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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1709.00273 | Haitian Pang | Haitian Pang, Lin Gao, Qinghua Ding and Lifeng Sun | When Data Sponsoring Meets Edge Caching: A Game-Theoretic Analysis | 6 pages, accepted by GLOBECOM 2017 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data sponsoring is a widely-used incentive method in today's cellular
networks, where video content providers (CPs) cover part or all of the cellular
data cost for mobile users so as to attract more video users and increase data
traffic. In the forthcoming 5G cellular networks, edge caching is emerging as a
promising... | [
{
"created": "Fri, 1 Sep 2017 12:28:06 GMT",
"version": "v1"
}
] | 2017-09-04 | [
[
"Pang",
"Haitian",
""
],
[
"Gao",
"Lin",
""
],
[
"Ding",
"Qinghua",
""
],
[
"Sun",
"Lifeng",
""
]
] | Data sponsoring is a widely-used incentive method in today's cellular networks, where video content providers (CPs) cover part or all of the cellular data cost for mobile users so as to attract more video users and increase data traffic. In the forthcoming 5G cellular networks, edge caching is emerging as a promising t... |
2408.01526 | Lukas Kratochvila | Lukas Kratochvila, Gijs de Jong, Monique Arkesteijn, Simon Bilik,
Tomas Zemcik, Karel Horak, Jan S. Rellermeyer | Multi-Unit Floor Plan Recognition and Reconstruction Using Improved
Semantic Segmentation of Raster-Wise Floor Plans | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Digital twins have a major potential to form a significant part of urban
management in emergency planning, as they allow more efficient designing of the
escape routes, better orientation in exceptional situations, and faster rescue
intervention. Nevertheless, creating the twins still remains a largely manual
effort, ... | [
{
"created": "Fri, 2 Aug 2024 18:36:45 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Kratochvila",
"Lukas",
""
],
[
"de Jong",
"Gijs",
""
],
[
"Arkesteijn",
"Monique",
""
],
[
"Bilik",
"Simon",
""
],
[
"Zemcik",
"Tomas",
""
],
[
"Horak",
"Karel",
""
],
[
"Rellermeyer",
"Jan S.",
""
]
] | Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape routes, better orientation in exceptional situations, and faster rescue intervention. Nevertheless, creating the twins still remains a largely manual effort, du... |
2204.02929 | Carlos Linares L\'opez | Sofia Lemons and Carlos Linares L\'opez and Robert C. Holte and
Wheeler Ruml | Beam Search: Faster and Monotonic | 9 pages, 15 figures, 3 algorithms, published in the International
Conference on Automated Planning and Scheduling ICAPS 2022 | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Beam search is a popular satisficing approach to heuristic search problems
that allows one to trade increased computation time for lower solution cost by
increasing the beam width parameter. We make two contributions to the study of
beam search. First, we show how to make beam search monotonic; that is, we
provide a ... | [
{
"created": "Wed, 6 Apr 2022 16:40:13 GMT",
"version": "v1"
}
] | 2022-04-07 | [
[
"Lemons",
"Sofia",
""
],
[
"López",
"Carlos Linares",
""
],
[
"Holte",
"Robert C.",
""
],
[
"Ruml",
"Wheeler",
""
]
] | Beam search is a popular satisficing approach to heuristic search problems that allows one to trade increased computation time for lower solution cost by increasing the beam width parameter. We make two contributions to the study of beam search. First, we show how to make beam search monotonic; that is, we provide a ne... |
2402.06852 | Di Zhang | Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan,
Jiatong Li, Weiran Huang, Xiangyu Yue, Wanli Ouyang, Dongzhan Zhou, Shufei
Zhang, Mao Su, Han-Sen Zhong and Yuqiang Li | ChemLLM: A Chemical Large Language Model | 9 pages, 5 figures | null | null | null | cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | Large language models (LLMs) have made impressive progress in chemistry
applications. However, the community lacks an LLM specifically designed for
chemistry. The main challenges are two-fold: firstly, most chemical data and
scientific knowledge are stored in structured databases, which limits the
model's ability to ... | [
{
"created": "Sat, 10 Feb 2024 01:11:59 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Apr 2024 14:34:28 GMT",
"version": "v2"
}
] | 2024-04-26 | [
[
"Zhang",
"Di",
""
],
[
"Liu",
"Wei",
""
],
[
"Tan",
"Qian",
""
],
[
"Chen",
"Jingdan",
""
],
[
"Yan",
"Hang",
""
],
[
"Yan",
"Yuliang",
""
],
[
"Li",
"Jiatong",
""
],
[
"Huang",
"Weiran",
""... | Large language models (LLMs) have made impressive progress in chemistry applications. However, the community lacks an LLM specifically designed for chemistry. The main challenges are two-fold: firstly, most chemical data and scientific knowledge are stored in structured databases, which limits the model's ability to su... |
2311.13286 | Michael Klenk | Michael Klenk | Algorithmic Transparency and Manipulation | null | null | 10.1007/s13347-023-00678-9 | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A series of recent papers raises worries about the manipulative potential of
algorithmic transparency. But while the concern is apt and relevant, it is
based on a fraught understanding of manipulation. Therefore, this paper draws
attention to the indifference view of manipulation, which explains better than
the vulne... | [
{
"created": "Wed, 22 Nov 2023 10:09:06 GMT",
"version": "v1"
}
] | 2023-11-23 | [
[
"Klenk",
"Michael",
""
]
] | A series of recent papers raises worries about the manipulative potential of algorithmic transparency. But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the indifference view of manipulation, which explains better than the vulnera... |
2404.03591 | Orcun Yildiz | Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, and Tom
Peterka | Wilkins: HPC In Situ Workflows Made Easy | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In situ approaches can accelerate the pace of scientific discoveries by
allowing scientists to perform data analysis at simulation time. Current in
situ workflow systems, however, face challenges in handling the growing
complexity and diverse computational requirements of scientific tasks. In this
work, we present Wi... | [
{
"created": "Thu, 4 Apr 2024 16:59:13 GMT",
"version": "v1"
}
] | 2024-04-05 | [
[
"Yildiz",
"Orcun",
""
],
[
"Morozov",
"Dmitriy",
""
],
[
"Nigmetov",
"Arnur",
""
],
[
"Nicolae",
"Bogdan",
""
],
[
"Peterka",
"Tom",
""
]
] | In situ approaches can accelerate the pace of scientific discoveries by allowing scientists to perform data analysis at simulation time. Current in situ workflow systems, however, face challenges in handling the growing complexity and diverse computational requirements of scientific tasks. In this work, we present Wilk... |
2310.14444 | Asif Imran | Asif Imran and Tevfik Kosar | URegM: a unified prediction model of resource consumption for
refactoring software smells in open source cloud | null | 2022 The 3rd European Symposium on Software Engineering (ESSE
2022) | null | null | cs.SE cs.LG | http://creativecommons.org/licenses/by/4.0/ | The low cost and rapid provisioning capabilities have made the cloud a
desirable platform to launch complex scientific applications. However, resource
utilization optimization is a significant challenge for cloud service
providers, since the earlier focus is provided on optimizing resources for the
applications that ... | [
{
"created": "Sun, 22 Oct 2023 23:03:35 GMT",
"version": "v1"
}
] | 2023-10-24 | [
[
"Imran",
"Asif",
""
],
[
"Kosar",
"Tevfik",
""
]
] | The low cost and rapid provisioning capabilities have made the cloud a desirable platform to launch complex scientific applications. However, resource utilization optimization is a significant challenge for cloud service providers, since the earlier focus is provided on optimizing resources for the applications that ru... |
1708.01938 | Ori Ganoni | Ori Ganoni, Ramakrishnan Mukundan | A Framework for Visually Realistic Multi-robot Simulation in Natural
Environment | WSCG 2017 conference | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a generalized framework for the simulation of multiple
robots and drones in highly realistic models of natural environments. The
proposed simulation architecture uses the Unreal Engine4 for generating both
optical and depth sensor outputs from any position and orientation within the
environment an... | [
{
"created": "Sun, 6 Aug 2017 21:41:42 GMT",
"version": "v1"
}
] | 2017-08-08 | [
[
"Ganoni",
"Ori",
""
],
[
"Mukundan",
"Ramakrishnan",
""
]
] | This paper presents a generalized framework for the simulation of multiple robots and drones in highly realistic models of natural environments. The proposed simulation architecture uses the Unreal Engine4 for generating both optical and depth sensor outputs from any position and orientation within the environment and ... |
2012.08777 | Mariya Hendriksen | Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter,
Maarten de Rijke | Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs.
Identified Customers | 10 pages, accepted at SIGIR eCommerce 2020 | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | The popularity of e-commerce platforms continues to grow. Being able to
understand, and predict customer behavior is essential for customizing the user
experience through personalized result presentations, recommendations, and
special offers. Previous work has considered a broad range of prediction models
as well as ... | [
{
"created": "Wed, 16 Dec 2020 07:43:44 GMT",
"version": "v1"
}
] | 2020-12-17 | [
[
"Hendriksen",
"Mariya",
""
],
[
"Kuiper",
"Ernst",
""
],
[
"Nauts",
"Pim",
""
],
[
"Schelter",
"Sebastian",
""
],
[
"de Rijke",
"Maarten",
""
]
] | The popularity of e-commerce platforms continues to grow. Being able to understand, and predict customer behavior is essential for customizing the user experience through personalized result presentations, recommendations, and special offers. Previous work has considered a broad range of prediction models as well as fe... |
2208.12389 | Christian Manasseh | Christian Manasseh, Razvan Veliche, Jared Bennett, Hamilton Clouse | Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely
Time-Decoupled Events | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Humans learn from the occurrence of events in a different place and time to
predict similar trajectories of events. We define Loosely Decoupled Timeseries
(LDT) phenomena as two or more events that could happen in different places and
across different timelines but share similarities in the nature of the event
and th... | [
{
"created": "Fri, 26 Aug 2022 01:00:19 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"Manasseh",
"Christian",
""
],
[
"Veliche",
"Razvan",
""
],
[
"Bennett",
"Jared",
""
],
[
"Clouse",
"Hamilton",
""
]
] | Humans learn from the occurrence of events in a different place and time to predict similar trajectories of events. We define Loosely Decoupled Timeseries (LDT) phenomena as two or more events that could happen in different places and across different timelines but share similarities in the nature of the event and the ... |
1812.01077 | Carlos Sarraute | Carlos Sarraute, Martin Minnoni | Brief survey of Mobility Analyses based on Mobile Phone Datasets | Workshop on Urban Computing and Society. Petropolis, RJ, Brazil. Nov
28, 2018 | null | null | null | cs.SI cs.CY cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This is a brief survey of the research performed by Grandata Labs in
collaboration with numerous academic groups around the world on the topic of
human mobility. A driving theme in these projects is to use and improve Data
Science techniques to understand mobility, as it can be observed through the
lens of mobile pho... | [
{
"created": "Mon, 3 Dec 2018 20:46:27 GMT",
"version": "v1"
}
] | 2020-02-27 | [
[
"Sarraute",
"Carlos",
""
],
[
"Minnoni",
"Martin",
""
]
] | This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility. A driving theme in these projects is to use and improve Data Science techniques to understand mobility, as it can be observed through the lens of mobile phone... |
2110.14890 | Hongyu Ren | Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure
Leskovec, Dale Schuurmans | SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive
Knowledge Graphs | null | null | null | null | cs.LG cs.AI cs.DB cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge graphs (KGs) capture knowledge in the form of head--relation--tail
triples and are a crucial component in many AI systems. There are two important
reasoning tasks on KGs: (1) single-hop knowledge graph completion, which
involves predicting individual links in the KG; and (2), multi-hop reasoning,
where the ... | [
{
"created": "Thu, 28 Oct 2021 05:02:33 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Nov 2021 22:50:51 GMT",
"version": "v2"
}
] | 2021-11-03 | [
[
"Ren",
"Hongyu",
""
],
[
"Dai",
"Hanjun",
""
],
[
"Dai",
"Bo",
""
],
[
"Chen",
"Xinyun",
""
],
[
"Zhou",
"Denny",
""
],
[
"Leskovec",
"Jure",
""
],
[
"Schuurmans",
"Dale",
""
]
] | Knowledge graphs (KGs) capture knowledge in the form of head--relation--tail triples and are a crucial component in many AI systems. There are two important reasoning tasks on KGs: (1) single-hop knowledge graph completion, which involves predicting individual links in the KG; and (2), multi-hop reasoning, where the go... |
2012.10431 | Elias Gr\"unewald | Elias Gr\"unewald and Frank Pallas | TILT: A GDPR-Aligned Transparency Information Language and Toolkit for
Practical Privacy Engineering | Accepted for publication at the ACM Conference on Fairness,
Accountability, and Transparency 2021 (ACM FAccT'21). This is a preprint
manuscript (authors' own version before final copy-editing) | null | 10.1145/3442188.3445925 | null | cs.CY cs.CR cs.FL cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present TILT, a transparency information language and
toolkit explicitly designed to represent and process transparency information
in line with the requirements of the GDPR and allowing for a more automated and
adaptive use of such information than established, legalese data protection
policies do.... | [
{
"created": "Fri, 18 Dec 2020 18:45:04 GMT",
"version": "v1"
}
] | 2022-09-26 | [
[
"Grünewald",
"Elias",
""
],
[
"Pallas",
"Frank",
""
]
] | In this paper, we present TILT, a transparency information language and toolkit explicitly designed to represent and process transparency information in line with the requirements of the GDPR and allowing for a more automated and adaptive use of such information than established, legalese data protection policies do. W... |
2406.05388 | Giuliano Cornacchia | Giuliano Cornacchia, Ludovico Lemma, Luca Pappalardo | Popularity-based Alternative Routing | null | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Alternative routing is crucial to minimize the environmental impact of urban
transportation while enhancing road network efficiency and reducing traffic
congestion. Existing methods neglect information about road popularity,
possibly leading to unintended consequences such as increasing emissions and
congestion. This... | [
{
"created": "Sat, 8 Jun 2024 07:45:56 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Cornacchia",
"Giuliano",
""
],
[
"Lemma",
"Ludovico",
""
],
[
"Pappalardo",
"Luca",
""
]
] | Alternative routing is crucial to minimize the environmental impact of urban transportation while enhancing road network efficiency and reducing traffic congestion. Existing methods neglect information about road popularity, possibly leading to unintended consequences such as increasing emissions and congestion. This p... |
2305.17764 | Yaron Shany | Amit Berman, Yaron Shany, and Itzhak Tamo | Efficient Algorithms for Constructing Minimum-Weight Codewords in Some
Extended Binary BCH Codes | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present $O(m^3)$ algorithms for specifying the support of minimum-weight
words of extended binary BCH codes of length $n=2^m$ and designed distance
$d(m,s,i):=2^{m-1-s}-2^{m-1-i-s}$ for some values of $m,i,s$, where $m$ may
grow to infinity. The support is specified as the sum of two sets: a set of
$2^{2i-1}-2^{i-... | [
{
"created": "Sun, 28 May 2023 16:22:58 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Berman",
"Amit",
""
],
[
"Shany",
"Yaron",
""
],
[
"Tamo",
"Itzhak",
""
]
] | We present $O(m^3)$ algorithms for specifying the support of minimum-weight words of extended binary BCH codes of length $n=2^m$ and designed distance $d(m,s,i):=2^{m-1-s}-2^{m-1-i-s}$ for some values of $m,i,s$, where $m$ may grow to infinity. The support is specified as the sum of two sets: a set of $2^{2i-1}-2^{i-1}... |
2106.11021 | Marc Canellas | Marc Canellas | Defending IEEE Software Standards in Federal Criminal Court | 13 pages, 0 figures, 1 table | Computer, vol. 54, no. 6, pp. 14--23, Jun. 2021 | 10.1109/MC.2020.3038630 | null | cs.CY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | IEEE's 1012 Standard for independent software and hardware verification and
validation (IV&V) is under attack in U.S. federal criminal court. As software
spreads through the criminal legal system, scientists, engineers, and IEEE have
an essential role in ensuring courts understand and respect IEEE 1012 and IV&V.
