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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1407.7170 | Amir Leshem | Amir Leshem, Maziyar Hamdi, Vikram Krishnamurthy | Boundary value problems in consensus networks | Submitted for publication, Feb. 2014 | null | null | null | cs.SI cs.IT math.IT physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the effect of boundary value conditions on consensus
networks. Consider a network where some nodes keep their estimates constant
while other nodes average their estimates with that of their neighbors. We
analyze such networks and show that in contrast to standard consensus networks,
the network est... | [
{
"created": "Sun, 27 Jul 2014 00:27:42 GMT",
"version": "v1"
}
] | 2014-07-29 | [
[
"Leshem",
"Amir",
""
],
[
"Hamdi",
"Maziyar",
""
],
[
"Krishnamurthy",
"Vikram",
""
]
] | This paper studies the effect of boundary value conditions on consensus networks. Consider a network where some nodes keep their estimates constant while other nodes average their estimates with that of their neighbors. We analyze such networks and show that in contrast to standard consensus networks, the network estim... |
2210.00701 | Dan Qiao | Dan Qiao, Yu-Xiang Wang | Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning
with Linear Function Approximation | 48 pages | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of deployment efficient reinforcement learning (RL) with
linear function approximation under the \emph{reward-free} exploration setting.
This is a well-motivated problem because deploying new policies is costly in
real-life RL applications. Under the linear MDP setting with feature dimension
$d$ ... | [
{
"created": "Mon, 3 Oct 2022 03:48:26 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Feb 2023 00:33:11 GMT",
"version": "v2"
}
] | 2023-02-23 | [
[
"Qiao",
"Dan",
""
],
[
"Wang",
"Yu-Xiang",
""
]
] | We study the problem of deployment efficient reinforcement learning (RL) with linear function approximation under the \emph{reward-free} exploration setting. This is a well-motivated problem because deploying new policies is costly in real-life RL applications. Under the linear MDP setting with feature dimension $d$ an... |
2406.00002 | Manos Kamarianakis | Achilleas Filippidis, Nikolaos Marmaras, Michael Maravgakis, Alexandra
Plexousaki, Manos Kamarianakis, George Papagiannakis | VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill
Development | 10 pages, 14 figures, Acknowledgement Section updated | null | null | null | cs.RO cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contemporary progress in the field of robotics, marked by improved efficiency
and stability, has paved the way for the global adoption of surgical robotic
systems (SRS). While these systems enhance surgeons' skills by offering a more
accurate and less invasive approach to operations, they come at a considerable
cost.... | [
{
"created": "Sat, 4 May 2024 14:47:42 GMT",
"version": "v1"
},
{
"created": "Mon, 1 Jul 2024 14:41:04 GMT",
"version": "v2"
}
] | 2024-07-02 | [
[
"Filippidis",
"Achilleas",
""
],
[
"Marmaras",
"Nikolaos",
""
],
[
"Maravgakis",
"Michael",
""
],
[
"Plexousaki",
"Alexandra",
""
],
[
"Kamarianakis",
"Manos",
""
],
[
"Papagiannakis",
"George",
""
]
] | Contemporary progress in the field of robotics, marked by improved efficiency and stability, has paved the way for the global adoption of surgical robotic systems (SRS). While these systems enhance surgeons' skills by offering a more accurate and less invasive approach to operations, they come at a considerable cost. M... |
2011.07069 | Vigen Arakelyan | Jing Geng, Vigen Arakelian (LS2N, RoMas, INSA Rennes), Damien Chablat
(LS2N, ReV, CNRS) | Shaking Force Balancing of the Orthoglide | null | In: Zeghloul S., Laribi M., Sandoval Arevalo J. (eds) Advances in
Service and Industrial Robotics. RAAD 2020. Mechanisms and Machine Science,
vol 84. Springer, pp.227-234, 2020, 2211-0984 | 10.1007/978-3-030-48989-2_25 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The shaking force balancing is a well-known problem in the design of
high-speed robotic systems because the variable dynamic loads cause noises,
wear and fatigue of mechanical structures. Different solutions, for full or
partial shaking force balancing, via internal mass redistribution or by adding
auxiliary links we... | [
{
"created": "Fri, 13 Nov 2020 14:57:59 GMT",
"version": "v1"
}
] | 2020-11-17 | [
[
"Geng",
"Jing",
"",
"LS2N, RoMas, INSA Rennes"
],
[
"Arakelian",
"Vigen",
"",
"LS2N, RoMas, INSA Rennes"
],
[
"Chablat",
"Damien",
"",
"LS2N, ReV, CNRS"
]
] | The shaking force balancing is a well-known problem in the design of high-speed robotic systems because the variable dynamic loads cause noises, wear and fatigue of mechanical structures. Different solutions, for full or partial shaking force balancing, via internal mass redistribution or by adding auxiliary links were... |
2208.03526 | Zhikang Wang | Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard
Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song | Multiplex-detection Based Multiple Instance Learning Network for Whole
Slide Image Classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple instance learning (MIL) is a powerful approach to classify whole
slide images (WSIs) for diagnostic pathology. A fundamental challenge of MIL on
WSI classification is to discover the \textit{critical instances} that trigger
the bag label. However, previous methods are primarily designed under the
independent... | [
{
"created": "Sat, 6 Aug 2022 14:36:48 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Aug 2022 12:19:25 GMT",
"version": "v2"
},
{
"created": "Thu, 1 Sep 2022 03:55:04 GMT",
"version": "v3"
}
] | 2022-09-02 | [
[
"Wang",
"Zhikang",
""
],
[
"Bi",
"Yue",
""
],
[
"Pan",
"Tong",
""
],
[
"Wang",
"Xiaoyu",
""
],
[
"Bain",
"Chris",
""
],
[
"Bassed",
"Richard",
""
],
[
"Imoto",
"Seiya",
""
],
[
"Yao",
"Jianhua",... | Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology. A fundamental challenge of MIL on WSI classification is to discover the \textit{critical instances} that trigger the bag label. However, previous methods are primarily designed under the independent a... |
2304.00367 | Peter Du | Peter Du, Surya Murthy, Katherine Driggs-Campbell | Conveying Autonomous Robot Capabilities through Contrasting Behaviour
Summaries | null | null | null | null | cs.RO cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As advances in artificial intelligence enable increasingly capable
learning-based autonomous agents, it becomes more challenging for human
observers to efficiently construct a mental model of the agent's behaviour. In
order to successfully deploy autonomous agents, humans should not only be able
to understand the ind... | [
{
"created": "Sat, 1 Apr 2023 18:20:59 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"Du",
"Peter",
""
],
[
"Murthy",
"Surya",
""
],
[
"Driggs-Campbell",
"Katherine",
""
]
] | As advances in artificial intelligence enable increasingly capable learning-based autonomous agents, it becomes more challenging for human observers to efficiently construct a mental model of the agent's behaviour. In order to successfully deploy autonomous agents, humans should not only be able to understand the indiv... |
1908.09701 | Huan Zhao | Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee | Motif Enhanced Recommendation over Heterogeneous Information Network | CIKM 2019 camera ready version | null | null | null | cs.SI cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Heterogeneous Information Networks (HIN) has been widely used in recommender
systems (RSs). In previous HIN-based RSs, meta-path is used to compute the
similarity between users and items. However, existing meta-path based methods
only consider first-order relations, ignoring higher-order relations among the
nodes of ... | [
{
"created": "Mon, 26 Aug 2019 14:21:14 GMT",
"version": "v1"
}
] | 2019-08-27 | [
[
"Zhao",
"Huan",
""
],
[
"Zhou",
"Yingqi",
""
],
[
"Song",
"Yangqiu",
""
],
[
"Lee",
"Dik Lun",
""
]
] | Heterogeneous Information Networks (HIN) has been widely used in recommender systems (RSs). In previous HIN-based RSs, meta-path is used to compute the similarity between users and items. However, existing meta-path based methods only consider first-order relations, ignoring higher-order relations among the nodes of \t... |
1705.08339 | Carlos Mosquera | Carlos Mosquera, Roberto Lopez-Valcarce, Vahid Joroughi | Distributed Precoding Systems in Multi-Gateway Multibeam Satellites:
Regularization and Coarse Beamforming | Submitted to IEEE Transactions on Wireless Communications | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper deals with the problem of beamforming design in a multibeam
satellite, which is shared by different groups of terminals -clusters-, each
served by an Earth station or gateway. Each gateway precodes the symbols
addressed to its respective users; the design follows an MMSE criterion, and a
regularization fac... | [
{
"created": "Tue, 23 May 2017 14:57:48 GMT",
"version": "v1"
}
] | 2017-05-24 | [
[
"Mosquera",
"Carlos",
""
],
[
"Lopez-Valcarce",
"Roberto",
""
],
[
"Joroughi",
"Vahid",
""
]
] | This paper deals with the problem of beamforming design in a multibeam satellite, which is shared by different groups of terminals -clusters-, each served by an Earth station or gateway. Each gateway precodes the symbols addressed to its respective users; the design follows an MMSE criterion, and a regularization facto... |
1303.2175 | Keivan Navi | Samira Shirinabadi Farahani, Ronak Zarhoun, Mohammad Hossein Moaiyeri
and Keivan Navi | An efficient cntfet-based 7-input minority gate | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Complementary metal oxide semiconductor technology (CMOS) has been faced
critical challenges in nano-scale regime. CNTFET (Carbon Nanotube Field effect
transistor) technology is a promising alternative for CMOS technology. In this
paper, we proposed a novel 7-input minority gate in CNTFET technology that has
only 9 C... | [
{
"created": "Sat, 9 Mar 2013 06:57:21 GMT",
"version": "v1"
}
] | 2013-03-12 | [
[
"Farahani",
"Samira Shirinabadi",
""
],
[
"Zarhoun",
"Ronak",
""
],
[
"Moaiyeri",
"Mohammad Hossein",
""
],
[
"Navi",
"Keivan",
""
]
] | Complementary metal oxide semiconductor technology (CMOS) has been faced critical challenges in nano-scale regime. CNTFET (Carbon Nanotube Field effect transistor) technology is a promising alternative for CMOS technology. In this paper, we proposed a novel 7-input minority gate in CNTFET technology that has only 9 CNT... |
1909.11764 | Chen Zhu | Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu | FreeLB: Enhanced Adversarial Training for Natural Language Understanding | Adding results with ALBERT | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adversarial training, which minimizes the maximal risk for label-preserving
input perturbations, has proved to be effective for improving the
generalization of language models. In this work, we propose a novel adversarial
training algorithm, FreeLB, that promotes higher invariance in the embedding
space, by adding ad... | [
{
"created": "Wed, 25 Sep 2019 20:50:32 GMT",
"version": "v1"
},
{
"created": "Mon, 30 Sep 2019 18:53:21 GMT",
"version": "v2"
},
{
"created": "Sat, 5 Oct 2019 04:05:46 GMT",
"version": "v3"
},
{
"created": "Wed, 19 Feb 2020 01:57:24 GMT",
"version": "v4"
},
{
"cr... | 2020-04-24 | [
[
"Zhu",
"Chen",
""
],
[
"Cheng",
"Yu",
""
],
[
"Gan",
"Zhe",
""
],
[
"Sun",
"Siqi",
""
],
[
"Goldstein",
"Tom",
""
],
[
"Liu",
"Jingjing",
""
]
] | Adversarial training, which minimizes the maximal risk for label-preserving input perturbations, has proved to be effective for improving the generalization of language models. In this work, we propose a novel adversarial training algorithm, FreeLB, that promotes higher invariance in the embedding space, by adding adve... |
2404.02565 | Sreela Kodali | Sreela Kodali, Cihualpilli Camino Cruz, Thomas C. Bulea, Kevin S. Rao
Diana Bharucha-Goebel, Alexander T. Chesler, Carsten G. Bonnemann, Allison M.
Okamura | Spatial Summation of Localized Pressure for Haptic Sensory Prostheses | 2 pages, 2 figures, 2024 IEEE Haptics Symposium Work-in-Progress
Paper | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A host of medical conditions, including amputations, diabetes, stroke, and
genetic disease, result in loss of touch sensation. Because most types of
sensory loss have no pharmacological treatment or rehabilitative therapy, we
propose a haptic sensory prosthesis that provides substitutive feedback. The
wrist and forea... | [
{
"created": "Wed, 3 Apr 2024 08:37:05 GMT",
"version": "v1"
}
] | 2024-04-04 | [
[
"Kodali",
"Sreela",
""
],
[
"Cruz",
"Cihualpilli Camino",
""
],
[
"Bulea",
"Thomas C.",
""
],
[
"Bharucha-Goebel",
"Kevin S. Rao Diana",
""
],
[
"Chesler",
"Alexander T.",
""
],
[
"Bonnemann",
"Carsten G.",
""
],
[
... | A host of medical conditions, including amputations, diabetes, stroke, and genetic disease, result in loss of touch sensation. Because most types of sensory loss have no pharmacological treatment or rehabilitative therapy, we propose a haptic sensory prosthesis that provides substitutive feedback. The wrist and forearm... |
1909.07166 | Smriti Prathapan | Kaushik Velusamy, Smriti Prathapan, Milton Halem | Exploring the Behavior of Coherent Accelerator Processor Interface
(CAPI) on IBM Power8+ Architecture and FlashSystem 900 | 18 pages, 7 figures, 3 tables, Accepted for publication at 2019
International Workshop on OpenPOWER for HPC (IWOPH19) International
Supercomputing Conference HPC Frankfurt, Germany | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | The Coherent Accelerator Processor Interface (CAPI) is a general term for the
infrastructure that provides high throughput and low latency path to the flash
storage connected to the IBM POWER 8+ System. CAPI accelerator card is attached
coherently as a peer to the Power8+ processor. This removes the overhead and
comp... | [
{
"created": "Thu, 12 Sep 2019 15:45:37 GMT",
"version": "v1"
}
] | 2019-09-17 | [
[
"Velusamy",
"Kaushik",
""
],
[
"Prathapan",
"Smriti",
""
],
[
"Halem",
"Milton",
""
]
] | The Coherent Accelerator Processor Interface (CAPI) is a general term for the infrastructure that provides high throughput and low latency path to the flash storage connected to the IBM POWER 8+ System. CAPI accelerator card is attached coherently as a peer to the Power8+ processor. This removes the overhead and comple... |
1801.04473 | Regis Perrier | Iulia Tunaru and Beno\^it Denis and R\'egis Perrier and Bernard Uguen | Channel Whispering: a Protocol for Physical Layer Group Key Generation.
