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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2401.06503 | Chandler Timm Doloriel | Chandler Timm C. Doloriel and Rhandley D. Cajote | Improving the Detection of Small Oriented Objects in Aerial Images | C. T. C. Doloriel and R. D. Cajote, "Improving the Detection of Small
Oriented Objects in Aerial Images," 2023 IEEE/CVF Winter Conference on
Applications of Computer Vision Workshops (WACVW), Waikoloa, HI, USA, 2023,
pp. 176-185, doi: 10.1109/WACVW58289.2023.00023 | null | 10.1109/WACVW58289.2023.00023 | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Small oriented objects that represent tiny pixel-area in large-scale aerial
images are difficult to detect due to their size and orientation. Existing
oriented aerial detectors have shown promising results but are mainly focused
on orientation modeling with less regard to the size of the objects. In this
work, we pro... | [
{
"created": "Fri, 12 Jan 2024 11:00:07 GMT",
"version": "v1"
}
] | 2024-01-15 | [
[
"Doloriel",
"Chandler Timm C.",
""
],
[
"Cajote",
"Rhandley D.",
""
]
] | Small oriented objects that represent tiny pixel-area in large-scale aerial images are difficult to detect due to their size and orientation. Existing oriented aerial detectors have shown promising results but are mainly focused on orientation modeling with less regard to the size of the objects. In this work, we propo... |
2002.12852 | Sushant Veer | Sushant Veer and Anirudha Majumdar | Probably Approximately Correct Vision-Based Planning using Motion
Primitives | null | null | null | null | cs.RO cs.LG cs.SY eess.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an approach for learning vision-based planners that
provably generalize to novel environments (i.e., environments unseen during
training). We leverage the Probably Approximately Correct (PAC)-Bayes framework
to obtain an upper bound on the expected cost of policies across all
environments. Minimiz... | [
{
"created": "Fri, 28 Feb 2020 16:29:59 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Nov 2020 02:38:21 GMT",
"version": "v2"
}
] | 2020-11-11 | [
[
"Veer",
"Sushant",
""
],
[
"Majumdar",
"Anirudha",
""
]
] | This paper presents an approach for learning vision-based planners that provably generalize to novel environments (i.e., environments unseen during training). We leverage the Probably Approximately Correct (PAC)-Bayes framework to obtain an upper bound on the expected cost of policies across all environments. Minimizin... |
1706.02171 | Vahid Jamali | Vahid Jamali and Arman Ahmadzadeh and Nariman Farsad and Robert
Schober | SCW Codes for Maximum Likelihood Detection in Diffusive Molecular
Communications without Channel State Information | This paper has been submitted to IEEE Transaction on Communications.
arXiv admin note: text overlap with arXiv:1701.06338 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Instantaneous or statistical channel state information (CSI) is needed for
most detection schemes developed for molecular communication (MC) systems.
Since the MC channel changes over time, e.g., due to variations in the velocity
of flow, the temperature, or the distance between transmitter and receiver, CSI
acquisit... | [
{
"created": "Tue, 6 Jun 2017 10:32:25 GMT",
"version": "v1"
}
] | 2017-06-08 | [
[
"Jamali",
"Vahid",
""
],
[
"Ahmadzadeh",
"Arman",
""
],
[
"Farsad",
"Nariman",
""
],
[
"Schober",
"Robert",
""
]
] | Instantaneous or statistical channel state information (CSI) is needed for most detection schemes developed for molecular communication (MC) systems. Since the MC channel changes over time, e.g., due to variations in the velocity of flow, the temperature, or the distance between transmitter and receiver, CSI acquisitio... |
2005.11527 | Daoyuan Wu | Daoyuan Wu and Debin Gao and Robert H. Deng and Rocky K. C. Chang | When Program Analysis Meets Bytecode Search: Targeted and Efficient
Inter-procedural Analysis of Modern Android Apps in BackDroid | null | null | null | null | cs.CR cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Widely-used Android static program analysis tools, e.g., Amandroid and
FlowDroid, perform the whole-app inter-procedural analysis that is
comprehensive but fundamentally difficult to handle modern (large) apps. The
average app size has increased three to four times over five years. In this
paper, we explore a new par... | [
{
"created": "Sat, 23 May 2020 12:50:28 GMT",
"version": "v1"