If s... | [
{
"created": "Thu, 10 Jun 2021 02:40:01 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Canellas",
"Marc",
""
]
] | IEEE's 1012 Standard for independent software and hardware verification and validation (IV&V) is under attack in U.S. federal criminal court. As software spreads through the criminal legal system, scientists, engineers, and IEEE have an essential role in ensuring courts understand and respect IEEE 1012 and IV&V. If sci... |
1905.04660 | Prasad Raghavendra | Prasad Raghavendra and Morris Yau | List Decodable Learning via Sum of Squares | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the list-decodable learning setup, an overwhelming majority (say a
$1-\beta$-fraction) of the input data consists of outliers and the goal of an
algorithm is to output a small list $\mathcal{L}$ of hypotheses such that one
of them agrees with inliers. We develop a framework for list-decodable learning
via the Sum-... | [
{
"created": "Sun, 12 May 2019 07:27:53 GMT",
"version": "v1"
}
] | 2019-05-14 | [
[
"Raghavendra",
"Prasad",
""
],
[
"Yau",
"Morris",
""
]
] | In the list-decodable learning setup, an overwhelming majority (say a $1-\beta$-fraction) of the input data consists of outliers and the goal of an algorithm is to output a small list $\mathcal{L}$ of hypotheses such that one of them agrees with inliers. We develop a framework for list-decodable learning via the Sum-of... |
2210.11471 | Hadas Orgad | Hadas Orgad and Yonatan Belinkov | Choose Your Lenses: Flaws in Gender Bias Evaluation | Accepted to the 4th Workshop on Gender Bias in Natural Language
Processing | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Considerable efforts to measure and mitigate gender bias in recent years have
led to the introduction of an abundance of tasks, datasets, and metrics used in
this vein. In this position paper, we assess the current paradigm of gender
bias evaluation and identify several flaws in it. First, we highlight the
importance... | [
{
"created": "Thu, 20 Oct 2022 17:59:55 GMT",
"version": "v1"
}
] | 2022-10-21 | [
[
"Orgad",
"Hadas",
""
],
[
"Belinkov",
"Yonatan",
""
]
] | Considerable efforts to measure and mitigate gender bias in recent years have led to the introduction of an abundance of tasks, datasets, and metrics used in this vein. In this position paper, we assess the current paradigm of gender bias evaluation and identify several flaws in it. First, we highlight the importance o... |
1802.09292 | Krishna Murthy Jatavallabhula | Parv Parkhiya, Rishabh Khawad, J. Krishna Murthy, Brojeshwar Bhowmick,
K. Madhava Krishna | Constructing Category-Specific Models for Monocular Object-SLAM | Accepted to ICRA 2018 | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new paradigm for real-time object-oriented SLAM with a monocular
camera. Contrary to previous approaches, that rely on object-level models, we
construct category-level models from CAD collections which are now widely
available. To alleviate the need for huge amounts of labeled data, we develop a
renderin... | [
{
"created": "Mon, 26 Feb 2018 13:42:40 GMT",
"version": "v1"
}
] | 2018-02-27 | [
[
"Parkhiya",
"Parv",
""
],
[
"Khawad",
"Rishabh",
""
],
[
"Murthy",
"J. Krishna",
""
],
[
"Bhowmick",
"Brojeshwar",
""
],
[
"Krishna",
"K. Madhava",
""
]
] | We present a new paradigm for real-time object-oriented SLAM with a monocular camera. Contrary to previous approaches, that rely on object-level models, we construct category-level models from CAD collections which are now widely available. To alleviate the need for huge amounts of labeled data, we develop a rendering ... |
2103.09764 | Yanlun Tu | Yanlun Tu, Houchao Lei, Wei Long, Yang Yang | HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for
Microscopy Image Classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-instance learning is common for computer vision tasks, especially in
biomedical image processing. Traditional methods for multi-instance learning
focus on designing feature aggregation methods and multi-instance classifiers,
where the aggregation operation is performed either in feature extraction or
learning p... | [
{
"created": "Wed, 17 Mar 2021 16:34:08 GMT",
"version": "v1"
}
] | 2021-03-18 | [
[
"Tu",
"Yanlun",
""
],
[
"Lei",
"Houchao",
""
],
[
"Long",
"Wei",
""
],
[
"Yang",
"Yang",
""
]
] | Multi-instance learning is common for computer vision tasks, especially in biomedical image processing. Traditional methods for multi-instance learning focus on designing feature aggregation methods and multi-instance classifiers, where the aggregation operation is performed either in feature extraction or learning pha... |
1808.06893 | Desislava Dimitrova | Desislava Dimitrova, John Liagouris, Sebastian Wicki, Moritz Hoffmann,
Vasiliki Kalavri, Timothy Roscoe | DeltaPath: dataflow-based high-performance incremental routing | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Routing controllers must react quickly to failures, reconfigurations and
workload or policy changes, to ensure service performance and cost-efficient
network operation. We propose a general execution model which views routing as
an incremental data-parallel computation on a graph-based network model plus a
continuous... | [
{
"created": "Tue, 21 Aug 2018 13:39:48 GMT",
"version": "v1"
}
] | 2018-08-22 | [
[
"Dimitrova",
"Desislava",
""
],
[
"Liagouris",
"John",
""
],
[
"Wicki",
"Sebastian",
""
],
[
"Hoffmann",
"Moritz",
""
],
[
"Kalavri",
"Vasiliki",
""
],
[
"Roscoe",
"Timothy",
""
]
] | Routing controllers must react quickly to failures, reconfigurations and workload or policy changes, to ensure service performance and cost-efficient network operation. We propose a general execution model which views routing as an incremental data-parallel computation on a graph-based network model plus a continuous s... |
1406.1774 | Toufiq Parag | Toufiq Parag, Stephen Plaza, Louis Scheffer (Janelia Farm Research
Campus- HHMI) | Small Sample Learning of Superpixel Classifiers for EM Segmentation-
Extended Version | Accepted for MICCAI 2014 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pixel and superpixel classifiers have become essential tools for EM
segmentation algorithms. Training these classifiers remains a major bottleneck
primarily due to the requirement of completely annotating the dataset which is
tedious, error-prone and costly. In this paper, we propose an interactive
learning scheme fo... | [
{
"created": "Fri, 6 Jun 2014 18:59:58 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Jun 2014 22:05:57 GMT",
"version": "v2"
}
] | 2014-06-17 | [
[
"Parag",
"Toufiq",
"",
"Janelia Farm Research\n Campus- HHMI"
],
[
"Plaza",
"Stephen",
"",
"Janelia Farm Research\n Campus- HHMI"
],
[
"Scheffer",
"Louis",
"",
"Janelia Farm Research\n Campus- HHMI"
]
] | Pixel and superpixel classifiers have become essential tools for EM segmentation algorithms. Training these classifiers remains a major bottleneck primarily due to the requirement of completely annotating the dataset which is tedious, error-prone and costly. In this paper, we propose an interactive learning scheme for ... |
1611.09906 | Saverio Perugini | Brandon M. Williams and Saverio Perugini | Revisiting the Futamura Projections: A Diagrammatic Approach | 20 pages, 11 figures, 3 tables; pre-print of published version in
Theoretical and Applied Informatics | B.M. Williams & Perugini, S. (2016) Revisiting the Futamura
Projections: A diagrammatic approach. Theoretical and Applied Informatics,
28(4), 15-32 | 10.20904/284015 | null | cs.PL cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advent of language implementation tools such as PyPy and Truffle/Graal
have reinvigorated and broadened interest in topics related to automatic
compiler generation and optimization. Given this broader interest, we revisit
the Futamura Projections using a novel diagram scheme. Through these diagrams
we emphasize t... | [
{
"created": "Tue, 29 Nov 2016 21:56:34 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Mar 2017 00:00:13 GMT",
"version": "v2"
},
{
"created": "Tue, 20 Mar 2018 22:38:16 GMT",
"version": "v3"
}
] | 2018-03-22 | [
[
"Williams",
"Brandon M.",
""
],
[
"Perugini",
"Saverio",
""
]
] | The advent of language implementation tools such as PyPy and Truffle/Graal have reinvigorated and broadened interest in topics related to automatic compiler generation and optimization. Given this broader interest, we revisit the Futamura Projections using a novel diagram scheme. Through these diagrams we emphasize the... |
2209.07706 | Junliang Luo | Junliang Luo, Yongzheng Jia, Xue Liu | Understanding NFT Price Moves through Tweets Keywords Analysis | null | null | 10.1145/3582515.3609562 | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-Fungible Token (NFT) is evolving with the rise of the cryptocurrency
market and the development of blockchain techniques, which leads to an emerging
NFT market that has become prosperous rapidly then followed by a cooldown.