Application to IR-UWB through Deconvolution | 21 pages | null | null | null | cs.CR cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As wireless ad hoc and mobile networks are emerging and the transferred data
become more sensitive, information security measures should make use of all the
available contextual resources to secure information flows. The physical layer
security framework provides models, algorithms, and proofs of concept for
generati... | [
{
"created": "Sat, 13 Jan 2018 18:26:45 GMT",
"version": "v1"
}
] | 2018-01-16 | [
[
"Tunaru",
"Iulia",
""
],
[
"Denis",
"Benoît",
""
],
[
"Perrier",
"Régis",
""
],
[
"Uguen",
"Bernard",
""
]
] | As wireless ad hoc and mobile networks are emerging and the transferred data become more sensitive, information security measures should make use of all the available contextual resources to secure information flows. The physical layer security framework provides models, algorithms, and proofs of concept for generating... |
2207.04647 | Zvi Schreiber | Zvi Schreiber | Epi-constructivism: Decidable sets of computable numbers as foundational
objects for mathematics | null | null | null | null | cs.LO math.LO | http://creativecommons.org/licenses/by-nc-nd/4.0/ | It is well known that the R, the set of real numbers, is an abstract set,
where almost all its elements cannot be described in any finite language.
We investigate possible approaches to what might be called an
epi-constructionist approach to mathematics. While most constructive
mathematics is concerned with constru... | [
{
"created": "Mon, 11 Jul 2022 06:18:24 GMT",
"version": "v1"
}
] | 2022-07-12 | [
[
"Schreiber",
"Zvi",
""
]
] | It is well known that the R, the set of real numbers, is an abstract set, where almost all its elements cannot be described in any finite language. We investigate possible approaches to what might be called an epi-constructionist approach to mathematics. While most constructive mathematics is concerned with constructiv... |
2105.00173 | Daniel Szelogowski | Daniel Szelogowski | Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis
Tool for Singers | 26 pages, 10 figures, 6 tables | null | null | null | cs.SD cs.AI cs.CY cs.LG cs.NE eess.AS | http://creativecommons.org/licenses/by/4.0/ | Current computational-emotion research has focused on applying acoustic
properties to analyze how emotions are perceived mathematically or used in
natural language processing machine learning models. While recent interest has
focused on analyzing emotions from the spoken voice, little experimentation has
been perform... | [
{
"created": "Sat, 1 May 2021 05:47:15 GMT",
"version": "v1"
},
{
"created": "Sun, 4 Jul 2021 07:34:14 GMT",
"version": "v2"
}
] | 2021-07-06 | [
[
"Szelogowski",
"Daniel",
""
]
] | Current computational-emotion research has focused on applying acoustic properties to analyze how emotions are perceived mathematically or used in natural language processing machine learning models. While recent interest has focused on analyzing emotions from the spoken voice, little experimentation has been performed... |
2407.13648 | Skyler Grandel | Skyler Grandel (1), Scott Thomas Andersen (2), Yu Huang (1), Kevin
Leach (1) ((1) Vanderbilt University, (2) Universidad Nacional Aut\`onoma de
M\`exico) | COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and
Summarization | 12 pages, 6 figures | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Software maintenance constitutes a substantial portion of the total lifetime
costs of software, with a significant portion attributed to code comprehension.
Software comprehension is eased by documentation such as comments that
summarize and explain code. We present COMCAT, an approach to automate comment
generation ... | [
{
"created": "Thu, 18 Jul 2024 16:26:31 GMT",
"version": "v1"
}
] | 2024-07-19 | [
[
"Grandel",
"Skyler",
""
],
[
"Andersen",
"Scott Thomas",
""
],
[
"Huang",
"Yu",
""
],
[
"Leach",
"Kevin",
""
]
] | Software maintenance constitutes a substantial portion of the total lifetime costs of software, with a significant portion attributed to code comprehension. Software comprehension is eased by documentation such as comments that summarize and explain code. We present COMCAT, an approach to automate comment generation by... |
2007.02984 | Nitzan Zamir | Nitzan Zamir and Yoram Moses | Probably Approximately Knowing | 23 pages, 2 figures, a full version of a paper whose extended
abstract appears in the proceeding of PODC 2020 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Whereas deterministic protocols are typically guaranteed to obtain particular
goals of interest, probabilistic protocols typically provide only probabilistic
guarantees. This paper initiates an investigation of the interdependence
between actions and subjective beliefs of agents in a probabilistic setting. In
particu... | [
{
"created": "Mon, 6 Jul 2020 18:12:41 GMT",
"version": "v1"
}
] | 2020-07-08 | [
[
"Zamir",
"Nitzan",
""
],
[
"Moses",
"Yoram",
""
]
] | Whereas deterministic protocols are typically guaranteed to obtain particular goals of interest, probabilistic protocols typically provide only probabilistic guarantees. This paper initiates an investigation of the interdependence between actions and subjective beliefs of agents in a probabilistic setting. In particula... |
1510.04817 | Javier Alvez | Javier \'Alvez and Paqui Lucio and German Rigau | Improving the Competency of First-Order Ontologies | 8 pages, 2 tables | Proceedings of the 8th International Conference on Knowledge
Capture (K-CAP 2015). Palisades, NY. 2015 | 10.1145/2815833.2815841 | null | cs.AI cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new framework to evaluate and improve first-order (FO)
ontologies using automated theorem provers (ATPs) on the basis of competency
questions (CQs). Our framework includes both the adaptation of a methodology
for evaluating ontologies to the framework of first-order logic and a new set
of non-trivial C... | [
{
"created": "Fri, 16 Oct 2015 09:01:35 GMT",
"version": "v1"
}
] | 2015-10-19 | [
[
"Álvez",
"Javier",
""
],
[
"Lucio",
"Paqui",
""
],
[
"Rigau",
"German",
""
]
] | We introduce a new framework to evaluate and improve first-order (FO) ontologies using automated theorem provers (ATPs) on the basis of competency questions (CQs). Our framework includes both the adaptation of a methodology for evaluating ontologies to the framework of first-order logic and a new set of non-trivial CQs... |
2304.01950 | Yu Qiao | Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha,
Chaoning Zhang, Choong Seon Hong | MP-FedCL: Multiprototype Federated Contrastive Learning for Edge
Intelligence | Accepted by IEEE Internet of Things | null | null | null | cs.LG cs.AI cs.CV cs.DC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Federated learning-assisted edge intelligence enables privacy protection in
modern intelligent services. However, not independent and identically
distributed (non-IID) distribution among edge clients can impair the local
model performance. The existing single prototype-based strategy represents a
class by using the m... | [
{
"created": "Sat, 1 Apr 2023 09:16:40 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Oct 2023 14:21:29 GMT",
"version": "v2"
}
] | 2023-10-12 | [
[
"Qiao",
"Yu",
""
],
[
"Munir",
"Md. Shirajum",
""
],
[
"Adhikary",
"Apurba",
""
],
[
"Le",
"Huy Q.",
""
],
[
"Raha",
"Avi Deb",
""
],
[
"Zhang",
"Chaoning",
""
],
[
"Hong",
"Choong Seon",
""
]
] | Federated learning-assisted edge intelligence enables privacy protection in modern intelligent services. However, not independent and identically distributed (non-IID) distribution among edge clients can impair the local model performance. The existing single prototype-based strategy represents a class by using the mea... |
1811.08521 | Scott Wisdom | Scott Wisdom, John R. Hershey, Kevin Wilson, Jeremy Thorpe, Michael
Chinen, Brian Patton, Rif A. Saurous | Differentiable Consistency Constraints for Improved Deep Speech
Enhancement | null | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, deep networks have led to dramatic improvements in speech
enhancement by framing it as a data-driven pattern recognition problem. In many
modern enhancement systems, large amounts of data are used to train a deep
network to estimate masks for complex-valued short-time Fourier transforms
(STFTs) to su... | [
{
"created": "Tue, 20 Nov 2018 22:44:12 GMT",
"version": "v1"
}
] | 2018-11-22 | [
[
"Wisdom",
"Scott",
""
],
[
"Hershey",
"John R.",
""
],
[
"Wilson",
"Kevin",
""
],
[
"Thorpe",
"Jeremy",
""
],
[
"Chinen",
"Michael",
""
],
[
"Patton",
"Brian",
""
],
[
"Saurous",
"Rif A.",
""
]
] | In recent years, deep networks have led to dramatic improvements in speech enhancement by framing it as a data-driven pattern recognition problem. In many modern enhancement systems, large amounts of data are used to train a deep network to estimate masks for complex-valued short-time Fourier transforms (STFTs) to supp... |
2404.08181 | Sina Hajimiri | Sina Hajimiri, Ismail Ben Ayed, Jose Dolz | Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic
Segmentation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Despite the significant progress in deep learning for dense visual
recognition problems, such as semantic segmentation, traditional methods are
constrained by fixed class sets. Meanwhile, vision-language foundation models,
such as CLIP, have showcased remarkable effectiveness in numerous zero-shot
image-level tasks, ... | [
{
"created": "Fri, 12 Apr 2024 01:08:04 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Hajimiri",
"Sina",
""
],
[
"Ayed",
"Ismail Ben",
""
],
[
"Dolz",
"Jose",
""
]
] | Despite the significant progress in deep learning for dense visual recognition problems, such as semantic segmentation, traditional methods are constrained by fixed class sets. Meanwhile, vision-language foundation models, such as CLIP, have showcased remarkable effectiveness in numerous zero-shot image-level tasks, ow... |
1708.07549 | Moi Hoon Yap | Adrian K. Davison, Walied Merghani and Moi Hoon Yap | Objective Classes for Micro-Facial Expression Recognition | 11 pages, 4 figures and 5 tables. This paper will be submitted for
journal review | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Micro-expressions are brief spontaneous facial expressions that appear on a
face when a person conceals an emotion, making them different to normal facial
expressions in subtlety and duration. Currently, emotion classes within the
CASME II dataset are based on Action Units and self-reports, creating conflicts
during ... | [
{
"created": "Thu, 24 Aug 2017 20:37:10 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Dec 2017 06:12:57 GMT",
"version": "v2"
}
] | 2017-12-05 | [
[
"Davison",
"Adrian K.",
""
],
[
"Merghani",
"Walied",
""
],
[
"Yap",
"Moi Hoon",
""
]
] | Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety and duration. Currently, emotion classes within the CASME II dataset are based on Action Units and self-reports, creating conflicts during ma... |
2001.04552 | Luca Puglia | Luca Puglia and Cormac Brick | Deep Learning Stereo Vision at the edge | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an overview of the methodology used to build a new stereo vision
solution that is suitable for System on Chip. This new solution was developed
to bring computer vision capability to embedded devices that live in a power
constrained environment. The solution is constructured as a hybrid between
classical St... | [
{
"created": "Mon, 13 Jan 2020 22:30:41 GMT",
"version": "v1"
}
] | 2020-01-15 | [
[
"Puglia",
"Luca",
""
],
[
"Brick",
"Cormac",
""
]
] | We present an overview of the methodology used to build a new stereo vision solution that is suitable for System on Chip. This new solution was developed to bring computer vision capability to embedded devices that live in a power constrained environment. The solution is constructured as a hybrid between classical Ster... |
1411.0710 | Eric Bax | Valeria Stourm and Eric Bax | Incorporating Hidden Costs of Annoying Ads in Display Auctions | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Media publisher platforms often face an effectiveness-nuisance tradeoff: more
annoying ads can be more effective for some advertisers because of their
ability to attract attention, but after attracting viewers' attention, their
nuisance to viewers can decrease engagement with the platform over time. With
the rise of ... | [
{
"created": "Mon, 3 Nov 2014 21:38:55 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jan 2017 06:44:28 GMT",
"version": "v2"
}
] | 2017-01-27 | [
[
"Stourm",
"Valeria",
""
],
[
"Bax",
"Eric",
""
]
] | Media publisher platforms often face an effectiveness-nuisance tradeoff: more annoying ads can be more effective for some advertisers because of their ability to attract attention, but after attracting viewers' attention, their nuisance to viewers can decrease engagement with the platform over time. With the rise of mo... |
2312.15869 | Piji Li | Ruoqing Zhao, Xi Wang, Hongliang Dai, Pan Gao, Piji Li | Medical Report Generation based on Segment-Enhanced Contrastive
Representation Learning | NLPCC 2023 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automated radiology report generation has the potential to improve radiology
reporting and alleviate the workload of radiologists. However, the medical
report generation task poses unique challenges due to the limited availability
of medical data and the presence of data bias. To maximize the utility of
available dat... | [
{
"created": "Tue, 26 Dec 2023 03:33:48 GMT",
"version": "v1"
}
] | 2023-12-27 | [
[
"Zhao",
"Ruoqing",
""
],
[
"Wang",
"Xi",
""
],
[
"Dai",
"Hongliang",
""
],
[
"Gao",
"Pan",
""
],
[
"Li",
"Piji",
""
]
] | Automated radiology report generation has the potential to improve radiology reporting and alleviate the workload of radiologists. However, the medical report generation task poses unique challenges due to the limited availability of medical data and the presence of data bias. To maximize the utility of available data ... |
1601.06704 | Nikita Polyanskii | A. G. D'yachkov, I.V. Vorobyev, N.A. Polyanskii and V.Yu. Shchukin | On a Hypergraph Approach to Multistage Group Testing Problems | 5 pages, IEEE conference | null | 10.1109/ISIT.2016.7541486 | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Group testing is a well known search problem that consists in detecting up to
$s$ defective elements of the set $[t]=\{1,\ldots,t\}$ by carrying out tests on
properly chosen subsets of $[t]$. In classical group testing the goal is to
find all defective elements by using the minimal possible number of tests. In
this p... | [
{
"created": "Mon, 25 Jan 2016 18:20:45 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"D'yachkov",
"A. G.",
""
],
[
"Vorobyev",
"I. V.",
""
],
[
"Polyanskii",
"N. A.",
""
],
[
"Shchukin",
"V. Yu.",
""
]
] | Group testing is a well known search problem that consists in detecting up to $s$ defective elements of the set $[t]=\{1,\ldots,t\}$ by carrying out tests on properly chosen subsets of $[t]$. In classical group testing the goal is to find all defective elements by using the minimal possible number of tests. In this pap... |
1506.05527 | Kim-Kwang Raymond Choo | Ben Martini, Quang Do, Kim-Kwang Raymond Choo | Conceptual evidence collection and analysis methodology for Android
devices | in Cloud Security Ecosystem (Syngress, an Imprint of Elsevier), 2015 | null | 10.1016/B978-0-12-801595-7.00014-8 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Android devices continue to grow in popularity and capability meaning the
need for a forensically sound evidence collection methodology for these devices
also increases. This chapter proposes a methodology for evidence collection and
analysis for Android devices that is, as far as practical, device agnostic.
