junlong Li, Hai Zhao | Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge | The early version accepted by IEEE/ACM Transactions on Audio, Speech,
and Language Processing (TASLP) | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-turn dialogue reading comprehension aims to teach machines to read
dialogue contexts and solve tasks such as response selection and answering
questions. The major challenges involve noisy history contexts and especial
prerequisites of commonsense knowledge that is unseen in the given material.
Existing works ma... | [
{
"created": "Wed, 10 Feb 2021 15:00:12 GMT",
"version": "v1"
}
] | 2021-02-11 | [
[
"Zhang",
"Zhuosheng",
""
],
[
"Li",
"Junlong",
""
],
[
"Zhao",
"Hai",
""
]
] | Multi-turn dialogue reading comprehension aims to teach machines to read dialogue contexts and solve tasks such as response selection and answering questions. The major challenges involve noisy history contexts and especial prerequisites of commonsense knowledge that is unseen in the given material. Existing works main... |
2104.11476 | Pham Quang Nhat Minh Mr | Nguyen Manh Duc Tuan, Pham Quang Nhat Minh | Multimodal Fusion with BERT and Attention Mechanism for Fake News
Detection | RIVF 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Fake news detection is an important task for increasing the credibility of
information on the media since fake news is constantly spreading on social
media every day and it is a very serious concern in our society. Fake news is
usually created by manipulating images, texts, and videos. In this paper, we
present a nov... | [
{
"created": "Fri, 23 Apr 2021 08:47:54 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Apr 2021 05:16:15 GMT",
"version": "v2"
}
] | 2021-04-28 | [
[
"Tuan",
"Nguyen Manh Duc",
""
],
[
"Minh",
"Pham Quang Nhat",
""
]
] | Fake news detection is an important task for increasing the credibility of information on the media since fake news is constantly spreading on social media every day and it is a very serious concern in our society. Fake news is usually created by manipulating images, texts, and videos. In this paper, we present a novel... |
2405.19559 | Mohamed Seif | Mohamed Seif, Yanxi Chen | Clustering Mixtures of Discrete Distributions: A Note on Mitra's
Algorithm | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this note, we provide a refined analysis of Mitra's algorithm
\cite{mitra2008clustering} for classifying general discrete mixture
distribution models. Built upon spectral clustering
\cite{mcsherry2001spectral}, this algorithm offers compelling conditions for
probability distributions. We enhance this analysis by t... | [
{
"created": "Wed, 29 May 2024 22:55:45 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Seif",
"Mohamed",
""
],
[
"Chen",
"Yanxi",
""
]
] | In this note, we provide a refined analysis of Mitra's algorithm \cite{mitra2008clustering} for classifying general discrete mixture distribution models. Built upon spectral clustering \cite{mcsherry2001spectral}, this algorithm offers compelling conditions for probability distributions. We enhance this analysis by tai... |
1801.05151 | Kai Qiao | Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Ying Zeng, Bin Yan | Constraint-free Natural Image Reconstruction from fMRI Signals Based on
Convolutional Neural Network | null | null | null | null | cs.CV cs.AI q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, research on decoding brain activity based on functional
magnetic resonance imaging (fMRI) has made remarkable achievements. However,
constraint-free natural image reconstruction from brain activity is still a
challenge. The existing methods simplified the problem by using semantic prior
information o... | [
{
"created": "Tue, 16 Jan 2018 08:34:18 GMT",
"version": "v1"
}
] | 2018-01-17 | [
[
"Zhang",
"Chi",
""
],
[
"Qiao",
"Kai",
""
],
[
"Wang",
"Linyuan",
""
],
[
"Tong",
"Li",
""
],
[
"Zeng",
"Ying",
""
],
[
"Yan",
"Bin",
""
]
] | In recent years, research on decoding brain activity based on functional magnetic resonance imaging (fMRI) has made remarkable achievements. However, constraint-free natural image reconstruction from brain activity is still a challenge. The existing methods simplified the problem by using semantic prior information or ... |
2312.02532 | Keonwoo Kim | Keonwoo Kim and Younggun Lee | DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework | null | null | null | null | cs.IR cs.CL | http://creativecommons.org/licenses/by/4.0/ | With the growing volume of diverse information, the demand for classifying
arbitrary topics has become increasingly critical. To address this challenge,
we introduce DRAFT, a simple framework designed to train a classifier for