Nevertheless, the overall rise procedure of the NFT market has not been well
understood. T... | [
{
"created": "Fri, 16 Sep 2022 04:05:47 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Feb 2023 04:53:46 GMT",
"version": "v2"
},
{
"created": "Fri, 3 Mar 2023 18:15:12 GMT",
"version": "v3"
}
] | 2023-09-21 | [
[
"Luo",
"Junliang",
""
],
[
"Jia",
"Yongzheng",
""
],
[
"Liu",
"Xue",
""
]
] | Non-Fungible Token (NFT) is evolving with the rise of the cryptocurrency market and the development of blockchain techniques, which leads to an emerging NFT market that has become prosperous rapidly then followed by a cooldown. Nevertheless, the overall rise procedure of the NFT market has not been well understood. To ... |
2305.01578 | Arsenii Gorin | Arsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha
Latremouille, Charles Onu | Self-supervised learning for infant cry analysis | Accepted to IEEE ICASSP 2023 workshop Self-supervision in Audio,
Speech and Beyond | null | null | null | cs.SD cs.AI cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we explore self-supervised learning (SSL) for analyzing a
first-of-its-kind database of cry recordings containing clinical indications of
more than a thousand newborns. Specifically, we target cry-based detection of
neurological injury as well as identification of cry triggers such as pain,
hunger, and... | [
{
"created": "Tue, 2 May 2023 16:27:18 GMT",
"version": "v1"
}
] | 2023-05-03 | [
[
"Gorin",
"Arsenii",
""
],
[
"Subakan",
"Cem",
""
],
[
"Abdoli",
"Sajjad",
""
],
[
"Wang",
"Junhao",
""
],
[
"Latremouille",
"Samantha",
""
],
[
"Onu",
"Charles",
""
]
] | In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newborns. Specifically, we target cry-based detection of neurological injury as well as identification of cry triggers such as pain, hunger, and d... |
2305.03112 | Lechao Cheng | Jingxuan He, Lechao Cheng, Chaowei Fang, Dingwen Zhang, Zhangye Wang,
Wei Chen | Mitigating Undisciplined Over-Smoothing in Transformer for Weakly
Supervised Semantic Segmentation | 10 pages, 10 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | A surge of interest has emerged in weakly supervised semantic segmentation
due to its remarkable efficiency in recent years. Existing approaches based on
transformers mainly focus on exploring the affinity matrix to boost CAMs with
global relationships. While in this work, we first perform a scrupulous
examination to... | [
{
"created": "Thu, 4 May 2023 19:11:33 GMT",
"version": "v1"
}
] | 2023-05-08 | [
[
"He",
"Jingxuan",
""
],
[
"Cheng",
"Lechao",
""
],
[
"Fang",
"Chaowei",
""
],
[
"Zhang",
"Dingwen",
""
],
[
"Wang",
"Zhangye",
""
],
[
"Chen",
"Wei",
""
]
] | A surge of interest has emerged in weakly supervised semantic segmentation due to its remarkable efficiency in recent years. Existing approaches based on transformers mainly focus on exploring the affinity matrix to boost CAMs with global relationships. While in this work, we first perform a scrupulous examination towa... |
2212.04025 | Charline Le Lan | Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland,
Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare | A Novel Stochastic Gradient Descent Algorithm for Learning Principal
Subspaces | 8 pages in main content, 2 pages of bibliography and 5 pages in
Appendix | null | null | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by/4.0/ | Many machine learning problems encode their data as a matrix with a possibly
very large number of rows and columns. In several applications like
neuroscience, image compression or deep reinforcement learning, the principal
subspace of such a matrix provides a useful, low-dimensional representation of
individual data.... | [
{
"created": "Thu, 8 Dec 2022 01:26:47 GMT",
"version": "v1"
}
] | 2022-12-09 | [
[
"Lan",
"Charline Le",
""
],
[
"Greaves",
"Joshua",
""
],
[
"Farebrother",
"Jesse",
""
],
[
"Rowland",
"Mark",
""
],
[
"Pedregosa",
"Fabian",
""
],
[
"Agarwal",
"Rishabh",
""
],
[
"Bellemare",
"Marc G.",
""
... | Many machine learning problems encode their data as a matrix with a possibly very large number of rows and columns. In several applications like neuroscience, image compression or deep reinforcement learning, the principal subspace of such a matrix provides a useful, low-dimensional representation of individual data. H... |
2210.17490 | Artyom Grigoryan | Artyom M. Grigoryan, Sos S. Agaian, Karen Panetta | Quantum-Inspired Edge Detection Algorithms Implementation using New
Dynamic Visual Data Representation and Short-Length Convolution Computation | 11 pages, 11 figures | null | null | null | cs.CV math.QA | http://creativecommons.org/licenses/by/4.0/ | As the availability of imagery data continues to swell, so do the demands on
transmission, storage and processing power. Processing requirements to handle
this plethora of data is quickly outpacing the utility of conventional
processing techniques. Transitioning to quantum processing and algorithms that
offer promisi... | [
{
"created": "Mon, 31 Oct 2022 17:13:27 GMT",
"version": "v1"
}
] | 2022-11-01 | [
[
"Grigoryan",
"Artyom M.",
""
],
[
"Agaian",
"Sos S.",
""
],
[
"Panetta",
"Karen",
""
]
] | As the availability of imagery data continues to swell, so do the demands on transmission, storage and processing power. Processing requirements to handle this plethora of data is quickly outpacing the utility of conventional processing techniques. Transitioning to quantum processing and algorithms that offer promising... |
1809.01872 | Ikram Boukhedimi | Ikram Boukhedimi, Abla Kammoun, Mohamed-Slim Alouini | LMMSE Receivers in Uplink Massive MIMO Systems with Correlated Rician
Fading | 32 pages, 8 figures, accepted to be published in IEEE Transactions on
Communications | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We carry out a theoretical analysis of the uplink (UL) of a massive MIMO
system with per-user channel correlation and Rician fading, using two
processing approaches. Firstly, we examine the linear minimum-mean-square-error
receiver under training-based imperfect channel estimates. Secondly, we propose
a statistical c... | [
{
"created": "Thu, 6 Sep 2018 08:19:51 GMT",
"version": "v1"
}
] | 2018-09-07 | [
[
"Boukhedimi",
"Ikram",
""
],
[
"Kammoun",
"Abla",
""
],
[
"Alouini",
"Mohamed-Slim",
""
]
] | We carry out a theoretical analysis of the uplink (UL) of a massive MIMO system with per-user channel correlation and Rician fading, using two processing approaches. Firstly, we examine the linear minimum-mean-square-error receiver under training-based imperfect channel estimates. Secondly, we propose a statistical com... |
1804.04868 | Andr\'e Calero Valdez | Andr\'e Calero Valdez, Martina Ziefle | The Users' Perspective on the Privacy-Utility Trade-offs in Health
Recommender Systems | 32 pages, 12 figures | null | 10.1016/j.ijhcs.2018.04.003 | null | cs.CY cs.CR cs.HC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Privacy is a major good for users of personalized services such as
recommender systems. When applied to the field of health informatics, privacy
concerns of users may be amplified, but the possible utility of such services
is also high. Despite availability of technologies such as k-anonymity,
differential privacy, p... | [
{
"created": "Fri, 13 Apr 2018 10:03:09 GMT",
"version": "v1"
}
] | 2024-06-14 | [
[
"Valdez",
"André Calero",
""
],
[
"Ziefle",
"Martina",
""
]
] | Privacy is a major good for users of personalized services such as recommender systems. When applied to the field of health informatics, privacy concerns of users may be amplified, but the possible utility of such services is also high. Despite availability of technologies such as k-anonymity, differential privacy, pri... |
1903.00041 | George Foster | Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun | Reinforcement Learning based Curriculum Optimization for Neural Machine
Translation | NAACL 2019 short paper. Reviewer comments not yet addressed | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We consider the problem of making efficient use of heterogeneous training
data in neural machine translation (NMT). Specifically, given a training
dataset with a sentence-level feature such as noise, we seek an optimal
curriculum, or order for presenting examples to the system during training. Our
curriculum framewor... | [
{
"created": "Thu, 28 Feb 2019 19:35:09 GMT",
"version": "v1"
}
] | 2019-03-04 | [
[
"Kumar",
"Gaurav",
""
],
[
"Foster",
"George",
""
],
[
"Cherry",
"Colin",
""
],
[
"Krikun",
"Maxim",
""
]
] | We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT). Specifically, given a training dataset with a sentence-level feature such as noise, we seek an optimal curriculum, or order for presenting examples to the system during training. Our curriculum framework ... |
1602.05908 | Rong Ge | Anima Anandkumar, Rong Ge | Efficient approaches for escaping higher order saddle points in
non-convex optimization | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Local search heuristics for non-convex optimizations are popular in applied
machine learning. However, in general it is hard to guarantee that such
algorithms even converge to a local minimum, due to the existence of
complicated saddle point structures in high dimensions. Many functions have
degenerate saddle points ... | [
{
"created": "Thu, 18 Feb 2016 18:52:15 GMT",
"version": "v1"
}
] | 2016-02-19 | [
[
"Anandkumar",
"Anima",
""
],
[
"Ge",
"Rong",
""
]
] | Local search heuristics for non-convex optimizations are popular in applied machine learning. However, in general it is hard to guarantee that such algorithms even converge to a local minimum, due to the existence of complicated saddle point structures in high dimensions. Many functions have degenerate saddle points su... |
2004.06660 | Paul Michel | Keita Kurita, Paul Michel, Graham Neubig | Weight Poisoning Attacks on Pre-trained Models | Published as a long paper at ACL 2020 | null | null | null | cs.LG cs.CL cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, NLP has seen a surge in the usage of large pre-trained models.
Users download weights of models pre-trained on large datasets, then fine-tune
the weights on a task of their choice. This raises the question of whether
downloading untrusted pre-trained weights can pose a security threat. In this
paper, we sho... | [
{
"created": "Tue, 14 Apr 2020 16:51:42 GMT",
"version": "v1"
}
] | 2020-04-15 | [
[
"Kurita",
"Keita",
""
],
[
"Michel",
"Paul",
""
],
[
"Neubig",
"Graham",
""
]
] | Recently, NLP has seen a surge in the usage of large pre-trained models. Users download weights of models pre-trained on large datasets, then fine-tune the weights on a task of their choice. This raises the question of whether downloading untrusted pre-trained weights can pose a security threat. In this paper, we show ... |
2312.08962 | Zhiyuan You | Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao
Dong | Depicting Beyond Scores: Advancing Image Quality Assessment through
Multi-modal Language Models | Accepted to ECCV2024, Camera Ready Version | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a Depicted image Quality Assessment method (DepictQA),
overcoming the constraints of traditional score-based methods. DepictQA allows
for detailed, language-based, human-like evaluation of image quality by
leveraging Multi-modal Large Language Models (MLLMs). Unlike conventional Image
Quality Assessment ... | [
{
"created": "Thu, 14 Dec 2023 14:10:02 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Mar 2024 09:18:17 GMT",
"version": "v2"
},
{
"created": "Sun, 14 Jul 2024 12:33:05 GMT",
"version": "v3"
}
] | 2024-07-16 | [
[
"You",
"Zhiyuan",
""
],
[
"Li",
"Zheyuan",
""
],
[
"Gu",
"Jinjin",
""
],
[
"Yin",
"Zhenfei",
""
],
[
"Xue",
"Tianfan",
""
],
[
"Dong",
"Chao",
""
]
] | We introduce a Depicted image Quality Assessment method (DepictQA), overcoming the constraints of traditional score-based methods. DepictQA allows for detailed, language-based, human-like evaluation of image quality by leveraging Multi-modal Large Language Models (MLLMs). Unlike conventional Image Quality Assessment (I... |
1307.1872 | Ibrahim Sabek | Ibrahim Sabek, Noha A. Yousri, Nagwa Elmakky and Mona Habib | Intelligent Hybrid Man-Machine Translation Quality Estimation | 8 pages, 3 figures, 5 tables | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inferring evaluation scores based on human judgments is invaluable compared
to using current evaluation metrics which are not suitable for real-time
applications e.g. post-editing. However, these judgments are much more
expensive to collect especially from expert translators, compared to evaluation
based on indicator... | [
{
"created": "Sun, 7 Jul 2013 15:04:11 GMT",
"version": "v1"
}
] | 2013-07-09 | [
[
"Sabek",
"Ibrahim",
""
],
[
"Yousri",
"Noha A.",
""
],
[
"Elmakky",
"Nagwa",
""
],
[
"Habib",
"Mona",
""
]
] | Inferring evaluation scores based on human judgments is invaluable compared to using current evaluation metrics which are not suitable for real-time applications e.g. post-editing. However, these judgments are much more expensive to collect especially from expert translators, compared to evaluation based on indicators ... |
1902.06085 | Meiyu Li | Meiyu Li, Hailiang Tang, Michael D. Chan, Xiaobo Zhou, and Xiaohua
Qian | DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma
Multiform Image Classification Based on DCGAN and AlexNet | null | null | 10.1002/mp.14003 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma
multiforme (GBM) after receiving the standard treatment. In the course of
post-treatment magnetic resonance imaging (MRI), PsP exhibits similarities in
shape and intensity to the true tumor progression (TTP) of GBM. So, these
similarities pose cha... | [
{
"created": "Sat, 16 Feb 2019 10:43:33 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Feb 2019 13:54:13 GMT",
"version": "v2"
},
{
"created": "Wed, 15 May 2019 05:54:26 GMT",
"version": "v3"
},
{
"created": "Sat, 18 May 2019 05:48:12 GMT",
"version": "v4"
}
] | 2020-07-01 | [
[
"Li",
"Meiyu",
""
],
[
"Tang",
"Hailiang",
""
],
[
"Chan",
"Michael D.",
""
],
[
"Zhou",
"Xiaobo",
""
],
[
"Qian",
"Xiaohua",
""
]
] | Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance imaging (MRI), PsP exhibits similarities in shape and intensity to the true tumor progression (TTP) of GBM. So, these similarities pose chall... |
2403.16246 | Subhodip Panda | Subhodip Panda and Shashwat Sourav and Prathosh A.P | Partially Blinded Unlearning: Class Unlearning for Deep Networks a
Bayesian Perspective | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | In order to adhere to regulatory standards governing individual data privacy
and safety, machine learning models must systematically eliminate information
derived from specific subsets of a user's training data that can no longer be
utilized. The emerging discipline of Machine Unlearning has arisen as a pivotal
area ... | [
{
"created": "Sun, 24 Mar 2024 17:33:22 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Panda",
"Subhodip",
""
],
[
"Sourav",
"Shashwat",
""
],
[
"P",
"Prathosh A.",
""
]
] | In order to adhere to regulatory standards governing individual data privacy and safety, machine learning models must systematically eliminate information derived from specific subsets of a user's training data that can no longer be utilized. The emerging discipline of Machine Unlearning has arisen as a pivotal area of... |
2102.09978 | Zining Zhang | Zining Zhang, Bingsheng He, Zhenjie Zhang | TransMask: A Compact and Fast Speech Separation Model Based on
Transformer | Accepted in ICASSP2021 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Speech separation is an important problem in speech processing, which targets
to separate and generate clean speech from a mixed audio containing speech from
different speakers. Empowered by the deep learning technologies over
sequence-to-sequence domain, recent neural speech separation models are now
capable of gene... | [
{
"created": "Fri, 19 Feb 2021 15:19:24 GMT",
"version": "v1"
}
] | 2021-02-22 | [
[
"Zhang",
"Zining",
""
],
[
"He",
"Bingsheng",
""
],
[
"Zhang",
"Zhenjie",
""
]
] | Speech separation is an important problem in speech processing, which targets to separate and generate clean speech from a mixed audio containing speech from different speakers. Empowered by the deep learning technologies over sequence-to-sequence domain, recent neural speech separation models are now capable of genera... |
2007.03970 | Matthias Langer | Matthias Langer, Zhen He, Wenny Rahayu, and Yanbo Xue | Distributed Training of Deep Learning Models: A Taxonomic Perspective | null | IEEE Transactions on Parallel and Distributed Systems, 2020,
Volume: 31, Issue: 12, Pages: 2802-2818 | 10.1109/TPDS.2020.3003307 | null | cs.DC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed deep learning systems (DDLS) train deep neural network models by
utilizing the distributed resources of a cluster. Developers of DDLS are
required to make many decisions to process their particular workloads in their