}
] | 2020-05-26 | [
[
"Wu",
"Daoyuan",
""
],
[
"Gao",
"Debin",
""
],
[
"Deng",
"Robert H.",
""
],
[
"Chang",
"Rocky K. C.",
""
]
] | Widely-used Android static program analysis tools, e.g., Amandroid and FlowDroid, perform the whole-app inter-procedural analysis that is comprehensive but fundamentally difficult to handle modern (large) apps. The average app size has increased three to four times over five years. In this paper, we explore a new parad... |
1711.11513 | Gijs Wijnholds | Michael Moortgat and Gijs Wijnholds | Lexical and Derivational Meaning in Vector-Based Models of
Relativisation | 10 page version to appear in Proceedings Amsterdam Colloquium,
updated with appendix | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sadrzadeh et al (2013) present a compositional distributional analysis of
relative clauses in English in terms of the Frobenius algebraic structure of
finite dimensional vector spaces. The analysis relies on distinct type
assignments and lexical recipes for subject vs object relativisation. The
situation for Dutch is... | [
{
"created": "Thu, 30 Nov 2017 17:02:52 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Dec 2017 17:47:18 GMT",
"version": "v2"
}
] | 2017-12-04 | [
[
"Moortgat",
"Michael",
""
],
[
"Wijnholds",
"Gijs",
""
]
] | Sadrzadeh et al (2013) present a compositional distributional analysis of relative clauses in English in terms of the Frobenius algebraic structure of finite dimensional vector spaces. The analysis relies on distinct type assignments and lexical recipes for subject vs object relativisation. The situation for Dutch is d... |
1902.11131 | Md. Abu Bakr Siddique | Shadman Sakib, Md. Abu Bakr Siddique | Unsupervised Segmentation Algorithms' Implementation in ITK for Tissue
Classification via Human Head MRI Scans | 4 Pages, 2 Tables | null | null | null | cs.CV cs.DC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Tissue classification is one of the significant tasks in the field of
biomedical image analysis. Magnetic Resonance Imaging (MRI) is of great
importance in tissue classification especially in the areas of brain tissue
classification which is able to recognize anatomical areas of interest such as
surgical planning, mo... | [
{
"created": "Tue, 26 Feb 2019 12:48:43 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Apr 2019 11:12:16 GMT",
"version": "v2"
},
{
"created": "Thu, 16 Jan 2020 02:40:10 GMT",
"version": "v3"
},
{
"created": "Sat, 25 Jan 2020 12:11:55 GMT",
"version": "v4"
}
] | 2020-01-28 | [
[
"Sakib",
"Shadman",
""
],
[
"Siddique",
"Md. Abu Bakr",
""
]
] | Tissue classification is one of the significant tasks in the field of biomedical image analysis. Magnetic Resonance Imaging (MRI) is of great importance in tissue classification especially in the areas of brain tissue classification which is able to recognize anatomical areas of interest such as surgical planning, moni... |
2206.00103 | Han Wang | Xinyan Li, Han Wang, Chunyang Chen, John Grundy | An Empirical Study on How Well Do COVID-19 Information Dashboards
Service Users' Information Needs | null | IEEE Transactions on Services Computing (2021) | 10.1109/TSC.2021.3114673 | null | cs.HC cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ongoing COVID-19 pandemic highlights the importance of dashboards for
providing critical real-time information. In order to enable people to obtain
information in time and to understand complex statistical data, many developers
have designed and implemented public-oriented COVID-19 "information dashboards"
during... | [
{
"created": "Mon, 30 May 2022 02:14:23 GMT",
"version": "v1"
}
] | 2022-06-02 | [
[
"Li",
"Xinyan",
""
],
[
"Wang",
"Han",
""
],
[
"Chen",
"Chunyang",
""
],
[
"Grundy",
"John",
""
]
] | The ongoing COVID-19 pandemic highlights the importance of dashboards for providing critical real-time information. In order to enable people to obtain information in time and to understand complex statistical data, many developers have designed and implemented public-oriented COVID-19 "information dashboards" during t... |
1406.1833 | Kenneth Stanley | Paul A. Szerlip, Gregory Morse, Justin K. Pugh, and Kenneth O. Stanley | Unsupervised Feature Learning through Divergent Discriminative Feature
Accumulation | Corrected citation formatting | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unlike unsupervised approaches such as autoencoders that learn to reconstruct
their inputs, this paper introduces an alternative approach to unsupervised
