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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2202.06393 | Christina Pan | Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X.
Zhang, and Michael S. Bernstein | Comparing the Perceived Legitimacy of Content Moderation Processes:
Contractors, Algorithms, Expert Panels, and Digital Juries | This paper will appear at CSCW 2022 | null | 10.1145/3512929 | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | While research continues to investigate and improve the accuracy, fairness,
and normative appropriateness of content moderation processes on large social
media platforms, even the best process cannot be effective if users reject its
authority as illegitimate. We present a survey experiment comparing the
perceived ins... | [
{
"created": "Sun, 13 Feb 2022 19:32:49 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Oct 2022 05:09:21 GMT",
"version": "v2"
}
] | 2022-10-07 | [
[
"Pan",
"Christina A.",
""
],
[
"Yakhmi",
"Sahil",
""
],
[
"Iyer",
"Tara P.",
""
],
[
"Strasnick",
"Evan",
""
],
[
"Zhang",
"Amy X.",
""
],
[
"Bernstein",
"Michael S.",
""
]
] | While research continues to investigate and improve the accuracy, fairness, and normative appropriateness of content moderation processes on large social media platforms, even the best process cannot be effective if users reject its authority as illegitimate. We present a survey experiment comparing the perceived insti... |
1502.05256 | Peter Gloor | Peter Gloor, Patrick De Boer, Wei Lo, Stefan Wagner, Keiichi Nemoto,
and Hauke Fuehres | Cultural Anthropology Through the Lens of Wikipedia - A Comparison of
Historical Leadership Networks in the English, Chinese, Japanese and German
Wikipedia | Proceedings of the 5th International Conference on Collaborative
Innovation Networks COINs15, Tokyo, Japan March 12-14, 2015
(arXiv:1502.01142) | null | null | coins15/2015/04 | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the differences in historical worldview between
Western and Eastern cultures, represented through the English, Chinese,
Japanese, and German Wikipedia. In particular, we analyze the historical
networks of the World's leaders since the beginning of written history,
comparing them in the four dif... | [
{
"created": "Wed, 18 Feb 2015 14:45:18 GMT",
"version": "v1"
}
] | 2015-02-19 | [
[
"Gloor",
"Peter",
""
],
[
"De Boer",
"Patrick",
""
],
[
"Lo",
"Wei",
""
],
[
"Wagner",
"Stefan",
""
],
[
"Nemoto",
"Keiichi",
""
],
[
"Fuehres",
"Hauke",
""
]
] | In this paper we study the differences in historical worldview between Western and Eastern cultures, represented through the English, Chinese, Japanese, and German Wikipedia. In particular, we analyze the historical networks of the World's leaders since the beginning of written history, comparing them in the four diffe... |
2308.02213 | Tianhao Qi | Tianhao Qi, Hongtao Xie, Pandeng Li, Jiannan Ge, Yongdong Zhang | Balanced Classification: A Unified Framework for Long-Tailed Object
Detection | Accepted by IEEE Transactions on Multimedia, to be published; Code:
https://github.com/Tianhao-Qi/BACL | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conventional detectors suffer from performance degradation when dealing with
long-tailed data due to a classification bias towards the majority head
categories. In this paper, we contend that the learning bias originates from
two factors: 1) the unequal competition arising from the imbalanced
distribution of foregrou... | [
{
"created": "Fri, 4 Aug 2023 09:11:07 GMT",
"version": "v1"
}
] | 2023-08-07 | [
[
"Qi",
"Tianhao",
""
],
[
"Xie",
"Hongtao",
""
],
[
"Li",
"Pandeng",
""
],
[
"Ge",
"Jiannan",
""
],
[
"Zhang",
"Yongdong",
""
]
] | Conventional detectors suffer from performance degradation when dealing with long-tailed data due to a classification bias towards the majority head categories. In this paper, we contend that the learning bias originates from two factors: 1) the unequal competition arising from the imbalanced distribution of foreground... |
1810.02684 | Vahid Moosavi | Joao P. Leitao, Mohamed Zaghloul and Vahid Moosavi | Modeling overland flow from local inflows in almost no-time, using Self
Organizing Maps | null | null | null | null | cs.CY cs.CC cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physically-based overland flow models are computationally demanding,
hindering their use for real-time applications. Therefore, the development of
fast (and reasonably accurate) overland flow models is needed if they are to be
used to support flood mitigation decision making. In this study, we investigate
the potenti... | [
{
"created": "Sun, 23 Sep 2018 18:54:29 GMT",
"version": "v1"
}
] | 2018-10-08 | [
[
"Leitao",
"Joao P.",
""
],
[
"Zaghloul",
"Mohamed",
""
],
[
"Moosavi",
"Vahid",
""
]
] | Physically-based overland flow models are computationally demanding, hindering their use for real-time applications. Therefore, the development of fast (and reasonably accurate) overland flow models is needed if they are to be used to support flood mitigation decision making. In this study, we investigate the potential... |
2110.00199 | Ching-Hsun Tseng | Ching-Hsun. Tseng, Liu-Hsueh. Cheng, Shin-Jye. Lee, Xiaojun Zeng | Perturbated Gradients Updating within Unit Space for Deep Learning | null | null | 10.1109/IJCNN55064.2022.9892245 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In deep learning, optimization plays a vital role. By focusing on image
classification, this work investigates the pros and cons of the widely used
optimizers, and proposes a new optimizer: Perturbated Unit Gradient Descent
(PUGD) algorithm with extending normalized gradient operation in tensor within
perturbation to... | [
{
"created": "Fri, 1 Oct 2021 04:00:51 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Jan 2022 18:25:25 GMT",
"version": "v2"
}
] | 2022-11-10 | [
[
"Tseng",
"Ching-Hsun.",
""
],
[
"Cheng",
"Liu-Hsueh.",
""
],
[
"Lee",
"Shin-Jye.",
""
],
[
"Zeng",
"Xiaojun",
""
]
] | In deep learning, optimization plays a vital role. By focusing on image classification, this work investigates the pros and cons of the widely used optimizers, and proposes a new optimizer: Perturbated Unit Gradient Descent (PUGD) algorithm with extending normalized gradient operation in tensor within perturbation to u... |
1303.5705 | Jaume Agust\'i-Cullell | Jaume Agust\'i-Cullell, Francesc Esteva, Pere Garcia, Lluis Godo,
Carles Sierra | Combining Multiple-Valued Logics in Modular Expert Systems | Appears in Proceedings of the Seventh Conference on Uncertainty in
Artificial Intelligence (UAI1991) | null | null | UAI-P-1991-PG-17-25 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The way experts manage uncertainty usually changes depending on the task they
are performing. This fact has lead us to consider the problem of communicating
modules (task implementations) in a large and structured knowledge based system
when modules have different uncertainty calculi. In this paper, the analysis of
t... | [
{
"created": "Wed, 20 Mar 2013 15:29:35 GMT",
"version": "v1"
}
] | 2013-03-26 | [
[
"Agustí-Cullell",
"Jaume",
""
],
[
"Esteva",
"Francesc",
""
],
[
"Garcia",
"Pere",
""
],
[
"Godo",
"Lluis",
""
],
[
"Sierra",
"Carles",
""
]
] | The way experts manage uncertainty usually changes depending on the task they are performing. This fact has lead us to consider the problem of communicating modules (task implementations) in a large and structured knowledge based system when modules have different uncertainty calculi. In this paper, the analysis of the... |
1711.05938 | Yang Zhang | Zehui Xiong, Yang Zhang, Dusit Niyato, Ping Wang and Zhu Han | When Mobile Blockchain Meets Edge Computing | Accepted by IEEE Communications Magazine | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blockchain, as the backbone technology of the current popular Bitcoin digital
currency, has become a promising decentralized data management framework.
Although blockchain has been widely adopted in many applications, e.g.,
finance, healthcare, and logistics, its application in mobile services is still
limited. This ... | [
{
"created": "Thu, 16 Nov 2017 05:53:57 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Apr 2018 23:14:28 GMT",
"version": "v2"
}
] | 2018-04-13 | [
[
"Xiong",
"Zehui",
""
],
[
"Zhang",
"Yang",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Wang",
"Ping",
""
],
[
"Han",
"Zhu",
""
]
] | Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been widely adopted in many applications, e.g., finance, healthcare, and logistics, its application in mobile services is still limited. This is... |
1806.09566 | Arnaud Dethise | Arnaud Dethise, Marco Chiesa, Marco Canini | Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks | null | null | 10.1145/3232565.3232570 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software-Defined-eXchanges (SDXes) promise to tackle the timely quest of
bringing improving the inter-domain routing ecosystem through SDN deployment.
Yet, the naive deployment of SDN on the Internet raises concerns about the
correctness of the inter-domain data-plane. By allowing operators to deflect
traffic from th... | [
{
"created": "Mon, 25 Jun 2018 17:06:10 GMT",
"version": "v1"
}
] | 2018-06-26 | [
[
"Dethise",
"Arnaud",
""
],
[
"Chiesa",
"Marco",
""
],
[
"Canini",
"Marco",
""
]
] | Software-Defined-eXchanges (SDXes) promise to tackle the timely quest of bringing improving the inter-domain routing ecosystem through SDN deployment. Yet, the naive deployment of SDN on the Internet raises concerns about the correctness of the inter-domain data-plane. By allowing operators to deflect traffic from the ... |
2406.00021 | Arnav Goel | Medha Hira, Arnav Goel, Anubha Gupta | CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer
Learning | 8 pages, Accepted at ICLR 2024 - Tiny Track | null | null | null | cs.CL cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | This paper presents CrossVoice, a novel cascade-based Speech-to-Speech
Translation (S2ST) system employing advanced ASR, MT, and TTS technologies with
cross-lingual prosody preservation through transfer learning. We conducted
comprehensive experiments comparing CrossVoice with direct-S2ST systems,
showing improved BL... | [
{
"created": "Thu, 23 May 2024 20:30:54 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 05:26:48 GMT",
"version": "v2"
}
] | 2024-06-19 | [
[
"Hira",
"Medha",
""
],
[
"Goel",
"Arnav",
""
],
[
"Gupta",
"Anubha",
""
]
] | This paper presents CrossVoice, a novel cascade-based Speech-to-Speech Translation (S2ST) system employing advanced ASR, MT, and TTS technologies with cross-lingual prosody preservation through transfer learning. We conducted comprehensive experiments comparing CrossVoice with direct-S2ST systems, showing improved BLEU... |
2112.13982 | KitIan Kou | Juan Han, Kit Ian Kou, Jifei Miao | Quaternion-based dynamic mode decomposition for background modeling in
color videos | 16 pages | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene Background Initialization (SBI) is one of the challenging problems in
computer vision. Dynamic mode decomposition (DMD) is a recently proposed method
to robustly decompose a video sequence into the background model and the
corresponding foreground part. However, this method needs to convert the color
image into... | [
{
"created": "Tue, 28 Dec 2021 03:35:39 GMT",
"version": "v1"
}
] | 2021-12-30 | [
[
"Han",
"Juan",
""
],
[
"Kou",
"Kit Ian",
""
],
[
"Miao",
"Jifei",
""
]
] | Scene Background Initialization (SBI) is one of the challenging problems in computer vision. Dynamic mode decomposition (DMD) is a recently proposed method to robustly decompose a video sequence into the background model and the corresponding foreground part. However, this method needs to convert the color image into t... |
1507.05169 | Alexander Spiegelman | Alexander Spiegelman, Yuval Cassuto, Gregory Chockler, and Idit Keidar | Space Bounds for Reliable Storage: Fundamental Limits of Coding | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the inherent space requirements of shared storage algorithms in
asynchronous fault-prone systems. Previous works use codes to achieve a better
storage cost than the well-known replication approach. However, a closer look
reveals that they incur extra costs somewhere else: Some use unbounded storage
in commun... | [
{
"created": "Sat, 18 Jul 2015 10:25:18 GMT",
"version": "v1"
}
] | 2015-07-21 | [
[
"Spiegelman",
"Alexander",
""
],
[
"Cassuto",
"Yuval",
""
],
[
"Chockler",
"Gregory",
""
],
[
"Keidar",
"Idit",
""
]
] | We study the inherent space requirements of shared storage algorithms in asynchronous fault-prone systems. Previous works use codes to achieve a better storage cost than the well-known replication approach. However, a closer look reveals that they incur extra costs somewhere else: Some use unbounded storage in communic... |
1907.02678 | Jingling Yuan | Yang Cao, Jingling Yuan, Song Xiao, Qing Xie | TPM: A GPS-based Trajectory Pattern Mining System | null | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the development of big data and artificial intelligence, the technology
of urban computing becomes more mature and widely used. In urban computing,
using GPS-based trajectory data to discover urban dense areas, extract similar
urban trajectories, predict urban traffic, and solve traffic congestion
problems are a... | [
{
"created": "Fri, 5 Jul 2019 04:58:10 GMT",
"version": "v1"
}
] | 2019-07-08 | [
[
"Cao",
"Yang",
""
],
[
"Yuan",
"Jingling",
""
],
[
"Xiao",
"Song",
""
],
[
"Xie",
"Qing",
""
]
] | With the development of big data and artificial intelligence, the technology of urban computing becomes more mature and widely used. In urban computing, using GPS-based trajectory data to discover urban dense areas, extract similar urban trajectories, predict urban traffic, and solve traffic congestion problems are all... |
2306.04862 | Jingyue Li Prof. | Carl Smestad (1) and Jingyue Li (2) ((1) Norwegian University of
Science and Technology, (2) Norwegian University of Science and Technology) | A Systematic Literature Review on Client Selection in Federated Learning | null | null | 10.1145/3593434.3593438 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | With the arising concerns of privacy within machine learning, federated
learning (FL) was invented in 2017, in which the clients, such as mobile
devices, train a model and send the update to the centralized server. Choosing
clients randomly for FL can harm learning performance due to different reasons.