chosen environment efficiently. The advent of GPU-based deep learning, the
ever-increasin... | [
{
"created": "Wed, 8 Jul 2020 08:56:58 GMT",
"version": "v1"
}
] | 2020-07-09 | [
[
"Langer",
"Matthias",
""
],
[
"He",
"Zhen",
""
],
[
"Rahayu",
"Wenny",
""
],
[
"Xue",
"Yanbo",
""
]
] | Distributed deep learning systems (DDLS) train deep neural network models by utilizing the distributed resources of a cluster. Developers of DDLS are required to make many decisions to process their particular workloads in their chosen environment efficiently. The advent of GPU-based deep learning, the ever-increasing ... |
2105.14127 | Michael Gimelfarb Mr. | Michael Gimelfarb, Andr\'e Barreto, Scott Sanner, Chi-Guhn Lee | Risk-Aware Transfer in Reinforcement Learning using Successor Features | null | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sample efficiency and risk-awareness are central to the development of
practical reinforcement learning (RL) for complex decision-making. The former
can be addressed by transfer learning and the latter by optimizing some utility
function of the return. However, the problem of transferring skills in a
risk-aware manne... | [
{
"created": "Fri, 28 May 2021 22:22:03 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Gimelfarb",
"Michael",
""
],
[
"Barreto",
"André",
""
],
[
"Sanner",
"Scott",
""
],
[
"Lee",
"Chi-Guhn",
""
]
] | Sample efficiency and risk-awareness are central to the development of practical reinforcement learning (RL) for complex decision-making. The former can be addressed by transfer learning and the latter by optimizing some utility function of the return. However, the problem of transferring skills in a risk-aware manner ... |
1907.02964 | Carlos Brys Mg. | Carlos Roberto Brys, Jos\'e F. Aldana-Montes, David Luis La Red
Mart\'inez | Un Modelo Ontol\'ogico para el Gobierno Electr\'onico | 10 pages, in Spanish | null | null | null | cs.DL cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Decision making often requires information that must be Provided with the
rich data format. Addressing these new requirements appropriately makes it
necessary for government agencies to orchestrate large amounts of information
from different sources and formats, to be efficiently delivered through the
devices commonl... | [
{
"created": "Thu, 4 Jul 2019 21:42:26 GMT",
"version": "v1"
}
] | 2019-07-09 | [
[
"Brys",
"Carlos Roberto",
""
],
[
"Aldana-Montes",
"José F.",
""
],
[
"Martínez",
"David Luis La Red",
""
]
] | Decision making often requires information that must be Provided with the rich data format. Addressing these new requirements appropriately makes it necessary for government agencies to orchestrate large amounts of information from different sources and formats, to be efficiently delivered through the devices commonly ... |
2209.12648 | Aykut Isleyen | Aykut \.I\c{s}leyen and Nathan van de Wouw and \"Om\"ur Arslan | Feedback Motion Prediction for Safe Unicycle Robot Navigation | 11 pages, 5 figures, extended version of a paper submitted to a
conference publication | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a simple and robust mobile robot base, differential drive robots that can
be modelled as a kinematic unicycle find significant applications in logistics
and service robotics in both industrial and domestic settings. Safe robot
navigation around obstacles is an essential skill for such unicycle robots to
perform di... | [
{
"created": "Mon, 26 Sep 2022 12:52:48 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Apr 2023 21:14:25 GMT",
"version": "v2"
},
{
"created": "Mon, 31 Jul 2023 16:09:21 GMT",
"version": "v3"
}
] | 2023-08-01 | [
[
"İşleyen",
"Aykut",
""
],
[
"van de Wouw",
"Nathan",
""
],
[
"Arslan",
"Ömür",
""
]
] | As a simple and robust mobile robot base, differential drive robots that can be modelled as a kinematic unicycle find significant applications in logistics and service robotics in both industrial and domestic settings. Safe robot navigation around obstacles is an essential skill for such unicycle robots to perform dive... |
2306.05696 | Jielin Qiu | Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao | Embodied Executable Policy Learning with Language-based Scene
Summarization | 15 pages. arXiv admin note: text overlap with arXiv:2107.06912 by
other authors | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language models (LLMs) have shown remarkable success in assisting robot
learning tasks, i.e., complex household planning. However, the performance of
pretrained LLMs heavily relies on domain-specific templated text data, which
may be infeasible in real-world robot learning tasks with image-based
observations. M... | [
{
"created": "Fri, 9 Jun 2023 06:34:09 GMT",
"version": "v1"
}
] | 2023-06-12 | [
[
"Qiu",
"Jielin",
""
],
[
"Xu",
"Mengdi",
""
],
[
"Han",
"William",
""
],
[
"Moon",
"Seungwhan",
""
],
[
"Zhao",
"Ding",
""
]
] | Large Language models (LLMs) have shown remarkable success in assisting robot learning tasks, i.e., complex household planning. However, the performance of pretrained LLMs heavily relies on domain-specific templated text data, which may be infeasible in real-world robot learning tasks with image-based observations. Mor... |
2101.10417 | Dragi Kimovski | Dragi Kimovski, Roland Math\'a, Josef Hammer, Narges Mehran, Hermann
Hellwagner and Radu Prodan | Cloud, Fog or Edge: Where to Compute? | null | IEEE Internet Computing 2021 | 10.1109/MIC.2021.3050613 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The computing continuum extends the high-performance cloud data centers with
energy-efficient and low-latency devices close to the data sources located at
the edge of the network. However, the heterogeneity of the computing continuum
raises multiple challenges related to application management. These include
where to... | [
{
"created": "Mon, 25 Jan 2021 21:05:00 GMT",
"version": "v1"
}
] | 2021-01-28 | [
[
"Kimovski",
"Dragi",
""
],
[
"Mathá",
"Roland",
""
],
[
"Hammer",
"Josef",
""
],
[
"Mehran",
"Narges",
""
],
[
"Hellwagner",
"Hermann",
""
],
[
"Prodan",
"Radu",
""
]
] | The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network. However, the heterogeneity of the computing continuum raises multiple challenges related to application management. These include where to o... |
2312.08274 | Songchi Zhou | Songchi Zhou, Sheng Yu | High-throughput Biomedical Relation Extraction for Semi-Structured Web
Articles Empowered by Large Language Models | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Objective: To develop a high-throughput biomedical relation extraction system
that takes advantage of the large language models'(LLMs) reading comprehension
ability and biomedical world knowledge in a scalable and evidential manner.
Methods: We formulate the relation extraction task as binary classifications
for larg... | [
{
"created": "Wed, 13 Dec 2023 16:43:41 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Dec 2023 07:28:03 GMT",
"version": "v2"
},
{
"created": "Fri, 15 Dec 2023 07:25:34 GMT",
"version": "v3"
},
{
"created": "Tue, 26 Mar 2024 10:36:31 GMT",
"version": "v4"
}
] | 2024-03-27 | [
[
"Zhou",
"Songchi",
""
],
[
"Yu",
"Sheng",
""
]
] | Objective: To develop a high-throughput biomedical relation extraction system that takes advantage of the large language models'(LLMs) reading comprehension ability and biomedical world knowledge in a scalable and evidential manner. Methods: We formulate the relation extraction task as binary classifications for large ... |
1712.10136 | Koustav Mullick Mr. | Koustav Mullick and Anoop M. Namboodiri | Learning Deep and Compact Models for Gesture Recognition | Accepted at 2017 IEEE International Conference on Image Processing
(ICIP 2017) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We look at the problem of developing a compact and accurate model for gesture
recognition from videos in a deep-learning framework. Towards this we propose a
joint 3DCNN-LSTM model that is end-to-end trainable and is shown to be better
suited to capture the dynamic information in actions. The solution achieves
close ... | [
{
"created": "Fri, 29 Dec 2017 07:38:43 GMT",
"version": "v1"
}
] | 2018-01-01 | [
[
"Mullick",
"Koustav",
""
],
[
"Namboodiri",
"Anoop M.",
""
]
] | We look at the problem of developing a compact and accurate model for gesture recognition from videos in a deep-learning framework. Towards this we propose a joint 3DCNN-LSTM model that is end-to-end trainable and is shown to be better suited to capture the dynamic information in actions. The solution achieves close to... |
2303.08717 | Sara Rojas | Sara Rojas, Jesus Zarzar, Juan Camilo Perez, Artsiom Sanakoyeu, Ali
Thabet, Albert Pumarola, and Bernard Ghanem | Re-ReND: Real-time Rendering of NeRFs across Devices | null | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel approach for rendering a pre-trained Neural
Radiance Field (NeRF) in real-time on resource-constrained devices. We
introduce Re-ReND, a method enabling Real-time Rendering of NeRFs across
Devices. Re-ReND is designed to achieve real-time performance by converting the
NeRF into a representa... | [
{
"created": "Wed, 15 Mar 2023 15:59:41 GMT",
"version": "v1"
}
] | 2023-03-16 | [
[
"Rojas",
"Sara",
""
],
[
"Zarzar",
"Jesus",
""
],
[
"Perez",
"Juan Camilo",
""
],
[
"Sanakoyeu",
"Artsiom",
""
],
[
"Thabet",
"Ali",
""
],
[
"Pumarola",
"Albert",
""
],
[
"Ghanem",
"Bernard",
""
]
] | This paper proposes a novel approach for rendering a pre-trained Neural Radiance Field (NeRF) in real-time on resource-constrained devices. We introduce Re-ReND, a method enabling Real-time Rendering of NeRFs across Devices. Re-ReND is designed to achieve real-time performance by converting the NeRF into a representati... |
2012.14230 | Bo Li | Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram,
Meike W. Vernooij, Esther E. Bron | Longitudinal diffusion MRI analysis using Segis-Net: a single-step
deep-learning framework for simultaneous segmentation and registration | To appear in NeuroImage | null | 10.1016/j.neuroimage.2021.118004 | null | cs.CV cs.AI eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This work presents a single-step deep-learning framework for longitudinal
image analysis, coined Segis-Net. To optimally exploit information available in
longitudinal data, this method concurrently learns a multi-class segmentation
and nonlinear registration. Segmentation and registration are modeled using a
convolut... | [
{
"created": "Mon, 28 Dec 2020 13:48:21 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Apr 2021 11:06:25 GMT",
"version": "v2"
}
] | 2021-04-26 | [
[
"Li",
"Bo",
""
],
[
"Niessen",
"Wiro J.",
""
],
[
"Klein",
"Stefan",
""
],
[
"de Groot",
"Marius",
""
],
[
"Ikram",
"M. Arfan",
""
],
[
"Vernooij",
"Meike W.",
""
],
[
"Bron",
"Esther E.",
""
]
] | This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear registration. Segmentation and registration are modeled using a convolutio... |
2104.05185 | Pengcheng Xia | Pengcheng Xia, Haoyu Wang, Zhou Yu, Xinyu Liu, Xiapu Luo, Guoai Xu | Ethereum Name Service: the Good, the Bad, and the Ugly | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | DNS has always been criticized for its inherent design flaws, making the
system vulnerable to kinds of attacks. Besides, DNS domain names are not fully
controlled by the users, which can be easily taken down by the authorities and
registrars. Since blockchain has its unique properties like immutability and
decentrali... | [
{
"created": "Mon, 12 Apr 2021 03:39:01 GMT",
"version": "v1"
}
] | 2021-04-13 | [
[
"Xia",
"Pengcheng",
""
],
[
"Wang",
"Haoyu",
""
],
[
"Yu",
"Zhou",
""
],
[
"Liu",
"Xinyu",
""
],
[
"Luo",
"Xiapu",
""
],
[
"Xu",
"Guoai",
""
]
] | DNS has always been criticized for its inherent design flaws, making the system vulnerable to kinds of attacks. Besides, DNS domain names are not fully controlled by the users, which can be easily taken down by the authorities and registrars. Since blockchain has its unique properties like immutability and decentraliza... |
2012.05457 | Guanya Shi | Guanya Shi, Wolfgang H\"onig, Xichen Shi, Yisong Yue, Soon-Jo Chung | Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms
using Learned Interactions | Accepted by IEEE Transactions on Robotics (T-RO), 2021. Video is
available at https://youtu.be/Y02juH6BDxo | null | null | null | cs.RO cs.AI cs.LG cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present Neural-Swarm2, a learning-based method for motion planning and
control that allows heterogeneous multirotors in a swarm to safely fly in close
proximity. Such operation for drones is challenging due to complex aerodynamic
interaction forces, such as downwash generated by nearby drones and ground
effect. Co... | [
{
"created": "Thu, 10 Dec 2020 05:08:31 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Jul 2021 01:24:46 GMT",
"version": "v2"
}
] | 2021-07-19 | [
[
"Shi",
"Guanya",
""
],
[
"Hönig",
"Wolfgang",
""
],
[
"Shi",
"Xichen",
""
],
[
"Yue",
"Yisong",
""
],
[
"Chung",
"Soon-Jo",
""
]
] | We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation for drones is challenging due to complex aerodynamic interaction forces, such as downwash generated by nearby drones and ground effect. Conv... |
2310.17743 | Yajing Luo | Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen | StyleBART: Decorate Pretrained Model with Style Adapters for
Unsupervised Stylistic Headline Generation | Findings of EMNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stylistic headline generation is the task to generate a headline that not
only summarizes the content of an article, but also reflects a desired style
that attracts users. As style-specific article-headline pairs are scarce,
previous researches focus on unsupervised approaches with a standard headline
generation data... | [
{
"created": "Thu, 26 Oct 2023 19:31:22 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Nov 2023 06:38:53 GMT",
"version": "v2"
}
] | 2023-11-14 | [
[
"Wang",
"Hanqing",
""
],
[
"Luo",
"Yajing",
""
],
[
"Xiong",
"Boya",
""
],
[
"Chen",
"Guanhua",
""
],
[
"Chen",
"Yun",
""
]
] | Stylistic headline generation is the task to generate a headline that not only summarizes the content of an article, but also reflects a desired style that attracts users. As style-specific article-headline pairs are scarce, previous researches focus on unsupervised approaches with a standard headline generation datase... |
1107.1206 | EPTCS | Mathieu Tracol (IST Austria), Jos\'ee Desharnais (Departement
d'informatique et de g\'enie logiciel, Universit\'e Laval, Qu\'ebec, Canada),
Abir Zhioua (Departement d'informatique et de g\'enie logiciel, Universit\'e
Laval, Qu\'ebec, Canada) | Computing Distances between Probabilistic Automata | In Proceedings QAPL 2011, arXiv:1107.0746 | EPTCS 57, 2011, pp. 148-162 | 10.4204/EPTCS.57.11 | null | cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present relaxed notions of simulation and bisimulation on Probabilistic
Automata (PA), that allow some error epsilon. When epsilon is zero we retrieve
the usual notions of bisimulation and simulation on PAs. We give logical
characterisations of these notions by choosing suitable logics which differ
from the elemen... | [
{
"created": "Wed, 6 Jul 2011 17:55:31 GMT",
"version": "v1"
}
] | 2011-07-07 | [
[
"Tracol",
"Mathieu",
"",
"IST Austria"
],
[
"Desharnais",
"Josée",
"",
"Departement\n d'informatique et de génie logiciel, Université Laval, Québec, Canada"
],
[
"Zhioua",
"Abir",
"",
"Departement d'informatique et de génie logiciel, Université\n Laval, Qu... | We present relaxed notions of simulation and bisimulation on Probabilistic Automata (PA), that allow some error epsilon. When epsilon is zero we retrieve the usual notions of bisimulation and simulation on PAs. We give logical characterisations of these notions by choosing suitable logics which differ from the elementa... |
2311.02311 | Terrance Yu-Hao Chen | Yi-Zih Chen, Terrance Yu-Hao Chen, Po-Jung Su, Chi-Ting Liu | A Brief Survey of Open Radio Access Network (O-RAN) Security | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Open Radio Access Network (O-RAN), a novel architecture that separates the
traditional radio access network (RAN) into multiple disaggregated components,
leads a revolution in the telecommunication ecosystems. Compared to the
traditional RAN, the proposed O-RAN paradigm is more flexible and more
cost-effective for th... | [
{
"created": "Sat, 4 Nov 2023 03:29:03 GMT",
"version": "v1"
}
] | 2023-11-07 | [
[
"Chen",
"Yi-Zih",
""
],
[
"Chen",
"Terrance Yu-Hao",
""
],
[
"Su",
"Po-Jung",
""
],
[
"Liu",
"Chi-Ting",
""
]
] | Open Radio Access Network (O-RAN), a novel architecture that separates the traditional radio access network (RAN) into multiple disaggregated components, leads a revolution in the telecommunication ecosystems. Compared to the traditional RAN, the proposed O-RAN paradigm is more flexible and more cost-effective for the ... |
1706.03675 | William Weir | William H. Weir, Scott Emmons, Ryan Gibson, Dane Taylor, Peter J.