feature learning called divergent discriminative feature accumulation (DDFA)
that instead continually accumulates features that make novel discriminations
among the... | [
{
"created": "Fri, 6 Jun 2014 23:45:03 GMT",
"version": "v1"
},
{
"created": "Tue, 10 Jun 2014 03:37:45 GMT",
"version": "v2"
}
] | 2014-06-11 | [
[
"Szerlip",
"Paul A.",
""
],
[
"Morse",
"Gregory",
""
],
[
"Pugh",
"Justin K.",
""
],
[
"Stanley",
"Kenneth O.",
""
]
] | Unlike unsupervised approaches such as autoencoders that learn to reconstruct their inputs, this paper introduces an alternative approach to unsupervised feature learning called divergent discriminative feature accumulation (DDFA) that instead continually accumulates features that make novel discriminations among the t... |
2210.14560 | Zhengjie Yang | Zhengjie Yang, Sen Fu, Wei Bao, Dong Yuan, and Albert Y. Zomaya | Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier
Networks | 18 pages, 5 figures | null | null | null | cs.LG cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose Hierarchical Federated Learning with Momentum
Acceleration (HierMo), a three-tier worker-edge-cloud federated learning
algorithm that applies momentum for training acceleration. Momentum is
calculated and aggregated in the three tiers. We provide convergence analysis
for HierMo, showing a co... | [
{
"created": "Wed, 26 Oct 2022 08:35:37 GMT",
"version": "v1"
}
] | 2022-10-27 | [
[
"Yang",
"Zhengjie",
""
],
[
"Fu",
"Sen",
""
],
[
"Bao",
"Wei",
""
],
[
"Yuan",
"Dong",
""
],
[
"Zomaya",
"Albert Y.",
""
]
] | In this paper, we propose Hierarchical Federated Learning with Momentum Acceleration (HierMo), a three-tier worker-edge-cloud federated learning algorithm that applies momentum for training acceleration. Momentum is calculated and aggregated in the three tiers. We provide convergence analysis for HierMo, showing a conv... |
1909.06653 | Gramoz Goranci | Gramoz Goranci, Monika Henzinger, Dariusz Leniowski | A Tree Structure For Dynamic Facility Location | An extended abstract appeared at the 26th Annual European Symposium
on Algorithms (ESA) 2018 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the metric facility location problem with client insertions and
deletions. This setting differs from the classic dynamic facility location
problem, where the set of clients remains the same, but the metric space can
change over time. We show a deterministic algorithm that maintains a constant
factor approxim... | [
{
"created": "Sat, 14 Sep 2019 18:48:51 GMT",
"version": "v1"
}
] | 2019-09-17 | [
[
"Goranci",
"Gramoz",
""
],
[
"Henzinger",
"Monika",
""
],
[
"Leniowski",
"Dariusz",
""
]
] | We study the metric facility location problem with client insertions and deletions. This setting differs from the classic dynamic facility location problem, where the set of clients remains the same, but the metric space can change over time. We show a deterministic algorithm that maintains a constant factor approximat... |
2401.13613 | Naresh Lahajal Kumar | Naresh Kumar Lahajal and Harini S | Enhancing Image Retrieval : A Comprehensive Study on Photo Search using
the CLIP Mode | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Photo search, the task of retrieving images based on textual queries, has
witnessed significant advancements with the introduction of CLIP (Contrastive
Language-Image Pretraining) model. CLIP leverages a vision-language pre
training approach, wherein it learns a shared representation space for images
and text, enabli... | [
{
"created": "Wed, 24 Jan 2024 17:35:38 GMT",
"version": "v1"
}
] | 2024-01-25 | [
[
"Lahajal",
"Naresh Kumar",
""
],
[
"S",
"Harini",
""
]
] | Photo search, the task of retrieving images based on textual queries, has witnessed significant advancements with the introduction of CLIP (Contrastive Language-Image Pretraining) model. CLIP leverages a vision-language pre training approach, wherein it learns a shared representation space for images and text, enabling... |
2307.16342 | Boyang Li | Boyang Li, Bingyu Shen, Qing Lu, Taeho Jung, Yiyu Shi | Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain
Based on Federated Learning | 7 pages, 7 figures | null | null | null | cs.LG cs.AI cs.CR | http://creativecommons.org/licenses/by/4.0/ | The continuous thriving of the Blockchain society motivates research in novel
designs of schemes supporting cryptocurrencies. Previously multiple
Proof-of-Deep-Learning(PoDL) consensuses have been proposed to replace hashing