few-shot topic classification. DRAFT uses a few examples of a specific topic as
queries to ... | [
{
"created": "Tue, 5 Dec 2023 06:28:45 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Kim",
"Keonwoo",
""
],
[
"Lee",
"Younggun",
""
]
] | With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical. To address this challenge, we introduce DRAFT, a simple framework designed to train a classifier for few-shot topic classification. DRAFT uses a few examples of a specific topic as queries to co... |
1808.08603 | Xinlei Pan | Xinlei Pan, Sung-Li Chiang, John Canny | Label and Sample: Efficient Training of Vehicle Object Detector from
Sparsely Labeled Data | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-driving vehicle vision systems must deal with an extremely broad and
challenging set of scenes. They can potentially exploit an enormous amount of
training data collected from vehicles in the field, but the volumes are too
large to train offline naively. Not all training instances are equally valuable
though, an... | [
{
"created": "Sun, 26 Aug 2018 18:10:23 GMT",
"version": "v1"
}
] | 2018-08-28 | [
[
"Pan",
"Xinlei",
""
],
[
"Chiang",
"Sung-Li",
""
],
[
"Canny",
"John",
""
]
] | Self-driving vehicle vision systems must deal with an extremely broad and challenging set of scenes. They can potentially exploit an enormous amount of training data collected from vehicles in the field, but the volumes are too large to train offline naively. Not all training instances are equally valuable though, and ... |
2203.11076 | Viet Khoa Tran | Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang, Nguyen Linh Trung, Tran
Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha and Eryk Dutkiewicz | Collaborative Learning for Cyberattack Detection in Blockchain Networks | null | IEEE Transactions on Systems, Man, and Cybernetics: Systems (2024) | 10.1109/TSMC.2024.3374280 | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This article aims to study intrusion attacks and then develop a novel
cyberattack detection framework to detect cyberattacks at the network layer
(e.g., Brute Password and Flooding of Transactions) of blockchain networks.
Specifically, we first design and implement a blockchain network in our
laboratory. This blockch... | [
{
"created": "Mon, 21 Mar 2022 15:55:41 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Sep 2022 07:52:01 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Jul 2023 03:29:28 GMT",
"version": "v3"
},
{
"created": "Mon, 6 May 2024 15:58:41 GMT",
"version": "v4"
}
] | 2024-05-07 | [
[
"Khoa",
"Tran Viet",
""
],
[
"Son",
"Do Hai",
""
],
[
"Hoang",
"Dinh Thai",
""
],
[
"Trung",
"Nguyen Linh",
""
],
[
"Quynh",
"Tran Thi Thuy",
""
],
[
"Nguyen",
"Diep N.",
""
],
[
"Ha",
"Nguyen Viet",
""
]... | This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding of Transactions) of blockchain networks. Specifically, we first design and implement a blockchain network in our laboratory. This blockchai... |
2005.04437 | Sravan Mylavarapu | Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna,
Balaraman Ravindran, Anoop Namboodiri | Understanding Dynamic Scenes using Graph Convolution Networks | To appear at IROS 2020 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based
framework to model on-road vehicle behaviors from a sequence of temporally
ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a
multi-relational graph where the graph's nodes represent the active and passive
agent... | [
{
"created": "Sat, 9 May 2020 13:05:06 GMT",
"version": "v1"
},
{
"created": "Fri, 15 May 2020 06:11:03 GMT",
"version": "v2"
},
{
"created": "Tue, 21 Jul 2020 05:33:55 GMT",
"version": "v3"
},
{
"created": "Thu, 13 Aug 2020 11:20:01 GMT",
"version": "v4"
},
{
"cr... | 2020-08-17 | [
[
"Mylavarapu",
"Sravan",
""
],
[
"Sandhu",
"Mahtab",
""
],
[
"Vijayan",
"Priyesh",
""
],
[
"Krishna",
"K Madhava",
""
],
[
"Ravindran",
"Balaraman",
""
],
[
"Namboodiri",
"Anoop",
""
]
] | We present a novel Multi-Relational Graph Convolutional Network (MRGCN) based framework to model on-road vehicle behaviors from a sequence of temporally ordered frames as grabbed by a moving monocular camera. The input to MRGCN is a multi-relational graph where the graph's nodes represent the active and passive agents/... |
1902.09162 | Shuai Li | Shuai Li, Wei Chen, Shuai Li, Kwong-Sak Leung | Improved Algorithm on Online Clustering of Bandits | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We generalize the setting of online clustering of bandits by allowing
non-uniform distribution over user frequencies. A more efficient algorithm is
proposed with simple set structures to represent clusters. We prove a regret
bound for the new algorithm which is free of the minimal frequency over users.