Android ... | [
{
"created": "Thu, 18 Jun 2015 01:25:00 GMT",
"version": "v1"
}
] | 2015-06-19 | [
[
"Martini",
"Ben",
""
],
[
"Do",
"Quang",
""
],
[
"Choo",
"Kim-Kwang Raymond",
""
]
] | Android devices continue to grow in popularity and capability meaning the need for a forensically sound evidence collection methodology for these devices also increases. This chapter proposes a methodology for evidence collection and analysis for Android devices that is, as far as practical, device agnostic. Android de... |
2203.10131 | Patrick Schnell | Patrick Schnell, Philipp Holl, Nils Thuerey | Half-Inverse Gradients for Physical Deep Learning | ICLR 2022 spotlight, code available at
https://github.com/tum-pbs/half-inverse-gradients | null | null | null | cs.LG physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent works in deep learning have shown that integrating differentiable
physics simulators into the training process can greatly improve the quality of
results. Although this combination represents a more complex optimization task
than supervised neural network training, the same gradient-based optimizers are
typica... | [
{
"created": "Fri, 18 Mar 2022 19:11:04 GMT",
"version": "v1"
}
] | 2022-03-22 | [
[
"Schnell",
"Patrick",
""
],
[
"Holl",
"Philipp",
""
],
[
"Thuerey",
"Nils",
""
]
] | Recent works in deep learning have shown that integrating differentiable physics simulators into the training process can greatly improve the quality of results. Although this combination represents a more complex optimization task than supervised neural network training, the same gradient-based optimizers are typicall... |
1903.12468 | Niveditha Manjunath | Ezio Bartocci, Niveditha Manjunath, Leonardo Mariani, Cristinel
Mateis, Dejan Ni\v{c}kovi\'c | Automatic Failure Explanation in CPS Models | null | null | null | null | cs.SE cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Debugging Cyber-Physical System (CPS) models can be extremely complex.
Indeed, only the detection of a failure is insuffcient to know how to correct a
faulty model. Faults can propagate in time and in space producing observable
misbehaviours in locations completely different from the location of the fault.
Understand... | [
{
"created": "Fri, 29 Mar 2019 12:26:42 GMT",
"version": "v1"
}
] | 2020-10-14 | [
[
"Bartocci",
"Ezio",
""
],
[
"Manjunath",
"Niveditha",
""
],
[
"Mariani",
"Leonardo",
""
],
[
"Mateis",
"Cristinel",
""
],
[
"Ničković",
"Dejan",
""
]
] | Debugging Cyber-Physical System (CPS) models can be extremely complex. Indeed, only the detection of a failure is insuffcient to know how to correct a faulty model. Faults can propagate in time and in space producing observable misbehaviours in locations completely different from the location of the fault. Understandin... |
1410.7460 | Ahmed Ewaisha | Ahmed Ewaisha and Cihan Tepedelenlio\u{g}lu | Throughput Optimization in Multi-Channel Cognitive Radios with Hard
Deadline Constraints | Keywords: Delay Constraint, Optimal Stopping Rule, Water Filling,
Stochastic Optimization, Optimal Channel Selection | null | 10.1109/TVT.2015.2425951 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a cognitive radio scenario we consider a single secondary user (SU)
accessing a multi-channel system. The SU senses the channels sequentially to
detect if a primary user (PU) is occupying the channels, and stops its search
to access a channel if it offers a significantly high throughput. The optimal
stopping rule ... | [
{
"created": "Mon, 27 Oct 2014 23:45:23 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Dec 2015 03:20:38 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Dec 2015 14:30:13 GMT",
"version": "v3"
}
] | 2015-12-31 | [
[
"Ewaisha",
"Ahmed",
""
],
[
"Tepedelenlioğlu",
"Cihan",
""
]
] | In a cognitive radio scenario we consider a single secondary user (SU) accessing a multi-channel system. The SU senses the channels sequentially to detect if a primary user (PU) is occupying the channels, and stops its search to access a channel if it offers a significantly high throughput. The optimal stopping rule an... |
1809.05369 | Chris Norval | Chris Norval, Jennifer Cobbe, Heleen Janssen, Jatinder Singh | Reclaiming Data: Overcoming app identification barriers for exercising
data protection rights | Author preprint (accepted 20-Aug-18) To appear in the proceedings of
the 4th Workshop on Legal and Technical Issues in Cloud and Pervasive
Computing (IoT) [CLaw-18], UbiComp/ISWC'18 Adjunct,
https://doi.org/10.1145/3267305.3274153 | null | 10.1145/3267305.3274153 | null | cs.CY cs.CR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data protection regulations generally afford individuals certain rights over
their personal data, including the rights to access, rectify, and delete the
data held on them. Exercising such rights naturally requires those with data
management obligations (service providers) to be able to match an individual
with their... | [
{
"created": "Fri, 14 Sep 2018 12:05:05 GMT",
"version": "v1"
}
] | 2018-09-17 | [
[
"Norval",
"Chris",
""
],
[
"Cobbe",
"Jennifer",
""
],
[
"Janssen",
"Heleen",
""
],
[
"Singh",
"Jatinder",
""
]
] | Data protection regulations generally afford individuals certain rights over their personal data, including the rights to access, rectify, and delete the data held on them. Exercising such rights naturally requires those with data management obligations (service providers) to be able to match an individual with their d... |
2206.04397 | Rafael Menezes | Rafael Menezes, Daniel Moura, Helena Cavalcante, Rosiane de Freitas
and Lucas C. Cordeiro | ESBMC-Jimple: Verifying Kotlin Programs via Jimple Intermediate
Representation | ACM SIGSOFT International Symposium on Software Testing and Analysis
2022 | null | 10.1145/3533767.3543294 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we describe and evaluate the first model checker for verifying
Kotlin programs through the Jimple intermediate representation. The verifier,
named ESBMC-Jimple, is built on top of the Efficient SMT-based Context-Bounded
Model Checker (ESBMC). It uses the Soot framework to obtain the Jimple IR,
represent... | [
{
"created": "Thu, 9 Jun 2022 10:18:53 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Jul 2022 13:26:30 GMT",
"version": "v2"
}
] | 2022-07-21 | [
[
"Menezes",
"Rafael",
""
],
[
"Moura",
"Daniel",
""
],
[
"Cavalcante",
"Helena",
""
],
[
"de Freitas",
"Rosiane",
""
],
[
"Cordeiro",
"Lucas C.",
""
]
] | In this work, we describe and evaluate the first model checker for verifying Kotlin programs through the Jimple intermediate representation. The verifier, named ESBMC-Jimple, is built on top of the Efficient SMT-based Context-Bounded Model Checker (ESBMC). It uses the Soot framework to obtain the Jimple IR, representin... |
1211.5520 | Ashish Tendulkar Dr | Vivekanand Samant, Arvind Hulgeri, Alfonso Valencia, Ashish V.
Tendulkar | Accurate Demarcation of Protein Domain Linkers based on Structural
Analysis of Linker Probable Region | 18 pages, 2 figures | International Journal of Computational Biology, 0001:01-19, 2012 | null | null | cs.CE q-bio.BM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In multi-domain proteins, the domains are connected by a flexible
unstructured region called as protein domain linker. The accurate demarcation
of these linkers holds a key to understanding of their biochemical and
evolutionary attributes. This knowledge helps in designing a suitable linker
for engineering stable mul... | [
{
"created": "Fri, 23 Nov 2012 14:53:54 GMT",
"version": "v1"
}
] | 2012-11-26 | [
[
"Samant",
"Vivekanand",
""
],
[
"Hulgeri",
"Arvind",
""
],
[
"Valencia",
"Alfonso",
""
],
[
"Tendulkar",
"Ashish V.",
""
]
] | In multi-domain proteins, the domains are connected by a flexible unstructured region called as protein domain linker. The accurate demarcation of these linkers holds a key to understanding of their biochemical and evolutionary attributes. This knowledge helps in designing a suitable linker for engineering stable multi... |
2402.04231 | Subhamoy Maitra | Ajeet Kumar and Subhamoy Maitra | Further Constructions of AMUBs for Non-prime power Composite Dimensions | null | null | null | null | cs.DM | http://creativecommons.org/licenses/by/4.0/ | Construction of a large class of Mutually Unbiased Bases (MUBs) for non-prime
power composite dimensions ($d = k\times s$) is a long standing open problem,
which leads to different construction methods for the class Approximate MUBs
(AMUBs) by relaxing the criterion that the absolute value of the dot product
between ... | [
{
"created": "Tue, 6 Feb 2024 18:39:25 GMT",
"version": "v1"
}
] | 2024-02-07 | [
[
"Kumar",
"Ajeet",
""
],
[
"Maitra",
"Subhamoy",
""
]
] | Construction of a large class of Mutually Unbiased Bases (MUBs) for non-prime power composite dimensions ($d = k\times s$) is a long standing open problem, which leads to different construction methods for the class Approximate MUBs (AMUBs) by relaxing the criterion that the absolute value of the dot product between tw... |
2003.11456 | Ralf M\"oller | Ralf M\"oller | Derivation of Coupled PCA and SVD Learning Rules from a Newton
Zero-Finding Framework | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In coupled learning rules for PCA (principal component analysis) and SVD
(singular value decomposition), the update of the estimates of eigenvectors or
singular vectors is influenced by the estimates of eigenvalues or singular
values, respectively. This coupled update mitigates the speed-stability problem
since the u... | [
{
"created": "Wed, 25 Mar 2020 15:49:55 GMT",
"version": "v1"
}
] | 2020-03-26 | [
[
"Möller",
"Ralf",
""
]
] | In coupled learning rules for PCA (principal component analysis) and SVD (singular value decomposition), the update of the estimates of eigenvectors or singular vectors is influenced by the estimates of eigenvalues or singular values, respectively. This coupled update mitigates the speed-stability problem since the upd... |
2403.06999 | Nan Liu | Ziwen Wang, Jin Wee Lee, Tanujit Chakraborty, Yilin Ning, Mingxuan
Liu, Feng Xie, Marcus Eng Hock Ong, Nan Liu | Survival modeling using deep learning, machine learning and statistical
methods: A comparative analysis for predicting mortality after hospital
admission | null | null | null | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | Survival analysis is essential for studying time-to-event outcomes and
providing a dynamic understanding of the probability of an event occurring over
time. Various survival analysis techniques, from traditional statistical models
to state-of-the-art machine learning algorithms, support healthcare
intervention and po... | [
{
"created": "Mon, 4 Mar 2024 10:46:02 GMT",
"version": "v1"
}
] | 2024-03-13 | [
[
"Wang",
"Ziwen",
""
],
[
"Lee",
"Jin Wee",
""
],
[
"Chakraborty",
"Tanujit",
""
],
[
"Ning",
"Yilin",
""
],
[
"Liu",
"Mingxuan",
""
],
[
"Xie",
"Feng",
""
],
[
"Ong",
"Marcus Eng Hock",
""
],
[
"Liu... | Survival analysis is essential for studying time-to-event outcomes and providing a dynamic understanding of the probability of an event occurring over time. Various survival analysis techniques, from traditional statistical models to state-of-the-art machine learning algorithms, support healthcare intervention and poli... |
1809.08566 | Faegheh Hasibi | Arash Dargahi Nobari, Arian Askari, Faegheh Hasibi and Mahmood Neshati | Query Understanding via Entity Attribute Identification | Proceedings of the 27th International Conference on Information and
Knowledge Management (CIKM '18), 2018 | null | 10.1145/3269206.3269245 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding searchers' queries is an essential component of semantic search
systems. In many cases, search queries involve specific attributes of an entity
in a knowledge base (KB), which can be further used to find query answers. In
this study, we aim to move forward the understanding of queries by identifying
the... | [
{
"created": "Sun, 23 Sep 2018 09:49:19 GMT",
"version": "v1"
}
] | 2018-09-25 | [
[
"Nobari",
"Arash Dargahi",
""
],
[
"Askari",
"Arian",
""
],
[
"Hasibi",
"Faegheh",
""
],
[
"Neshati",
"Mahmood",
""
]
] | Understanding searchers' queries is an essential component of semantic search systems. In many cases, search queries involve specific attributes of an entity in a knowledge base (KB), which can be further used to find query answers. In this study, we aim to move forward the understanding of queries by identifying their... |
2107.13718 | Luchuan Song | Kun Zhao, Luchuan Song, Bin Liu, Qi Chu, Nenghai Yu | Cascaded Residual Density Network for Crowd Counting | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Crowd counting is a challenging task due to the issues such as scale
variation and perspective variation in real crowd scenes. In this paper, we
propose a novel Cascaded Residual Density Network (CRDNet) in a coarse-to-fine
approach to generate the high-quality density map for crowd counting more
accurately. (1) We e... | [
{
"created": "Thu, 29 Jul 2021 03:07:11 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Zhao",
"Kun",
""
],
[
"Song",
"Luchuan",
""
],
[
"Liu",
"Bin",
""
],
[
"Chu",
"Qi",
""
],
[
"Yu",
"Nenghai",
""
]
] | Crowd counting is a challenging task due to the issues such as scale variation and perspective variation in real crowd scenes. In this paper, we propose a novel Cascaded Residual Density Network (CRDNet) in a coarse-to-fine approach to generate the high-quality density map for crowd counting more accurately. (1) We est... |
2306.05442 | Zhaoyang Huang | Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Yijin Li, Hongwei
Qin, Jifeng Dai, Xiaogang Wang, and Hongsheng Li | FlowFormer: A Transformer Architecture and Its Masked Cost Volume
Autoencoding for Optical Flow | arXiv admin note: substantial text overlap with arXiv:2203.16194,
arXiv:2303.01237 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | This paper introduces a novel transformer-based network architecture,
FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for
pretraining it to tackle the problem of optical flow estimation. FlowFormer
tokenizes the 4D cost-volume built from the source-target image pair and
iteratively refines flow esti... | [
{
"created": "Thu, 8 Jun 2023 12:24:04 GMT",
"version": "v1"
}
] | 2023-06-12 | [
[
"Huang",
"Zhaoyang",
""
],
[
"Shi",
"Xiaoyu",
""
],
[
"Zhang",
"Chao",
""
],
[
"Wang",
"Qiang",
""
],
[
"Li",
"Yijin",
""
],
[
"Qin",
"Hongwei",
""
],
[
"Dai",
"Jifeng",
""
],
[
"Wang",
"Xiaogan... | This paper introduces a novel transformer-based network architecture, FlowFormer, along with the Masked Cost Volume AutoEncoding (MCVA) for pretraining it to tackle the problem of optical flow estimation. FlowFormer tokenizes the 4D cost-volume built from the source-target image pair and iteratively refines flow estima... |
2206.01781 | Jaskaran Grover | Jaskaran Grover and Changliu Liu and Katia Sycara | The Before, During, and After of Multi-Robot Deadlock | Accepted to International Journal of Robotics Research 2022, WAFR
2020 Special Issue | null | null | null | cs.RO cs.MA math.OC | http://creativecommons.org/licenses/by/4.0/ | Collision avoidance for multirobot systems is a well-studied problem.