Mucha | Post-processing partitions to identify domains of modularity
optimization | http://www.mdpi.com/1999-4893/10/3/93 | Algorithms 10, no. 3: 93 (2017) | 10.3390/a10030093 | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP)
algorithm to prune and prioritize different network community structures
identified across multiple runs of possibly various computational heuristics.
Given a set of partitions, CHAMP identifies the domain of modularity
optimization for each par... | [
{
"created": "Mon, 12 Jun 2017 14:57:25 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Jun 2017 11:51:25 GMT",
"version": "v2"
},
{
"created": "Thu, 27 Jul 2017 19:25:02 GMT",
"version": "v3"
},
{
"created": "Mon, 21 Aug 2017 12:03:30 GMT",
"version": "v4"
}
] | 2017-08-22 | [
[
"Weir",
"William H.",
""
],
[
"Emmons",
"Scott",
""
],
[
"Gibson",
"Ryan",
""
],
[
"Taylor",
"Dane",
""
],
[
"Mucha",
"Peter J.",
""
]
] | We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics. Given a set of partitions, CHAMP identifies the domain of modularity optimization for each parti... |
2402.12431 | Amelie W\"uhrl | Amelie W\"uhrl, Dustin Wright, Roman Klinger, Isabelle Augenstein | Understanding Fine-grained Distortions in Reports of Scientific Findings | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Distorted science communication harms individuals and society as it can lead
to unhealthy behavior change and decrease trust in scientific institutions.
Given the rapidly increasing volume of science communication in recent years, a
fine-grained understanding of how findings from scientific publications are
reported ... | [
{
"created": "Mon, 19 Feb 2024 19:00:01 GMT",
"version": "v1"
}
] | 2024-02-21 | [
[
"Wührl",
"Amelie",
""
],
[
"Wright",
"Dustin",
""
],
[
"Klinger",
"Roman",
""
],
[
"Augenstein",
"Isabelle",
""
]
] | Distorted science communication harms individuals and society as it can lead to unhealthy behavior change and decrease trust in scientific institutions. Given the rapidly increasing volume of science communication in recent years, a fine-grained understanding of how findings from scientific publications are reported to... |
2010.01051 | Sungbin Lim | Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim | Neural Bootstrapper | 19 pages, 13 figures. Accepted for NeurIPS 2021. Corresponding
Author: Sungbin Lim | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bootstrapping has been a primary tool for ensemble and uncertainty
quantification in machine learning and statistics. However, due to its nature
of multiple training and resampling, bootstrapping deep neural networks is
computationally burdensome; hence it has difficulties in practical application
to the uncertainty ... | [
{
"created": "Fri, 2 Oct 2020 15:30:04 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Mar 2021 02:37:47 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Oct 2021 07:11:08 GMT",
"version": "v3"
},
{
"created": "Mon, 13 Dec 2021 17:35:06 GMT",
"version": "v4"
}
] | 2021-12-14 | [
[
"Shin",
"Minsuk",
""
],
[
"Cho",
"Hyungjoo",
""
],
[
"Min",
"Hyun-seok",
""
],
[
"Lim",
"Sungbin",
""
]
] | Bootstrapping has been a primary tool for ensemble and uncertainty quantification in machine learning and statistics. However, due to its nature of multiple training and resampling, bootstrapping deep neural networks is computationally burdensome; hence it has difficulties in practical application to the uncertainty es... |
2005.11459 | Yuzhuo Liu | Yuzhuo Liu and Hangting Chen and Pengyuan Zhang | Power Pooling Operators and Confidence Learning for Semi-Supervised
Sound Event Detection | null | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, the involvement of synthetic strongly labeled data,weakly
labeled data and unlabeled data has drawn much research attentionin
semi-supervised sound event detection (SSED). Self-training models carry out
predictions without strong annotations and then take predictions with high
probabilities as pseudo... | [
{
"created": "Sat, 23 May 2020 04:02:21 GMT",
"version": "v1"
}
] | 2020-05-26 | [
[
"Liu",
"Yuzhuo",
""
],
[
"Chen",
"Hangting",
""
],
[
"Zhang",
"Pengyuan",
""
]
] | In recent years, the involvement of synthetic strongly labeled data,weakly labeled data and unlabeled data has drawn much research attentionin semi-supervised sound event detection (SSED). Self-training models carry out predictions without strong annotations and then take predictions with high probabilities as pseudo-l... |
2212.11682 | Tommaso Turchi | Robert D. Macredie, Martin Shepperd, Tommaso Turchi, Terry Young | Exploring Student Engagement and Outcomes: Experiences from Three Cycles
of an Undergraduate Module | 21 pages, 11 figures | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Many studies in educational data mining address specific learner groups, such
as first-in-family to attend Higher Education, or focus on differences in
characteristics such as gender or ethnicity, with the aim of predicting
performance and designing interventions to improve outcomes. For Higher
Education, this is ref... | [
{
"created": "Thu, 22 Dec 2022 13:12:47 GMT",
"version": "v1"
}
] | 2022-12-23 | [
[
"Macredie",
"Robert D.",
""
],
[
"Shepperd",
"Martin",
""
],
[
"Turchi",
"Tommaso",
""
],
[
"Young",
"Terry",
""
]
] | Many studies in educational data mining address specific learner groups, such as first-in-family to attend Higher Education, or focus on differences in characteristics such as gender or ethnicity, with the aim of predicting performance and designing interventions to improve outcomes. For Higher Education, this is refle... |
2205.04103 | Guillaume Theyssier | Samuel Nalin (LIFO), Guillaume Theyssier (I2M) | On Turedo Hierarchies and Intrinsic Universality | null | null | null | null | cs.CC cs.DM math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper is about turedos, which are Turing machine whose head can move in
the plane (or in a higher-dimensional space) but only in a selfavoiding way, by
putting marks (letters) on visited positions and moving only to unmarked,
therefore unvisited, positions. The key parameter of turedos is their lookup
radius: th... | [
{
"created": "Mon, 9 May 2022 08:09:08 GMT",
"version": "v1"
}
] | 2022-05-10 | [
[
"Nalin",
"Samuel",
"",
"LIFO"
],
[
"Theyssier",
"Guillaume",
"",
"I2M"
]
] | This paper is about turedos, which are Turing machine whose head can move in the plane (or in a higher-dimensional space) but only in a selfavoiding way, by putting marks (letters) on visited positions and moving only to unmarked, therefore unvisited, positions. The key parameter of turedos is their lookup radius: the ... |
1605.02474 | Dongxiao Yu | Magnus M. Halldorsson and Tigran Tonoyan and Yuexuan Wang and Dongxiao
Yu | Data Dissemination in Unified Dynamic Wireless Networks | 28 pages, 2 figures | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give efficient algorithms for the fundamental problems of Broadcast and
Local Broadcast in dynamic wireless networks. We propose a general model of
communication which captures and includes both fading models (like SINR) and
graph-based models (such as quasi unit disc graphs, bounded-independence
graphs, and proto... | [
{
"created": "Mon, 9 May 2016 08:44:15 GMT",
"version": "v1"
}
] | 2016-05-10 | [
[
"Halldorsson",
"Magnus M.",
""
],
[
"Tonoyan",
"Tigran",
""
],
[
"Wang",
"Yuexuan",
""
],
[
"Yu",
"Dongxiao",
""
]
] | We give efficient algorithms for the fundamental problems of Broadcast and Local Broadcast in dynamic wireless networks. We propose a general model of communication which captures and includes both fading models (like SINR) and graph-based models (such as quasi unit disc graphs, bounded-independence graphs, and protoco... |
2104.04191 | Jessica Yung | Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip
Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai | SI-Score: An image dataset for fine-grained analysis of robustness to
object location, rotation and size | 4 pages (10 pages including references and appendix), 10 figures.