The experiment... | [
{
"created": "Mon, 25 Feb 2019 09:31:15 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Jul 2019 08:43:49 GMT",
"version": "v2"
}
] | 2019-07-03 | [
[
"Li",
"Shuai",
""
],
[
"Chen",
"Wei",
""
],
[
"Li",
"Shuai",
""
],
[
"Leung",
"Kwong-Sak",
""
]
] | We generalize the setting of online clustering of bandits by allowing non-uniform distribution over user frequencies. A more efficient algorithm is proposed with simple set structures to represent clusters. We prove a regret bound for the new algorithm which is free of the minimal frequency over users. The experiments ... |
2403.17969 | Arafat Islam | Arafat Islam, Md. Imtiaz Habib | Antimagic Labeling of Graphs Using Prime Numbers | 11 pages, 15 figures | null | null | null | cs.DM math.CO | http://creativecommons.org/licenses/by/4.0/ | Graph labeling is a technique that assigns unique labels or weights to the
vertices or edges of a graph, often used to analyze and solve various
graph-related problems. There are few methods with certain limitations
conducted by researchers previously on this topic. This research paper focuses
on antimagic labeling o... | [
{
"created": "Sat, 16 Mar 2024 13:09:44 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Islam",
"Arafat",
""
],
[
"Habib",
"Md. Imtiaz",
""
]
] | Graph labeling is a technique that assigns unique labels or weights to the vertices or edges of a graph, often used to analyze and solve various graph-related problems. There are few methods with certain limitations conducted by researchers previously on this topic. This research paper focuses on antimagic labeling of ... |
2403.14468 | Max Ku | Max Ku and Cong Wei and Weiming Ren and Harry Yang and Wenhu Chen | AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks | preprint | null | null | null | cs.CV cs.AI cs.MM | http://creativecommons.org/licenses/by/4.0/ | In the dynamic field of digital content creation using generative models,
state-of-the-art video editing models still do not offer the level of quality
and control that users desire. Previous works on video editing either extended
from image-based generative models in a zero-shot manner or necessitated
extensive fine... | [
{
"created": "Thu, 21 Mar 2024 15:15:00 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Mar 2024 02:16:40 GMT",
"version": "v2"
},
{
"created": "Mon, 10 Jun 2024 18:38:00 GMT",
"version": "v3"
}
] | 2024-06-12 | [
[
"Ku",
"Max",
""
],
[
"Wei",
"Cong",
""
],
[
"Ren",
"Weiming",
""
],
[
"Yang",
"Harry",
""
],
[
"Chen",
"Wenhu",
""
]
] | In the dynamic field of digital content creation using generative models, state-of-the-art video editing models still do not offer the level of quality and control that users desire. Previous works on video editing either extended from image-based generative models in a zero-shot manner or necessitated extensive fine-t... |
1303.5714 | Gregory F. Cooper | Gregory F. Cooper, Edward H. Herskovits | A Bayesian Method for Constructing Bayesian Belief Networks from
Databases | Appears in Proceedings of the Seventh Conference on Uncertainty in
Artificial Intelligence (UAI1991) | null | null | UAI-P-1991-PG-86-94 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a Bayesian method for constructing Bayesian belief
networks from a database of cases. Potential applications include
computer-assisted hypothesis testing, automated scientific discovery, and
automated construction of probabilistic expert systems. Results are presented
of a preliminary evaluation o... | [
{
"created": "Wed, 20 Mar 2013 15:30:21 GMT",
"version": "v1"
}
] | 2013-03-26 | [
[
"Cooper",
"Gregory F.",
""
],
[
"Herskovits",
"Edward H.",
""
]
] | This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. Results are presented of a preliminary evaluation of ... |
2009.12125 | Enrique Garcia-Ceja | Enrique Garcia-Ceja, {\AA}smund Hugo, Brice Morin, Per-Olav Hansen,