with useful work such as deep learning model training tasks. The energy will be
more efficien... | [
{
"created": "Sun, 30 Jul 2023 23:39:58 GMT",
"version": "v1"
}
] | 2023-08-01 | [
[
"Li",
"Boyang",
""
],
[
"Shen",
"Bingyu",
""
],
[
"Lu",
"Qing",
""
],
[
"Jung",
"Taeho",
""
],
[
"Shi",
"Yiyu",
""
]
] | The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) consensuses have been proposed to replace hashing with useful work such as deep learning model training tasks. The energy will be more efficientl... |
2102.01297 | Pedro J. Rivera Torres | Pedro J. Rivera Torres, Carlos Gershenson Garc\'ia, Samir Kanaan
Izquierdo | Reinforcement Learning with Probabilistic Boolean Network Models of
Smart Grid Devices | null | null | null | null | cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | The area of Smart Power Grids needs to constantly improve its efficiency and
resilience, to pro-vide high quality electrical power, in a resistant grid,
managing faults and avoiding failures. Achieving this requires high component
reliability, adequate maintenance, and a studied failure occurrence. Correct
system ope... | [
{
"created": "Tue, 2 Feb 2021 04:13:30 GMT",
"version": "v1"
}
] | 2021-02-03 | [
[
"Torres",
"Pedro J. Rivera",
""
],
[
"García",
"Carlos Gershenson",
""
],
[
"Izquierdo",
"Samir Kanaan",
""
]
] | The area of Smart Power Grids needs to constantly improve its efficiency and resilience, to pro-vide high quality electrical power, in a resistant grid, managing faults and avoiding failures. Achieving this requires high component reliability, adequate maintenance, and a studied failure occurrence. Correct system opera... |
2112.13562 | Rui Wang | Tao Wang and Rui Wang and Di Jin and Dongxiao He and Yuxiao Huang | Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism
for Homophily and Heterophily | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph Convolutional Networks (GCNs) have been widely applied in various
fields due to their significant power on processing graph-structured data.
Typical GCN and its variants work under a homophily assumption (i.e., nodes
with same class are prone to connect to each other), while ignoring the
heterophily which exist... | [
{
"created": "Mon, 27 Dec 2021 08:19:23 GMT",
"version": "v1"
}
] | 2021-12-28 | [
[
"Wang",
"Tao",
""
],
[
"Wang",
"Rui",
""
],
[
"Jin",
"Di",
""
],
[
"He",
"Dongxiao",
""
],
[
"Huang",
"Yuxiao",
""
]
] | Graph Convolutional Networks (GCNs) have been widely applied in various fields due to their significant power on processing graph-structured data. Typical GCN and its variants work under a homophily assumption (i.e., nodes with same class are prone to connect to each other), while ignoring the heterophily which exists ... |
1207.0261 | Yutaka Hori | Yutaka Hori and Shinji Hara | Biochemical Oscillations in Delayed Negative Cyclic Feedback: Harmonic
Balance Analysis with Applications | Appendix A and some references have been added | null | null | null | cs.SY math.OC q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Oscillatory chemical reactions often serve as a timing clock of cellular
processes in living cells. The temporal dynamics of protein concentration
levels is thus of great interest in biology. Here we propose a theoretical
framework to analyze the frequency, phase and amplitude of oscillatory protein
concentrations in... | [
{
"created": "Mon, 2 Jul 2012 01:01:42 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Dec 2012 08:08:57 GMT",
"version": "v2"
}
] | 2015-03-20 | [
[
"Hori",
"Yutaka",
""
],
[
"Hara",
"Shinji",
""
]
] | Oscillatory chemical reactions often serve as a timing clock of cellular processes in living cells. The temporal dynamics of protein concentration levels is thus of great interest in biology. Here we propose a theoretical framework to analyze the frequency, phase and amplitude of oscillatory protein concentrations in g... |
2208.12020 | Zihuai Lin | Likun Sui, Zihuai Lin, Pei Xiao, Branka Vucetic | Performance Analysis for Reconfigurable Intelligent Surface Assisted
MIMO Systems | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the maximal achievable rate for a given average error
probability and blocklength for the reconfigurable intelligent surface (RIS)
assisted multiple-input and multiple-output (MIMO) system. The result consists
of a finite blocklength channel coding achievability bound and a converse bound
base... | [
{
"created": "Thu, 25 Aug 2022 11:54:43 GMT",