Recently, control barrier functions (CBFs) have been proposed for synthesizing
controllers that guarantee collision avoidance and goal stabilization for
multiple robots. However, it has been noted that reactive control synthesis
methods (such as CB... | [
{
"created": "Fri, 3 Jun 2022 18:48:55 GMT",
"version": "v1"
}
] | 2022-06-07 | [
[
"Grover",
"Jaskaran",
""
],
[
"Liu",
"Changliu",
""
],
[
"Sycara",
"Katia",
""
]
] | Collision avoidance for multirobot systems is a well-studied problem. Recently, control barrier functions (CBFs) have been proposed for synthesizing controllers that guarantee collision avoidance and goal stabilization for multiple robots. However, it has been noted that reactive control synthesis methods (such as CBFs... |
1910.00511 | Yang Zhang | Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian | An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There are two major paradigms of white-box adversarial attacks that attempt
to impose input perturbations. The first paradigm, called the fix-perturbation
attack, crafts adversarial samples within a given perturbation level. The
second paradigm, called the zero-confidence attack, finds the smallest
perturbation neede... | [
{
"created": "Tue, 1 Oct 2019 15:59:52 GMT",
"version": "v1"
}
] | 2019-10-02 | [
[
"Zhang",
"Yang",
""
],
[
"Chang",
"Shiyu",
""
],
[
"Yu",
"Mo",
""
],
[
"Qian",
"Kaizhi",
""
]
] | There are two major paradigms of white-box adversarial attacks that attempt to impose input perturbations. The first paradigm, called the fix-perturbation attack, crafts adversarial samples within a given perturbation level. The second paradigm, called the zero-confidence attack, finds the smallest perturbation needed ... |
2307.15198 | Yao Su | Yao Su and Zhentian Qian and Lei Ma and Lifang He and Xiangnan Kong | One-shot Joint Extraction, Registration and Segmentation of Neuroimaging
Data | Published as a research track paper at KDD 2023. Code:
https://github.com/Anonymous4545/JERS | null | 10.1145/3580305.3599452 | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Brain extraction, registration and segmentation are indispensable
preprocessing steps in neuroimaging studies. The aim is to extract the brain
from raw imaging scans (i.e., extraction step), align it with a target brain
image (i.e., registration step) and label the anatomical brain regions (i.e.,
segmentation step). ... | [
{
"created": "Thu, 27 Jul 2023 21:14:40 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Su",
"Yao",
""
],
[
"Qian",
"Zhentian",
""
],
[
"Ma",
"Lei",
""
],
[
"He",
"Lifang",
""
],
[
"Kong",
"Xiangnan",
""
]
] | Brain extraction, registration and segmentation are indispensable preprocessing steps in neuroimaging studies. The aim is to extract the brain from raw imaging scans (i.e., extraction step), align it with a target brain image (i.e., registration step) and label the anatomical brain regions (i.e., segmentation step). Co... |
2310.10910 | Davut Emre Ta\c{s}ar | Davut Emre Tasar, Kutan Koruyan, Ceren Ocal Tasar | Machine Learning in the Quantum Age: Quantum vs. Classical Support
Vector Machines | 6 Pages, in Turkish language | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | This work endeavors to juxtapose the efficacy of machine learning algorithms
within classical and quantum computational paradigms. Particularly, by
emphasizing on Support Vector Machines (SVM), we scrutinize the classification
prowess of classical SVM and Quantum Support Vector Machines (QSVM) operational
on quantum ... | [
{
"created": "Tue, 17 Oct 2023 01:06:59 GMT",
"version": "v1"
}
] | 2023-10-18 | [
[
"Tasar",
"Davut Emre",
""
],
[
"Koruyan",
"Kutan",
""
],
[
"Tasar",
"Ceren Ocal",
""
]
] | This work endeavors to juxtapose the efficacy of machine learning algorithms within classical and quantum computational paradigms. Particularly, by emphasizing on Support Vector Machines (SVM), we scrutinize the classification prowess of classical SVM and Quantum Support Vector Machines (QSVM) operational on quantum ha... |
1304.0357 | Arkadiusz Stopczynski Mr. | Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen, Michael Kai
Petersen, and Lars Kai Hansen | The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System | null | null | 10.1371/journal.pone.0086733 | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Combining low cost wireless EEG sensors with smartphones offers novel
opportunities for mobile brain imaging in an everyday context. We present a
framework for building multi-platform, portable EEG applications with real-time
3D source reconstruction. The system - Smartphone Brain Scanner - combines an
off-the-shelf ... | [
{
"created": "Mon, 1 Apr 2013 13:51:52 GMT",
"version": "v1"
}
] | 2014-03-05 | [
[
"Stopczynski",
"Arkadiusz",
""
],
[
"Stahlhut",
"Carsten",
""
],
[
"Larsen",
"Jakob Eg",
""
],
[
"Petersen",
"Michael Kai",
""
],
[
"Hansen",
"Lars Kai",
""
]
] | Combining low cost wireless EEG sensors with smartphones offers novel opportunities for mobile brain imaging in an everyday context. We present a framework for building multi-platform, portable EEG applications with real-time 3D source reconstruction. The system - Smartphone Brain Scanner - combines an off-the-shelf ne... |
2207.06590 | Jun Yang | Jun Yang, Yuehan Wang, Yiling Lou, Ming Wen and Lingming Zhang | Attention: Not Just Another Dataset for Patch-Correctness Checking | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automated Program Repair (APR) techniques have drawn wide attention from both
academia and industry. Meanwhile, one main limitation with the current
state-of-the-art APR tools is that patches passing all the original tests are
not necessarily the correct ones wanted by developers, i.e., the plausible
patch problem. T... | [
{
"created": "Thu, 14 Jul 2022 01:07:17 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Feb 2023 23:10:09 GMT",
"version": "v2"
}
] | 2023-02-10 | [
[
"Yang",
"Jun",
""
],
[
"Wang",
"Yuehan",
""
],
[
"Lou",
"Yiling",
""
],
[
"Wen",
"Ming",
""
],
[
"Zhang",
"Lingming",
""
]
] | Automated Program Repair (APR) techniques have drawn wide attention from both academia and industry. Meanwhile, one main limitation with the current state-of-the-art APR tools is that patches passing all the original tests are not necessarily the correct ones wanted by developers, i.e., the plausible patch problem. To ... |
2001.04325 | Eli Chen | Oren Haik, Oded Perry, Eli Chen, Peter Klammer | A Novel Inspection System For Variable Data Printing Using Deep Learning | Accepted for publication in: Winter Applications of Computer Vision
(WACV) 2020 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach for inspecting variable data prints (VDP) with an
ultra-low false alarm rate (0.005%) and potential applicability to other
real-world problems. The system is based on a comparison between two images: a
reference image and an image captured by low-cost scanners. The comparison task
is chall... | [
{
"created": "Mon, 13 Jan 2020 15:07:13 GMT",
"version": "v1"
}
] | 2020-01-14 | [
[
"Haik",
"Oren",
""
],
[
"Perry",
"Oded",
""
],
[
"Chen",
"Eli",
""
],
[
"Klammer",
"Peter",
""
]
] | We present a novel approach for inspecting variable data prints (VDP) with an ultra-low false alarm rate (0.005%) and potential applicability to other real-world problems. The system is based on a comparison between two images: a reference image and an image captured by low-cost scanners. The comparison task is challen... |
2402.18117 | Changqi Wang | Haoyu Xie, Changqi Wang, Jian Zhao, Yang Liu, Jun Dan, Chong Fu,
Baigui Sun | PRCL: Probabilistic Representation Contrastive Learning for
Semi-Supervised Semantic Segmentation | 19 pages, 11 figures | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tremendous breakthroughs have been developed in Semi-Supervised Semantic
Segmentation (S4) through contrastive learning. However, due to limited
annotations, the guidance on unlabeled images is generated by the model itself,
which inevitably exists noise and disturbs the unsupervised training process.
To address this... | [
{
"created": "Wed, 28 Feb 2024 07:10:37 GMT",
"version": "v1"
}
] | 2024-02-29 | [
[
"Xie",
"Haoyu",
""
],
[
"Wang",
"Changqi",
""
],
[
"Zhao",
"Jian",
""
],
[
"Liu",
"Yang",
""
],
[
"Dan",
"Jun",
""
],
[
"Fu",
"Chong",
""
],
[
"Sun",
"Baigui",
""
]
] | Tremendous breakthroughs have been developed in Semi-Supervised Semantic Segmentation (S4) through contrastive learning. However, due to limited annotations, the guidance on unlabeled images is generated by the model itself, which inevitably exists noise and disturbs the unsupervised training process. To address this i... |
2109.15200 | Zhao Hengling | Hengling Zhao, Yipeng Liu, Xiaolin Huang and Ce Zhu | Semi-tensor Product-based TensorDecomposition for Neural Network
Compression | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The existing tensor networks adopt conventional matrix product for
connection. The classical matrix product requires strict dimensionality
consistency between factors, which can result in redundancy in data
representation. In this paper, the semi-tensor product is used to generalize
classical matrix product-based mod... | [
{
"created": "Thu, 30 Sep 2021 15:18:14 GMT",
"version": "v1"
}
] | 2021-10-01 | [
[
"Zhao",
"Hengling",
""
],
[
"Liu",
"Yipeng",
""
],
[
"Huang",
"Xiaolin",
""
],
[
"Zhu",
"Ce",
""
]
] | The existing tensor networks adopt conventional matrix product for connection. The classical matrix product requires strict dimensionality consistency between factors, which can result in redundancy in data representation. In this paper, the semi-tensor product is used to generalize classical matrix product-based mode ... |
2002.03704 | Sebastian Farquhar | Sebastian Farquhar, Lewis Smith, Yarin Gal | Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight
Posterior Approximations | Advances In Neural Information Processing Systems. 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We challenge the longstanding assumption that the mean-field approximation
for variational inference in Bayesian neural networks is severely restrictive,
and show this is not the case in deep networks. We prove several results
indicating that deep mean-field variational weight posteriors can induce
similar distributi... | [
{
"created": "Mon, 10 Feb 2020 13:11:45 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Jul 2020 10:39:50 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Nov 2020 11:55:29 GMT",
"version": "v3"
},
{
"created": "Wed, 10 Mar 2021 09:19:13 GMT",
"version": "v4"
}
] | 2021-03-11 | [
[
"Farquhar",
"Sebastian",
""
],
[
"Smith",
"Lewis",
""
],
[
"Gal",
"Yarin",
""
]
] | We challenge the longstanding assumption that the mean-field approximation for variational inference in Bayesian neural networks is severely restrictive, and show this is not the case in deep networks. We prove several results indicating that deep mean-field variational weight posteriors can induce similar distribution... |
1303.2223 | C. Titus Brown | Eric McDonald and C. Titus Brown | khmer: Working with Big Data in Bioinformatics | Invited chapter for forthcoming book on Performance of Open Source
Applications | null | null | null | cs.CE q-bio.GN | http://creativecommons.org/licenses/by/3.0/ | We introduce design and optimization considerations for the 'khmer' package.