Espen Martinsen, An Ngoc Lam, {\O}ystein Haugen | Towards the Automation of a Chemical Sulphonation Process with Machine
Learning | Published in: 2019 7th International Conference on Control,
Mechatronics and Automation (ICCMA) | 2019 7th International Conference on Control, Mechatronics and
Automation (ICCMA) (pp. 352-357). IEEE | 10.1109/ICCMA46720.2019.8988752 | null | cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, the continuous improvement and automation of industrial processes
has become a key factor in many fields, and in the chemical industry, it is no
exception. This translates into a more efficient use of resources, reduced
production time, output of higher quality and reduced waste. Given the
complexity of tod... | [
{
"created": "Fri, 25 Sep 2020 10:56:41 GMT",
"version": "v1"
}
] | 2020-09-28 | [
[
"Garcia-Ceja",
"Enrique",
""
],
[
"Hugo",
"Åsmund",
""
],
[
"Morin",
"Brice",
""
],
[
"Hansen",
"Per-Olav",
""
],
[
"Martinsen",
"Espen",
""
],
[
"Lam",
"An Ngoc",
""
],
[
"Haugen",
"Øystein",
""
]
] | Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translates into a more efficient use of resources, reduced production time, output of higher quality and reduced waste. Given the complexity of today... |
1502.01699 | Tolga Eren | Tolga Eren | Graph invariants for unique localizability in cooperative localization
of wireless sensor networks: rigidity index and redundancy index | 13 pages, 7 figures, to be submitted for possible journal publication | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Rigidity theory enables us to specify the conditions of unique localizability
in the cooperative localization problem of wireless sensor networks. This paper
presents a combinatorial rigidity approach to measure (i) generic rigidity and
(ii) generalized redundant rigidity properties of graph structures through
graph ... | [
{
"created": "Thu, 5 Feb 2015 20:06:47 GMT",
"version": "v1"
}
] | 2015-02-06 | [
[
"Eren",
"Tolga",
""
]
] | Rigidity theory enables us to specify the conditions of unique localizability in the cooperative localization problem of wireless sensor networks. This paper presents a combinatorial rigidity approach to measure (i) generic rigidity and (ii) generalized redundant rigidity properties of graph structures through graph in... |
2110.11001 | Philipp Terh\"orst | Philipp Terh\"orst, Marco Huber, Naser Damer, Florian Kirchbuchner,
Kiran Raja, Arjan Kuijper | Pixel-Level Face Image Quality Assessment for Explainable Face
Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | An essential factor to achieve high performance in face recognition systems
is the quality of its samples. Since these systems are involved in daily life
there is a strong need of making face recognition processes understandable for
humans. In this work, we introduce the concept of pixel-level face image
quality that... | [
{
"created": "Thu, 21 Oct 2021 09:12:17 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Nov 2021 12:20:28 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Nov 2021 09:37:14 GMT",
"version": "v3"
}
] | 2021-12-01 | [
[
"Terhörst",
"Philipp",
""
],
[
"Huber",
"Marco",
""
],
[
"Damer",
"Naser",
""
],
[
"Kirchbuchner",
"Florian",
""
],
[
"Raja",
"Kiran",
""
],
[
"Kuijper",
"Arjan",
""
]
] | An essential factor to achieve high performance in face recognition systems is the quality of its samples. Since these systems are involved in daily life there is a strong need of making face recognition processes understandable for humans. In this work, we introduce the concept of pixel-level face image quality that d... |
2005.04048 | Lars Hertel | Lars Hertel, Julian Collado, Peter Sadowski, Jordan Ott, Pierre Baldi | Sherpa: Robust Hyperparameter Optimization for Machine Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sherpa is a hyperparameter optimization library for machine learning models.