Many studies h... | [
{
"created": "Thu, 8 Jun 2023 01:26:22 GMT",
"version": "v1"
}
] | 2023-06-09 | [
[
"Smestad",
"Carl",
""
],
[
"Li",
"Jingyue",
""
]
] | With the arising concerns of privacy within machine learning, federated learning (FL) was invented in 2017, in which the clients, such as mobile devices, train a model and send the update to the centralized server. Choosing clients randomly for FL can harm learning performance due to different reasons. Many studies hav... |
2310.09749 | Yifeng Xiong | Yifeng Xiong, Fan Liu, Kai Wan, Weijie Yuan, Yuanhao Cui, and Giuseppe
Caire | From Torch to Projector: Fundamental Tradeoff of Integrated Sensing and
Communications | 15 pages, 11 figures, submitted to IEEE BITS the Information Theory
Magazine | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Sensing and communications (S&C) have been historically developed in
parallel. In recent decade, they have been evolving from separation to
integration, giving rise to the integrated sensing and communications (ISAC)
paradigm, that has been recognized as one of the six key 6G usage scenarios.
Despite the plethora of ... | [
{
"created": "Sun, 15 Oct 2023 06:14:49 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Oct 2023 12:30:20 GMT",
"version": "v2"
}
] | 2023-10-18 | [
[
"Xiong",
"Yifeng",
""
],
[
"Liu",
"Fan",
""
],
[
"Wan",
"Kai",
""
],
[
"Yuan",
"Weijie",
""
],
[
"Cui",
"Yuanhao",
""
],
[
"Caire",
"Giuseppe",
""
]
] | Sensing and communications (S&C) have been historically developed in parallel. In recent decade, they have been evolving from separation to integration, giving rise to the integrated sensing and communications (ISAC) paradigm, that has been recognized as one of the six key 6G usage scenarios. Despite the plethora of re... |
1610.05531 | Tobias Fiebig | Tobias Fiebig, Franziska Lichtblau, Florian Streibelt, Thorben
Krueger, Pieter Lexis, Randy Bush and Anja Feldmann | SoK: An Analysis of Protocol Design: Avoiding Traps for Implementation
and Deployment | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today's Internet utilizes a multitude of different protocols. While some of
these protocols were first implemented and used and later documented, other
were first specified and then implemented. Regardless of how protocols came to
be, their definitions can contain traps that lead to insecure implementations
or deploy... | [
{
"created": "Tue, 18 Oct 2016 10:57:22 GMT",
"version": "v1"
}
] | 2016-10-19 | [
[
"Fiebig",
"Tobias",
""
],
[
"Lichtblau",
"Franziska",
""
],
[
"Streibelt",
"Florian",
""
],
[
"Krueger",
"Thorben",
""
],
[
"Lexis",
"Pieter",
""
],
[
"Bush",
"Randy",
""
],
[
"Feldmann",
"Anja",
""
]
] | Today's Internet utilizes a multitude of different protocols. While some of these protocols were first implemented and used and later documented, other were first specified and then implemented. Regardless of how protocols came to be, their definitions can contain traps that lead to insecure implementations or deployme... |
2212.01365 | Hong Jun Jeon | Hong Jun Jeon, Benjamin Van Roy | An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We study the compute-optimal trade-off between model and training data set
sizes for large neural networks. Our result suggests a linear relation similar
to that supported by the empirical analysis of chinchilla. While that work
studies transformer-based large language models trained on the MassiveText
corpus gopher,... | [
{
"created": "Fri, 2 Dec 2022 18:46:41 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Oct 2023 20:53:04 GMT",
"version": "v2"
}
] | 2023-10-20 | [
[
"Jeon",
"Hong Jun",
""
],
[
"Van Roy",
"Benjamin",
""
]
] | We study the compute-optimal trade-off between model and training data set sizes for large neural networks. Our result suggests a linear relation similar to that supported by the empirical analysis of chinchilla. While that work studies transformer-based large language models trained on the MassiveText corpus gopher, a... |
2311.13168 | Jianwei Feng | Jianwei Feng and Prateek Singhal | 3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh
Rasterization | null | WACV 2024 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Style transfer for human face has been widely researched in recent years.
Majority of the existing approaches work in 2D image domain and have 3D
inconsistency issue when applied on different viewpoints of the same face. In
this paper, we tackle the problem of 3D face style transfer which aims at
generating stylized ... | [
{
"created": "Wed, 22 Nov 2023 05:24:35 GMT",
"version": "v1"
}
] | 2023-11-23 | [
[
"Feng",
"Jianwei",
""
],
[
"Singhal",
"Prateek",
""
]
] | Style transfer for human face has been widely researched in recent years. Majority of the existing approaches work in 2D image domain and have 3D inconsistency issue when applied on different viewpoints of the same face. In this paper, we tackle the problem of 3D face style transfer which aims at generating stylized no... |
1805.11384 | Bicheng Ying | Bicheng Ying and Kun Yuan and Ali H. Sayed | Supervised Learning Under Distributed Features | null | null | 10.1109/TSP.2018.2881661 | null | cs.MA cs.LG math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work studies the problem of learning under both large datasets and
large-dimensional feature space scenarios. The feature information is assumed
to be spread across agents in a network, where each agent observes some of the
features. Through local cooperation, the agents are supposed to interact with
each other ... | [
{
"created": "Tue, 29 May 2018 12:25:37 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Nov 2018 08:17:47 GMT",
"version": "v2"
},
{
"created": "Fri, 22 May 2020 18:06:47 GMT",
"version": "v3"
}
] | 2020-05-26 | [
[
"Ying",
"Bicheng",
""
],
[
"Yuan",
"Kun",
""
],
[
"Sayed",
"Ali H.",
""
]
] | This work studies the problem of learning under both large datasets and large-dimensional feature space scenarios. The feature information is assumed to be spread across agents in a network, where each agent observes some of the features. Through local cooperation, the agents are supposed to interact with each other to... |
1104.5059 | Mitchell Bloch | Mitchell Keith Bloch | Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement
Learning | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In experimenting with off-policy temporal difference (TD) methods in
hierarchical reinforcement learning (HRL) systems, we have observed unwanted
on-policy learning under reproducible conditions. Here we present modifications
to several TD methods that prevent unintentional on-policy learning from
occurring. These mo... | [
{
"created": "Wed, 27 Apr 2011 00:58:52 GMT",
"version": "v1"
}
] | 2015-03-19 | [
[
"Bloch",
"Mitchell Keith",
""
]
] | In experimenting with off-policy temporal difference (TD) methods in hierarchical reinforcement learning (HRL) systems, we have observed unwanted on-policy learning under reproducible conditions. Here we present modifications to several TD methods that prevent unintentional on-policy learning from occurring. These modi... |
2110.08616 | Zhihao Zhang | Zhihao Zhang, Zhihao Jia | GradSign: Model Performance Inference with Theoretical Insights | null | The Tenth International Conference on Learning Representations
(ICLR 2022) | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | A key challenge in neural architecture search (NAS) is quickly inferring the
predictive performance of a broad spectrum of networks to discover
statistically accurate and computationally efficient ones. We refer to this
task as model performance inference (MPI). The current practice for efficient
MPI is gradient-base... | [
{
"created": "Sat, 16 Oct 2021 17:03:10 GMT",
"version": "v1"
},
{
"created": "Sat, 18 Jun 2022 19:34:43 GMT",
"version": "v2"
}
] | 2022-06-22 | [
[
"Zhang",
"Zhihao",
""
],
[
"Jia",
"Zhihao",
""
]
] | A key challenge in neural architecture search (NAS) is quickly inferring the predictive performance of a broad spectrum of networks to discover statistically accurate and computationally efficient ones. We refer to this task as model performance inference (MPI). The current practice for efficient MPI is gradient-based ... |
1704.03225 | Lukas Mosser | Lukas Mosser, Olivier Dubrule, Martin J. Blunt | Reconstruction of three-dimensional porous media using generative
adversarial neural networks | 21 pages, 20 figures | Phys. Rev. E 96, 043309 (2017) | 10.1103/PhysRevE.96.043309 | null | cs.CV cond-mat.mtrl-sci physics.flu-dyn physics.geo-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To evaluate the variability of multi-phase flow properties of porous media at
the pore scale, it is necessary to acquire a number of representative samples
of the void-solid structure. While modern x-ray computer tomography has made it
possible to extract three-dimensional images of the pore space, assessment of
the ... | [
{
"created": "Tue, 11 Apr 2017 09:55:55 GMT",
"version": "v1"
}
] | 2017-11-01 | [
[
"Mosser",
"Lukas",
""
],
[
"Dubrule",
"Olivier",
""
],
[
"Blunt",
"Martin J.",
""
]
] | To evaluate the variability of multi-phase flow properties of porous media at the pore scale, it is necessary to acquire a number of representative samples of the void-solid structure. While modern x-ray computer tomography has made it possible to extract three-dimensional images of the pore space, assessment of the va... |
2204.04832 | Nina Klobas | Thekla Hamm and Nina Klobas and George B. Mertzios and Paul G.
Spirakis | The Complexity of Temporal Vertex Cover in Small-Degree Graphs | Changes to section 4.2.2 | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Temporal graphs naturally model graphs whose underlying topology changes over
time. Recently, the problems TEMPORAL VERTEX COVER (or TVC) and SLIDING-WINDOW
TEMPORAL VERTEX COVER(or $\Delta$-TVC for time-windows of a fixed-length
$\Delta$) have been established as natural extensions of the classic problem
VERTEX COVE... | [
{
"created": "Mon, 11 Apr 2022 02:31:00 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Mar 2024 06:21:45 GMT",
"version": "v2"
}
] | 2024-03-22 | [
[
"Hamm",
"Thekla",
""
],
[
"Klobas",
"Nina",
""
],
[
"Mertzios",
"George B.",
""
],
[
"Spirakis",
"Paul G.",
""
]
] | Temporal graphs naturally model graphs whose underlying topology changes over time. Recently, the problems TEMPORAL VERTEX COVER (or TVC) and SLIDING-WINDOW TEMPORAL VERTEX COVER(or $\Delta$-TVC for time-windows of a fixed-length $\Delta$) have been established as natural extensions of the classic problem VERTEX COVER ... |
2208.01892 | Andrea Fronzetti Colladon PhD | C. Piselli, A. Fronzetti Colladon, L. Segneri, A. L. Pisello | Evaluating and improving social awareness of energy communities through
semantic network analysis of online news | null | Renewable and Sustainable Energy Reviews 167, 112792 (2022) | 10.1016/j.rser.2022.112792 | null | cs.SI cs.CL physics.soc-ph | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The implementation of energy communities represents a cross-disciplinary
phenomenon that has the potential to support the energy transition while
fostering citizens' participation throughout the energy system and their
exploitation of renewables. An important role is played by online information
sources in engaging p... | [
{
"created": "Wed, 3 Aug 2022 07:43:31 GMT",
"version": "v1"
}
] | 2022-08-04 | [
[
"Piselli",
"C.",
""
],
[
"Colladon",
"A. Fronzetti",
""
],
[
"Segneri",
"L.",
""
],
[
"Pisello",
"A. L.",
""
]
] | The implementation of energy communities represents a cross-disciplinary phenomenon that has the potential to support the energy transition while fostering citizens' participation throughout the energy system and their exploitation of renewables. An important role is played by online information sources in engaging peo... |
2006.10643 | Nikolaos Karalias | Nikolaos Karalias, Andreas Loukas | Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial
Optimization on Graphs | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combinatorial optimization problems are notoriously challenging for neural
networks, especially in the absence of labeled instances. This work proposes an
unsupervised learning framework for CO problems on graphs that can provide
integral solutions of certified quality. Inspired by Erdos' probabilistic
method, we use... | [
{
"created": "Thu, 18 Jun 2020 16:13:36 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jun 2020 15:58:55 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Nov 2020 19:42:18 GMT",
"version": "v3"
},
{
"created": "Sun, 7 Mar 2021 20:10:53 GMT",
"version": "v4"
}
] | 2021-03-09 | [
[
"Karalias",
"Nikolaos",
""
],
[
"Loukas",
"Andreas",
""
]
] | Combinatorial optimization problems are notoriously challenging for neural networks, especially in the absence of labeled instances. This work proposes an unsupervised learning framework for CO problems on graphs that can provide integral solutions of certified quality. Inspired by Erdos' probabilistic method, we use a... |
2106.12131 | Mana Ihori | Mana Ihori, Naoki Makishima, Tomohiro Tanaka, Akihiko Takashima, Shota
Orihashi, Ryo Masumura | Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks
using Switching Tokens | Accepted at INTERSPEECH 2021 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel spoken-text-style conversion method that
can simultaneously execute multiple style conversion modules such as
punctuation restoration and disfluency deletion without preparing matched
datasets. In practice, transcriptions generated by automatic speech recognition
systems are not high... | [
{
"created": "Wed, 23 Jun 2021 02:53:14 GMT",
"version": "v1"
}
] | 2021-06-24 | [
[
"Ihori",
"Mana",
""
],
[
"Makishima",
"Naoki",
""
],
[
"Tanaka",
"Tomohiro",
""
],
[
"Takashima",
"Akihiko",
""
],
[
"Orihashi",
"Shota",
""
],
[
"Masumura",
"Ryo",
""
]
] | In this paper, we propose a novel spoken-text-style conversion method that can simultaneously execute multiple style conversion modules such as punctuation restoration and disfluency deletion without preparing matched datasets. In practice, transcriptions generated by automatic speech recognition systems are not highly... |
2007.13278 | R Devon Hjelm | R Devon Hjelm and Philip Bachman | Representation Learning with Video Deep InfoMax | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Self-supervised learning has made unsupervised pretraining relevant again for
difficult computer vision tasks. The most effective self-supervised methods
involve prediction tasks based on features extracted from diverse views of the
data. DeepInfoMax (DIM) is a self-supervised method which leverages the
internal stru... | [
{
"created": "Mon, 27 Jul 2020 02:28:47 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Jul 2020 01:27:14 GMT",
"version": "v2"
}
] | 2020-07-29 | [
[
"Hjelm",
"R Devon",
""
],
[
"Bachman",
"Philip",
""
]
] | Self-supervised learning has made unsupervised pretraining relevant again for difficult computer vision tasks. The most effective self-supervised methods involve prediction tasks based on features extracted from diverse views of the data. DeepInfoMax (DIM) is a self-supervised method which leverages the internal struct... |
1906.07930 | Jia-Wei Chen | Rongfang Wang, Jia-Wei Chen, Yule Wang, Licheng Jiao, Mi Wang | SAR Image Change Detection via Spatial Metric Learning with an Improved
Mahalanobis Distance | null | null | 10.1109/LGRS.2019.2915251 | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The log-ratio (LR) operator has been widely employed to generate the
difference image for synthetic aperture radar (SAR) image change detection.