| [
{
"created": "Sat, 9 Mar 2013 15:34:25 GMT",
"version": "v1"
}
] | 2013-03-12 | [
[
"McDonald",
"Eric",
""
],
[
"Brown",
"C. Titus",
""
]
] | We introduce design and optimization considerations for the 'khmer' package. |
1009.3145 | Petros Boufounos | Petros T. Boufounos | Universal Rate-Efficient Scalar Quantization | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scalar quantization is the most practical and straightforward approach to
signal quantization. However, it has been shown that scalar quantization of
oversampled or Compressively Sensed signals can be inefficient in terms of the
rate-distortion trade-off, especially as the oversampling rate or the sparsity
of the sig... | [
{
"created": "Thu, 16 Sep 2010 11:14:09 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Oct 2010 17:56:24 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Jul 2011 23:53:44 GMT",
"version": "v3"
}
] | 2011-07-18 | [
[
"Boufounos",
"Petros T.",
""
]
] | Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively Sensed signals can be inefficient in terms of the rate-distortion trade-off, especially as the oversampling rate or the sparsity of the signa... |
2002.05153 | Andrew Bennett | Andrew Bennett and Nathan Kallus | Efficient Policy Learning from Surrogate-Loss Classification Reductions | null | null | null | null | cs.LG econ.EM math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work on policy learning from observational data has highlighted the
importance of efficient policy evaluation and has proposed reductions to
weighted (cost-sensitive) classification. But, efficient policy evaluation need
not yield efficient estimation of policy parameters. We consider the estimation
problem gi... | [
{
"created": "Wed, 12 Feb 2020 18:54:41 GMT",
"version": "v1"
}
] | 2020-02-13 | [
[
"Bennett",
"Andrew",
""
],
[
"Kallus",
"Nathan",
""
]
] | Recent work on policy learning from observational data has highlighted the importance of efficient policy evaluation and has proposed reductions to weighted (cost-sensitive) classification. But, efficient policy evaluation need not yield efficient estimation of policy parameters. We consider the estimation problem give... |
2011.09967 | Bin Wang | Wanshi Hong, Cong Zhang, Cy Chan, Bin Wang | Electric Vehicle Charging Infrastructure Planning: A Scalable
Computational Framework | null | null | null | null | cs.AI cs.NE eess.SP math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The optimal charging infrastructure planning problem over a large geospatial
area is challenging due to the increasing network sizes of the transportation
system and the electric grid. The coupling between the electric vehicle travel
behaviors and charging events is therefore complex. This paper focuses on the
demons... | [
{
"created": "Tue, 17 Nov 2020 16:48:07 GMT",
"version": "v1"
}
] | 2020-11-20 | [
[
"Hong",
"Wanshi",
""
],
[
"Zhang",
"Cong",
""
],
[
"Chan",
"Cy",
""
],
[
"Wang",
"Bin",
""
]
] | The optimal charging infrastructure planning problem over a large geospatial area is challenging due to the increasing network sizes of the transportation system and the electric grid. The coupling between the electric vehicle travel behaviors and charging events is therefore complex. This paper focuses on the demonstr... |
1502.06108 | Xiao Lin | Xiao Lin, Devi Parikh | Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense
for Non-Visual Tasks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial agents today can answer factual questions. But they fall short on
questions that require common sense reasoning. Perhaps this is because most
existing common sense databases rely on text to learn and represent knowledge.
But much of common sense knowledge is unwritten - partly because it tends not
to be in... | [
{
"created": "Sat, 21 Feb 2015 15:25:40 GMT",
"version": "v1"
},
{
"created": "Tue, 5 May 2015 18:54:05 GMT",
"version": "v2"
},
{
"created": "Wed, 29 Jul 2015 03:04:19 GMT",
"version": "v3"
}
] | 2015-07-30 | [
[
"Lin",
"Xiao",
""
],
[
"Parikh",
"Devi",
""
]
] | Artificial agents today can answer factual questions. But they fall short on questions that require common sense reasoning. Perhaps this is because most existing common sense databases rely on text to learn and represent knowledge. But much of common sense knowledge is unwritten - partly because it tends not to be inte... |
1612.07117 | Nam Khanh Tran | Nam Khanh Tran | Classification and Learning-to-rank Approaches for Cross-Device Matching
at CIKM Cup 2016 | CIKM Cup 2016 | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose two methods for tackling the problem of
cross-device matching for online advertising at CIKM Cup 2016. The first method
considers the matching problem as a binary classification task and solve it by
utilizing ensemble learning techniques. The second method defines the matching
problem as a r... | [
{
"created": "Tue, 20 Dec 2016 15:02:41 GMT",
"version": "v1"
}
] | 2016-12-22 | [
[
"Tran",
"Nam Khanh",
""
]
] | In this paper, we propose two methods for tackling the problem of cross-device matching for online advertising at CIKM Cup 2016. The first method considers the matching problem as a binary classification task and solve it by utilizing ensemble learning techniques. The second method defines the matching problem as a ran... |
2010.09810 | Congyu Wu | Congyu Wu | Connections between Relational Event Model and Inverse Reinforcement
Learning for Characterizing Group Interaction Sequences | null | null | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we explore previously unidentified connections between
relational event model (REM) from the field of network science and inverse
reinforcement learning (IRL) from the field of machine learning with respect to
their ability to characterize sequences of directed social interaction events
in group setting... | [
{
"created": "Mon, 19 Oct 2020 19:40:29 GMT",
"version": "v1"
}
] | 2020-10-21 | [
[
"Wu",
"Congyu",
""
]
] | In this paper we explore previously unidentified connections between relational event model (REM) from the field of network science and inverse reinforcement learning (IRL) from the field of machine learning with respect to their ability to characterize sequences of directed social interaction events in group settings.... |
2306.00858 | Simon Keizer | Simon Keizer, Caroline Dockes, Norbert Braunschweiler, Svetlana
Stoyanchev, Rama Doddipatla | Adversarial learning of neural user simulators for dialogue policy
optimisation | UK Speech 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Reinforcement learning based dialogue policies are typically trained in
interaction with a user simulator. To obtain an effective and robust policy,
this simulator should generate user behaviour that is both realistic and
varied. Current data-driven simulators are trained to accurately model the user
behaviour in a d... | [
{
"created": "Thu, 1 Jun 2023 16:17:16 GMT",
"version": "v1"
}
] | 2023-06-02 | [
[
"Keizer",
"Simon",
""
],
[
"Dockes",
"Caroline",
""
],
[
"Braunschweiler",
"Norbert",
""
],
[
"Stoyanchev",
"Svetlana",
""
],
[
"Doddipatla",
"Rama",
""
]
] | Reinforcement learning based dialogue policies are typically trained in interaction with a user simulator. To obtain an effective and robust policy, this simulator should generate user behaviour that is both realistic and varied. Current data-driven simulators are trained to accurately model the user behaviour in a dia... |
2408.02320 | Yuxin Chen | Gen Li and Yuting Wei and Yuejie Chi and Yuxin Chen | A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion
Models | This manuscript presents improved theory for probability flow ODEs
compared to its earlier version arXiv:2306.09251 | null | null | null | cs.LG cs.NA eess.SP math.NA math.ST stat.ML stat.TH | http://creativecommons.org/licenses/by/4.0/ | Diffusion models, which convert noise into new data instances by learning to
reverse a diffusion process, have become a cornerstone in contemporary
generative modeling. In this work, we develop non-asymptotic convergence theory
for a popular diffusion-based sampler (i.e., the probability flow ODE sampler)
in discrete... | [
{
"created": "Mon, 5 Aug 2024 09:02:24 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Li",
"Gen",
""
],
[
"Wei",
"Yuting",
""
],
[
"Chi",
"Yuejie",
""
],
[
"Chen",
"Yuxin",
""
]
] | Diffusion models, which convert noise into new data instances by learning to reverse a diffusion process, have become a cornerstone in contemporary generative modeling. In this work, we develop non-asymptotic convergence theory for a popular diffusion-based sampler (i.e., the probability flow ODE sampler) in discrete t... |
2105.04683 | Mattia Rigotti | Rong Zhu, Mattia Rigotti | Deep Bandits Show-Off: Simple and Efficient Exploration with Deep
Networks | null | 35th Conference on Neural Information Processing Systems (NeurIPS
2021), Sydney, Australia | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Designing efficient exploration is central to Reinforcement Learning due to
the fundamental problem posed by the exploration-exploitation dilemma. Bayesian
exploration strategies like Thompson Sampling resolve this trade-off in a
principled way by modeling and updating the distribution of the parameters of
the action... | [
{
"created": "Mon, 10 May 2021 21:45:01 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Oct 2021 09:28:25 GMT",
"version": "v2"
}
] | 2021-10-27 | [
[
"Zhu",
"Rong",
""
],
[
"Rigotti",
"Mattia",
""
]
] | Designing efficient exploration is central to Reinforcement Learning due to the fundamental problem posed by the exploration-exploitation dilemma. Bayesian exploration strategies like Thompson Sampling resolve this trade-off in a principled way by modeling and updating the distribution of the parameters of the action-v... |
2106.00846 | Babatunji Omoniwa | Babatunji Omoniwa, Riaz Hussain, Muhammad Adil, Atif Shakeel, Ahmed
Kamal Tahir, Qadeer Ul Hasan, and Shahzad A. Malik | An Optimal Relay Scheme for Outage Minimization in Fog-based
Internet-of-Things (IoT) Networks | Accepted and Published in IEEE Internet of Things Journal | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fog devices are beginning to play a key role in relaying data and services
within the Internet-of-Things (IoT) ecosystem. These relays may be static or
mobile, with the latter offering a new degree of freedom for performance
improvement via careful relay mobility design. Besides that, power conservation
has been a pr... | [
{
"created": "Tue, 1 Jun 2021 22:57:51 GMT",
"version": "v1"
}
] | 2021-06-03 | [
[
"Omoniwa",
"Babatunji",
""
],
[
"Hussain",
"Riaz",
""
],
[
"Adil",
"Muhammad",
""
],
[
"Shakeel",
"Atif",
""
],
[
"Tahir",
"Ahmed Kamal",
""
],
[
"Hasan",
"Qadeer Ul",
""
],
[
"Malik",
"Shahzad A.",
""
]
... | Fog devices are beginning to play a key role in relaying data and services within the Internet-of-Things (IoT) ecosystem. These relays may be static or mobile, with the latter offering a new degree of freedom for performance improvement via careful relay mobility design. Besides that, power conservation has been a prev... |
2008.08750 | Sayed Kamaledin Ghiasi-Shirazi | Ramin Zarei Sabzevar, Kamaledin Ghiasi-Shirazi, Ahad Harati | Prototype-based interpretation of the functionality of neurons in
winner-take-all neural networks | null | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prototype-based learning (PbL) using a winner-take-all (WTA) network based on
minimum Euclidean distance (ED-WTA) is an intuitive approach to multiclass
classification. By constructing meaningful class centers, PbL provides higher
interpretability and generalization than hyperplane-based learning (HbL)
methods based ... | [
{
"created": "Thu, 20 Aug 2020 03:15:37 GMT",
"version": "v1"
}
] | 2020-08-21 | [
[
"Sabzevar",
"Ramin Zarei",
""
],
[
"Ghiasi-Shirazi",
"Kamaledin",
""
],
[
"Harati",
"Ahad",
""
]
] | Prototype-based learning (PbL) using a winner-take-all (WTA) network based on minimum Euclidean distance (ED-WTA) is an intuitive approach to multiclass classification. By constructing meaningful class centers, PbL provides higher interpretability and generalization than hyperplane-based learning (HbL) methods based on... |
2011.05961 | Orpaz Goldstein | Orpaz Goldstein, Mohammad Kachuee, Derek Shiell, Majid Sarrafzadeh | Real-Time Decentralized knowledge Transfer at the Edge | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | The proliferation of edge networks creates islands of learning agents working
on local streams of data. Transferring knowledge between these agents in
real-time without exposing private data allows for collaboration to decrease
learning time and increase model confidence. Incorporating knowledge from data
that a loca... | [
{
"created": "Wed, 11 Nov 2020 18:26:57 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Dec 2020 00:16:58 GMT",
"version": "v2"
},
{
"created": "Tue, 28 Sep 2021 23:55:34 GMT",
"version": "v3"
},
{
"created": "Fri, 1 Oct 2021 16:12:29 GMT",
"version": "v4"
}
] | 2021-10-04 | [
[
"Goldstein",
"Orpaz",
""
],
[
"Kachuee",
"Mohammad",
""
],
[
"Shiell",
"Derek",
""
],
[
"Sarrafzadeh",
"Majid",
""
]
] | The proliferation of edge networks creates islands of learning agents working on local streams of data. Transferring knowledge between these agents in real-time without exposing private data allows for collaboration to decrease learning time and increase model confidence. Incorporating knowledge from data that a local ... |
2304.02560 | Kumara Kahatapitiya | Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo | VicTR: Video-conditioned Text Representations for Activity Recognition | To appear at CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision-Language models (VLMs) have excelled in the image-domain -- especially
in zero-shot settings -- thanks to the availability of vast pretraining data
(i.e., paired image-text samples). However for videos, such paired data is not
as abundant. Therefore, video-VLMs are usually designed by adapting pretrained
image... | [
{
"created": "Wed, 5 Apr 2023 16:30:36 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Mar 2024 16:56:33 GMT",
"version": "v2"
}
] | 2024-04-01 | [
[
"Kahatapitiya",
"Kumara",
""
],
[
"Arnab",
"Anurag",
""
],
[
"Nagrani",
"Arsha",
""
],
[
"Ryoo",
"Michael S.",
""
]
] | Vision-Language models (VLMs) have excelled in the image-domain -- especially in zero-shot settings -- thanks to the availability of vast pretraining data (i.e., paired image-text samples). However for videos, such paired data is not as abundant. Therefore, video-VLMs are usually designed by adapting pretrained image-V... |
2105.14465 | Pradipta Biswas | Gowdham Prabhakar and Pradipta Biswas | A Brief Survey on Interactive Automotive UI | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Automotive User Interface (AutoUI) is relatively a new discipline in the
context of both Transportation Engineering and Human Machine Interaction (HMI).