"version": "v1"
}
] | 2022-08-26 | [
[
"Sui",
"Likun",
""
],
[
"Lin",
"Zihuai",
""
],
[
"Xiao",
"Pei",
""
],
[
"Vucetic",
"Branka",
""
]
] | This paper investigates the maximal achievable rate for a given average error probability and blocklength for the reconfigurable intelligent surface (RIS) assisted multiple-input and multiple-output (MIMO) system. The result consists of a finite blocklength channel coding achievability bound and a converse bound based ... |
1301.3551 | Luis Sanchez Giraldo | Luis G. Sanchez Giraldo and Jose C. Principe | Information Theoretic Learning with Infinitely Divisible Kernels | Modified submission for International Conference on Learning
Representations 2013 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we develop a framework for information theoretic learning
based on infinitely divisible matrices. We formulate an entropy-like functional
on positive definite matrices based on Renyi's axiomatic definition of entropy
and examine some key properties of this functional that lead to the concept of
infinit... | [
{
"created": "Wed, 16 Jan 2013 01:49:52 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Mar 2013 06:40:01 GMT",
"version": "v2"
},
{
"created": "Fri, 22 Mar 2013 14:53:42 GMT",
"version": "v3"
},
{
"created": "Tue, 16 Apr 2013 00:12:21 GMT",
"version": "v4"
},
{
"c... | 2013-06-05 | [
[
"Giraldo",
"Luis G. Sanchez",
""
],
[
"Principe",
"Jose C.",
""
]
] | In this paper, we develop a framework for information theoretic learning based on infinitely divisible matrices. We formulate an entropy-like functional on positive definite matrices based on Renyi's axiomatic definition of entropy and examine some key properties of this functional that lead to the concept of infinite ... |
2304.06708 | Liliane Momeni | Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman,
Cordelia Schmid | Verbs in Action: Improving verb understanding in video-language models | null | null | null | null | cs.CV cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding verbs is crucial to modelling how people and objects interact
with each other and the environment through space and time. Recently,
state-of-the-art video-language models based on CLIP have been shown to have
limited verb understanding and to rely extensively on nouns, restricting their
performance in r... | [
{
"created": "Thu, 13 Apr 2023 17:57:01 GMT",
"version": "v1"
}
] | 2023-04-14 | [
[
"Momeni",
"Liliane",
""
],
[
"Caron",
"Mathilde",
""
],
[
"Nagrani",
"Arsha",
""
],
[
"Zisserman",
"Andrew",
""
],
[
"Schmid",
"Cordelia",
""
]
] | Understanding verbs is crucial to modelling how people and objects interact with each other and the environment through space and time. Recently, state-of-the-art video-language models based on CLIP have been shown to have limited verb understanding and to rely extensively on nouns, restricting their performance in rea... |
2406.06611 | Raffaele Romagnoli | Raffaele Romagnoli, Jasmine Ratchford, Mark H. Klein | Building Hybrid B-Spline And Neural Network Operators | null | null | null | null | cs.LG cs.AI cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Control systems are indispensable for ensuring the safety of cyber-physical
systems (CPS), spanning various domains such as automobiles, airplanes, and
missiles. Safeguarding CPS necessitates runtime methodologies that continuously
monitor safety-critical conditions and respond in a verifiably safe manner. A
fundamen... | [
{
"created": "Thu, 6 Jun 2024 21:54:59 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Romagnoli",
"Raffaele",
""
],
[
"Ratchford",
"Jasmine",
""
],
[
"Klein",
"Mark H.",
""
]
] | Control systems are indispensable for ensuring the safety of cyber-physical systems (CPS), spanning various domains such as automobiles, airplanes, and missiles. Safeguarding CPS necessitates runtime methodologies that continuously monitor safety-critical conditions and respond in a verifiably safe manner. A fundamenta... |
2004.08745 | Jonah Philion | Jonah Philion, Amlan Kar, Sanja Fidler | Learning to Evaluate Perception Models Using Planner-Centric Metrics | CVPR 2020 poster | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Variants of accuracy and precision are the gold-standard by which the
computer vision community measures progress of perception algorithms. One
reason for the ubiquity of these metrics is that they are largely
task-agnostic; we in general seek to detect zero false negatives or positives.