However, the difference image generated by this pixel-wise operator can be
subject to SAR images speckle and unavoidable registration errors between
bitemporal SAR images. I... | [
{
"created": "Wed, 19 Jun 2019 06:10:58 GMT",
"version": "v1"
}
] | 2020-02-19 | [
[
"Wang",
"Rongfang",
""
],
[
"Chen",
"Jia-Wei",
""
],
[
"Wang",
"Yule",
""
],
[
"Jiao",
"Licheng",
""
],
[
"Wang",
"Mi",
""
]
] | The log-ratio (LR) operator has been widely employed to generate the difference image for synthetic aperture radar (SAR) image change detection. However, the difference image generated by this pixel-wise operator can be subject to SAR images speckle and unavoidable registration errors between bitemporal SAR images. In ... |
1806.08337 | Rena Bakhshi | Rena Bakhshi, Mary Hester, Jeroen Schot, Lode Kulik | Examining key features and platforms of IoT | 11 pages, 7 figures, technical report | null | 10.5281/zenodo.1296528 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | To help facilitate expertise in IoT technologies, NLeSC and SURF worked
together on a project focusing on IoT applications and platforms. The
information included in this case study show the results of NLeSC and SURF's
investigation, examining different features offered by cloud and
self-maintained IoT platforms with... | [
{
"created": "Thu, 21 Jun 2018 17:25:18 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Jun 2018 21:29:42 GMT",
"version": "v2"
}
] | 2018-06-26 | [
[
"Bakhshi",
"Rena",
""
],
[
"Hester",
"Mary",
""
],
[
"Schot",
"Jeroen",
""
],
[
"Kulik",
"Lode",
""
]
] | To help facilitate expertise in IoT technologies, NLeSC and SURF worked together on a project focusing on IoT applications and platforms. The information included in this case study show the results of NLeSC and SURF's investigation, examining different features offered by cloud and self-maintained IoT platforms with a... |
2310.13328 | Boqian Ma | Boqian Ma, Vir Nath Pathak, Lanping Liu, and Sushmita Ruj | One-Phase Batch Update on Sparse Merkle Trees for Rollups | 21 pages, 8 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A sparse Merkle tree is a Merkle tree with fixed height and indexed leaves
given by a map from indices to leaf values. It allows for both efficient
membership and non-membership proofs. It has been widely used as an
authenticated data structure in various applications, such as layer-2 rollups
for blockchains. zkSync ... | [
{
"created": "Fri, 20 Oct 2023 07:43:54 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Ma",
"Boqian",
""
],
[
"Pathak",
"Vir Nath",
""
],
[
"Liu",
"Lanping",
""
],
[
"Ruj",
"Sushmita",
""
]
] | A sparse Merkle tree is a Merkle tree with fixed height and indexed leaves given by a map from indices to leaf values. It allows for both efficient membership and non-membership proofs. It has been widely used as an authenticated data structure in various applications, such as layer-2 rollups for blockchains. zkSync Li... |
cs/0605016 | Yingbin Liang | Yingbin Liang and Venugopal V. Veeravalli | Cooperative Relay Broadcast Channels | Submitted to the IEEE Transactions on Information Theory, July 2005 | null | null | null | cs.IT math.IT | null | The capacity regions are investigated for two relay broadcast channels
(RBCs), where relay links are incorporated into standard two-user broadcast
channels to support user cooperation. In the first channel, the Partially
Cooperative Relay Broadcast Channel, only one user in the system can act as a
relay and transmit ... | [
{
"created": "Thu, 4 May 2006 19:13:50 GMT",
"version": "v1"
}
] | 2007-07-13 | [
[
"Liang",
"Yingbin",
""
],
[
"Veeravalli",
"Venugopal V.",
""
]
] | The capacity regions are investigated for two relay broadcast channels (RBCs), where relay links are incorporated into standard two-user broadcast channels to support user cooperation. In the first channel, the Partially Cooperative Relay Broadcast Channel, only one user in the system can act as a relay and transmit to... |
1603.02814 | Chunhua Shen | Qi Wu, Chunhua Shen, Anton van den Hengel, Peng Wang, Anthony Dick | Image Captioning and Visual Question Answering Based on Attributes and
External Knowledge | 14 pages. arXiv admin note: text overlap with arXiv:1511.06973 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Much recent progress in Vision-to-Language problems has been achieved through
a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural
Networks (RNNs). This approach does not explicitly represent high-level
semantic concepts, but rather seeks to progress directly from image features to
text. In this... | [
{
"created": "Wed, 9 Mar 2016 08:56:45 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Dec 2016 11:44:34 GMT",
"version": "v2"
}
] | 2016-12-19 | [
[
"Wu",
"Qi",
""
],
[
"Shen",
"Chunhua",
""
],
[
"Hengel",
"Anton van den",
""
],
[
"Wang",
"Peng",
""
],
[
"Dick",
"Anthony",
""
]
] | Much recent progress in Vision-to-Language problems has been achieved through a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). This approach does not explicitly represent high-level semantic concepts, but rather seeks to progress directly from image features to text. In this p... |
2405.08852 | Hao Wang | Hao Wang and Nao Li | A Click-Through Rate Prediction Method Based on Cross-Importance of
Multi-Order Features | null | null | null | null | cs.LG cs.AI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most current click-through rate prediction(CTR)models create explicit or
implicit high-order feature crosses through Hadamard product or inner product,
with little attention to the importance of feature crossing; only few models
are either limited to the second-order explicit feature crossing, implicitly to
high-orde... | [
{
"created": "Tue, 14 May 2024 16:05:57 GMT",
"version": "v1"
}
] | 2024-05-16 | [
[
"Wang",
"Hao",
""
],
[
"Li",
"Nao",
""
]
] | Most current click-through rate prediction(CTR)models create explicit or implicit high-order feature crosses through Hadamard product or inner product, with little attention to the importance of feature crossing; only few models are either limited to the second-order explicit feature crossing, implicitly to high-order ... |
0905.0315 | Lahatra Rakotondrainibe | Lahatra Rakotondrainibe (IETR), Yvan Kokar (IETR), Gheorghe Zaharia
(IETR), Gha\"is El Zein (IETR) | Millimeter-Wave System for High Data Rate Indoor Communications | 5 pages | ISSCS 2009, Iasi : Roumanie (2009) | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents the realization of a wireless Gigabit Ethernet
communication system operating in the 60 GHz band. The system architecture uses
a single carrier modulation. A differential encoded binary phase shift keying
modulation and a differential demodulation scheme are adopted for the
intermediate frequency ... | [
{
"created": "Mon, 4 May 2009 07:20:31 GMT",
"version": "v1"
}
] | 2010-11-10 | [
[
"Rakotondrainibe",
"Lahatra",
"",
"IETR"
],
[
"Kokar",
"Yvan",
"",
"IETR"
],
[
"Zaharia",
"Gheorghe",
"",
"IETR"
],
[
"Zein",
"Ghaïs El",
"",
"IETR"
]
] | This paper presents the realization of a wireless Gigabit Ethernet communication system operating in the 60 GHz band. The system architecture uses a single carrier modulation. A differential encoded binary phase shift keying modulation and a differential demodulation scheme are adopted for the intermediate frequency bl... |
2205.04410 | Sayan Biswas | Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi | Tight Differential Privacy Blanket for Shuffle Model | Extended Abstract | null | 10.1049/icp.2022.2041 | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | With the recent bloom of focus on digital economy, the importance of personal
data has seen a massive surge of late. Keeping pace with this trend, the model
of data market is starting to emerge as a process to obtain high-quality
personal information in exchange of incentives. To have a formal guarantee to
protect th... | [
{
"created": "Mon, 9 May 2022 16:35:54 GMT",
"version": "v1"
}
] | 2022-11-11 | [
[
"Biswas",
"Sayan",
""
],
[
"Jung",
"Kangsoo",
""
],
[
"Palamidessi",
"Catuscia",
""
]
] | With the recent bloom of focus on digital economy, the importance of personal data has seen a massive surge of late. Keeping pace with this trend, the model of data market is starting to emerge as a process to obtain high-quality personal information in exchange of incentives. To have a formal guarantee to protect the ... |
2206.14719 | Zifeng Wang | Zifeng Wang and Jimeng Sun | Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using
Self-Supervision | Findings of EMNLP 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Clinical trials are essential for drug development but are extremely
expensive and time-consuming to conduct. It is beneficial to study similar
historical trials when designing a clinical trial. However, lengthy trial
documents and lack of labeled data make trial similarity search difficult. We
propose a zero-shot cl... | [
{
"created": "Wed, 29 Jun 2022 15:37:11 GMT",
"version": "v1"
},
{
"created": "Sun, 9 Oct 2022 19:43:16 GMT",
"version": "v2"
}
] | 2022-10-11 | [
[
"Wang",
"Zifeng",
""
],
[
"Sun",
"Jimeng",
""
]
] | Clinical trials are essential for drug development but are extremely expensive and time-consuming to conduct. It is beneficial to study similar historical trials when designing a clinical trial. However, lengthy trial documents and lack of labeled data make trial similarity search difficult. We propose a zero-shot clin... |
1609.06204 | Alessio Palmero Aprosio | Alessio Palmero Aprosio and Giovanni Moretti | Italy goes to Stanford: a collection of CoreNLP modules for Italian | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this we paper present Tint, an easy-to-use set of fast, accurate and
extendable Natural Language Processing modules for Italian. It is based on
Stanford CoreNLP and is freely available as a standalone software or a library
that can be integrated in an existing project.
| [
{
"created": "Tue, 20 Sep 2016 14:53:05 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Apr 2017 08:33:33 GMT",
"version": "v2"
}
] | 2017-04-14 | [
[
"Aprosio",
"Alessio Palmero",
""
],
[
"Moretti",
"Giovanni",
""
]
] | In this we paper present Tint, an easy-to-use set of fast, accurate and extendable Natural Language Processing modules for Italian. It is based on Stanford CoreNLP and is freely available as a standalone software or a library that can be integrated in an existing project. |
1805.02008 | Xu Guo | Chang Liu, Yichao Zhu, Zhi Sun, Dingding Li, Zongliang Du, Weisheng
Zhang, Xu Guo | An efficient Moving Morphable Component (MMC)-based approach for
multi-resolution topology optimization | null | Structural and Multidisciplinary Optimization (2018) 58: 2455 | 10.1007/s00158-018-2114-0 | null | cs.CE cond-mat.mtrl-sci | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the present work, a highly efficient Moving Morphable Component (MMC)
based approach for multi-resolution topology optimization is proposed. In this
approach, high-resolution optimization results can be obtained with much less
number of degrees of freedoms (DOFs) and design variables since the finite
element analy... | [
{
"created": "Sat, 5 May 2018 05:38:53 GMT",
"version": "v1"
},
{
"created": "Sun, 8 Jul 2018 04:56:17 GMT",
"version": "v2"
}
] | 2018-12-10 | [
[
"Liu",
"Chang",
""
],
[
"Zhu",
"Yichao",
""
],
[
"Sun",
"Zhi",
""
],
[
"Li",
"Dingding",
""
],
[
"Du",
"Zongliang",
""
],
[
"Zhang",
"Weisheng",
""
],
[
"Guo",
"Xu",
""
]
] | In the present work, a highly efficient Moving Morphable Component (MMC) based approach for multi-resolution topology optimization is proposed. In this approach, high-resolution optimization results can be obtained with much less number of degrees of freedoms (DOFs) and design variables since the finite element analysi... |
1904.02141 | Yuying Zhu | Yuying Zhu, Guoxin Wang, B\"orje F. Karlsson | CAN-NER: Convolutional Attention Network for Chinese Named Entity
Recognition | This paper is accepted by NAACL-HLT 2019. The code is available at
https://github.com/microsoft/vert-papers/tree/master/papers/CAN-NER | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Named entity recognition (NER) in Chinese is essential but difficult because
of the lack of natural delimiters. Therefore, Chinese Word Segmentation (CWS)
is usually considered as the first step for Chinese NER. However, models based
on word-level embeddings and lexicon features often suffer from segmentation
errors ... | [
{
"created": "Wed, 3 Apr 2019 17:56:38 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Apr 2019 08:10:55 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Jul 2020 14:10:33 GMT",
"version": "v3"
}
] | 2020-07-16 | [
[
"Zhu",
"Yuying",
""
],
[
"Wang",
"Guoxin",
""
],
[
"Karlsson",
"Börje F.",
""
]
] | Named entity recognition (NER) in Chinese is essential but difficult because of the lack of natural delimiters. Therefore, Chinese Word Segmentation (CWS) is usually considered as the first step for Chinese NER. However, models based on word-level embeddings and lexicon features often suffer from segmentation errors an... |
1309.5316 | Brigitte Charnomordic | Aur\'elie Th\'ebaut (MISTEA), Thibault Scholash, Brigitte Charnomordic
(MISTEA), Nadine Hilgert (MISTEA) | A modeling approach to design a software sensor and analyze agronomical
features - Application to sap flow and grape quality relationship | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work proposes a framework using temporal data and domain knowledge in
order to analyze complex agronomical features. The expertise is first
formalized in an ontology, under the form of concepts and relationships between
them, and then used in conjunction with raw data and mathematical models to
design a software... | [
{
"created": "Fri, 20 Sep 2013 16:41:43 GMT",
"version": "v1"
}
] | 2013-09-23 | [
[
"Thébaut",
"Aurélie",
"",
"MISTEA"
],
[
"Scholash",
"Thibault",
"",
"MISTEA"
],
[
"Charnomordic",
"Brigitte",
"",
"MISTEA"
],
[
"Hilgert",
"Nadine",
"",
"MISTEA"
]
] | This work proposes a framework using temporal data and domain knowledge in order to analyze complex agronomical features. The expertise is first formalized in an ontology, under the form of concepts and relationships between them, and then used in conjunction with raw data and mathematical models to design a software s... |
1909.13708 | Rog\'erio De Lemos | Lionel Montrieux, Rogerio de Lemos, Chris Bailey | Engineering Self-adaptive Authorisation Infrastructures | A shorter version of the this paper appeared in: Montrieux L., de
Lemos R., Bailey C. (2019) Challenges in Engineering Self-Adaptive
Authorisation Infrastructures. In: Yu Y. et al. (eds) Engineering Adaptive
Software Systems. Springer, Singapore | null | 10.1007/978-981-13-2185-6_3 | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As organisations expand and interconnect, authorisation infrastructures
become increasingly difficult to manage. Several solutions have been proposed,
including self-adaptive authorisation, where the access control policies are
dynamically adapted at run-time to respond to misuse and malicious behaviour.