Accepted at the ICLR 2021 RobustML Workshop. arXiv admin note: text overlap
with arXiv:2007.08558 | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Before deploying machine learning models it is critical to assess their
robustness. In the context of deep neural networks for image understanding,
changing the object location, rotation and size may affect the predictions in
non-trivial ways. In this work we perform a fine-grained analysis of robustness
with respect... | [
{
"created": "Fri, 9 Apr 2021 05:00:49 GMT",
"version": "v1"
}
] | 2021-04-12 | [
[
"Yung",
"Jessica",
""
],
[
"Romijnders",
"Rob",
""
],
[
"Kolesnikov",
"Alexander",
""
],
[
"Beyer",
"Lucas",
""
],
[
"Djolonga",
"Josip",
""
],
[
"Houlsby",
"Neil",
""
],
[
"Gelly",
"Sylvain",
""
],
[
... | Before deploying machine learning models it is critical to assess their robustness. In the context of deep neural networks for image understanding, changing the object location, rotation and size may affect the predictions in non-trivial ways. In this work we perform a fine-grained analysis of robustness with respect t... |
2104.05743 | Pavlos Papadopoulos | Tom Titcombe, Adam J. Hall, Pavlos Papadopoulos, Daniele Romanini | Practical Defences Against Model Inversion Attacks for Split Neural
Networks | ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML
2021) | null | null | null | cs.LG cs.CR cs.DC | http://creativecommons.org/licenses/by/4.0/ | We describe a threat model under which a split network-based federated
learning system is susceptible to a model inversion attack by a malicious
computational server. We demonstrate that the attack can be successfully
performed with limited knowledge of the data distribution by the attacker. We
propose a simple addit... | [
{
"created": "Mon, 12 Apr 2021 18:12:17 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Apr 2021 11:01:25 GMT",
"version": "v2"
}
] | 2021-04-22 | [
[
"Titcombe",
"Tom",
""
],
[
"Hall",
"Adam J.",
""
],
[
"Papadopoulos",
"Pavlos",
""
],
[
"Romanini",
"Daniele",
""
]
] | We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demonstrate that the attack can be successfully performed with limited knowledge of the data distribution by the attacker. We propose a simple additiv... |
0912.3974 | William Jackson | Martin Larrea, Dana Urribarri, Sergio Martig, Silvia Castro | Spherical Layout Implementation using Centroidal Voronoi Tessellations | null | Journal of Computing, Volume 1, Issue 1, pp 81-86, December 2009 | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The 3D tree visualization faces multiple challenges: the election of an
appropriate layout, the use of the interactions that make the data exploration
easier and a metaphor that helps in the process of information understanding. A
good combination of these elements will result in a visualization that
effectively conv... | [
{
"created": "Sun, 20 Dec 2009 03:53:20 GMT",
"version": "v1"
}
] | 2009-12-22 | [
[
"Larrea",
"Martin",
""
],
[
"Urribarri",
"Dana",
""
],
[
"Martig",
"Sergio",
""
],
[
"Castro",
"Silvia",
""
]
] | The 3D tree visualization faces multiple challenges: the election of an appropriate layout, the use of the interactions that make the data exploration easier and a metaphor that helps in the process of information understanding. A good combination of these elements will result in a visualization that effectively convey... |
2002.11078 | Hao Guo | Hao Guo, Wanxin Li, Ehsan Meamari, Chien-Chung Shen, Mark Nejad | Attribute-based Multi-Signature and Encryption for EHR Management: A
Blockchain-based Solution | This paper is accepted to the Short Paper track by 2020 IEEE
International Conference on Blockchain and Cryptocurrency (ICBC 2020) | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The global Electronic Health Record (EHR) market is growing dramatically and
has already hit $31.5 billion in 2018. To safeguard the security of EHR data
and privacy of patients, fine-grained information access and sharing mechanisms
are essential for EHR management. This paper proposes a hybrid architecture of
block... | [
{
"created": "Tue, 25 Feb 2020 18:24:16 GMT",
"version": "v1"
}
] | 2020-02-26 | [
[
"Guo",
"Hao",
""
],
[
"Li",
"Wanxin",
""
],
[
"Meamari",
"Ehsan",
""
],
[
"Shen",
"Chien-Chung",
""
],
[
"Nejad",
"Mark",
""
]
] | The global Electronic Health Record (EHR) market is growing dramatically and has already hit $31.5 billion in 2018. To safeguard the security of EHR data and privacy of patients, fine-grained information access and sharing mechanisms are essential for EHR management. This paper proposes a hybrid architecture of blockch... |
2408.05750 | Zitao Gao | Zhigang Tu, Zitao Gao, Zhengbo Zhang, Chunluan Zhou, Junsong Yuan, Bo
Du | FADE: A Dataset for Detecting Falling Objects around Buildings in Video | 11 pages, 10 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Falling objects from buildings can cause severe injuries to pedestrians due
to the great impact force they exert. Although surveillance cameras are
installed around some buildings, it is challenging for humans to capture such
events in surveillance videos due to the small size and fast motion of falling
objects, as w... | [
{
"created": "Sun, 11 Aug 2024 11:43:56 GMT",
"version": "v1"
}
] | 2024-08-13 | [
[
"Tu",
"Zhigang",
""
],
[
"Gao",
"Zitao",
""
],
[
"Zhang",
"Zhengbo",
""
],
[
"Zhou",
"Chunluan",
""
],
[
"Yuan",
"Junsong",
""
],
[
"Du",
"Bo",
""
]
] | Falling objects from buildings can cause severe injuries to pedestrians due to the great impact force they exert. Although surveillance cameras are installed around some buildings, it is challenging for humans to capture such events in surveillance videos due to the small size and fast motion of falling objects, as wel... |
1108.2389 | Anis Ismail | Anis Ismail, Abd El Salam Al Hajjar and Ziad Ismail | A New System Architecture for Pervasive Computing | 15 pages, 4 figures | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present new system architecture, a distributed framework designed to
support pervasive computing applications. We propose a new architecture
consisting of a search engine and peripheral clients that addresses issues in
scalability, data sharing, data transformation and inherent platform
heterogeneity. Key features... | [
{
"created": "Fri, 5 Aug 2011 18:19:51 GMT",
"version": "v1"
}
] | 2011-08-12 | [
[
"Ismail",
"Anis",
""
],
[
"Hajjar",
"Abd El Salam Al",
""
],
[
"Ismail",
"Ziad",
""
]
] | We present new system architecture, a distributed framework designed to support pervasive computing applications. We propose a new architecture consisting of a search engine and peripheral clients that addresses issues in scalability, data sharing, data transformation and inherent platform heterogeneity. Key features o... |
1705.05885 | Benjamin Kunsberg | Daniel Niels Holtmann-Rice, Benjamin S. Kunsberg, Steven W. Zucker | What's In A Patch, I: Tensors, Differential Geometry and Statistical
Shading Analysis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a linear algebraic framework for the shape-from-shading problem,
because tensors arise when scalar (e.g. image) and vector (e.g. surface normal)
fields are differentiated multiple times. The work is in two parts. In this
first part we investigate when image derivatives exhibit invariance to changing
illumi... | [
{
"created": "Tue, 16 May 2017 19:39:52 GMT",
"version": "v1"
}
] | 2017-05-18 | [
[
"Holtmann-Rice",
"Daniel Niels",
""
],
[
"Kunsberg",
"Benjamin S.",
""
],
[
"Zucker",
"Steven W.",
""
]
] | We develop a linear algebraic framework for the shape-from-shading problem, because tensors arise when scalar (e.g. image) and vector (e.g. surface normal) fields are differentiated multiple times. The work is in two parts. In this first part we investigate when image derivatives exhibit invariance to changing illumina... |
1511.01573 | EPTCS | David Quick | Encoding !-tensors as !-graphs with neighbourhood orders | In Proceedings QPL 2015, arXiv:1511.01181 | EPTCS 195, 2015, pp. 307-320 | 10.4204/EPTCS.195.23 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diagrammatic reasoning using string diagrams provides an intuitive language
for reasoning about morphisms in a symmetric monoidal category. To allow
working with infinite families of string diagrams, !-graphs were introduced as
a method to mark repeated structure inside a diagram. This led to !-graphs
being implement... | [
{
"created": "Thu, 5 Nov 2015 01:44:40 GMT",
"version": "v1"
}
] | 2015-11-06 | [
[
"Quick",
"David",
""
]
] | Diagrammatic reasoning using string diagrams provides an intuitive language for reasoning about morphisms in a symmetric monoidal category. To allow working with infinite families of string diagrams, !-graphs were introduced as a method to mark repeated structure inside a diagram. This led to !-graphs being implemented... |
2307.05494 | Pengfei Li | Pengfei Li and Jianyi Yang and Adam Wierman and Shaolei Ren | Towards Environmentally Equitable AI via Geographical Load Balancing | Accepted by ACM e-Energy 2024 | null | null | null | cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fueled by the soaring popularity of large language and foundation models, the
accelerated growth of artificial intelligence (AI) models' enormous
environmental footprint has come under increased scrutiny. While many
approaches have been proposed to make AI more energy-efficient and
environmentally friendly, environme... | [
{
"created": "Tue, 20 Jun 2023 17:13:33 GMT",
"version": "v1"
},
{
"created": "Thu, 2 May 2024 06:10:54 GMT",
"version": "v2"
}
] | 2024-05-03 | [
[
"Li",
"Pengfei",
""
],
[
"Yang",
"Jianyi",
""
],
[
"Wierman",
"Adam",
""
],
[
"Ren",
"Shaolei",
""
]
] | Fueled by the soaring popularity of large language and foundation models, the accelerated growth of artificial intelligence (AI) models' enormous environmental footprint has come under increased scrutiny. While many approaches have been proposed to make AI more energy-efficient and environmentally friendly, environment... |
1605.03390 | Mark Daniel Ward | Jeffrey Gaither and Mark Daniel Ward | Variance of the Internal Profile in Suffix Trees | 19 pages, 0 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The precise analysis of the variance of the profile of a suffix tree has been
a longstanding open problem. We analyze three regimes of the asymptotic growth
of the variance of the profile of a suffix tree built from a randomly generated
binary string, in the nonuniform case. We utilize combinatorics on words,
singula... | [
{
"created": "Wed, 11 May 2016 11:47:59 GMT",
"version": "v1"
},
{
"created": "Thu, 12 May 2016 22:54:52 GMT",
"version": "v2"
}
] | 2016-05-16 | [
[
"Gaither",
"Jeffrey",
""
],
[
"Ward",
"Mark Daniel",
""
]
] | The precise analysis of the variance of the profile of a suffix tree has been a longstanding open problem. We analyze three regimes of the asymptotic growth of the variance of the profile of a suffix tree built from a randomly generated binary string, in the nonuniform case. We utilize combinatorics on words, singulari... |
2306.12240 | Arnaud Valence | Arnaud Valence | ICAR, a categorical framework to connect vulnerability, threat and asset
managements | 26 pages, 6 figures | null | null | null | cs.CR math.CT | http://creativecommons.org/licenses/by/4.0/ | We present ICAR, a mathematical framework derived from category theory for
representing cybersecurity NIST and MITRE's ontologies. Designed for
cybersecurity, ICAR is a category whose objects are cybersecurity knowledge
(weakness, vulnerability, impacted product, attack technique, etc.) and whose
morphisms are relati... | [
{
"created": "Wed, 21 Jun 2023 12:59:29 GMT",
"version": "v1"
}
] | 2023-06-22 | [
[
"Valence",
"Arnaud",
""
]
] | We present ICAR, a mathematical framework derived from category theory for representing cybersecurity NIST and MITRE's ontologies. Designed for cybersecurity, ICAR is a category whose objects are cybersecurity knowledge (weakness, vulnerability, impacted product, attack technique, etc.) and whose morphisms are relation... |
2103.13689 | Shunquan Tan | Xianbo Mo and Shunquan Tan and Bin Li and Jiwu Huang | MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning
Framework for Universal Non-additive Steganography | accepted by TIFS | null | 10.1109/TIFS.2021.3104140 | null | cs.MM cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent research has shown that non-additive image steganographic frameworks
effectively improve security performance through adjusting distortion
distribution. However, as far as we know, all of the existing non-additive
proposals are based on handcrafted policies, and can only be applied to a
specific image domain, ... | [
{
"created": "Thu, 25 Mar 2021 09:12:08 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Aug 2021 07:01:06 GMT",
"version": "v2"
}
] | 2021-08-11 | [
[
"Mo",
"Xianbo",
""
],
[
"Tan",
"Shunquan",
""
],
[
"Li",
"Bin",
""
],
[
"Huang",
"Jiwu",
""
]
] | Recent research has shown that non-additive image steganographic frameworks effectively improve security performance through adjusting distortion distribution. However, as far as we know, all of the existing non-additive proposals are based on handcrafted policies, and can only be applied to a specific image domain, wh... |
2011.07577 | Harshit Rampal | Dhruv Vashisht, Harshit Rampal, Haiguang Liao, Yang Lu, Devika
Shanbhag, Elias Fallon, Levent Burak Kara | Placement in Integrated Circuits using Cyclic Reinforcement Learning and
Simulated Annealing | null | null | null | null | cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physical design and production of Integrated Circuits (IC) is becoming
increasingly more challenging as the sophistication in IC technology is
steadily increasing. Placement has been one of the most critical steps in IC
physical design. Through decades of research, partition-based, analytical-based
and annealing-base... | [
{
"created": "Sun, 15 Nov 2020 16:48:56 GMT",
"version": "v1"
}
] | 2020-11-17 | [
[
"Vashisht",
"Dhruv",
""
],
[
"Rampal",
"Harshit",
""
],
[
"Liao",
"Haiguang",
""
],
[
"Lu",
"Yang",
""
],
[
"Shanbhag",
"Devika",
""
],
[
"Fallon",
"Elias",
""
],
[
"Kara",
"Levent Burak",
""
]
] | Physical design and production of Integrated Circuits (IC) is becoming increasingly more challenging as the sophistication in IC technology is steadily increasing. Placement has been one of the most critical steps in IC physical design. Through decades of research, partition-based, analytical-based and annealing-based ... |
1712.06070 | Andres Felipe Cruz Salinas | Andres Felipe Cruz Salinas and Jonatan Gomez Perdomo | Self-adaptation of Genetic Operators Through Genetic Programming
Techniques | Presented in GECCO 2017 | null | 10.1145/3071178.3071214 | null | cs.NE | http://creativecommons.org/publicdomain/zero/1.0/ | Here we propose an evolutionary algorithm that self modifies its operators at
the same time that candidate solutions are evolved. This tackles convergence
and lack of diversity issues, leading to better solutions. Operators are
represented as trees and are evolved using genetic programming (GP) techniques.