The downside of these metrics... | [
{
"created": "Sun, 19 Apr 2020 02:14:00 GMT",
"version": "v1"
}
] | 2020-04-21 | [
[
"Philion",
"Jonah",
""
],
[
"Kar",
"Amlan",
""
],
[
"Fidler",
"Sanja",
""
]
] | Variants of accuracy and precision are the gold-standard by which the computer vision community measures progress of perception algorithms. One reason for the ubiquity of these metrics is that they are largely task-agnostic; we in general seek to detect zero false negatives or positives. The downside of these metrics i... |
1804.10146 | Stefan Gerdjikov | Stefan Gerdjikov | Note on the Lower Bounds of Bimachines | null | null | null | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This is a brief note on the lower bound of bimachines. Particularly, we
report that there is a class of functional transducers with $O(n)$ states that
do not admit a bimachine with fewer than $\Theta(2^n)$ states.
| [
{
"created": "Sat, 14 Apr 2018 11:41:32 GMT",
"version": "v1"
}
] | 2018-04-27 | [
[
"Gerdjikov",
"Stefan",
""
]
] | This is a brief note on the lower bound of bimachines. Particularly, we report that there is a class of functional transducers with $O(n)$ states that do not admit a bimachine with fewer than $\Theta(2^n)$ states. |
1912.03049 | Timoth\'ee Lesort | Timoth\'ee Lesort, Andrei Stoian, David Filliat | Regularization Shortcomings for Continual Learning | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | In most machine learning algorithms, training data is assumed to be
independent and identically distributed (iid). When it is not the case, the
algorithm's performances are challenged, leading to the famous phenomenon of
catastrophic forgetting. Algorithms dealing with it are gathered in the
Continual Learning resear... | [
{
"created": "Fri, 6 Dec 2019 10:11:18 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Feb 2020 12:10:55 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Dec 2020 17:25:56 GMT",
"version": "v3"
},
{
"created": "Sun, 4 Apr 2021 00:21:23 GMT",
"version": "v4"
}
] | 2021-04-06 | [
[
"Lesort",
"Timothée",
""
],
[
"Stoian",
"Andrei",
""
],
[
"Filliat",
"David",
""
]
] | In most machine learning algorithms, training data is assumed to be independent and identically distributed (iid). When it is not the case, the algorithm's performances are challenged, leading to the famous phenomenon of catastrophic forgetting. Algorithms dealing with it are gathered in the Continual Learning research... |
2307.08152 | Jingqing Zhang | Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa
Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo | The Potential and Pitfalls of using a Large Language Model such as
ChatGPT or GPT-4 as a Clinical Assistant | This manuscript is pre-print and in peer review. Supplementary
materials will be published later | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Recent studies have demonstrated promising performance of ChatGPT and GPT-4
on several medical domain tasks. However, none have assessed its performance
using a large-scale real-world electronic health record database, nor have
evaluated its utility in providing clinical diagnostic assistance for patients
across a fu... | [
{
"created": "Sun, 16 Jul 2023 21:19:47 GMT",
"version": "v1"
}
] | 2023-07-18 | [
[
"Zhang",
"Jingqing",
""
],
[
"Sun",
"Kai",
""
],
[
"Jagadeesh",
"Akshay",
""
],
[
"Ghahfarokhi",
"Mahta",
""
],
[
"Gupta",
"Deepa",
""
],
[
"Gupta",
"Ashok",
""
],
[
"Gupta",
"Vibhor",
""
],
[
"Guo"... | Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated its utility in providing clinical diagnostic assistance for patients across a full... |
2101.09710 | Gerrit Ecke | Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot | Exploitation of Image Statistics with Sparse Coding in the Case of
Stereo Vision | Author's accepted manuscript | Neural Networks, Volume 135, 2021, Pages 158-176 | 10.1016/j.neunet.2020.12.016 | null | cs.CV q-bio.NC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The sparse coding algorithm has served as a model for early processing in