The ultimate... | [
{
"created": "Mon, 30 Sep 2019 13:59:09 GMT",
"version": "v1"
}
] | 2019-10-01 | [
[
"Montrieux",
"Lionel",
""
],
[
"de Lemos",
"Rogerio",
""
],
[
"Bailey",
"Chris",
""
]
] | As organisations expand and interconnect, authorisation infrastructures become increasingly difficult to manage. Several solutions have been proposed, including self-adaptive authorisation, where the access control policies are dynamically adapted at run-time to respond to misuse and malicious behaviour. The ultimate g... |
2304.04005 | Seyed Mohammad Hosien Abedy Nejad | Seyed Mohammad Hossein Abedy Nejad, Mohammad Amin Behzadi, Abdolrahim
Taheri | A new transformation for embedded convolutional neural network approach
toward real-time servo motor overload fault-detection | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Overloading in DC servo motors is a major concern in industries, as many
companies face the problem of finding expert operators, and also human
monitoring may not be an effective solution. Therefore, this paper proposed an
embedded Artificial intelligence (AI) approach using a Convolutional Neural
Network (CNN) using... | [
{
"created": "Sat, 8 Apr 2023 13:36:33 GMT",
"version": "v1"
}
] | 2023-04-11 | [
[
"Nejad",
"Seyed Mohammad Hossein Abedy",
""
],
[
"Behzadi",
"Mohammad Amin",
""
],
[
"Taheri",
"Abdolrahim",
""
]
] | Overloading in DC servo motors is a major concern in industries, as many companies face the problem of finding expert operators, and also human monitoring may not be an effective solution. Therefore, this paper proposed an embedded Artificial intelligence (AI) approach using a Convolutional Neural Network (CNN) using a... |
2005.07959 | Benedek Rozemberczki | Benedek Rozemberczki and Rik Sarkar | Characteristic Functions on Graphs: Birds of a Feather, from Statistical
Descriptors to Parametric Models | Source code is available at:
https://github.com/benedekrozemberczki/FEATHER | CIKM 2020 | null | null | cs.LG cs.DM cs.SI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a flexible notion of characteristic functions
defined on graph vertices to describe the distribution of vertex features at
multiple scales. We introduce FEATHER, a computationally efficient algorithm to
calculate a specific variant of these characteristic functions where the
probability weig... | [
{
"created": "Sat, 16 May 2020 11:47:05 GMT",
"version": "v1"
},
{
"created": "Sun, 16 Aug 2020 16:21:09 GMT",
"version": "v2"
}
] | 2020-08-18 | [
[
"Rozemberczki",
"Benedek",
""
],
[
"Sarkar",
"Rik",
""
]
] | In this paper, we propose a flexible notion of characteristic functions defined on graph vertices to describe the distribution of vertex features at multiple scales. We introduce FEATHER, a computationally efficient algorithm to calculate a specific variant of these characteristic functions where the probability weight... |
1809.10636 | Anoop Toffy | Chae Young Lee, Anoop Toffy, Gue Jun Jung, Woo-Jin Han | Conditional WaveGAN | Preprint | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Generative models are successfully used for image synthesis in the recent
years. But when it comes to other modalities like audio, text etc little
progress has been made. Recent works focus on generating audio from a
generative model in an unsupervised setting. We explore the possibility of
using generative models co... | [
{
"created": "Thu, 27 Sep 2018 16:56:23 GMT",
"version": "v1"
}
] | 2018-09-30 | [
[
"Lee",
"Chae Young",
""
],
[
"Toffy",
"Anoop",
""
],
[
"Jung",
"Gue Jun",
""
],
[
"Han",
"Woo-Jin",
""
]
] | Generative models are successfully used for image synthesis in the recent years. But when it comes to other modalities like audio, text etc little progress has been made. Recent works focus on generating audio from a generative model in an unsupervised setting. We explore the possibility of using generative models cond... |
1501.01829 | Or Ordentlich | Or Ordentlich and Uri Erez | Performance Analysis and Optimal Filter Design for Sigma-Delta
Modulation via Duality with DPCM | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sampling above the Nyquist rate is at the heart of sigma-delta modulation,
where the increase in sampling rate is translated to a reduction in the overall
(mean-squared-error) reconstruction distortion. This is attained by using a
feedback filter at the encoder, in conjunction with a low-pass filter at the
decoder. T... | [
{
"created": "Thu, 8 Jan 2015 13:14:40 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jun 2015 17:10:44 GMT",
"version": "v2"
}
] | 2015-06-10 | [
[
"Ordentlich",
"Or",
""
],
[
"Erez",
"Uri",
""
]
] | Sampling above the Nyquist rate is at the heart of sigma-delta modulation, where the increase in sampling rate is translated to a reduction in the overall (mean-squared-error) reconstruction distortion. This is attained by using a feedback filter at the encoder, in conjunction with a low-pass filter at the decoder. The... |
2009.14737 | Keyu Tian | Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang | Improving Auto-Augment via Augmentation-Wise Weight Sharing | Accepted to NeurIPS 2020 (Poster) | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recent progress on automatically searching augmentation policies has
boosted the performance substantially for various tasks. A key component of
automatic augmentation search is the evaluation process for a particular
augmentation policy, which is utilized to return reward and usually runs
thousands of times. A p... | [
{
"created": "Wed, 30 Sep 2020 15:23:12 GMT",
"version": "v1"
},
{
"created": "Thu, 22 Oct 2020 15:12:47 GMT",
"version": "v2"
}
] | 2020-10-23 | [
[
"Tian",
"Keyu",
""
],
[
"Lin",
"Chen",
""
],
[
"Sun",
"Ming",
""
],
[
"Zhou",
"Luping",
""
],
[
"Yan",
"Junjie",
""
],
[
"Ouyang",
"Wanli",
""
]
] | The recent progress on automatically searching augmentation policies has boosted the performance substantially for various tasks. A key component of automatic augmentation search is the evaluation process for a particular augmentation policy, which is utilized to return reward and usually runs thousands of times. A pla... |
2104.03071 | Vijit Malik | Aditya Jindal, Ankur Gupta, Jaya Srivastava, Preeti Menghwani, Vijit
Malik, Vishesh Kaushik, Ashutosh Modi | BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and
Evidence Finding with Tables | Accepted at SemEval 2021 Task 9, 11 Pages (8 Pages main content+ 1
pages for references + 2 Pages Appendix) | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Recently, there has been an interest in factual verification and prediction
over structured data like tables and graphs. To circumvent any false news
incident, it is necessary to not only model and predict over structured data
efficiently but also to explain those predictions. In this paper, as part of
the SemEval-20... | [
{
"created": "Wed, 7 Apr 2021 11:41:07 GMT",
"version": "v1"
},
{
"created": "Sat, 10 Apr 2021 10:08:47 GMT",
"version": "v2"
}
] | 2021-04-13 | [
[
"Jindal",
"Aditya",
""
],
[
"Gupta",
"Ankur",
""
],
[
"Srivastava",
"Jaya",
""
],
[
"Menghwani",
"Preeti",
""
],
[
"Malik",
"Vijit",
""
],
[
"Kaushik",
"Vishesh",
""
],
[
"Modi",
"Ashutosh",
""
]
] | Recently, there has been an interest in factual verification and prediction over structured data like tables and graphs. To circumvent any false news incident, it is necessary to not only model and predict over structured data efficiently but also to explain those predictions. In this paper, as part of the SemEval-2021... |
2408.07614 | Sergei Vassilvitskii | Kareem Amin, Alex Kulesza, Sergei Vassilvitskii | Practical Considerations for Differential Privacy | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Differential privacy is the gold standard for statistical data release. Used
by governments, companies, and academics, its mathematically rigorous
guarantees and worst-case assumptions on the strength and knowledge of
attackers make it a robust and compelling framework for reasoning about
privacy. However, even with ... | [
{
"created": "Wed, 14 Aug 2024 15:28:28 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Amin",
"Kareem",
""
],
[
"Kulesza",
"Alex",
""
],
[
"Vassilvitskii",
"Sergei",
""
]
] | Differential privacy is the gold standard for statistical data release. Used by governments, companies, and academics, its mathematically rigorous guarantees and worst-case assumptions on the strength and knowledge of attackers make it a robust and compelling framework for reasoning about privacy. However, even with la... |
2311.18402 | Xinwei Fu | Dan Song, Xinwei Fu, Weizhi Nie, Wenhui Li, Lanjun Wang, You Yang,
Anan Liu | MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale pre-trained models have demonstrated impressive performance in
vision and language tasks within open-world scenarios. Due to the lack of
comparable pre-trained models for 3D shapes, recent methods utilize
language-image pre-training to realize zero-shot 3D shape recognition. However,
due to the modality g... | [
{
"created": "Thu, 30 Nov 2023 09:51:53 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Apr 2024 08:57:35 GMT",
"version": "v2"
}
] | 2024-04-18 | [
[
"Song",
"Dan",
""
],
[
"Fu",
"Xinwei",
""
],
[
"Nie",
"Weizhi",
""
],
[
"Li",
"Wenhui",
""
],
[
"Wang",
"Lanjun",
""
],
[
"Yang",
"You",
""
],
[
"Liu",
"Anan",
""
]
] | Large-scale pre-trained models have demonstrated impressive performance in vision and language tasks within open-world scenarios. Due to the lack of comparable pre-trained models for 3D shapes, recent methods utilize language-image pre-training to realize zero-shot 3D shape recognition. However, due to the modality gap... |
1902.08915 | Yiwei Zhang | Yiwei Zhang, Chunbiao Zhu, Ge Li, Yuan Zhao, Haifeng Shen | Bi-Skip: A Motion Deblurring Network Using Self-paced Learning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A fast and effective motion deblurring method has great application values in
real life. This work presents an innovative approach in which a self-paced
learning is combined with GAN to deblur image. First, We explain that a proper
generator can be used as deep priors and point out that the solution for
pixel-based l... | [
{
"created": "Sun, 24 Feb 2019 10:28:04 GMT",
"version": "v1"
}
] | 2019-02-26 | [
[
"Zhang",
"Yiwei",
""
],
[
"Zhu",
"Chunbiao",
""
],
[
"Li",
"Ge",
""
],
[
"Zhao",
"Yuan",
""
],
[
"Shen",
"Haifeng",
""
]
] | A fast and effective motion deblurring method has great application values in real life. This work presents an innovative approach in which a self-paced learning is combined with GAN to deblur image. First, We explain that a proper generator can be used as deep priors and point out that the solution for pixel-based los... |
1801.04510 | Jia Wu | Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui | Brain EEG Time Series Selection: A Novel Graph-Based Approach for
Classification | 9 pages, 5 figures, Accepted by SDM-2018 | null | null | null | cs.LG q-bio.NC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Brain Electroencephalography (EEG) classification is widely applied to
analyze cerebral diseases in recent years. Unfortunately, invalid/noisy EEGs
degrade the diagnosis performance and most previously developed methods ignore
the necessity of EEG selection for classification. To this end, this paper
proposes a novel... | [
{
"created": "Sun, 14 Jan 2018 04:51:22 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Feb 2018 06:19:21 GMT",
"version": "v2"
}
] | 2018-02-12 | [
[
"Dai",
"Chenglong",
""
],
[
"Wu",
"Jia",
""
],
[
"Pi",
"Dechang",
""
],
[
"Cui",
"Lin",
""
]
] | Brain Electroencephalography (EEG) classification is widely applied to analyze cerebral diseases in recent years. Unfortunately, invalid/noisy EEGs degrade the diagnosis performance and most previously developed methods ignore the necessity of EEG selection for classification. To this end, this paper proposes a novel m... |
1203.0439 | Pierre de Leusse | Pierre de Leusse, Panos Periorellis, Theo Dimitrakos and Srijith K.