It covers various HMI aspects both inside and outside vehicle ranging from
operating the vehicle itself, undertaking various secondary tasks, driver
behaviour analys... | [
{
"created": "Sun, 30 May 2021 08:37:35 GMT",
"version": "v1"
}
] | 2021-06-01 | [
[
"Prabhakar",
"Gowdham",
""
],
[
"Biswas",
"Pradipta",
""
]
] | Automotive User Interface (AutoUI) is relatively a new discipline in the context of both Transportation Engineering and Human Machine Interaction (HMI). It covers various HMI aspects both inside and outside vehicle ranging from operating the vehicle itself, undertaking various secondary tasks, driver behaviour analysis... |
1707.03319 | Rahmat Widia Sembiring | Dewi Sartika Ginting, Kristin Sitompul, Jasael Simanulang, Rahmat
Widia Sembiring, Muhammad Zarlis | Modification of Symmetric Cryptography with Combining Affine Chiper and
Caesar Chiper which Dynamic Nature in Matrix of Chiper Transposition by
Applying Flow Pattern in the Planting Rice | 2nd International Conference of Computer, Environment, Social
Science, Health Science, Agriculture & Technology (ICEST) 2017 | Advances in Science, Technology and Engineering Systems Journal
(ASTESJ), Adv. Sci. Technol. Eng. Syst. J. 2(5), 1-5 (2017) | 10.25046/aj020502 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Classical cryptography is a way of disguising the news done by the people
when there was no computer. The goal is to protect information by way of
encoding. This paper describesa modification of classical algorithms to make
cryptanalis difficult to steal undisclosed messages. There are three types of
classical algori... | [
{
"created": "Tue, 11 Jul 2017 15:19:33 GMT",
"version": "v1"
}
] | 2017-07-12 | [
[
"Ginting",
"Dewi Sartika",
""
],
[
"Sitompul",
"Kristin",
""
],
[
"Simanulang",
"Jasael",
""
],
[
"Sembiring",
"Rahmat Widia",
""
],
[
"Zarlis",
"Muhammad",
""
]
] | Classical cryptography is a way of disguising the news done by the people when there was no computer. The goal is to protect information by way of encoding. This paper describesa modification of classical algorithms to make cryptanalis difficult to steal undisclosed messages. There are three types of classical algorith... |
2306.02658 | Etrit Haxholli | Etrit Haxholli, Marco Lorenzi | Faster Training of Diffusion Models and Improved Density Estimation via
Parallel Score Matching | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | In Diffusion Probabilistic Models (DPMs), the task of modeling the score
evolution via a single time-dependent neural network necessitates extended
training periods and may potentially impede modeling flexibility and capacity.
To counteract these challenges, we propose leveraging the independence of
learning tasks at... | [
{
"created": "Mon, 5 Jun 2023 07:47:30 GMT",
"version": "v1"
}
] | 2023-06-06 | [
[
"Haxholli",
"Etrit",
""
],
[
"Lorenzi",
"Marco",
""
]
] | In Diffusion Probabilistic Models (DPMs), the task of modeling the score evolution via a single time-dependent neural network necessitates extended training periods and may potentially impede modeling flexibility and capacity. To counteract these challenges, we propose leveraging the independence of learning tasks at d... |
2307.11335 | Wenbo Hu | Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu,
Yuewen Ma | Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural
Radiance Fields | Accepted to ICCV 2023 Project page:
https://wbhu.github.io/projects/Tri-MipRF | ICCV 2023 | null | null | cs.CV cs.AI cs.GR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Despite the tremendous progress in neural radiance fields (NeRF), we still
face a dilemma of the trade-off between quality and efficiency, e.g., MipNeRF
presents fine-detailed and anti-aliased renderings but takes days for training,
while Instant-ngp can accomplish the reconstruction in a few minutes but
suffers from... | [
{
"created": "Fri, 21 Jul 2023 03:47:28 GMT",
"version": "v1"
}
] | 2023-07-24 | [
[
"Hu",
"Wenbo",
""
],
[
"Wang",
"Yuling",
""
],
[
"Ma",
"Lin",
""
],
[
"Yang",
"Bangbang",
""
],
[
"Gao",
"Lin",
""
],
[
"Liu",
"Xiao",
""
],
[
"Ma",
"Yuewen",
""
]
] | Despite the tremendous progress in neural radiance fields (NeRF), we still face a dilemma of the trade-off between quality and efficiency, e.g., MipNeRF presents fine-detailed and anti-aliased renderings but takes days for training, while Instant-ngp can accomplish the reconstruction in a few minutes but suffers from b... |
1802.07546 | Johannes Fauser | Johannes Fauser and Georgios Sakas and Anirban Mukhopadhyay | Planning Nonlinear Access Paths for Temporal Bone Surgery | To be published in International Journal on Computer Assisted
Radiology and Surgery (IJCARS), Spl. Issue IPCAI 2018 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Purpose: Interventions at the otobasis operate in the narrow region of the
temporal bone where several highly sensitive organs define obstacles with
minimal clearance for surgical instruments. Nonlinear trajectories for
potential minimally-invasive interventions can provide larger distances to risk
structures and opt... | [
{
"created": "Wed, 21 Feb 2018 12:53:23 GMT",
"version": "v1"
}
] | 2018-02-22 | [
[
"Fauser",
"Johannes",
""
],
[
"Sakas",
"Georgios",
""
],
[
"Mukhopadhyay",
"Anirban",
""
]
] | Purpose: Interventions at the otobasis operate in the narrow region of the temporal bone where several highly sensitive organs define obstacles with minimal clearance for surgical instruments. Nonlinear trajectories for potential minimally-invasive interventions can provide larger distances to risk structures and optim... |
2112.02779 | Kwonyoung Ryu | Wei Dong, Kwonyoung Ryu, Michael Kaess, Jaesik Park | Revisiting LiDAR Registration and Reconstruction: A Range Image
Perspective | 14 pages, 9 figures. This paper is under the review | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spinning LiDAR data are prevalent for 3D vision tasks. Since LiDAR data is
presented in the form of point clouds, expensive 3D operations are usually
required. This paper revisits spinning LiDAR scan formation and presents a
cylindrical range image representation with a ray-wise projection/unprojection
model. It is b... | [
{
"created": "Mon, 6 Dec 2021 04:28:32 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Mar 2022 22:38:28 GMT",
"version": "v2"
}
] | 2022-03-30 | [
[
"Dong",
"Wei",
""
],
[
"Ryu",
"Kwonyoung",
""
],
[
"Kaess",
"Michael",
""
],
[
"Park",
"Jaesik",
""
]
] | Spinning LiDAR data are prevalent for 3D vision tasks. Since LiDAR data is presented in the form of point clouds, expensive 3D operations are usually required. This paper revisits spinning LiDAR scan formation and presents a cylindrical range image representation with a ray-wise projection/unprojection model. It is bui... |
2104.11568 | Lorin Sweeney | Lorin Sweeney, Graham Healy, Alan F. Smeaton | The Influence of Audio on Video Memorability with an Audio Gestalt
Regulated Video Memorability System | 6 pages, 3 figures, 4 tables, paper accepted in CBMI 2021 for
publication and oral presentation | null | 10.1109/CBMI50038.2021.9461903 | null | cs.MM cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Memories are the tethering threads that tie us to the world, and memorability
is the measure of their tensile strength. The threads of memory are spun from
fibres of many modalities, obscuring the contribution of a single fibre to a
thread's overall tensile strength. Unfurling these fibres is the key to
understanding... | [
{
"created": "Fri, 23 Apr 2021 12:53:33 GMT",
"version": "v1"
}
] | 2021-07-02 | [
[
"Sweeney",
"Lorin",
""
],
[
"Healy",
"Graham",
""
],
[
"Smeaton",
"Alan F.",
""
]
] | Memories are the tethering threads that tie us to the world, and memorability is the measure of their tensile strength. The threads of memory are spun from fibres of many modalities, obscuring the contribution of a single fibre to a thread's overall tensile strength. Unfurling these fibres is the key to understanding t... |
2105.01011 | Peng Liang | Liming Fu, Peng Liang, Xueying Li, Chen Yang | A Machine Learning Based Ensemble Method for Automatic Multiclass
Classification of Decisions | The 25th International Conference on Evaluation and Assessment in
Software Engineering (EASE) | null | 10.1145/3463274.3463325 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Stakeholders make various types of decisions with respect to requirements,
design, management, and so on during the software development life cycle.
Nevertheless, these decisions are typically not well documented and classified
due to limited human resources, time, and budget. To this end, automatic
approaches provid... | [
{
"created": "Mon, 3 May 2021 16:55:00 GMT",
"version": "v1"
},
{
"created": "Tue, 4 May 2021 04:21:23 GMT",
"version": "v2"
}
] | 2021-05-05 | [
[
"Fu",
"Liming",
""
],
[
"Liang",
"Peng",
""
],
[
"Li",
"Xueying",
""
],
[
"Yang",
"Chen",
""
]
] | Stakeholders make various types of decisions with respect to requirements, design, management, and so on during the software development life cycle. Nevertheless, these decisions are typically not well documented and classified due to limited human resources, time, and budget. To this end, automatic approaches provide ... |
2407.04272 | Dingwen Tao | Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan
Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen
Tao | Accelerating Communication in Deep Learning Recommendation Model
Training with Dual-Level Adaptive Lossy Compression | accepted by SC '24 | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | DLRM is a state-of-the-art recommendation system model that has gained
widespread adoption across various industry applications. The large size of
DLRM models, however, necessitates the use of multiple devices/GPUs for
efficient training. A significant bottleneck in this process is the
time-consuming all-to-all commu... | [
{
"created": "Fri, 5 Jul 2024 05:55:18 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jul 2024 05:53:10 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Jul 2024 15:31:53 GMT",
"version": "v3"
}
] | 2024-07-12 | [
[
"Feng",
"Hao",
""
],
[
"Zhang",
"Boyuan",
""
],
[
"Ye",
"Fanjiang",
""
],
[
"Si",
"Min",
""
],
[
"Chu",
"Ching-Hsiang",
""
],
[
"Tian",
"Jiannan",
""
],
[
"Yin",
"Chunxing",
""
],
[
"Deng",
"Sum... | DLRM is a state-of-the-art recommendation system model that has gained widespread adoption across various industry applications. The large size of DLRM models, however, necessitates the use of multiple devices/GPUs for efficient training. A significant bottleneck in this process is the time-consuming all-to-all communi... |
2403.02234 | Fangzhou Hong | Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi
Chen, Shuai Yang, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu | 3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors | Code available at https://github.com/3DTopia/3DTopia | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present a two-stage text-to-3D generation system, namely 3DTopia, which
generates high-quality general 3D assets within 5 minutes using hybrid
diffusion priors. The first stage samples from a 3D diffusion prior directly
learned from 3D data. Specifically, it is powered by a text-conditioned
tri-plane latent diffus... | [
{
"created": "Mon, 4 Mar 2024 17:26:28 GMT",
"version": "v1"
},
{
"created": "Tue, 7 May 2024 03:25:50 GMT",
"version": "v2"
}
] | 2024-05-08 | [
[
"Hong",
"Fangzhou",
""
],
[
"Tang",
"Jiaxiang",
""
],
[
"Cao",
"Ziang",
""
],
[
"Shi",
"Min",
""
],
[
"Wu",
"Tong",
""
],
[
"Chen",
"Zhaoxi",
""
],
[
"Yang",
"Shuai",
""
],
[
"Wang",
"Tengfei",
... | We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors. The first stage samples from a 3D diffusion prior directly learned from 3D data. Specifically, it is powered by a text-conditioned tri-plane latent diffusio... |
1510.05182 | Fereydoun Farrahi Moghaddam | Fereydoun Farrahi Moghaddam and Mohamed Cheriet | Sustainability-Aware Cloud Computing Using Virtual Carbon Tax | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a solution for sustainable cloud system is proposed and then
implemented on a real testbed. The solution composes of optimization of a
profit model and introduction of virtual carbon tax to limit environmental
footprint of the cloud. The proposed multi-criteria optimizer of the cloud
system suggests ne... | [
{
"created": "Sat, 17 Oct 2015 23:33:20 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Nov 2017 12:55:42 GMT",
"version": "v2"
}
] | 2017-11-02 | [
[
"Moghaddam",
"Fereydoun Farrahi",
""
],
[
"Cheriet",
"Mohamed",
""
]
] | In this paper, a solution for sustainable cloud system is proposed and then implemented on a real testbed. The solution composes of optimization of a profit model and introduction of virtual carbon tax to limit environmental footprint of the cloud. The proposed multi-criteria optimizer of the cloud system suggests new ... |
1705.08568 | Grant Storey | Grant Storey, Dillon Reisman, Jonathan Mayer, Arvind Narayanan | The Future of Ad Blocking: An Analytical Framework and New Techniques | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a systematic study of ad blocking - and the associated "arms race"
- as a security problem. We model ad blocking as a state space with four states
and six state transitions, which correspond to techniques that can be deployed
by either publishers or ad blockers. We argue that this is a complete model of
th... | [
{
"created": "Wed, 24 May 2017 00:28:51 GMT",
"version": "v1"
}
] | 2017-05-25 | [
[
"Storey",
"Grant",
""
],
[
"Reisman",
"Dillon",
""
],
[
"Mayer",
"Jonathan",
""
],
[
"Narayanan",
"Arvind",
""
]
] | We present a systematic study of ad blocking - and the associated "arms race" - as a security problem. We model ad blocking as a state space with four states and six state transitions, which correspond to techniques that can be deployed by either publishers or ad blockers. We argue that this is a complete model of the ... |
1603.05623 | Dimitri Van De Ville | Dimitri Van De Ville | Steering Macro-Scale Network Community Structure by Micro-Scale Features | 15 pages, 7 figures | null | null | null | cs.SI cs.CE cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network science plays an increasingly important role to model complex data in
many scientific disciplines. One notable feature of network organization is
community structure, which refers to clusters of tightly interconnected nodes.