The propos... | [
{
"created": "Sun, 17 Dec 2017 07:53:36 GMT",
"version": "v1"
}
] | 2017-12-19 | [
[
"Salinas",
"Andres Felipe Cruz",
""
],
[
"Perdomo",
"Jonatan Gomez",
""
]
] | Here we propose an evolutionary algorithm that self modifies its operators at the same time that candidate solutions are evolved. This tackles convergence and lack of diversity issues, leading to better solutions. Operators are represented as trees and are evolved using genetic programming (GP) techniques. The proposed... |
2107.00189 | Xiangyu Xi | Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu | Capturing Event Argument Interaction via A Bi-Directional Entity-Level
Recurrent Decoder | null | ACL-IJCNLP 2021 | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Capturing interactions among event arguments is an essential step towards
robust event argument extraction (EAE). However, existing efforts in this
direction suffer from two limitations: 1) The argument role type information of
contextual entities is mainly utilized as training signals, ignoring the
potential merits ... | [
{
"created": "Thu, 1 Jul 2021 02:55:12 GMT",
"version": "v1"
}
] | 2021-07-02 | [
[
"Xi",
"Xiangyu",
""
],
[
"Ye",
"Wei",
""
],
[
"Zhang",
"Shikun",
""
],
[
"Wang",
"Quanxiu",
""
],
[
"Jiang",
"Huixing",
""
],
[
"Wu",
"Wei",
""
]
] | Capturing interactions among event arguments is an essential step towards robust event argument extraction (EAE). However, existing efforts in this direction suffer from two limitations: 1) The argument role type information of contextual entities is mainly utilized as training signals, ignoring the potential merits of... |
2309.01103 | Wei Wei | Wei Wei, Lianghao Xia, Chao Huang | Multi-Relational Contrastive Learning for Recommendation | This paper has been published as a full paper at RecSys 2023 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Personalized recommender systems play a crucial role in capturing users'
evolving preferences over time to provide accurate and effective
recommendations on various online platforms. However, many recommendation
models rely on a single type of behavior learning, which limits their ability
to represent the complex rel... | [
{
"created": "Sun, 3 Sep 2023 06:56:45 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Sep 2023 17:10:13 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Oct 2023 05:10:14 GMT",
"version": "v3"
}
] | 2023-10-23 | [
[
"Wei",
"Wei",
""
],
[
"Xia",
"Lianghao",
""
],
[
"Huang",
"Chao",
""
]
] | Personalized recommender systems play a crucial role in capturing users' evolving preferences over time to provide accurate and effective recommendations on various online platforms. However, many recommendation models rely on a single type of behavior learning, which limits their ability to represent the complex relat... |
2007.06141 | Wenying Wu | Wenying Wu, Pavlos Protopapas, Zheng Yang, Panagiotis Michalatos | Gender Classification and Bias Mitigation in Facial Images | 9 pages | WebSci (2020) 106-114 | 10.1145/3394231 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Gender classification algorithms have important applications in many domains
today such as demographic research, law enforcement, as well as human-computer
interaction. Recent research showed that algorithms trained on biased benchmark
databases could result in algorithmic bias. However, to date, little research
has ... | [
{
"created": "Mon, 13 Jul 2020 01:09:06 GMT",
"version": "v1"
}
] | 2020-07-14 | [
[
"Wu",
"Wenying",
""
],
[
"Protopapas",
"Pavlos",
""
],
[
"Yang",
"Zheng",
""
],
[
"Michalatos",
"Panagiotis",
""
]
] | Gender classification algorithms have important applications in many domains today such as demographic research, law enforcement, as well as human-computer interaction. Recent research showed that algorithms trained on biased benchmark databases could result in algorithmic bias. However, to date, little research has be... |
2205.03398 | Ulrike Kuhl | Ulrike Kuhl and Andr\'e Artelt and Barbara Hammer | Let's Go to the Alien Zoo: Introducing an Experimental Framework to
Study Usability of Counterfactual Explanations for Machine Learning | We provide the entire code, together with the underlying models and
user data: https://github.com/ukuhl/IntroAlienZoo | Front.Comput.Sci. (2023), Sec. Theoretical Computer Science,
Volume 5 | 10.3389/fcomp.2023.1087929 | null | cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | To foster usefulness and accountability of machine learning (ML), it is
essential to explain a model's decisions in addition to evaluating its
performance. Accordingly, the field of explainable artificial intelligence
(XAI) has resurfaced as a topic of active research, offering approaches to
address the "how" and "wh... | [
{
"created": "Fri, 6 May 2022 17:57:05 GMT",
"version": "v1"
}
] | 2023-03-24 | [
[
"Kuhl",
"Ulrike",
""
],
[
"Artelt",
"André",
""
],
[
"Hammer",
"Barbara",
""
]
] | To foster usefulness and accountability of machine learning (ML), it is essential to explain a model's decisions in addition to evaluating its performance. Accordingly, the field of explainable artificial intelligence (XAI) has resurfaced as a topic of active research, offering approaches to address the "how" and "why"... |
2205.13481 | Vincent Jeanselme | Vincent Jeanselme, Glen Martin, Niels Peek, Matthew Sperrin, Brian Tom
and Jessica Barrett | DeepJoint: Robust Survival Modelling Under Clinical Presence Shift | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Observational data in medicine arise as a result of the complex interaction
between patients and the healthcare system. The sampling process is often
highly irregular and itself constitutes an informative process. When using such
data to develop prediction models, this phenomenon is often ignored, leading to
sub-opti... | [
{
"created": "Thu, 26 May 2022 16:42:38 GMT",
"version": "v1"
}
] | 2022-05-27 | [
[
"Jeanselme",
"Vincent",
""
],
[
"Martin",
"Glen",
""
],
[
"Peek",
"Niels",
""
],
[
"Sperrin",
"Matthew",
""
],
[
"Tom",
"Brian",
""
],
[
"Barrett",
"Jessica",
""
]
] | Observational data in medicine arise as a result of the complex interaction between patients and the healthcare system. The sampling process is often highly irregular and itself constitutes an informative process. When using such data to develop prediction models, this phenomenon is often ignored, leading to sub-optima... |
2112.00842 | Sebastian Perez-Salazar | Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello | Robust Online Selection with Uncertain Offer Acceptance | null | null | null | null | cs.GT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online advertising has motivated interest in online selection problems.
Displaying ads to the right users benefits both the platform (e.g., via
pay-per-click) and the advertisers (by increasing their reach). In practice,
not all users click on displayed ads, while the platform's algorithm may miss
the users most disp... | [
{
"created": "Wed, 1 Dec 2021 21:41:13 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Aug 2024 14:59:42 GMT",
"version": "v2"
}
] | 2024-08-16 | [
[
"Perez-Salazar",
"Sebastian",
""
],
[
"Singh",
"Mohit",
""
],
[
"Toriello",
"Alejandro",
""
]
] | Online advertising has motivated interest in online selection problems. Displaying ads to the right users benefits both the platform (e.g., via pay-per-click) and the advertisers (by increasing their reach). In practice, not all users click on displayed ads, while the platform's algorithm may miss the users most dispos... |
2403.12935 | Luis Diaz-Garcia | Efrain Torres-Lomas, Jimena Lado-Jimena, Guillermo Garcia-Zamora, Luis
Diaz-Garcia | Segment Anything for comprehensive analysis of grapevine cluster
architecture and berry properties | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Grape cluster architecture and compactness are complex traits influencing
disease susceptibility, fruit quality, and yield. Evaluation methods for these
traits include visual scoring, manual methodologies, and computer vision, with
the latter being the most scalable approach. Most of the existing computer
vision appr... | [
{
"created": "Tue, 19 Mar 2024 17:37:18 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Torres-Lomas",
"Efrain",
""
],
[
"Lado-Jimena",
"Jimena",
""
],
[
"Garcia-Zamora",
"Guillermo",
""
],
[
"Diaz-Garcia",
"Luis",
""
]
] | Grape cluster architecture and compactness are complex traits influencing disease susceptibility, fruit quality, and yield. Evaluation methods for these traits include visual scoring, manual methodologies, and computer vision, with the latter being the most scalable approach. Most of the existing computer vision approa... |
1511.04629 | Tomaso Erseghe | Tomaso Erseghe | Coding in the Finite-Blocklength Regime: Bounds based on Laplace
Integrals and their Asymptotic Approximations | 29 pages, 10 figures. Submitted to IEEE Trans. on Information Theory.
Matlab code available from http://dgt.dei.unipd.it section Download->Finite
Blocklength Regime | null | 10.1109/TIT.2016.2616900 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we provide new compact integral expressions and associated
simple asymptotic approximations for converse and achievability bounds in the
finite blocklength regime. The chosen converse and random coding union bounds
were taken from the recent work of Polyanskyi-Poor-Verdu, and are investigated
under para... | [
{
"created": "Sat, 14 Nov 2015 22:14:30 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Jun 2016 13:12:37 GMT",
"version": "v2"
}
] | 2016-10-25 | [
[
"Erseghe",
"Tomaso",
""
]
] | In this paper we provide new compact integral expressions and associated simple asymptotic approximations for converse and achievability bounds in the finite blocklength regime. The chosen converse and random coding union bounds were taken from the recent work of Polyanskyi-Poor-Verdu, and are investigated under parall... |
1908.02781 | Amir Mosavi Prof | Amir Mosavi, Pinar Ozturk, Kwok-wing Chau | Flood Prediction Using Machine Learning Models: Literature Review | 74 pages, 10 figures, 6 tables | Water 2018, 10, 1536 | 10.3390/w10111536 | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Floods are among the most destructive natural disasters, which are highly
complex to model. The research on the advancement of flood prediction models
contributed to risk reduction, policy suggestion, minimization of the loss of
human life, and reduction the property damage associated with floods. To mimic
the comple... | [
{
"created": "Wed, 7 Aug 2019 18:05:45 GMT",
"version": "v1"
}
] | 2020-08-10 | [
[
"Mosavi",
"Amir",
""
],
[
"Ozturk",
"Pinar",
""
],
[
"Chau",
"Kwok-wing",
""
]
] | Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life, and reduction the property damage associated with floods. To mimic the complex ... |
2305.09924 | Hao Zheng | Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng
Zheng | CageViT: Convolutional Activation Guided Efficient Vision Transformer | 9 pages, 3 figures, NeurIPS conference | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, Transformers have emerged as the go-to architecture for both vision
and language modeling tasks, but their computational efficiency is limited by
the length of the input sequence. To address this, several efficient variants
of Transformers have been proposed to accelerate computation or reduce memory
consum... | [
{
"created": "Wed, 17 May 2023 03:19:18 GMT",
"version": "v1"
}
] | 2023-05-18 | [
[
"Zheng",
"Hao",
""
],
[
"Wang",
"Jinbao",
""
],
[
"Zhen",
"Xiantong",
""
],
[
"Chen",
"Hong",
""
],
[
"Song",
"Jingkuan",
""
],
[
"Zheng",
"Feng",
""
]
] | Recently, Transformers have emerged as the go-to architecture for both vision and language modeling tasks, but their computational efficiency is limited by the length of the input sequence. To address this, several efficient variants of Transformers have been proposed to accelerate computation or reduce memory consumpt... |
1903.08481 | Jonathan Williams | Jonathan Williams, Carola-Bibiane Sch\"onlieb, Tom Swinfield, Juheon
Lee, Xiaohao Cai, Lan Qie, David A. Coomes | Three-dimensional Segmentation of Trees Through a Flexible Multi-Class
Graph Cut Algorithm (MCGC) | null | null | 10.1109/TGRS.2019.2940146 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developing a robust algorithm for automatic individual tree crown (ITC)
detection from laser scanning datasets is important for tracking the responses
of trees to anthropogenic change. Such approaches allow the size, growth and
mortality of individual trees to be measured, enabling forest carbon stocks and
dynamics t... | [
{
"created": "Wed, 20 Mar 2019 12:35:17 GMT",
"version": "v1"
}
] | 2019-10-04 | [
[
"Williams",
"Jonathan",
""
],
[
"Schönlieb",
"Carola-Bibiane",
""
],
[
"Swinfield",
"Tom",
""
],
[
"Lee",
"Juheon",
""
],
[
"Cai",
"Xiaohao",
""
],
[
"Qie",
"Lan",
""
],
[
"Coomes",
"David A.",
""
]
] | Developing a robust algorithm for automatic individual tree crown (ITC) detection from laser scanning datasets is important for tracking the responses of trees to anthropogenic change. Such approaches allow the size, growth and mortality of individual trees to be measured, enabling forest carbon stocks and dynamics to ... |
1410.1729 | Andrey Shchurov | Andrey A. Shchurov | A Formal Model of Distributed Systems For Test Generation Missions | 6 pages, 9 figures | International Journal of Computer Trends and Technology (IJCTT)
V15(2):128-133, September 2014 | 10.14445/22312803/IJCTT-V15P128 | null | cs.SE cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, deployment of distributed systems sets high requirements for
procedures and tools for the complex testing of these systems - virtualization
and cloud technologies make another level of system complexity. As a possible
solution, it is necessary to determine a formal list of control objectives -
checklists. T... | [
{
"created": "Mon, 6 Oct 2014 10:57:38 GMT",
"version": "v1"
}
] | 2014-10-08 | [
[
"Shchurov",
"Andrey A.",
""
]
] | Nowadays, deployment of distributed systems sets high requirements for procedures and tools for the complex testing of these systems - virtualization and cloud technologies make another level of system complexity. As a possible solution, it is necessary to determine a formal list of control objectives - checklists. The... |
1402.3718 | Ying Long | Ying Long, Kang Wu, Qizhi Mao | Simulating urban expansion in the parcel level for all Chinese cities | 23 pages, 8 figures | null | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale models are generally associated with big modelling units in
space, like counties or super grids (several to dozens km2). Few applied urban
models can pursue large-scale extent with fine-level units simultaneously due
to data availability and computation load. The framework of automatic
identification and ... | [
{
"created": "Sat, 15 Feb 2014 19:57:07 GMT",
"version": "v1"
}
] | 2014-02-18 | [
[
"Long",
"Ying",
""
],
[
"Wu",
"Kang",
""
],
[
"Mao",
"Qizhi",
""
]
] | Large-scale models are generally associated with big modelling units in space, like counties or super grids (several to dozens km2). Few applied urban models can pursue large-scale extent with fine-level units simultaneously due to data availability and computation load. The framework of automatic identification and ch... |
2006.08327 | Raphael Kramer | Raphael Kramer and Arthur Kramer | Exact and heuristic methods for the discrete parallel machine scheduling
location problem | 25 pages, 5 figures, 7 tables | null | null | null | cs.AI math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The discrete parallel machine makespan scheduling location (ScheLoc) problem
is an integrated combinatorial optimization problem that combines facility
location and job scheduling. The problem consists in choosing the locations of
$p$ machines among a finite set of candidates and scheduling a set of jobs on
these mac... | [
{
"created": "Tue, 9 Jun 2020 00:10:18 GMT",
"version": "v1"
}
] | 2020-06-16 | [
[
"Kramer",
"Raphael",
""
],
[
"Kramer",
"Arthur",
""
]
] | The discrete parallel machine makespan scheduling location (ScheLoc) problem is an integrated combinatorial optimization problem that combines facility location and job scheduling. The problem consists in choosing the locations of $p$ machines among a finite set of candidates and scheduling a set of jobs on these machi... |
1711.11427 | Saugata Ghose | Yu Cai, Saugata Ghose, Erich F. Haratsch, Yixin Luo, Onur Mutlu | Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation,
and Recovery | arXiv admin note: substantial text overlap with arXiv:1706.08642 | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | NAND flash memory is ubiquitous in everyday life today because its capacity
has continuously increased and cost has continuously decreased over decades.