Nair | Self Managed Security Cell, a security model for the Internet of Things
and Services | null | The First International Conference on Advances in Future Internet,
AFIN 2009, IEEE Computer Society, June 18-23, 2009, Athens/Vouliagmeni,
Greece, Best paper award | 10.1109/AFIN.2009.15 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Internet of Things and Services is a rapidly growing concept that
illustrates that the ever increasing amount of physical items of our daily life
which become addressable through a network could be made more easily manageable
and usable through the use of Services. This surge of exposed resources along
with the l... | [
{
"created": "Fri, 2 Mar 2012 12:17:20 GMT",
"version": "v1"
}
] | 2012-03-05 | [
[
"de Leusse",
"Pierre",
""
],
[
"Periorellis",
"Panos",
""
],
[
"Dimitrakos",
"Theo",
""
],
[
"Nair",
"Srijith K.",
""
]
] | The Internet of Things and Services is a rapidly growing concept that illustrates that the ever increasing amount of physical items of our daily life which become addressable through a network could be made more easily manageable and usable through the use of Services. This surge of exposed resources along with the lev... |
1912.03673 | Matthias Rottmann | Matthias Rottmann, Kira Maag, Robin Chan, Fabian H\"uger, Peter
Schlicht, Hanno Gottschalk | Detection of False Positive and False Negative Samples in Semantic
Segmentation | null | null | null | null | cs.CV cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, deep learning methods have outperformed other methods in
image recognition. This has fostered imagination of potential application of
deep learning technology including safety relevant applications like the
interpretation of medical images or autonomous driving. The passage from
assistance of a human... | [
{
"created": "Sun, 8 Dec 2019 13:04:06 GMT",
"version": "v1"
}
] | 2019-12-10 | [
[
"Rottmann",
"Matthias",
""
],
[
"Maag",
"Kira",
""
],
[
"Chan",
"Robin",
""
],
[
"Hüger",
"Fabian",
""
],
[
"Schlicht",
"Peter",
""
],
[
"Gottschalk",
"Hanno",
""
]
] | In recent years, deep learning methods have outperformed other methods in image recognition. This has fostered imagination of potential application of deep learning technology including safety relevant applications like the interpretation of medical images or autonomous driving. The passage from assistance of a human d... |
2103.17252 | Giulia Dominijanni | Giulia Dominijanni, Solaiman Shokur, Gionata Salvietti, Sarah Buehler,
Erica Palmerini, Simone Rossi, Frederique De Vignemont, Andrea D'Avella,
Tamar R. Makin, Domenico Prattichizzo, Silvestro Micera | Enhancing human bodies with extra robotic arms and fingers: The Neural
Resource Allocation Problem | null | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | The emergence of robot-based body augmentation promises exciting innovations
that will inform robotics, human-machine interaction, and wearable electronics.
Even though augmentative devices like extra robotic arms and fingers in many
ways build on restorative technologies, they introduce unique challenges for
bidirec... | [
{
"created": "Wed, 31 Mar 2021 17:54:13 GMT",
"version": "v1"
}
] | 2021-04-01 | [
[
"Dominijanni",
"Giulia",
""
],
[
"Shokur",
"Solaiman",
""
],
[
"Salvietti",
"Gionata",
""
],
[
"Buehler",
"Sarah",
""
],
[
"Palmerini",
"Erica",
""
],
[
"Rossi",
"Simone",
""
],
[
"De Vignemont",
"Frederique",
... | The emergence of robot-based body augmentation promises exciting innovations that will inform robotics, human-machine interaction, and wearable electronics. Even though augmentative devices like extra robotic arms and fingers in many ways build on restorative technologies, they introduce unique challenges for bidirecti... |
2307.11654 | H\'ector Carri\'on | H\'ector Carri\'on, Narges Norouzi | FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation
and Malignancy Classification | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Skin diseases affect millions of people worldwide, across all ethnicities.
Increasing diagnosis accessibility requires fair and accurate segmentation and
classification of dermatology images. However, the scarcity of annotated
medical images, especially for rare diseases and underrepresented skin tones,
poses a chall... | [
{
"created": "Fri, 21 Jul 2023 15:42:01 GMT",
"version": "v1"
}
] | 2023-07-24 | [
[
"Carrión",
"Héctor",
""
],
[
"Norouzi",
"Narges",
""
]
] | Skin diseases affect millions of people worldwide, across all ethnicities. Increasing diagnosis accessibility requires fair and accurate segmentation and classification of dermatology images. However, the scarcity of annotated medical images, especially for rare diseases and underrepresented skin tones, poses a challen... |
1808.00923 | Valeria Vignudelli | Filippo Bonchi, Ana Sokolova, Valeria Vignudelli | The Theory of Traces for Systems with Nondeterminism, Probability, and
Termination | null | Logical Methods in Computer Science, Volume 18, Issue 2 (June 17,
2022) lmcs:6261 | 10.46298/lmcs-18(2:21)2022 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | This paper studies trace-based equivalences for systems combining
nondeterministic and probabilistic choices. We show how trace semantics for
such processes can be recovered by instantiating a coalgebraic construction
known as the generalised powerset construction. We characterise and compare the
resulting semantics ... | [
{
"created": "Thu, 2 Aug 2018 17:19:29 GMT",
"version": "v1"
},
{
"created": "Sat, 11 Aug 2018 14:01:53 GMT",
"version": "v2"
},
{
"created": "Tue, 15 Jan 2019 11:44:53 GMT",
"version": "v3"
},
{
"created": "Wed, 1 Apr 2020 11:07:38 GMT",
"version": "v4"
},
{
"cre... | 2023-06-22 | [
[
"Bonchi",
"Filippo",
""
],
[
"Sokolova",
"Ana",
""
],
[
"Vignudelli",
"Valeria",
""
]
] | This paper studies trace-based equivalences for systems combining nondeterministic and probabilistic choices. We show how trace semantics for such processes can be recovered by instantiating a coalgebraic construction known as the generalised powerset construction. We characterise and compare the resulting semantics to... |
2107.01428 | Konrad Dabrowski | Konrad K. Dabrowski and Peter Jonsson and Sebastian Ordyniak and
George Osipov | Solving Infinite-Domain CSPs Using the Patchwork Property | 34 pages, 2 figures. Parts of this article appeared in the
proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI
2021) | null | null | null | cs.AI cs.CC cs.DS cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The constraint satisfaction problem (CSP) has important applications in
computer science and AI. In particular, infinite-domain CSPs have been
intensively used in subareas of AI such as spatio-temporal reasoning. Since
constraint satisfaction is a computationally hard problem, much work has been
devoted to identifyin... | [
{
"created": "Sat, 3 Jul 2021 13:04:41 GMT",
"version": "v1"
}
] | 2021-07-06 | [
[
"Dabrowski",
"Konrad K.",
""
],
[
"Jonsson",
"Peter",
""
],
[
"Ordyniak",
"Sebastian",
""
],
[
"Osipov",
"George",
""
]
] | The constraint satisfaction problem (CSP) has important applications in computer science and AI. In particular, infinite-domain CSPs have been intensively used in subareas of AI such as spatio-temporal reasoning. Since constraint satisfaction is a computationally hard problem, much work has been devoted to identifying ... |
2208.14586 | Yasunori Ishii Mr | Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita | Few-shot Adaptive Object Detection with Cross-Domain CutMix | Yuzuru Nakamura and Yasunori Ishii are equal contribution | null | null | null | cs.CV stat.ML | http://creativecommons.org/licenses/by/4.0/ | In object detection, data amount and cost are a trade-off, and collecting a
large amount of data in a specific domain is labor intensive. Therefore,
existing large-scale datasets are used for pre-training. However, conventional
transfer learning and domain adaptation cannot bridge the domain gap when the
target domai... | [
{
"created": "Wed, 31 Aug 2022 01:26:10 GMT",
"version": "v1"
}
] | 2022-09-01 | [
[
"Nakamura",
"Yuzuru",
""
],
[
"Ishii",
"Yasunori",
""
],
[
"Maruyama",
"Yuki",
""
],
[
"Yamashita",
"Takayoshi",
""
]
] | In object detection, data amount and cost are a trade-off, and collecting a large amount of data in a specific domain is labor intensive. Therefore, existing large-scale datasets are used for pre-training. However, conventional transfer learning and domain adaptation cannot bridge the domain gap when the target domain ... |
2001.06626 | Hengyi Cai | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao,
Dawei Yin | Adaptive Parameterization for Neural Dialogue Generation | Published as a long paper in EMNLP 2019 | null | 10.18653/v1/D19-1188 | null | cs.CL cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural conversation systems generate responses based on the
sequence-to-sequence (SEQ2SEQ) paradigm. Typically, the model is equipped with
a single set of learned parameters to generate responses for given input
contexts. When confronting diverse conversations, its adaptability is rather
limited and the model is henc... | [
{
"created": "Sat, 18 Jan 2020 08:18:19 GMT",
"version": "v1"
}
] | 2020-01-22 | [
[
"Cai",
"Hengyi",
""
],
[
"Chen",
"Hongshen",
""
],
[
"Zhang",
"Cheng",
""
],
[
"Song",
"Yonghao",
""
],
[
"Zhao",
"Xiaofang",
""
],
[
"Yin",
"Dawei",
""
]
] | Neural conversation systems generate responses based on the sequence-to-sequence (SEQ2SEQ) paradigm. Typically, the model is equipped with a single set of learned parameters to generate responses for given input contexts. When confronting diverse conversations, its adaptability is rather limited and the model is hence ... |
1612.05794 | Zeeshan Malik Khawar | Zeeshan Khawar Malik, Zain U. Hussain, Ziad Kobti, Charlie W. Lees,
Newton Howard and Amir Hussain | A new recurrent neural network based predictive model for Faecal
Calprotectin analysis: A retrospective study | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Faecal Calprotectin (FC) is a surrogate marker for intestinal inflammation,
termed Inflammatory Bowel Disease (IBD), but not for cancer. In this
retrospective study of 804 patients, an enhanced benchmark predictive model for
analyzing FC is developed, based on a novel state-of-the-art Echo State Network
(ESN), an adv... | [
{
"created": "Sat, 17 Dec 2016 17:01:08 GMT",
"version": "v1"
}
] | 2016-12-20 | [
[
"Malik",
"Zeeshan Khawar",
""
],
[
"Hussain",
"Zain U.",
""
],
[
"Kobti",
"Ziad",
""
],
[
"Lees",
"Charlie W.",
""
],
[
"Howard",
"Newton",
""
],
[
"Hussain",
"Amir",
""
]
] | Faecal Calprotectin (FC) is a surrogate marker for intestinal inflammation, termed Inflammatory Bowel Disease (IBD), but not for cancer. In this retrospective study of 804 patients, an enhanced benchmark predictive model for analyzing FC is developed, based on a novel state-of-the-art Echo State Network (ESN), an advan... |
2105.06575 | Daniel Larraz | Daniel Larraz, Micka\"el Laurent, Cesare Tinelli | Merit and Blame Assignment with Kind 2 | null | null | null | null | cs.LO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We introduce two new major features of the open-source model checker Kind 2
which provide traceability information between specification and design
elements such as assumptions, guarantees, or other behavioral constraints in
synchronous reactive system models. This new version of Kind 2 can identify
minimal sets of d... | [
{
"created": "Thu, 13 May 2021 22:40:09 GMT",
"version": "v1"
}
] | 2021-05-17 | [
[
"Larraz",
"Daniel",
""
],
[
"Laurent",
"Mickaël",
""
],
[
"Tinelli",
"Cesare",
""
]
] | We introduce two new major features of the open-source model checker Kind 2 which provide traceability information between specification and design elements such as assumptions, guarantees, or other behavioral constraints in synchronous reactive system models. This new version of Kind 2 can identify minimal sets of des... |
2405.14078 | Han-Dong Lim | Han-Dong Lim, Donghwan Lee | A finite time analysis of distributed Q-learning | null | null | null | null | cs.AI cs.LG cs.MA | http://creativecommons.org/licenses/by/4.0/ | Multi-agent reinforcement learning (MARL) has witnessed a remarkable surge in
interest, fueled by the empirical success achieved in applications of
single-agent reinforcement learning (RL). In this study, we consider a
distributed Q-learning scenario, wherein a number of agents cooperatively solve
a sequential decisi... | [
{
"created": "Thu, 23 May 2024 00:52:38 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Lim",
"Han-Dong",
""
],
[
"Lee",
"Donghwan",
""
]
] | Multi-agent reinforcement learning (MARL) has witnessed a remarkable surge in interest, fueled by the empirical success achieved in applications of single-agent reinforcement learning (RL). In this study, we consider a distributed Q-learning scenario, wherein a number of agents cooperatively solve a sequential decision... |
2207.12939 | Kai H\"appeler | Senay Cakir, Marcel Gau{\ss}, Kai H\"appeler, Yassine Ounajjar, Fabian
Heinle and Reiner Marchthaler | Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset
Generation, Perspective Comparison, and Real-Time Capability | 8 pages, 7 figures, 9 tables | null | null | null | cs.CV cs.AI cs.RO | http://creativecommons.org/licenses/by-sa/4.0/ | Environmental perception is an important aspect within the field of
autonomous vehicles that provides crucial information about the driving domain,
including but not limited to identifying clear driving areas and surrounding
obstacles. Semantic segmentation is a widely used perception method for
self-driving cars tha... | [
{
"created": "Tue, 26 Jul 2022 14:45:44 GMT",
"version": "v1"
}
] | 2022-07-27 | [
[
"Cakir",
"Senay",
""
],
[
"Gauß",
"Marcel",
""
],
[
"Häppeler",
"Kai",
""
],
[
"Ounajjar",
"Yassine",
""
],
[
"Heinle",
"Fabian",
""
],
[
"Marchthaler",
"Reiner",
""
]
] | Environmental perception is an important aspect within the field of autonomous vehicles that provides crucial information about the driving domain, including but not limited to identifying clear driving areas and surrounding obstacles. Semantic segmentation is a widely used perception method for self-driving cars that ... |
1109.2112 | Andrew King | Maria Chudnovsky, Andrew D. King, Matthieu Plumettaz and Paul Seymour | A local strengthening of Reed's {\omega}, \Delta, {\chi} conjecture for
quasi-line graphs | 18 pages, 1 figure | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reed's $\omega$, $\Delta$, $\chi$ conjecture proposes that every graph
satisfies $\chi\leq \lceil\frac 12(\Delta+1+\omega)\rceil$; it is known to hold
for all claw-free graphs. In this paper we consider a local strengthening of
this conjecture. We prove the local strengthening for line graphs, then note
that previous... | [
{