It is specifically designed for problems with computationally expensive,
iterative function evaluations, such as the hyperparameter tuning of deep
neural networks. With Sherpa, scientists can quickly optimize hyperparameters
using a variety ... | [
{
"created": "Fri, 8 May 2020 13:52:49 GMT",
"version": "v1"
}
] | 2020-05-11 | [
[
"Hertel",
"Lars",
""
],
[
"Collado",
"Julian",
""
],
[
"Sadowski",
"Peter",
""
],
[
"Ott",
"Jordan",
""
],
[
"Baldi",
"Pierre",
""
]
] | Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations, such as the hyperparameter tuning of deep neural networks. With Sherpa, scientists can quickly optimize hyperparameters using a variety of... |
2310.02069 | Khaish Chadha | Khaish Singh Chadha, Prabhat Kumar | TOaCNN: Adaptive Convolutional Neural Network for Multidisciplinary
Topology Optimization | Accepted in 6th NCMDAO 2023 | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an adaptive convolutional neural network (CNN)
architecture that can automate diverse topology optimization (TO) problems
having different underlying physics. The architecture uses the encoder-decoder
networks with dense layers in the middle which includes an additional adaptive
layer to capture c... | [
{
"created": "Tue, 3 Oct 2023 14:12:36 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Chadha",
"Khaish Singh",
""
],
[
"Kumar",
"Prabhat",
""
]
] | This paper presents an adaptive convolutional neural network (CNN) architecture that can automate diverse topology optimization (TO) problems having different underlying physics. The architecture uses the encoder-decoder networks with dense layers in the middle which includes an additional adaptive layer to capture com... |
1608.07916 | Bo Li | Bo Li, Tianlei Zhang, Tian Xia | Vehicle Detection from 3D Lidar Using Fully Convolutional Network | Robotics: Science and Systems, 2016 | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional network techniques have recently achieved great success in
vision based detection tasks. This paper introduces the recent development of
our research on transplanting the fully convolutional network technique to the
detection tasks on 3D range scan data. Specifically, the scenario is set as the
vehicle ... | [
{
"created": "Mon, 29 Aug 2016 05:57:36 GMT",
"version": "v1"
}
] | 2016-08-30 | [
[
"Li",
"Bo",
""
],
[
"Zhang",
"Tianlei",
""
],
[
"Xia",
"Tian",
""
]
] | Convolutional network techniques have recently achieved great success in vision based detection tasks. This paper introduces the recent development of our research on transplanting the fully convolutional network technique to the detection tasks on 3D range scan data. Specifically, the scenario is set as the vehicle de... |
2407.01796 | Sirui Xia | Sirui Xia, Xintao Wang, Jiaqing Liang, Yifei Zhang, Weikang Zhou,
Jiaji Deng, Fei Yu, Yanghua Xiao | Ground Every Sentence: Improving Retrieval-Augmented LLMs with
Interleaved Reference-Claim Generation | 15 pages,2 figures | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Retrieval-Augmented Generation (RAG) has been widely adopted to enhance Large
Language Models (LLMs) in knowledge-intensive tasks. Recently, Attributed Text
Generation (ATG) has attracted growing attention, which provides citations to
support the model's responses in RAG, so as to enhance the credibility of
LLM-gener... | [
{
"created": "Mon, 1 Jul 2024 20:47:47 GMT",
"version": "v1"
}
] | 2024-07-03 | [
[
"Xia",
"Sirui",
""
],
[
"Wang",
"Xintao",
""
],
[
"Liang",
"Jiaqing",
""
],
[
"Zhang",
"Yifei",
""
],
[
"Zhou",
"Weikang",
""
],
[
"Deng",
"Jiaji",
""
],
[
"Yu",
"Fei",
""
],
[
"Xiao",