A prominent problem is how to investigate the relationship between macro-scale
module... | [
{
"created": "Thu, 17 Mar 2016 19:11:46 GMT",
"version": "v1"
}
] | 2016-03-18 | [
[
"Van De Ville",
"Dimitri",
""
]
] | Network science plays an increasingly important role to model complex data in many scientific disciplines. One notable feature of network organization is community structure, which refers to clusters of tightly interconnected nodes. A prominent problem is how to investigate the relationship between macro-scale modules ... |
1710.08338 | Mehdi Samiee | M. Samiee, M. Zayernouri. Mark M. Meerschaert | A Unified Spectral Method for FPDEs with Two-sided Derivatives; A Fast
Solver | null | https://doi.org/10.1016/j.jcp.2018.02.014 | 10.1016/j.jcp.2018.02.014 | null | cs.CE math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a unified Petrov-Galerkin spectral method for a class of
fractional partial differential equations with two-sided derivatives and
constant coefficients of the form $ _{0}{\mathcal{D}}_{t}^{2\tau}u^{} +
\sum_{i=1}^{d}$ $[c_{l_i}$ $_{a_i}{\mathcal{D}}_{x_i}^{2\mu_i} u^{} +c_{r_i}$
$_{x_i}{\mathcal{D}}_{b_i}^... | [
{
"created": "Sun, 15 Oct 2017 20:49:56 GMT",
"version": "v1"
}
] | 2019-10-02 | [
[
"Samiee",
"M.",
""
],
[
"Meerschaert",
"M. Zayernouri. Mark M.",
""
]
] | We develop a unified Petrov-Galerkin spectral method for a class of fractional partial differential equations with two-sided derivatives and constant coefficients of the form $ _{0}{\mathcal{D}}_{t}^{2\tau}u^{} + \sum_{i=1}^{d}$ $[c_{l_i}$ $_{a_i}{\mathcal{D}}_{x_i}^{2\mu_i} u^{} +c_{r_i}$ $_{x_i}{\mathcal{D}}_{b_i}^{2... |
2201.07060 | Sourav Mondal | Sourav Mondal and Marco Ruffini | A Min-Max Fair Resource Allocation Framework for Optical x-haul and
DU/CU in Multi-tenant O-RANs | This article is accepted for publication in IEEE International
Conference on Communications (ICC) 2022. Copyright @ IEEE | null | null | null | cs.NI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The recently proposed open-radio access network (O-RAN) architecture embraces
cloudification and network function virtualization techniques to perform the
base-band function processing by dis-aggregated radio units (RUs), distributed
units (DUs), and centralized units (CUs). This enables the cloud-RAN vision in
full,... | [
{
"created": "Tue, 18 Jan 2022 15:38:16 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Jan 2022 18:29:09 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Jan 2022 03:56:32 GMT",
"version": "v3"
},
{
"created": "Tue, 22 Feb 2022 15:22:59 GMT",
"version": "v4"
}
] | 2022-02-23 | [
[
"Mondal",
"Sourav",
""
],
[
"Ruffini",
"Marco",
""
]
] | The recently proposed open-radio access network (O-RAN) architecture embraces cloudification and network function virtualization techniques to perform the base-band function processing by dis-aggregated radio units (RUs), distributed units (DUs), and centralized units (CUs). This enables the cloud-RAN vision in full, w... |
1905.11924 | Ari Kobren | Ari Kobren, Barna Saha, Andrew McCallum | Paper Matching with Local Fairness Constraints | Appears at KDD 2019 Research Track, 20 pages | null | null | null | cs.DS cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatically matching reviewers to papers is a crucial step of the peer
review process for venues receiving thousands of submissions. Unfortunately,
common paper matching algorithms often construct matchings suffering from two
critical problems: (1) the group of reviewers assigned to a paper do not
collectively poss... | [
{
"created": "Tue, 28 May 2019 16:36:51 GMT",
"version": "v1"
}
] | 2019-05-29 | [
[
"Kobren",
"Ari",
""
],
[
"Saha",
"Barna",
""
],
[
"McCallum",
"Andrew",
""
]
] | Automatically matching reviewers to papers is a crucial step of the peer review process for venues receiving thousands of submissions. Unfortunately, common paper matching algorithms often construct matchings suffering from two critical problems: (1) the group of reviewers assigned to a paper do not collectively posses... |
2406.03897 | Tzuf Paz-Argaman | Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, and Reut
Tsarfaty | HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew | null | ACL 2024 Findings | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | While large language models (LLMs) excel in various natural language tasks in
English, their performance in lower-resourced languages like Hebrew, especially
for generative tasks such as abstractive summarization, remains unclear. The
high morphological richness in Hebrew adds further challenges due to the
ambiguity ... | [
{
"created": "Thu, 6 Jun 2024 09:36:14 GMT",
"version": "v1"
},
{
"created": "Mon, 10 Jun 2024 05:45:25 GMT",
"version": "v2"
}
] | 2024-06-11 | [
[
"Paz-Argaman",
"Tzuf",
""
],
[
"Mondshine",
"Itai",
""
],
[
"Mordechai",
"Asaf Achi",
""
],
[
"Tsarfaty",
"Reut",
""
]
] | While large language models (LLMs) excel in various natural language tasks in English, their performance in lower-resourced languages like Hebrew, especially for generative tasks such as abstractive summarization, remains unclear. The high morphological richness in Hebrew adds further challenges due to the ambiguity in... |
2009.00530 | Duy Phan Mr | Phan The Duy, Do Thi Thu Hien, Van-Hau Pham | A survey on Blockchain-based applications for reforming data protection,
privacy and security | 8 pages, 2 figures | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | The modern society, economy and industry have been changed remarkably by many
cutting-edge technologies over the last years, and many more are in development
and early implementation that will in turn led even wider spread of adoptions
and greater alteration. Blockchain technology along with other rising ones is
expe... | [
{
"created": "Tue, 1 Sep 2020 16:04:57 GMT",
"version": "v1"
}
] | 2020-09-02 | [
[
"Duy",
"Phan The",
""
],
[
"Hien",
"Do Thi Thu",
""
],
[
"Pham",
"Van-Hau",
""
]
] | The modern society, economy and industry have been changed remarkably by many cutting-edge technologies over the last years, and many more are in development and early implementation that will in turn led even wider spread of adoptions and greater alteration. Blockchain technology along with other rising ones is expect... |
2006.12645 | Vinod Grover | Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover | Automatic Kernel Generation for Volta Tensor Cores | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A commonly occurring computation idiom in neural networks is to perform some
pointwise operations on the result of a matrix multiplication. Such a sequence
of operations is typically represented as a computation graph in deep learning
compilers. When compiling to a GPU target, these computations can be
individually m... | [
{
"created": "Mon, 22 Jun 2020 22:16:00 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jun 2020 22:20:24 GMT",
"version": "v2"
},
{
"created": "Sat, 1 Aug 2020 21:41:41 GMT",
"version": "v3"
}
] | 2020-08-04 | [
[
"Bhaskaracharya",
"Somashekaracharya G.",
""
],
[
"Demouth",
"Julien",
""
],
[
"Grover",
"Vinod",
""
]
] | A commonly occurring computation idiom in neural networks is to perform some pointwise operations on the result of a matrix multiplication. Such a sequence of operations is typically represented as a computation graph in deep learning compilers. When compiling to a GPU target, these computations can be individually map... |
2111.06995 | Zhimin Gao | Shuangyan Miao, Yonghong Hou, Zhimin Gao, Mingliang Xu, and Wanqing Li | A Central Difference Graph Convolutional Operator for Skeleton-Based
Action Recognition | Accepted by IEEE Transactions on Circuits and Systems for Video
Technology (TCSVT) | null | 10.1109/TCSVT.2021.3124562 | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper proposes a new graph convolutional operator called central
difference graph convolution (CDGC) for skeleton based action recognition. It
is not only able to aggregate node information like a vanilla graph
convolutional operation but also gradient information. Without introducing any
additional parameters, ... | [
{
"created": "Sat, 13 Nov 2021 00:02:57 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Miao",
"Shuangyan",
""
],
[
"Hou",
"Yonghong",
""
],
[
"Gao",
"Zhimin",
""
],
[
"Xu",
"Mingliang",
""
],
[
"Li",
"Wanqing",
""
]
] | This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate node information like a vanilla graph convolutional operation but also gradient information. Without introducing any additional parameters, CD... |
2303.16154 | Danko Nikolic | Danko Nikoli\'c, Davor Andri\'c, Vjekoslav Nikoli\'c | Guided Transfer Learning | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Machine learning requires exuberant amounts of data and computation. Also,
models require equally excessive growth in the number of parameters. It is,
therefore, sensible to look for technologies that reduce these demands on
resources. Here, we propose an approach called guided transfer learning. Each
weight and bias... | [
{
"created": "Sun, 26 Mar 2023 18:21:24 GMT",
"version": "v1"
}
] | 2023-03-29 | [
[
"Nikolić",
"Danko",
""
],
[
"Andrić",
"Davor",
""
],
[
"Nikolić",
"Vjekoslav",
""
]
] | Machine learning requires exuberant amounts of data and computation. Also, models require equally excessive growth in the number of parameters. It is, therefore, sensible to look for technologies that reduce these demands on resources. Here, we propose an approach called guided transfer learning. Each weight and bias i... |
1810.05934 | Liam Li | Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz
Hardt, Benjamin Recht, Ameet Talwalkar | A System for Massively Parallel Hyperparameter Tuning | v2: Corrected typo in Algorithm 1 v3: Added comparison to BOHB and
parallel version of synchronous SHA. Add PBT to experiment in Section 4.3.1
v4: Added acknowledgements and slight edit to related work | Conference on Machine Learning and Systems 2020 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern learning models are characterized by large hyperparameter spaces and
long training times. These properties, coupled with the rise of parallel
computing and the growing demand to productionize machine learning workloads,
motivate the need to develop mature hyperparameter optimization functionality
in distribute... | [
{
"created": "Sat, 13 Oct 2018 22:02:52 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Oct 2018 00:23:57 GMT",
"version": "v2"
},
{
"created": "Thu, 29 Nov 2018 04:41:42 GMT",
"version": "v3"
},
{
"created": "Wed, 23 Jan 2019 02:15:22 GMT",
"version": "v4"
},
{
"c... | 2020-03-17 | [
[
"Li",
"Liam",
""
],
[
"Jamieson",
"Kevin",
""
],
[
"Rostamizadeh",
"Afshin",
""
],
[
"Gonina",
"Ekaterina",
""
],
[
"Hardt",
"Moritz",
""
],
[
"Recht",
"Benjamin",
""
],
[
"Talwalkar",
"Ameet",
""
]
] | Modern learning models are characterized by large hyperparameter spaces and long training times. These properties, coupled with the rise of parallel computing and the growing demand to productionize machine learning workloads, motivate the need to develop mature hyperparameter optimization functionality in distributed ... |
1705.02883 | Umar Iqbal | Umar Iqbal, Andreas Doering, Hashim Yasin, Bj\"orn Kr\"uger, Andreas
Weber, Juergen Gall | A Dual-Source Approach for 3D Human Pose Estimation from a Single Image | under consideration at Computer Vision and Image Understanding.
Extended version of CVPR-2016 paper, arXiv:1509.06720 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we address the challenging problem of 3D human pose estimation
from single images. Recent approaches learn deep neural networks to regress 3D
pose directly from images. One major challenge for such methods, however, is
the collection of training data. Specifically, collecting large amounts of
training da... | [
{
"created": "Mon, 8 May 2017 14:03:48 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Sep 2017 13:24:52 GMT",
"version": "v2"
}
] | 2017-09-07 | [
[
"Iqbal",
"Umar",
""
],
[
"Doering",
"Andreas",
""
],
[
"Yasin",
"Hashim",
""
],
[
"Krüger",
"Björn",
""
],
[
"Weber",
"Andreas",
""
],
[
"Gall",
"Juergen",
""
]
] | In this work we address the challenging problem of 3D human pose estimation from single images. Recent approaches learn deep neural networks to regress 3D pose directly from images. One major challenge for such methods, however, is the collection of training data. Specifically, collecting large amounts of training data... |
2404.17597 | Alexander Rogiers | Alexander Rogiers, Maarten Buyl, Bo Kang, and Tijl De Bie | KamerRaad: Enhancing Information Retrieval in Belgian National Politics
through Hierarchical Summarization and Conversational Interfaces | 4 pages, 2 figures, submitted to 2024 ECML-PKDD demo track | null | null | null | cs.IR | http://creativecommons.org/licenses/by/4.0/ | KamerRaad is an AI tool that leverages large language models to help citizens
interactively engage with Belgian political information. The tool extracts and
concisely summarizes key excerpts from parliamentary proceedings, followed by
the potential for interaction based on generative AI that allows users to
steadily ... | [
{
"created": "Mon, 22 Apr 2024 15:01:39 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Rogiers",
"Alexander",
""
],
[
"Buyl",
"Maarten",
""
],
[
"Kang",
"Bo",
""
],
[
"De Bie",
"Tijl",
""
]
] | KamerRaad is an AI tool that leverages large language models to help citizens interactively engage with Belgian political information. The tool extracts and concisely summarizes key excerpts from parliamentary proceedings, followed by the potential for interaction based on generative AI that allows users to steadily bu... |
2202.11784 | Jiajia Zhang | Jiajia Zhang and Jiyuan Tian and Dibin Zhu and Yang Liu and Shyam
Prasad | Design and experimental investigation of a vibro-impact self-propelled
capsule robot with orientation control | ICRA 2022 Conference paper | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a novel design and experimental investigation for a
self-propelled capsule robot that can be used for painless colonoscopy during a
retrograde progression from the patient's rectum. The steerable robot is driven
forward and backward via its internal vibration and impact with orientation
control by... | [
{
"created": "Wed, 23 Feb 2022 21:00:32 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Mar 2022 18:52:30 GMT",
"version": "v2"
}
] | 2022-03-02 | [
[
"Zhang",
"Jiajia",
""
],
[
"Tian",
"Jiyuan",
""
],
[
"Zhu",
"Dibin",
""
],
[
"Liu",
"Yang",
""
],
[
"Prasad",
"Shyam",
""
]
] | This paper presents a novel design and experimental investigation for a self-propelled capsule robot that can be used for painless colonoscopy during a retrograde progression from the patient's rectum. The steerable robot is driven forward and backward via its internal vibration and impact with orientation control by u... |
2202.04513 | Tom Sterkenburg | Tom F. Sterkenburg, Peter D. Gr\"unwald | The no-free-lunch theorems of supervised learning | null | Synthese 199:9979-10015 (2021) | 10.1007/s11229-021-03233-1 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The no-free-lunch theorems promote a skeptical conclusion that all possible
machine learning algorithms equally lack justification. But how could this
leave room for a learning theory, that shows that some algorithms are better
than others? Drawing parallels to the philosophy of induction, we point out
that the no-fr... | [
{
"created": "Wed, 9 Feb 2022 15:24:30 GMT",
"version": "v1"
}
] | 2022-02-10 | [
[
"Sterkenburg",
"Tom F.",
""
],
[
"Grünwald",
"Peter D.",
""
]
] | The no-free-lunch theorems promote a skeptical conclusion that all possible machine learning algorithms equally lack justification. But how could this leave room for a learning theory, that shows that some algorithms are better than others? Drawing parallels to the philosophy of induction, we point out that the no-free... |
2307.09762 | Abhishek Ajayakumar | Abhishek Ajayakumar, Soumyendu Raha | Reinforcing POD-based model reduction techniques in reaction-diffusion
complex networks using stochastic filtering and pattern recognition | 19 pages, 6 figures | null | null | null | cs.CE cs.AI cs.LG math.OC | http://creativecommons.org/licenses/by/4.0/ | Complex networks are used to model many real-world systems. However, the
dimensionality of these systems can make them challenging to analyze.