"created": "Fri, 9 Sep 2011 19:58:34 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Nov 2011 01:00:08 GMT",
"version": "v2"
}
] | 2011-11-30 | [
[
"Chudnovsky",
"Maria",
""
],
[
"King",
"Andrew D.",
""
],
[
"Plumettaz",
"Matthieu",
""
],
[
"Seymour",
"Paul",
""
]
] | Reed's $\omega$, $\Delta$, $\chi$ conjecture proposes that every graph satisfies $\chi\leq \lceil\frac 12(\Delta+1+\omega)\rceil$; it is known to hold for all claw-free graphs. In this paper we consider a local strengthening of this conjecture. We prove the local strengthening for line graphs, then note that previous r... |
2009.10444 | Manuel Aiple | Manuel Aiple, Andre Schiele and Frans C.T. van der Helm | Self-Adapting Variable Impedance Actuator Control for Precision and
Dynamic Tasks | 12 pages, 13 figures, submitted to IEEE Transactions on Haptics | null | null | null | cs.RO cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variable impedance actuators (VIAs) as tool devices for teleoperation could
extend the range of tasks that humans can perform through a teleoperated robot
by mimicking the change of upper limb stiffness that humans perform for
different tasks, increasing the dynamic range of the robot. This requires
appropriate imped... | [
{
"created": "Tue, 22 Sep 2020 10:51:59 GMT",
"version": "v1"
}
] | 2020-09-23 | [
[
"Aiple",
"Manuel",
""
],
[
"Schiele",
"Andre",
""
],
[
"van der Helm",
"Frans C. T.",
""
]
] | Variable impedance actuators (VIAs) as tool devices for teleoperation could extend the range of tasks that humans can perform through a teleoperated robot by mimicking the change of upper limb stiffness that humans perform for different tasks, increasing the dynamic range of the robot. This requires appropriate impedan... |
1803.00047 | Myle Ott | Myle Ott and Michael Auli and David Grangier and Marc'Aurelio Ranzato | Analyzing Uncertainty in Neural Machine Translation | ICML 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine translation is a popular test bed for research in neural
sequence-to-sequence models but despite much recent research, there is still a
lack of understanding of these models. Practitioners report performance
degradation with large beams, the under-estimation of rare words and a lack of
diversity in the final ... | [
{
"created": "Wed, 28 Feb 2018 19:33:24 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Mar 2018 15:10:32 GMT",
"version": "v2"
},
{
"created": "Tue, 12 Jun 2018 11:12:43 GMT",
"version": "v3"
},
{
"created": "Mon, 13 Aug 2018 17:13:23 GMT",
"version": "v4"
}
] | 2018-08-14 | [
[
"Ott",
"Myle",
""
],
[
"Auli",
"Michael",
""
],
[
"Grangier",
"David",
""
],
[
"Ranzato",
"Marc'Aurelio",
""
]
] | Machine translation is a popular test bed for research in neural sequence-to-sequence models but despite much recent research, there is still a lack of understanding of these models. Practitioners report performance degradation with large beams, the under-estimation of rare words and a lack of diversity in the final tr... |
2010.07990 | Adrian de Wynter | Adrian de Wynter | An Algorithm for Learning Smaller Representations of Models With Scarce
Data | Preprint. Under review | null | null | null | cs.LG cs.AI cs.DS | http://creativecommons.org/licenses/by/4.0/ | We present a greedy algorithm for solving binary classification problems in
situations where the dataset is either too small or not fully representative of
the problem being solved, and obtaining more data is not possible. This
algorithm is of particular interest when training small models that have
trouble generaliz... | [
{
"created": "Thu, 15 Oct 2020 19:17:51 GMT",
"version": "v1"
}
] | 2020-10-19 | [
[
"de Wynter",
"Adrian",
""
]
] | We present a greedy algorithm for solving binary classification problems in situations where the dataset is either too small or not fully representative of the problem being solved, and obtaining more data is not possible. This algorithm is of particular interest when training small models that have trouble generalizin... |
2111.11983 | Michael Raskin | Michael Raskin | Modular population protocols | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Population protocols are a model of distributed computation intended for the
study of networks of independent computing agents with dynamic communication
structure. Each agent has a finite number of states, and communication
opportunities occur nondeterministically, allowing the agents involved to
change their states... | [
{
"created": "Tue, 23 Nov 2021 16:24:45 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2024 16:50:03 GMT",
"version": "v2"
}
] | 2024-06-19 | [
[
"Raskin",
"Michael",
""
]
] | Population protocols are a model of distributed computation intended for the study of networks of independent computing agents with dynamic communication structure. Each agent has a finite number of states, and communication opportunities occur nondeterministically, allowing the agents involved to change their states b... |
1512.00242 | Haibing Wu | Haibing Wu and Xiaodong Gu | Towards Dropout Training for Convolutional Neural Networks | This paper has been published in Neural Networks,
http://www.sciencedirect.com/science/article/pii/S0893608015001446 | Neural Networks 71: 1-10 (2015) | 10.1016/j.neunet.2015.07.007 | null | cs.LG cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, dropout has seen increasing use in deep learning. For deep
convolutional neural networks, dropout is known to work well in fully-connected
layers. However, its effect in convolutional and pooling layers is still not
clear. This paper demonstrates that max-pooling dropout is equivalent to
randomly picking ac... | [
{
"created": "Tue, 1 Dec 2015 12:46:11 GMT",
"version": "v1"
}
] | 2015-12-02 | [
[
"Wu",
"Haibing",
""
],
[
"Gu",
"Xiaodong",
""
]
] | Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in convolutional and pooling layers is still not clear. This paper demonstrates that max-pooling dropout is equivalent to randomly picking acti... |
2404.08213 | Jaewook Lee | Jaewook Lee, Jun Wang, Elizabeth Brown, Liam Chu, Sebastian S.
Rodriguez, Jon E. Froehlich | GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun
Disambiguation in Wearable Augmented Reality | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Voice assistants (VAs) like Siri and Alexa are transforming human-computer
interaction; however, they lack awareness of users' spatiotemporal context,
resulting in limited performance and unnatural dialogue. We introduce
GazePointAR, a fully-functional context-aware VA for wearable augmented reality
that leverages ey... | [
{
"created": "Fri, 12 Apr 2024 02:50:43 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Lee",
"Jaewook",
""
],
[
"Wang",
"Jun",
""
],
[
"Brown",
"Elizabeth",
""
],
[
"Chu",
"Liam",
""
],
[
"Rodriguez",
"Sebastian S.",
""
],
[
"Froehlich",
"Jon E.",
""
]
] | Voice assistants (VAs) like Siri and Alexa are transforming human-computer interaction; however, they lack awareness of users' spatiotemporal context, resulting in limited performance and unnatural dialogue. We introduce GazePointAR, a fully-functional context-aware VA for wearable augmented reality that leverages eye ... |
2203.05085 | Aloni Cohen | Aloni Cohen, Moon Duchin, JN Matthews, Bhushan Suwal | Census TopDown: The Impacts of Differential Privacy on Redistricting | 2nd Symposium on Foundations of Responsible Computing (FORC 2021) | null | 10.4230/LIPIcs.FORC.2021.5 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The 2020 Decennial Census will be released with a new disclosure avoidance
system in place, putting differential privacy in the spotlight for a wide range
of data users. We consider several key applications of Census data in
redistricting, developing tools and demonstrations for practitioners who are
concerned about ... | [
{
"created": "Wed, 9 Mar 2022 23:28:53 GMT",
"version": "v1"
}
] | 2022-03-11 | [
[
"Cohen",
"Aloni",
""
],
[
"Duchin",
"Moon",
""
],
[
"Matthews",
"JN",
""
],
[
"Suwal",
"Bhushan",
""
]
] | The 2020 Decennial Census will be released with a new disclosure avoidance system in place, putting differential privacy in the spotlight for a wide range of data users. We consider several key applications of Census data in redistricting, developing tools and demonstrations for practitioners who are concerned about th... |
2012.03910 | Sebastian Biewer | Sebastian Biewer, Rayna Dimitrova, Michael Fries, Maciej Gazda, Thomas
Heinze, Holger Hermanns and Mohammad Reza Mousavi | Conformance Relations and Hyperproperties for Doping Detection in Time
and Space | null | Logical Methods in Computer Science, Volume 18, Issue 1 (January
19, 2022) lmcs:6963 | 10.46298/lmcs-18(1:14)2022 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We present a novel and generalised notion of doping cleanness for
cyber-physical systems that allows for perturbing the inputs and observing the
perturbed outputs both in the time- and value-domains. We instantiate our
definition using existing notions of conformance for cyber-physical systems. As
a formal basis for ... | [
{
"created": "Mon, 7 Dec 2020 18:41:17 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Jul 2021 15:40:23 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Jan 2022 09:01:15 GMT",
"version": "v3"
}
] | 2023-06-22 | [
[
"Biewer",
"Sebastian",
""
],
[
"Dimitrova",
"Rayna",
""
],
[
"Fries",
"Michael",
""
],
[
"Gazda",
"Maciej",
""
],
[
"Heinze",
"Thomas",
""
],
[
"Hermanns",
"Holger",
""
],
[
"Mousavi",
"Mohammad Reza",
""
... | We present a novel and generalised notion of doping cleanness for cyber-physical systems that allows for perturbing the inputs and observing the perturbed outputs both in the time- and value-domains. We instantiate our definition using existing notions of conformance for cyber-physical systems. As a formal basis for mo... |
2203.14825 | Richard Shaw | Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo
Perez-Pellitero | HDR Reconstruction from Bracketed Exposures and Events | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Reconstruction of high-quality HDR images is at the core of modern
computational photography. Significant progress has been made with multi-frame
HDR reconstruction methods, producing high-resolution, rich and accurate color
reconstructions with high-frequency details. However, they are still prone to
fail in dynamic... | [
{
"created": "Mon, 28 Mar 2022 15:04:41 GMT",
"version": "v1"
}
] | 2022-03-29 | [
[
"Shaw",
"Richard",
""
],
[
"Catley-Chandar",
"Sibi",
""
],
[
"Leonardis",
"Ales",
""
],
[
"Perez-Pellitero",
"Eduardo",
""
]
] | Reconstruction of high-quality HDR images is at the core of modern computational photography. Significant progress has been made with multi-frame HDR reconstruction methods, producing high-resolution, rich and accurate color reconstructions with high-frequency details. However, they are still prone to fail in dynamic o... |
2303.01181 | Maximilian Muschalik | Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke
H\"ullermeier | iSAGE: An Incremental Version of SAGE for Online Explanation on Data
Streams | null | null | 10.1007/978-3-031-43418-1_26 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Existing methods for explainable artificial intelligence (XAI), including
popular feature importance measures such as SAGE, are mostly restricted to the
batch learning scenario. However, machine learning is often applied in dynamic
environments, where data arrives continuously and learning must be done in an
online m... | [
{
"created": "Thu, 2 Mar 2023 11:51:54 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Jun 2023 18:10:04 GMT",
"version": "v2"
}
] | 2023-10-31 | [
[
"Muschalik",
"Maximilian",
""
],
[
"Fumagalli",
"Fabian",
""
],
[
"Hammer",
"Barbara",
""
],
[
"Hüllermeier",
"Eyke",
""
]
] | Existing methods for explainable artificial intelligence (XAI), including popular feature importance measures such as SAGE, are mostly restricted to the batch learning scenario. However, machine learning is often applied in dynamic environments, where data arrives continuously and learning must be done in an online man... |
1812.01393 | Yongchao Xu | Yongchao Xu, Yukang Wang, Wei Zhou, Yongpan Wang, Zhibo Yang, Xiang
Bai | TextField: Learning A Deep Direction Field for Irregular Scene Text
Detection | To appear in IEEE TIP | null | 10.1109/TIP.2019.2900589 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene text detection is an important step of scene text reading system. The
main challenges lie on significantly varied sizes and aspect ratios, arbitrary
orientations and shapes. Driven by recent progress in deep learning, impressive
performances have been achieved for multi-oriented text detection. Yet, the
perform... | [
{
"created": "Tue, 4 Dec 2018 13:12:58 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2019 06:18:33 GMT",
"version": "v2"
}
] | 2019-10-02 | [
[
"Xu",
"Yongchao",
""
],
[
"Wang",
"Yukang",
""
],
[
"Zhou",
"Wei",
""
],
[
"Wang",
"Yongpan",
""
],
[
"Yang",
"Zhibo",
""
],
[
"Bai",
"Xiang",
""
]
] | Scene text detection is an important step of scene text reading system. The main challenges lie on significantly varied sizes and aspect ratios, arbitrary orientations and shapes. Driven by recent progress in deep learning, impressive performances have been achieved for multi-oriented text detection. Yet, the performan... |
1912.03696 | Ziyang Fan | Xiao Han, Ziyang Fan, Chao Li, Zeyang Liu, L.Jay Guo | High-Freedom Inverse Design with Deep Neural Network for Metasurface
Filter in the Visible | null | null | null | null | cs.OH eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In order to obtain a metasurface structure capable of filtering the light of
a specific wavelength in the visible band, traditional method usually traverses
the space consisting of possible designs, searching for a potentially
satisfying device by performing iterative calculations to solve Maxwell's
equations. In thi... | [
{
"created": "Sun, 8 Dec 2019 15:28:36 GMT",
"version": "v1"
}
] | 2019-12-10 | [
[
"Han",
"Xiao",
""
],
[
"Fan",
"Ziyang",
""
],
[
"Li",
"Chao",
""
],
[
"Liu",
"Zeyang",
""
],
[
"Guo",
"L. Jay",
""
]
] | In order to obtain a metasurface structure capable of filtering the light of a specific wavelength in the visible band, traditional method usually traverses the space consisting of possible designs, searching for a potentially satisfying device by performing iterative calculations to solve Maxwell's equations. In this ... |
1205.2476 | Benoit Otjacques | Beno\^it Otjacques, Micka\"el Stefas, Ma\"el Cornil, Fernand Feltz | Open Data Visualization: Keeping Traces of the Exploration Process | Presented at the First International Workshop On Open Data, WOD-2012
(http://arxiv.org/abs/1204.3726) | null | null | WOD/2012/NANTES/1 | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a system to support the visual exploration of Open Data.