"Yanghua"... | Retrieval-Augmented Generation (RAG) has been widely adopted to enhance Large Language Models (LLMs) in knowledge-intensive tasks. Recently, Attributed Text Generation (ATG) has attracted growing attention, which provides citations to support the model's responses in RAG, so as to enhance the credibility of LLM-generat... |
1701.06106 | Sahil Garg | Sahil Garg, Irina Rish, Guillermo Cecchi, Aurelie Lozano | Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a
Changing World | null | null | null | null | cs.LG cs.AI cs.CV cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we focus on online representation learning in non-stationary
environments which may require continuous adaptation of model architecture. We
propose a novel online dictionary-learning (sparse-coding) framework which
incorporates the addition and deletion of hidden units (dictionary elements),
and is ins... | [
{
"created": "Sun, 22 Jan 2017 00:35:24 GMT",
"version": "v1"
},
{
"created": "Sun, 19 Feb 2017 08:15:55 GMT",
"version": "v2"
}
] | 2018-02-07 | [
[
"Garg",
"Sahil",
""
],
[
"Rish",
"Irina",
""
],
[
"Cecchi",
"Guillermo",
""
],
[
"Lozano",
"Aurelie",
""
]
] | In this paper, we focus on online representation learning in non-stationary environments which may require continuous adaptation of model architecture. We propose a novel online dictionary-learning (sparse-coding) framework which incorporates the addition and deletion of hidden units (dictionary elements), and is inspi... |
2403.12154 | Mariam Hassan | Mariam Hassan, Florent Forest, Olga Fink and Malcolm Mielle | ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View
Synthesis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Thermal scene reconstruction exhibit great potential for applications across
a broad spectrum of fields, including building energy consumption analysis and
non-destructive testing. However, existing methods typically require dense
scene measurements and often rely on RGB images for 3D geometry reconstruction,
with th... | [
{
"created": "Mon, 18 Mar 2024 18:10:34 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Hassan",
"Mariam",
""
],
[
"Forest",
"Florent",
""
],
[
"Fink",
"Olga",
""
],
[
"Mielle",
"Malcolm",
""
]
] | Thermal scene reconstruction exhibit great potential for applications across a broad spectrum of fields, including building energy consumption analysis and non-destructive testing. However, existing methods typically require dense scene measurements and often rely on RGB images for 3D geometry reconstruction, with ther... |
1409.6626 | Bernhard Rumpe | Hans Gr\"onninger, Jochen Hartmann, Holger Krahn, Stefan Kriebel,
Bernhard Rumpe | View-Based Modeling of Function Nets | 6 pages, 4 figures | Proceedings of the Object-oriented Modelling of Embedded Real-Time
Systems (OMER4) Workshop, Paderborn, October 2007 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an approach to model features and function nets of
automotive systems comprehensively. In order to bridge the gap between feature
requirements and function nets, we describe an approach to describe both using
a SysML-based notation. If requirements on the automotive system are changed by
several d... | [
{
"created": "Mon, 22 Sep 2014 12:36:48 GMT",
"version": "v1"
}
] | 2014-09-24 | [
[
"Grönninger",
"Hans",
""
],
[
"Hartmann",
"Jochen",
""
],
[
"Krahn",
"Holger",
""
],
[
"Kriebel",
"Stefan",
""
],
[
"Rumpe",
"Bernhard",
""
]
] | This paper presents an approach to model features and function nets of automotive systems comprehensively. In order to bridge the gap between feature requirements and function nets, we describe an approach to describe both using a SysML-based notation. If requirements on the automotive system are changed by several dev... |
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