This positive growth is a result of two key trends: (1) effective process
technology scaling; and (2) multi-level (e.g., MLC, TLC) cell data coding.
Unfortunately, t... | [
{
"created": "Tue, 28 Nov 2017 19:54:09 GMT",
"version": "v1"
},
{
"created": "Fri, 5 Jan 2018 15:17:52 GMT",
"version": "v2"
}
] | 2018-01-08 | [
[
"Cai",
"Yu",
""
],
[
"Ghose",
"Saugata",
""
],
[
"Haratsch",
"Erich F.",
""
],
[
"Luo",
"Yixin",
""
],
[
"Mutlu",
"Onur",
""
]
] | NAND flash memory is ubiquitous in everyday life today because its capacity has continuously increased and cost has continuously decreased over decades. This positive growth is a result of two key trends: (1) effective process technology scaling; and (2) multi-level (e.g., MLC, TLC) cell data coding. Unfortunately, the... |
1901.09165 | Bo Bai | Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang | GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted
Dynamic Networks | to appear in IEEE Infocom 2019 | null | null | null | cs.SI cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we generally formulate the dynamics prediction problem of
various network systems (e.g., the prediction of mobility, traffic and
topology) as the temporal link prediction task. Different from conventional
techniques of temporal link prediction that ignore the potential non-linear
characteristics and th... | [
{
"created": "Sat, 26 Jan 2019 05:42:05 GMT",
"version": "v1"
}
] | 2019-01-29 | [
[
"Lei",
"Kai",
""
],
[
"Qin",
"Meng",
""
],
[
"Bai",
"Bo",
""
],
[
"Zhang",
"Gong",
""
],
[
"Yang",
"Min",
""
]
] | In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link prediction task. Different from conventional techniques of temporal link prediction that ignore the potential non-linear characteristics and the ... |
1904.06850 | EPTCS | Carlos Olarte (UFRN), Valeria de Paiva (Nuance Communications), Elaine
Pimentel (UFRN), Giselle Reis (CMU-Qatar) | The ILLTP Library for Intuitionistic Linear Logic | In Proceedings Linearity-TLLA 2018, arXiv:1904.06159 | EPTCS 292, 2019, pp. 118-132 | 10.4204/EPTCS.292.7 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Benchmarking automated theorem proving (ATP) systems using standardized
problem sets is a well-established method for measuring their performance.
However, the availability of such libraries for non-classical logics is very
limited. In this work we propose a library for benchmarking Girard's
(propositional) intuition... | [
{
"created": "Mon, 15 Apr 2019 05:17:35 GMT",
"version": "v1"
}
] | 2019-04-16 | [
[
"Olarte",
"Carlos",
"",
"UFRN"
],
[
"de Paiva",
"Valeria",
"",
"Nuance Communications"
],
[
"Pimentel",
"Elaine",
"",
"UFRN"
],
[
"Reis",
"Giselle",
"",
"CMU-Qatar"
]
] | Benchmarking automated theorem proving (ATP) systems using standardized problem sets is a well-established method for measuring their performance. However, the availability of such libraries for non-classical logics is very limited. In this work we propose a library for benchmarking Girard's (propositional) intuitionis... |
2403.19729 | Pablo Fondo-Ferreiro | David Candal-Ventureira, Francisco Javier Gonz\'alez-Casta\~no, Felipe
Gil-Casti\~neira, Pablo Fondo-Ferreiro | Is the edge really necessary for drone computing offloading? An
experimental assessment in carrier-grade 5G operator networks | Article published in Software: Practice and Experience | Software: Practice and Experience, vol. 53, no. 3, pp. 579-599,
March 2023 | 10.1002/spe.3161 | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | In this article, we evaluate the first experience of computation offloading
from drones to real fifth-generation (5G) operator systems, including
commercial and private carrier-grade 5G networks. A follow-me drone service was
implemented as a representative testbed of remote video analytics. In this
application, an i... | [
{
"created": "Thu, 28 Mar 2024 12:26:10 GMT",
"version": "v1"
}
] | 2024-04-01 | [
[
"Candal-Ventureira",
"David",
""
],
[
"González-Castaño",
"Francisco Javier",
""
],
[
"Gil-Castiñeira",
"Felipe",
""
],
[
"Fondo-Ferreiro",
"Pablo",
""
]
] | In this article, we evaluate the first experience of computation offloading from drones to real fifth-generation (5G) operator systems, including commercial and private carrier-grade 5G networks. A follow-me drone service was implemented as a representative testbed of remote video analytics. In this application, an ima... |
1601.07352 | Nicolas Nicolaou | Nicolas Nicolaou and Antonio Fern\'andez Anta and Chryssis Georgiou | CoVer-ability: Consistent Versioning for Concurrent Objects | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An object type characterizes the domain space and the operations that can be
invoked on an object of that type. In this paper we introduce a new property
for concurrent objects, we call coverability, that aims to provide precise
guarantees on the consistent evolution of an object. This new property is
suitable for a ... | [
{
"created": "Wed, 27 Jan 2016 13:09:30 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Feb 2016 13:27:39 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Mar 2016 18:35:55 GMT",
"version": "v3"
}
] | 2016-03-14 | [
[
"Nicolaou",
"Nicolas",
""
],
[
"Anta",
"Antonio Fernández",
""
],
[
"Georgiou",
"Chryssis",
""
]
] | An object type characterizes the domain space and the operations that can be invoked on an object of that type. In this paper we introduce a new property for concurrent objects, we call coverability, that aims to provide precise guarantees on the consistent evolution of an object. This new property is suitable for a va... |
2205.14315 | Zhe Zhang | Kan Xie, Zhe Zhang, Bo Li, Jiawen Kang, Dusit Niyato, Shengli Xie, Yi
Wu | Efficient Federated Learning with Spike Neural Networks for Traffic Sign
Recognition | Submitted by IEEE Transactions on Vehicular Technology | null | null | null | cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the gradual popularization of self-driving, it is becoming increasingly
important for vehicles to smartly make the right driving decisions and
autonomously obey traffic rules by correctly recognizing traffic signs.
However, for machine learning-based traffic sign recognition on the Internet of
Vehicles (IoV), a ... | [
{
"created": "Sat, 28 May 2022 03:11:48 GMT",
"version": "v1"
}
] | 2022-06-01 | [
[
"Xie",
"Kan",
""
],
[
"Zhang",
"Zhe",
""
],
[
"Li",
"Bo",
""
],
[
"Kang",
"Jiawen",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Xie",
"Shengli",
""
],
[
"Wu",
"Yi",
""
]
] | With the gradual popularization of self-driving, it is becoming increasingly important for vehicles to smartly make the right driving decisions and autonomously obey traffic rules by correctly recognizing traffic signs. However, for machine learning-based traffic sign recognition on the Internet of Vehicles (IoV), a la... |
1606.02503 | Po-Yen Chen | Po-Yen Chen and Chorng-Shyong Ong | The Development Strategy of IT Capability: A Contingency Perspective | ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on
Information Systems 2015 (arXiv:1605.01032) | null | null | ACIS/2015/174 | cs.CY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This study proposes a conceptual model to link IT capabilities, industry
types, and value implications. We attempt to use a contingency analysis to
theorize that which types of IT capabilities (e.g., externally-focused,
internally-focused, and aggregate IT capability) should a firm develop and then
what benefits (e.g... | [
{
"created": "Wed, 8 Jun 2016 10:51:35 GMT",
"version": "v1"
}
] | 2016-06-09 | [
[
"Chen",
"Po-Yen",
""
],
[
"Ong",
"Chorng-Shyong",
""
]
] | This study proposes a conceptual model to link IT capabilities, industry types, and value implications. We attempt to use a contingency analysis to theorize that which types of IT capabilities (e.g., externally-focused, internally-focused, and aggregate IT capability) should a firm develop and then what benefits (e.g.,... |
2208.02892 | Julian Kates-Harbeck | Julian Kates-Harbeck, Martin A. Nowak | Trust based attachment | null | null | 10.1371/journal.pone.0288142 | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | In social systems subject to indirect reciprocity, a positive reputation is
key for increasing one's likelihood of future positive interactions. The flow
of gossip can amplify the impact of a person's actions on their reputation
depending on how widely it spreads across the social network, which leads to a
percolatio... | [
{
"created": "Thu, 4 Aug 2022 21:27:13 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Aug 2023 07:03:00 GMT",
"version": "v2"
}
] | 2023-08-30 | [
[
"Kates-Harbeck",
"Julian",
""
],
[
"Nowak",
"Martin A.",
""
]
] | In social systems subject to indirect reciprocity, a positive reputation is key for increasing one's likelihood of future positive interactions. The flow of gossip can amplify the impact of a person's actions on their reputation depending on how widely it spreads across the social network, which leads to a percolation ... |
2103.09882 | Yosi Keller | Shakediel Hiba and Yosi Keller | Hierarchical Attention-based Age Estimation and Bias Estimation | 11 pages, 7 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this work we propose a novel deep-learning approach for age estimation
based on face images. We first introduce a dual image augmentation-aggregation
approach based on attention. This allows the network to jointly utilize
multiple face image augmentations whose embeddings are aggregated by a
Transformer-Encoder. T... | [
{
"created": "Wed, 17 Mar 2021 19:41:34 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Sep 2023 21:26:08 GMT",
"version": "v2"
}
] | 2023-09-29 | [
[
"Hiba",
"Shakediel",
""
],
[
"Keller",
"Yosi",
""
]
] | In this work we propose a novel deep-learning approach for age estimation based on face images. We first introduce a dual image augmentation-aggregation approach based on attention. This allows the network to jointly utilize multiple face image augmentations whose embeddings are aggregated by a Transformer-Encoder. The... |
2207.00708 | Ziwen Han | Ziwen Han, Evgeniya Gorobets, Pan Chen | Parameter efficient dendritic-tree neurons outperform perceptrons | null | null | null | null | cs.NE cs.LG | http://creativecommons.org/licenses/by/4.0/ | Biological neurons are more powerful than artificial perceptrons, in part due
to complex dendritic input computations. Inspired to empower the perceptron
with biologically inspired features, we explore the effect of adding and tuning
input branching factors along with input dropout. This allows for parameter
efficien... | [
{
"created": "Sat, 2 Jul 2022 01:22:39 GMT",
"version": "v1"
}
] | 2022-07-05 | [
[
"Han",
"Ziwen",
""
],
[
"Gorobets",
"Evgeniya",
""
],
[
"Chen",
"Pan",
""
]
] | Biological neurons are more powerful than artificial perceptrons, in part due to complex dendritic input computations. Inspired to empower the perceptron with biologically inspired features, we explore the effect of adding and tuning input branching factors along with input dropout. This allows for parameter efficient ... |
2212.03669 | Iztok Fister | Iztok Fister Jr. and Du\v{s}an Fister and Iztok Fister and Vili
Podgorelec and Sancho Salcedo-Sanz | Time series numerical association rule mining variants in smart
agriculture | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Numerical association rule mining offers a very efficient way of mining
association rules, where algorithms can operate directly with categorical and
numerical attributes. These methods are suitable for mining different
transaction databases, where data are entered sequentially. However, little
attention has been pai... | [
{
"created": "Wed, 7 Dec 2022 14:35:23 GMT",
"version": "v1"
}
] | 2022-12-08 | [
[
"Fister",
"Iztok",
"Jr."
],
[
"Fister",
"Dušan",
""
],
[
"Fister",
"Iztok",
""
],
[
"Podgorelec",
"Vili",
""
],
[
"Salcedo-Sanz",
"Sancho",
""
]
] | Numerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These methods are suitable for mining different transaction databases, where data are entered sequentially. However, little attention has been paid ... |
1609.06141 | Martin Danelljan | Martin Danelljan, Gustav H\"ager, Fahad Shahbaz Khan, Michael Felsberg | Discriminative Scale Space Tracking | To appear in TPAMI. This is the journal extension of the
VOT2014-winning DSST tracking method | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Accurate scale estimation of a target is a challenging research problem in
visual object tracking. Most state-of-the-art methods employ an exhaustive
scale search to estimate the target size. The exhaustive search strategy is
computationally expensive and struggles when encountered with large scale
variations. This p... | [
{
"created": "Tue, 20 Sep 2016 12:57:08 GMT",
"version": "v1"
}
] | 2016-09-21 | [
[
"Danelljan",
"Martin",
""
],
[
"Häger",
"Gustav",
""
],
[
"Khan",
"Fahad Shahbaz",
""
],
[
"Felsberg",
"Michael",
""
]
] | Accurate scale estimation of a target is a challenging research problem in visual object tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the target size. The exhaustive search strategy is computationally expensive and struggles when encountered with large scale variations. This pap... |
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