During his/her interactive experience with the graphics, the user can easily
store the current complete state of the visualization application (called a
viewpoint). Next, he/she can compose sequences of these viewpoints (called
scenarios) t... | [
{
"created": "Fri, 11 May 2012 10:46:50 GMT",
"version": "v1"
}
] | 2012-05-14 | [
[
"Otjacques",
"Benoît",
""
],
[
"Stefas",
"Mickaël",
""
],
[
"Cornil",
"Maël",
""
],
[
"Feltz",
"Fernand",
""
]
] | This paper describes a system to support the visual exploration of Open Data. During his/her interactive experience with the graphics, the user can easily store the current complete state of the visualization application (called a viewpoint). Next, he/she can compose sequences of these viewpoints (called scenarios) tha... |
1401.6333 | Yang Yu | Yang Yu and Hong Qian | The Sampling-and-Learning Framework: A Statistical View of Evolutionary
Algorithms | null | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evolutionary algorithms (EAs), a large class of general purpose optimization
algorithms inspired from the natural phenomena, are widely used in various
industrial optimizations and often show excellent performance. This paper
presents an attempt towards revealing their general power from a statistical
view of EAs. By... | [
{
"created": "Fri, 24 Jan 2014 13:10:11 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Apr 2014 14:29:27 GMT",
"version": "v2"
}
] | 2014-04-14 | [
[
"Yu",
"Yang",
""
],
[
"Qian",
"Hong",
""
]
] | Evolutionary algorithms (EAs), a large class of general purpose optimization algorithms inspired from the natural phenomena, are widely used in various industrial optimizations and often show excellent performance. This paper presents an attempt towards revealing their general power from a statistical view of EAs. By s... |
2408.00374 | Xi Chen | Xi Chen, Rahul Bhadani, Larry Head | Conformal Trajectory Prediction with Multi-View Data Integration in
Cooperative Driving | null | null | null | null | cs.AI cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Current research on trajectory prediction primarily relies on data collected
by onboard sensors of an ego vehicle. With the rapid advancement in connected
technologies, such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure
(V2I) communication, valuable information from alternate views becomes
accessible via ... | [
{
"created": "Thu, 1 Aug 2024 08:32:03 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Aug 2024 13:00:46 GMT",
"version": "v2"
}
] | 2024-08-05 | [
[
"Chen",
"Xi",
""
],
[
"Bhadani",
"Rahul",
""
],
[
"Head",
"Larry",
""
]
] | Current research on trajectory prediction primarily relies on data collected by onboard sensors of an ego vehicle. With the rapid advancement in connected technologies, such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, valuable information from alternate views becomes accessible via wi... |
1807.06414 | Mehdi Ben Lazreg | Mehdi Ben Lazreg, Morten Goodwin | Combining a Context Aware Neural Network with a Denoising Autoencoder
for Measuring String Similarities | null | null | null | null | cs.IR cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Measuring similarities between strings is central for many established and
fast growing research areas including information retrieval, biology, and
natural language processing. The traditional approach for string similarity
measurements is to define a metric over a word space that quantifies and sums
up the differen... | [
{
"created": "Mon, 16 Jul 2018 12:29:23 GMT",
"version": "v1"
}
] | 2018-08-20 | [
[
"Lazreg",
"Mehdi Ben",
""
],
[
"Goodwin",
"Morten",
""
]
] | Measuring similarities between strings is central for many established and fast growing research areas including information retrieval, biology, and natural language processing. The traditional approach for string similarity measurements is to define a metric over a word space that quantifies and sums up the difference... |
1402.5045 | Lucas Paletta | Nicolas Sabouret, Haza\"el Jones, Magalie Ochs, Mathieu Chollet,
Catherine Pelachaud | Expressing social attitudes in virtual agents for social training games | null | null | null | IDGEI/2014/11 | cs.HC cs.AI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The use of virtual agents in social coaching has increased rapidly in the
last decade. In order to train the user in different situations than can occur
in real life, the virtual agent should be able to express different social
attitudes. In this paper, we propose a model of social attitudes that enables a
virtual ag... | [
{
"created": "Thu, 20 Feb 2014 15:41:26 GMT",
"version": "v1"
}
] | 2014-02-21 | [
[
"Sabouret",
"Nicolas",
""
],
[
"Jones",
"Hazaël",
""
],
[
"Ochs",
"Magalie",
""
],
[
"Chollet",
"Mathieu",
""
],
[
"Pelachaud",
"Catherine",
""
]
] | The use of virtual agents in social coaching has increased rapidly in the last decade. In order to train the user in different situations than can occur in real life, the virtual agent should be able to express different social attitudes. In this paper, we propose a model of social attitudes that enables a virtual agen... |
1611.01769 | Dmitry Kosolobov | Dominik Kempa and Dmitry Kosolobov | LZ-End Parsing in Compressed Space | 12 pages, 4 figure | null | 10.1109/DCC.2017.73 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an algorithm that constructs the LZ-End parsing (a variation of
LZ77) of a given string of length $n$ in $O(n\log\ell)$ expected time and $O(z
+ \ell)$ space, where $z$ is the number of phrases in the parsing and $\ell$ is
the length of the longest phrase. As an option, we can fix $\ell$ (e.g., to the
size... | [
{
"created": "Sun, 6 Nov 2016 12:47:25 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Jun 2017 21:38:21 GMT",
"version": "v2"
}
] | 2020-12-15 | [
[
"Kempa",
"Dominik",
""
],
[
"Kosolobov",
"Dmitry",
""
]
] | We present an algorithm that constructs the LZ-End parsing (a variation of LZ77) of a given string of length $n$ in $O(n\log\ell)$ expected time and $O(z + \ell)$ space, where $z$ is the number of phrases in the parsing and $\ell$ is the length of the longest phrase. As an option, we can fix $\ell$ (e.g., to the size o... |
2403.11495 | Yile Chen | Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long | Semantic-Enhanced Representation Learning for Road Networks with
Temporal Dynamics | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, we introduce a novel framework called Toast for learning
general-purpose representations of road networks, along with its advanced
counterpart DyToast, designed to enhance the integration of temporal dynamics
to boost the performance of various time-sensitive downstream tasks.
Specifically, we propose ... | [
{
"created": "Mon, 18 Mar 2024 05:59:56 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Chen",
"Yile",
""
],
[
"Li",
"Xiucheng",
""
],
[
"Cong",
"Gao",
""
],
[
"Bao",
"Zhifeng",
""
],
[
"Long",
"Cheng",
""
]
] | In this study, we introduce a novel framework called Toast for learning general-purpose representations of road networks, along with its advanced counterpart DyToast, designed to enhance the integration of temporal dynamics to boost the performance of various time-sensitive downstream tasks. Specifically, we propose to... |
2106.12807 | Vijay Lingam | Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam | Simple Truncated SVD based Model for Node Classification on Heterophilic
Graphs | Accepted at Deep Learning on Graphs: Method and Applications (DLG-KDD
2021) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Neural Networks (GNNs) have shown excellent performance on graphs that
exhibit strong homophily with respect to the node labels i.e. connected nodes
have same labels. However, they perform poorly on heterophilic graphs. Recent
approaches have typically modified aggregation schemes, designed adaptive graph
filte... | [
{
"created": "Thu, 24 Jun 2021 07:48:18 GMT",
"version": "v1"
}
] | 2021-06-25 | [
[
"Lingam",
"Vijay",
""
],
[
"Ragesh",
"Rahul",
""
],
[
"Iyer",
"Arun",
""
],
[
"Sellamanickam",
"Sundararajan",
""
]
] | Graph Neural Networks (GNNs) have shown excellent performance on graphs that exhibit strong homophily with respect to the node labels i.e. connected nodes have same labels. However, they perform poorly on heterophilic graphs. Recent approaches have typically modified aggregation schemes, designed adaptive graph filters... |
2211.11154 | Wei Wei | Wei Wei, Daheng Li, Peng Wang, Yiming Li, Wanyi Li, Yongkang Luo, Jun
Zhong | DVGG: Deep Variational Grasp Generation for Dextrous Manipulation | Accepted by Robotics and Automation Letters (RA-L, 2021) | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Grasping with anthropomorphic robotic hands involves much more hand-object
interactions compared to parallel-jaw grippers. Modeling hand-object
interactions is essential to the study of multi-finger hand dextrous
manipulation. This work presents DVGG, an efficient grasp generation network
that takes single-view obser... | [
{
"created": "Mon, 21 Nov 2022 02:34:52 GMT",
"version": "v1"
}
] | 2022-11-22 | [
[
"Wei",
"Wei",
""
],
[
"Li",
"Daheng",
""
],
[
"Wang",
"Peng",
""
],
[
"Li",
"Yiming",
""
],
[
"Li",
"Wanyi",
""
],
[
"Luo",
"Yongkang",
""
],
[
"Zhong",
"Jun",
""
]
] | Grasping with anthropomorphic robotic hands involves much more hand-object interactions compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the study of multi-finger hand dextrous manipulation. This work presents DVGG, an efficient grasp generation network that takes single-view observa... |
2402.04453 | Tobias Vente | Tobias Vente, Joeran Beel | The Potential of AutoML for Recommender Systems | null | null | null | null | cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Automated Machine Learning (AutoML) has greatly advanced applications of
Machine Learning (ML) including model compression, machine translation, and
computer vision. Recommender Systems (RecSys) can be seen as an application of
ML. Yet, AutoML has found little attention in the RecSys community; nor has
RecSys found n... | [
{
"created": "Tue, 6 Feb 2024 22:42:28 GMT",
"version": "v1"
}
] | 2024-02-08 | [
[
"Vente",
"Tobias",
""
],
[
"Beel",
"Joeran",
""
]
] | Automated Machine Learning (AutoML) has greatly advanced applications of Machine Learning (ML) including model compression, machine translation, and computer vision. Recommender Systems (RecSys) can be seen as an application of ML. Yet, AutoML has found little attention in the RecSys community; nor has RecSys found not... |
2403.07573 | Masoud Shokrnezhad | Masoud Shokrnezhad, Hao Yu, Tarik Taleb, Richard Li, Kyunghan Lee,
Jaeseung Song, and Cedric Westphal | Towards a Dynamic Future with Adaptable Computing and Network
Convergence (ACNC) | null | null | null | null | cs.NI cs.AI cs.DC cs.ET cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the context of advancing 6G, a substantial paradigm shift is anticipated,
highlighting comprehensive everything-to-everything interactions characterized
by numerous connections and stringent adherence to Quality of
Service/Experience (QoS/E) prerequisites. The imminent challenge stems from
resource scarcity, promp... | [
{
"created": "Tue, 12 Mar 2024 12:03:16 GMT",
"version": "v1"
}
] | 2024-03-13 | [
[
"Shokrnezhad",
"Masoud",
""
],
[
"Yu",
"Hao",
""
],
[
"Taleb",
"Tarik",
""
],
[
"Li",
"Richard",
""
],
[
"Lee",
"Kyunghan",
""
],
[
"Song",
"Jaeseung",
""
],
[
"Westphal",
"Cedric",
""
]
] | In the context of advancing 6G, a substantial paradigm shift is anticipated, highlighting comprehensive everything-to-everything interactions characterized by numerous connections and stringent adherence to Quality of Service/Experience (QoS/E) prerequisites. The imminent challenge stems from resource scarcity, prompti... |
2106.06519 | Pakhi Bamdev | Karthik Ganesan, Pakhi Bamdev, Jaivarsan B, Amresh Venugopal, Abhinav
Tushar | N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR
Hypotheses | 6 pages, 3 figures, Accepted at ACL 2021 as a main conference paper | null | null | null | cs.CL cs.LG cs.SD eess.AS | http://creativecommons.org/licenses/by-sa/4.0/ | Spoken Language Understanding (SLU) systems parse speech into semantic
structures like dialog acts and slots. This involves the use of an Automatic
Speech Recognizer (ASR) to transcribe speech into multiple text alternatives
(hypotheses). Transcription errors, common in ASRs, impact downstream SLU
performance negativ... | [
{
"created": "Fri, 11 Jun 2021 17:29:00 GMT",
"version": "v1"
}
] | 2021-06-14 | [
[
"Ganesan",
"Karthik",
""
],
[
"Bamdev",
"Pakhi",
""
],
[
"B",
"Jaivarsan",
""
],
[
"Venugopal",
"Amresh",
""
],
[
"Tushar",
"Abhinav",
""
]
] | Spoken Language Understanding (SLU) systems parse speech into semantic structures like dialog acts and slots. This involves the use of an Automatic Speech Recognizer (ASR) to transcribe speech into multiple text alternatives (hypotheses). Transcription errors, common in ASRs, impact downstream SLU performance negativel... |
1504.01358 | Logan Washbourne | Logan Washbourne | A Survey of P2P Network Security | 12 pages, 6 figures | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a review of peer-to-peer network security. Popular for
sharing of multimedia files, these networks carry risks and vulnerabilities
relating to data integrity, spyware, adware, and unwanted files. Further
attacks include those of forgery, pollution, repudiation, membership and
Eclipse attacks, neig... | [
{
"created": "Mon, 6 Apr 2015 19:10:03 GMT",
"version": "v1"
}
] | 2015-04-07 | [
[
"Washbourne",
"Logan",
""
]
] | This paper presents a review of peer-to-peer network security. Popular for sharing of multimedia files, these networks carry risks and vulnerabilities relating to data integrity, spyware, adware, and unwanted files. Further attacks include those of forgery, pollution, repudiation, membership and Eclipse attacks, neighb... |