mammalian vision. It has been assumed that the brain uses sparse coding to
exploit statistical properties of the sensory stream. We hypothesize that
sparse coding discovers patterns from the data set, which can be used to
estimate a set of stim... | [
{
"created": "Sun, 24 Jan 2021 12:45:25 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Jan 2021 22:24:16 GMT",
"version": "v2"
}
] | 2021-01-28 | [
[
"Ecke",
"Gerrit A.",
""
],
[
"Papp",
"Harald M.",
""
],
[
"Mallot",
"Hanspeter A.",
""
]
] | The sparse coding algorithm has served as a model for early processing in mammalian vision. It has been assumed that the brain uses sparse coding to exploit statistical properties of the sensory stream. We hypothesize that sparse coding discovers patterns from the data set, which can be used to estimate a set of stimul... |
2310.14025 | Maria Lymperaiou | Anastasia Kritharoula, Maria Lymperaiou and Giorgos Stamou | Large Language Models and Multimodal Retrieval for Visual Word Sense
Disambiguation | Conference on Empirical Methods in Natural Language Processing
(EMNLP) 2023 | Proceedings of the 2023 Conference on Empirical Methods in Natural
Language Processing | 10.18653/v1/2023.emnlp-main.807 | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Visual Word Sense Disambiguation (VWSD) is a novel challenging task with the
goal of retrieving an image among a set of candidates, which better represents
the meaning of an ambiguous word within a given context. In this paper, we make
a substantial step towards unveiling this interesting task by applying a
varying s... | [
{
"created": "Sat, 21 Oct 2023 14:35:42 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Kritharoula",
"Anastasia",
""
],
[
"Lymperaiou",
"Maria",
""
],
[
"Stamou",
"Giorgos",
""
]
] | Visual Word Sense Disambiguation (VWSD) is a novel challenging task with the goal of retrieving an image among a set of candidates, which better represents the meaning of an ambiguous word within a given context. In this paper, we make a substantial step towards unveiling this interesting task by applying a varying set... |
1711.11217 | Takuma Yagi | Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato | Future Person Localization in First-Person Videos | Accepted to CVPR 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new task that predicts future locations of people observed in
first-person videos. Consider a first-person video stream continuously recorded
by a wearable camera. Given a short clip of a person that is extracted from the
complete stream, we aim to predict that person's location in future frames. To
faci... | [
{
"created": "Thu, 30 Nov 2017 04:16:03 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Mar 2018 01:29:15 GMT",
"version": "v2"
}
] | 2018-03-29 | [
[
"Yagi",
"Takuma",
""
],
[
"Mangalam",
"Karttikeya",
""
],
[
"Yonetani",
"Ryo",
""
],
[
"Sato",
"Yoichi",
""
]
] | We present a new task that predicts future locations of people observed in first-person videos. Consider a first-person video stream continuously recorded by a wearable camera. Given a short clip of a person that is extracted from the complete stream, we aim to predict that person's location in future frames. To facili... |
1801.05916 | Shuhua Liu | Shuhua Monica Liu (1), Liting Pan (1), Xiaowei Chen (1) ((1)
Department of Public Administration, Fudan University, Shanghai, China) | Citation Analysis of Innovative ICT and Advances of Governance
(2008-2017) | Corrected first author's name spelling and added authors' affiliation
in the metadata | null | null | null | cs.SI cs.CY cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper opens by introducing the Internet Plus Government (IPG), a new
government initiative emerging in the last decade. To understand benefits and
challenges associated with this initiative worldwide, we conducted analyses on
research articles published in the e-governance area between 2008 and 2017.