Dimensionality reduction techniques like POD can be used in such cases.
However, these models are susceptible to perturbations in the input data. We
propose an algorithmic fra... | [
{
"created": "Wed, 19 Jul 2023 05:45:05 GMT",
"version": "v1"
},
{
"created": "Sat, 16 Sep 2023 14:09:43 GMT",
"version": "v2"
}
] | 2023-09-19 | [
[
"Ajayakumar",
"Abhishek",
""
],
[
"Raha",
"Soumyendu",
""
]
] | Complex networks are used to model many real-world systems. However, the dimensionality of these systems can make them challenging to analyze. Dimensionality reduction techniques like POD can be used in such cases. However, these models are susceptible to perturbations in the input data. We propose an algorithmic frame... |
2208.07601 | Wenhao Ye | Wenhao Ye, Huihui Wu, Shitong Wu, Yizhu Wang, Wenyi Zhang, Hao Wu and
Bo Bai | An Optimal Transport Approach to the Computation of the LM Rate | null | null | null | null | cs.IT math.IT stat.CO | http://creativecommons.org/licenses/by/4.0/ | Mismatch capacity characterizes the highest information rate for a channel
under a prescribed decoding metric, and is thus a highly relevant fundamental
performance metric when dealing with many practically important communication
scenarios. Compared with the frequently used generalized mutual information
(GMI), the ... | [
{
"created": "Tue, 16 Aug 2022 08:33:20 GMT",
"version": "v1"
}
] | 2022-08-17 | [
[
"Ye",
"Wenhao",
""
],
[
"Wu",
"Huihui",
""
],
[
"Wu",
"Shitong",
""
],
[
"Wang",
"Yizhu",
""
],
[
"Zhang",
"Wenyi",
""
],
[
"Wu",
"Hao",
""
],
[
"Bai",
"Bo",
""
]
] | Mismatch capacity characterizes the highest information rate for a channel under a prescribed decoding metric, and is thus a highly relevant fundamental performance metric when dealing with many practically important communication scenarios. Compared with the frequently used generalized mutual information (GMI), the LM... |
1401.1458 | Young-Ho Eom | Young-Ho Eom, Hang-Hyun Jo | Generalized friendship paradox in complex networks: The case of
scientific collaboration | Published in Scientific Reports. 9 pages, 3 figures | Scientific Reports 4, 4603 (2014) | 10.1038/srep04603 | null | cs.SI physics.data-an physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The friendship paradox states that your friends have on average more friends
than you have. Does the paradox "hold" for other individual characteristics
like income or happiness? To address this question, we generalize the
friendship paradox for arbitrary node characteristics in complex networks. By
analyzing two coa... | [
{
"created": "Tue, 7 Jan 2014 17:51:14 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Mar 2014 16:59:54 GMT",
"version": "v2"
},
{
"created": "Thu, 10 Apr 2014 09:21:46 GMT",
"version": "v3"
}
] | 2014-04-11 | [
[
"Eom",
"Young-Ho",
""
],
[
"Jo",
"Hang-Hyun",
""
]
] | The friendship paradox states that your friends have on average more friends than you have. Does the paradox "hold" for other individual characteristics like income or happiness? To address this question, we generalize the friendship paradox for arbitrary node characteristics in complex networks. By analyzing two coaut... |
2210.11065 | Digbalay Bose | Digbalay Bose, Rajat Hebbar, Krishna Somandepalli, Haoyang Zhang, Yin
Cui, Kree Cole-McLaughlin, Huisheng Wang, Shrikanth Narayanan | MovieCLIP: Visual Scene Recognition in Movies | Accepted to 2023 IEEE/CVF Winter Conference on Applications of
Computer Vision (WACV 2023). Project website with supplemental material:
https://sail.usc.edu/~mica/MovieCLIP/. Revised version with updated author
affiliations | null | null | null | cs.CV cs.CL cs.MM | http://creativecommons.org/licenses/by/4.0/ | Longform media such as movies have complex narrative structures, with events
spanning a rich variety of ambient visual scenes. Domain specific challenges
associated with visual scenes in movies include transitions, person coverage,
and a wide array of real-life and fictional scenarios. Existing visual scene
datasets ... | [
{
"created": "Thu, 20 Oct 2022 07:38:56 GMT",
"version": "v1"
},
{
"created": "Sun, 23 Oct 2022 01:25:13 GMT",
"version": "v2"
}
] | 2022-10-25 | [
[
"Bose",
"Digbalay",
""
],
[
"Hebbar",
"Rajat",
""
],
[
"Somandepalli",
"Krishna",
""
],
[
"Zhang",
"Haoyang",
""
],
[
"Cui",
"Yin",
""
],
[
"Cole-McLaughlin",
"Kree",
""
],
[
"Wang",
"Huisheng",
""
],
[... | Longform media such as movies have complex narrative structures, with events spanning a rich variety of ambient visual scenes. Domain specific challenges associated with visual scenes in movies include transitions, person coverage, and a wide array of real-life and fictional scenarios. Existing visual scene datasets in... |
1807.04040 | Jeevan Manavalan | Jeevan Manavalan, Matthew Howard | Learning Singularity Avoidance | null | null | null | null | cs.RO cs.LG | http://creativecommons.org/licenses/by/4.0/ | With the increase in complexity of robotic systems and the rise in non-expert
users, it can be assumed that task constraints are not explicitly known. In
tasks where avoiding singularity is critical to its success, this paper
provides an approach, especially for non-expert users, for the system to learn
the constrain... | [
{
"created": "Wed, 11 Jul 2018 09:46:05 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Mar 2019 22:03:01 GMT",
"version": "v2"
}
] | 2019-03-27 | [
[
"Manavalan",
"Jeevan",
""
],
[
"Howard",
"Matthew",
""
]
] | With the increase in complexity of robotic systems and the rise in non-expert users, it can be assumed that task constraints are not explicitly known. In tasks where avoiding singularity is critical to its success, this paper provides an approach, especially for non-expert users, for the system to learn the constraints... |
2005.09512 | Frederico Gadelha Guimaraes | Leonardo Augusto Ferreira and Frederico Gadelha Guimar\~aes and
Rodrigo Silva | Applying Genetic Programming to Improve Interpretability in Machine
Learning Models | 8 pages, 8 figures, submitted and accepted to 2020 IEEE Congress on
Evolutionary Computation (IEEE CEC 2020). Copyright 2020 IEEE. Personal use
of this material is permitted. Permission from IEEE must be obtained for all
other uses | null | null | null | cs.LG cs.AI cs.NE cs.SC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explainable Artificial Intelligence (or xAI) has become an important research
topic in the fields of Machine Learning and Deep Learning. In this paper, we
propose a Genetic Programming (GP) based approach, named Genetic Programming
Explainer (GPX), to the problem of explaining decisions computed by AI systems.
The me... | [
{
"created": "Mon, 18 May 2020 16:09:49 GMT",
"version": "v1"
}
] | 2020-05-20 | [
[
"Ferreira",
"Leonardo Augusto",
""
],
[
"Guimarães",
"Frederico Gadelha",
""
],
[
"Silva",
"Rodrigo",
""
]
] | Explainable Artificial Intelligence (or xAI) has become an important research topic in the fields of Machine Learning and Deep Learning. In this paper, we propose a Genetic Programming (GP) based approach, named Genetic Programming Explainer (GPX), to the problem of explaining decisions computed by AI systems. The meth... |
2011.14365 | Weifeng Zhu | Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo | A Targeted Universal Attack on Graph Convolutional Network | null | null | null | null | cs.LG cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph-structured data exist in numerous applications in real life. As a
state-of-the-art graph neural network, the graph convolutional network (GCN)
plays an important role in processing graph-structured data. However, a recent
study reported that GCNs are also vulnerable to adversarial attacks, which
means that GCN ... | [
{
"created": "Sun, 29 Nov 2020 13:19:53 GMT",
"version": "v1"
}
] | 2020-12-01 | [
[
"Dai",
"Jiazhu",
""
],
[
"Zhu",
"Weifeng",
""
],
[
"Luo",
"Xiangfeng",
""
]
] | Graph-structured data exist in numerous applications in real life. As a state-of-the-art graph neural network, the graph convolutional network (GCN) plays an important role in processing graph-structured data. However, a recent study reported that GCNs are also vulnerable to adversarial attacks, which means that GCN mo... |
2202.05977 | Yc Huo | Hangming Fan, Rui Wang, Yuchi Huo, Hujun Bao | Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction
Network | null | Computer Graphics Forum. 2021, 40(4): 15-27 | 10.1111/cgf.14338 | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real-time Monte Carlo denoising aims at removing severe noise under low
samples per pixel (spp) in a strict time budget. Recently, kernel-prediction
methods use a neural network to predict each pixel's filtering kernel and have
shown a great potential to remove Monte Carlo noise. However, the heavy
computation overhe... | [
{
"created": "Sat, 12 Feb 2022 04:21:37 GMT",
"version": "v1"
},
{
"created": "Fri, 25 Feb 2022 09:16:14 GMT",
"version": "v2"
}
] | 2022-02-28 | [
[
"Fan",
"Hangming",
""
],
[
"Wang",
"Rui",
""
],
[
"Huo",
"Yuchi",
""
],
[
"Bao",
"Hujun",
""
]
] | Real-time Monte Carlo denoising aims at removing severe noise under low samples per pixel (spp) in a strict time budget. Recently, kernel-prediction methods use a neural network to predict each pixel's filtering kernel and have shown a great potential to remove Monte Carlo noise. However, the heavy computation overhead... |
2211.14742 | YuTeng Ye | YuTeng Ye, Hang Zhou, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle
Wang, Qiang Hu, Junqing Yu, Wei Yang | Dynamic Feature Pruning and Consolidation for Occluded Person
Re-Identification | Accepted by AAAI-24 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Occluded person re-identification (ReID) is a challenging problem due to
contamination from occluders. Existing approaches address the issue with prior
knowledge cues, such as human body key points and semantic segmentations, which
easily fail in the presence of heavy occlusion and other humans as occluders.
In this ... | [
{
"created": "Sun, 27 Nov 2022 06:18:40 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Dec 2023 04:06:43 GMT",
"version": "v2"
}
] | 2023-12-22 | [
[
"Ye",
"YuTeng",
""
],
[
"Zhou",
"Hang",
""
],
[
"Cai",
"Jiale",
""
],
[
"Gao",
"Chenxing",
""
],
[
"Zhang",
"Youjia",
""
],
[
"Wang",
"Junle",
""
],
[
"Hu",
"Qiang",
""
],
[
"Yu",
"Junqing",
... | Occluded person re-identification (ReID) is a challenging problem due to contamination from occluders. Existing approaches address the issue with prior knowledge cues, such as human body key points and semantic segmentations, which easily fail in the presence of heavy occlusion and other humans as occluders. In this pa... |
1709.05365 | Myoungsoo Jung | Sungjoon Koh, Jie Zhang, Miryeong Kwon, Jungyeon Yoon, David Donofrio,
Namsung Kim and Myoungsoo Jung | Understanding System Characteristics of Online Erasure Coding on
Scalable, Distributed and Large-Scale SSD Array Systems | This paper is accepted by and will be published at 2017 IEEE
International Symposium on Workload Characterization | null | null | null | cs.DC cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale systems with arrays of solid state disks (SSDs) have become
increasingly common in many computing segments. To make such systems resilient,
we can adopt erasure coding such as Reed-Solomon (RS) code as an alternative to
replication because erasure coding can offer a significantly lower storage cost
than r... | [
{
"created": "Thu, 14 Sep 2017 14:14:10 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Sep 2017 04:14:56 GMT",
"version": "v2"
}
] | 2017-09-20 | [
[
"Koh",
"Sungjoon",
""
],
[
"Zhang",
"Jie",
""
],
[
"Kwon",
"Miryeong",
""
],
[
"Yoon",
"Jungyeon",
""
],
[
"Donofrio",
"David",
""
],
[
"Kim",
"Namsung",
""
],
[
"Jung",
"Myoungsoo",
""
]
] | Large-scale systems with arrays of solid state disks (SSDs) have become increasingly common in many computing segments. To make such systems resilient, we can adopt erasure coding such as Reed-Solomon (RS) code as an alternative to replication because erasure coding can offer a significantly lower storage cost than rep... |
1703.02197 | EPTCS | Minghui Ma (Sun Yat-Sen University), Ahti-Veikko Pietarinen (Tallinn
University of Technology) | Graphical Sequent Calculi for Modal Logics | In Proceedings M4M9 2017, arXiv:1703.01736 | EPTCS 243, 2017, pp. 91-103 | 10.4204/EPTCS.243.7 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The syntax of modal graphs is defined in terms of the continuous cut and
broken cut following Charles Peirce's notation in the gamma part of his
graphical logic of existential graphs. Graphical calculi for normal modal
logics are developed based on a reformulation of the graphical calculus for
classical propositional... | [
{
"created": "Tue, 7 Mar 2017 03:16:38 GMT",
"version": "v1"
}
] | 2017-03-08 | [
[
"Ma",
"Minghui",
"",
"Sun Yat-Sen University"
],
[
"Pietarinen",
"Ahti-Veikko",
"",
"Tallinn\n University of Technology"
]
] | The syntax of modal graphs is defined in terms of the continuous cut and broken cut following Charles Peirce's notation in the gamma part of his graphical logic of existential graphs. Graphical calculi for normal modal logics are developed based on a reformulation of the graphical calculus for classical propositional l... |
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