1912.02919 | Stephanie L. Hyland | Stephanie L. Hyland and Shruti Tople | An Empirical Study on the Intrinsic Privacy of SGD | 21 pages, 11 figures, 8 tables | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Introducing noise in the training of machine learning systems is a powerful
way to protect individual privacy via differential privacy guarantees, but
comes at a cost to utility. This work looks at whether the inherent randomness
of stochastic gradient descent (SGD) could contribute to privacy, effectively
reducing t... | [
{
"created": "Thu, 5 Dec 2019 23:28:05 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Mar 2020 16:08:31 GMT",
"version": "v2"
},
{
"created": "Thu, 25 Jun 2020 11:46:04 GMT",
"version": "v3"
},
{
"created": "Mon, 28 Feb 2022 10:28:07 GMT",
"version": "v4"
}
] | 2022-03-01 | [
[
"Hyland",
"Stephanie L.",
""
],
[
"Tople",
"Shruti",
""
]
] | Introducing noise in the training of machine learning systems is a powerful way to protect individual privacy via differential privacy guarantees, but comes at a cost to utility. This work looks at whether the inherent randomness of stochastic gradient descent (SGD) could contribute to privacy, effectively reducing the... |
1801.02442 | Ali Bereyhi | Ali Bereyhi, Mohammad Ali Sedaghat, Ralf R. M\"uller | Precoding via Approximate Message Passing with Instantaneous Signal
Constraints | 2018 International Zurich Seminar on Information and Communication
(IZS) 5 pages and 2 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a low complexity precoding algorithm based on the
recently proposed Generalized Least Square Error (GLSE) scheme with generic
penalty and support. The algorithm iteratively constructs the transmit vector
via Approximate Message Passing (AMP). Using the asymptotic decoupling property
of GLSE precod... | [
{
"created": "Mon, 8 Jan 2018 14:33:23 GMT",
"version": "v1"
}
] | 2018-01-09 | [
[
"Bereyhi",
"Ali",
""
],
[
"Sedaghat",
"Mohammad Ali",
""
],
[
"Müller",
"Ralf R.",
""
]
] | This paper proposes a low complexity precoding algorithm based on the recently proposed Generalized Least Square Error (GLSE) scheme with generic penalty and support. The algorithm iteratively constructs the transmit vector via Approximate Message Passing (AMP). Using the asymptotic decoupling property of GLSE precoder... |
2407.01717 | Ahmad AlMughrabi | Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva | VolETA: One- and Few-shot Food Volume Estimation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Accurate food volume estimation is essential for dietary assessment,
nutritional tracking, and portion control applications. We present VolETA, a
sophisticated methodology for estimating food volume using 3D generative
techniques. Our approach creates a scaled 3D mesh of food objects using one- or
few-RGBD images. We... | [
{
"created": "Mon, 1 Jul 2024 18:47:15 GMT",
"version": "v1"
}
] | 2024-07-03 | [
[
"AlMughrabi",
"Ahmad",
""
],
[
"Haroon",
"Umair",
""
],
[
"Marques",
"Ricardo",
""
],
[
"Radeva",
"Petia",
""
]
] | Accurate food volume estimation is essential for dietary assessment, nutritional tracking, and portion control applications. We present VolETA, a sophisticated methodology for estimating food volume using 3D generative techniques. Our approach creates a scaled 3D mesh of food objects using one- or few-RGBD images. We s... |
2212.11167 | Yunlong Lin | Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong | Continual Interactive Behavior Learning With Traffic Divergence
Measurement: A Dynamic Gradient Scenario Memory Approach | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Developing autonomous vehicles (AVs) helps improve the road safety and
traffic efficiency of intelligent transportation systems (ITS). Accurately
predicting the trajectories of traffic participants is essential to the
decision-making and motion planning of AVs in interactive scenarios. Recently,
learning-based trajec... | [
{
"created": "Wed, 21 Dec 2022 16:28:50 GMT",
"version": "v1"
}
] | 2022-12-22 | [
[
"Lin",
"Yunlong",
""
],
[
"Li",
"Zirui",
""
],
[
"Gong",
"Cheng",
""
],
[
"Lu",
"Chao",
""
],
[
"Wang",
"Xinwei",
""
],
[
"Gong",
"Jianwei",
""
]
] | Developing autonomous vehicles (AVs) helps improve the road safety and traffic efficiency of intelligent transportation systems (ITS). Accurately predicting the trajectories of traffic participants is essential to the decision-making and motion planning of AVs in interactive scenarios. Recently, learning-based trajecto... |
2107.10552 | Konstantinos Makantasis | Konstantinos Makantasis, David Melhart, Antonios Liapis, Georgios N.
Yannakakis | Privileged Information for Modeling Affect In The Wild | 8 pages, 4 figures, 2021 9th International Conference on Affective
Computing and Intelligent Interaction (ACII) | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A key challenge of affective computing research is discovering ways to
reliably transfer affect models that are built in the laboratory to real world
settings, namely in the wild. The existing gap between in vitro and in vivo
affect applications is mainly caused by limitations related to affect sensing
including intr... | [
{
"created": "Thu, 22 Jul 2021 10:09:16 GMT",
"version": "v1"
}
] | 2021-07-23 | [
[
"Makantasis",
"Konstantinos",
""
],
[
"Melhart",
"David",
""
],
[
"Liapis",
"Antonios",
""
],
[
"Yannakakis",
"Georgios N.",
""
]
] | A key challenge of affective computing research is discovering ways to reliably transfer affect models that are built in the laboratory to real world settings, namely in the wild. The existing gap between in vitro and in vivo affect applications is mainly caused by limitations related to affect sensing including intrus... |
2206.04381 | Zheng Chang | Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, and Wen Gao | STIP: A SpatioTemporal Information-Preserving and Perception-Augmented
Model for High-Resolution Video Prediction | This journal paper is extended from our previous work accepted in
CVPR2022 and has been submitted to IEEE Transactions on Multimedia | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Although significant achievements have been achieved by recurrent neural
network (RNN) based video prediction methods, their performance in datasets
with high resolutions is still far from satisfactory because of the information
loss problem and the perception-insensitive mean square error (MSE) based loss
functions.... | [
{
"created": "Thu, 9 Jun 2022 09:49:04 GMT",
"version": "v1"
}
] | 2022-06-10 | [
[
"Chang",
"Zheng",
""
],
[
"Zhang",
"Xinfeng",
""
],
[
"Wang",
"Shanshe",
""
],
[
"Ma",
"Siwei",
""
],
[
"Gao",
"Wen",
""
]
] | Although significant achievements have been achieved by recurrent neural network (RNN) based video prediction methods, their performance in datasets with high resolutions is still far from satisfactory because of the information loss problem and the perception-insensitive mean square error (MSE) based loss functions. I... |
2310.14450 | Hans Hanley | Hans W. A. Hanley, Zakir Durumeric | TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings | Accepted to EMNLP 2023; Updated citations | null | null | null | cs.CL cs.CY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stance detection is important for understanding different attitudes and
beliefs on the Internet. However, given that a passage's stance toward a given
topic is often highly dependent on that topic, building a stance detection
model that generalizes to unseen topics is difficult. In this work, we propose
using contras... | [
{
"created": "Sun, 22 Oct 2023 23:23:44 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Nov 2023 03:22:32 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Feb 2024 15:17:15 GMT",
"version": "v3"
}
] | 2024-02-09 | [
[
"Hanley",
"Hans W. A.",
""
],
[
"Durumeric",
"Zakir",
""
]
] | Stance detection is important for understanding different attitudes and beliefs on the Internet. However, given that a passage's stance toward a given topic is often highly dependent on that topic, building a stance detection model that generalizes to unseen topics is difficult. In this work, we propose using contrasti... |
1404.1518 | Aske Plaat | Aske Plaat, Jonathan Schaeffer, Wim Pijls, Arie de Bruin | Nearly Optimal Minimax Tree Search? | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Knuth and Moore presented a theoretical lower bound on the number of leaves
that any fixed-depth minimax tree-search algorithm traversing a uniform tree
must explore, the so-called minimal tree. Since real-life minimax trees are not
uniform, the exact size of this tree is not known for most applications.
Further, mos... | [
{
"created": "Sat, 5 Apr 2014 20:13:58 GMT",
"version": "v1"
}
] | 2014-04-08 | [
[
"Plaat",
"Aske",
""
],
[
"Schaeffer",
"Jonathan",
""
],
[
"Pijls",
"Wim",
""
],
[
"de Bruin",
"Arie",
""
]
] | Knuth and Moore presented a theoretical lower bound on the number of leaves that any fixed-depth minimax tree-search algorithm traversing a uniform tree must explore, the so-called minimal tree. Since real-life minimax trees are not uniform, the exact size of this tree is not known for most applications. Further, most ... |
2310.12755 | Yuanduo Hong | Yuanduo Hong, Jue Wang, Weichao Sun, and Huihui Pan | Minimalist and High-Performance Semantic Segmentation with Plain Vision
Transformers | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the wake of Masked Image Modeling (MIM), a diverse range of plain,
non-hierarchical Vision Transformer (ViT) models have been pre-trained with
extensive datasets, offering new paradigms and significant potential for
semantic segmentation. Current state-of-the-art systems incorporate numerous
inductive biases and e... | [
{
"created": "Thu, 19 Oct 2023 14:01:40 GMT",
"version": "v1"
}
] | 2023-10-20 | [
[
"Hong",
"Yuanduo",
""
],
[
"Wang",
"Jue",
""
],
[
"Sun",
"Weichao",
""
],
[
"Pan",
"Huihui",
""
]
] | In the wake of Masked Image Modeling (MIM), a diverse range of plain, non-hierarchical Vision Transformer (ViT) models have been pre-trained with extensive datasets, offering new paradigms and significant potential for semantic segmentation. Current state-of-the-art systems incorporate numerous inductive biases and emp... |
2106.11483 | Tong Guo | Tong Guo | A Comprehensive Comparison of Pre-training Language Models | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recently, the development of pre-trained language models has brought natural
language processing (NLP) tasks to the new state-of-the-art. In this paper we
explore the efficiency of various pre-trained language models. We pre-train a
list of transformer-based models with the same amount of text and the same
training s... | [
{
"created": "Tue, 22 Jun 2021 02:12:29 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Jul 2021 01:45:28 GMT",
"version": "v2"
},
{
"created": "Wed, 20 Oct 2021 06:33:06 GMT",
"version": "v3"
},
{
"created": "Fri, 12 Aug 2022 12:39:05 GMT",
"version": "v4"
},
{
"c... | 2023-07-27 | [
[
"Guo",
"Tong",
""
]
] | Recently, the development of pre-trained language models has brought natural language processing (NLP) tasks to the new state-of-the-art. In this paper we explore the efficiency of various pre-trained language models. We pre-train a list of transformer-based models with the same amount of text and the same training ste... |
2305.09933 | Steven Macenski | Steve Macenski, Alberto Soragna, Michael Carroll, Zhenpeng Ge | Impact of ROS 2 Node Composition in Robotic Systems | IEEE Robotics and Automation Letters, 2023 | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The Robot Operating System 2 (ROS 2) is the second generation of ROS
representing a step forward in the robotic framework. Several new types of
nodes and executor models are integral to control where, how, and when
information is processed in the computational graph. This paper explores and
benchmarks one of these ne... | [
{
"created": "Wed, 17 May 2023 03:39:32 GMT",
"version": "v1"
}
] | 2023-05-18 | [
[
"Macenski",
"Steve",
""
],
[
"Soragna",
"Alberto",
""
],
[
"Carroll",
"Michael",
""
],
[
"Ge",
"Zhenpeng",
""
]
] | The Robot Operating System 2 (ROS 2) is the second generation of ROS representing a step forward in the robotic framework. Several new types of nodes and executor models are integral to control where, how, and when information is processed in the computational graph. This paper explores and benchmarks one of these new ... |
2401.08179 | Christodoulos Peltekis | Christodoulos Peltekis, Vasileios Titopoulos, Chrysostomos Nicopoulos,
Giorgos Dimitrakopoulos | DeMM: A Decoupled Matrix Multiplication Engine Supporting Relaxed
Structured Sparsity | Accepted on the IEEE Computer Architecture Letters | null | 10.1109/LCA.2024.3355178 | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Learning (DL) has achieved unprecedented success in various application
domains. Meanwhile, model pruning has emerged as a viable solution to reduce
the footprint of DL models in mobile applications, without compromising their
accuracy. To enable the matrix engines built for dense DL models to also handle
their ... | [
{
"created": "Tue, 16 Jan 2024 07:51:15 GMT",
"version": "v1"
}
] | 2024-01-17 | [
[
"Peltekis",
"Christodoulos",
""
],
[
"Titopoulos",
"Vasileios",
""
],
[
"Nicopoulos",
"Chrysostomos",
""
],
[
"Dimitrakopoulos",
"Giorgos",
""
]
] | Deep Learning (DL) has achieved unprecedented success in various application domains. Meanwhile, model pruning has emerged as a viable solution to reduce the footprint of DL models in mobile applications, without compromising their accuracy. To enable the matrix engines built for dense DL models to also handle their pr... |
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