Content ana... | [
{
"created": "Thu, 18 Jan 2018 02:57:25 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jan 2018 12:32:25 GMT",
"version": "v2"
}
] | 2018-01-25 | [
[
"Liu",
"Shuhua Monica",
""
],
[
"Pan",
"Liting",
""
],
[
"Chen",
"Xiaowei",
""
]
] | This paper opens by introducing the Internet Plus Government (IPG), a new government initiative emerging in the last decade. To understand benefits and challenges associated with this initiative worldwide, we conducted analyses on research articles published in the e-governance area between 2008 and 2017. Content analy... |
2112.03517 | Kyungmin Jo | Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo | CG-NeRF: Conditional Generative Neural Radiance Fields | null | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While recent NeRF-based generative models achieve the generation of diverse
3D-aware images, these approaches have limitations when generating images that
contain user-specified characteristics. In this paper, we propose a novel
model, referred to as the conditional generative neural radiance fields
(CG-NeRF), which ... | [
{
"created": "Tue, 7 Dec 2021 05:57:58 GMT",
"version": "v1"
}
] | 2021-12-08 | [
[
"Jo",
"Kyungmin",
""
],
[
"Shim",
"Gyumin",
""
],
[
"Jung",
"Sanghun",
""
],
[
"Yang",
"Soyoung",
""
],
[
"Choo",
"Jaegul",
""
]
] | While recent NeRF-based generative models achieve the generation of diverse 3D-aware images, these approaches have limitations when generating images that contain user-specified characteristics. In this paper, we propose a novel model, referred to as the conditional generative neural radiance fields (CG-NeRF), which ca... |
2407.11522 | Zhi Gao | Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash
Harandi, Yunde Jia, Song-Chun Zhu, Qing Li | FIRE: A Dataset for Feedback Integration and Refinement Evaluation of
Multimodal Models | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Vision language models (VLMs) have achieved impressive progress in diverse
applications, becoming a prevalent research direction. In this paper, we build
FIRE, a feedback-refinement dataset, consisting of 1.1M multi-turn
conversations that are derived from 27 source datasets, empowering VLMs to
spontaneously refine t... | [
{
"created": "Tue, 16 Jul 2024 09:00:45 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Li",
"Pengxiang",
""
],
[
"Gao",
"Zhi",
""
],
[
"Zhang",
"Bofei",
""
],
[
"Yuan",
"Tao",
""
],
[
"Wu",
"Yuwei",
""
],
[
"Harandi",
"Mehrtash",
""
],
[
"Jia",
"Yunde",
""
],
[
"Zhu",
"Song-Chun"... | Vision language models (VLMs) have achieved impressive progress in diverse applications, becoming a prevalent research direction. In this paper, we build FIRE, a feedback-refinement dataset, consisting of 1.1M multi-turn conversations that are derived from 27 source datasets, empowering VLMs to spontaneously refine the... |
1804.09661 | Aaron Jaech | Aaron Jaech and Mari Ostendorf | Personalized Language Model for Query Auto-Completion | ACL 2018 | null | null | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Query auto-completion is a search engine feature whereby the system suggests
completed queries as the user types. Recently, the use of a recurrent neural
network language model was suggested as a method of generating query
completions. We show how an adaptable language model can be used to generate
personalized compl... | [
{
"created": "Wed, 25 Apr 2018 16:26:39 GMT",
"version": "v1"
}
] | 2018-04-26 | [
[
"Jaech",
"Aaron",
""
],
[
"Ostendorf",
"Mari",
""
]
] | Query auto-completion is a search engine feature whereby the system suggests completed queries as the user types. Recently, the use of a recurrent neural network language model was suggested as a method of generating query completions. We show how an adaptable language model can be used to generate personalized complet... |
2208.01588 | Vivek Kumar Singh Ph.D. | Anurag Kanaujia, Prashasti Singh, Abhirup Nandy, Vivek Kumar Singh | Research Contribution of major Centrally Funded Institution Systems of
India | null | null | null | null | cs.DL | http://creativecommons.org/licenses/by/4.0/ | India is now among the major knowledge producers of the world, ranking among
the top 5 countries in total research output, as per some recent reports. The
institutional setup for Research & Development (R&D) in India comprises a
diverse set of Institutions, including Universities, government departments,
research lab... | [
{
"created": "Tue, 2 Aug 2022 16:52:56 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Kanaujia",
"Anurag",
""
],
[
"Singh",
"Prashasti",
""
],
[
"Nandy",
"Abhirup",
""
],
[
"Singh",
"Vivek Kumar",
""
]
] | India is now among the major knowledge producers of the world, ranking among the top 5 countries in total research output, as per some recent reports. The institutional setup for Research & Development (R&D) in India comprises a diverse set of Institutions, including Universities, government departments, research labor... |
2309.09881 | Johannes Busch | Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L.
Vielhaus, Roberto Calandra, Frank H. P. Fitzek | Deep Reinforcement Learning for the Joint Control of Traffic Light
Signaling and Vehicle Speed Advice | 6 pages, 2 figures, accepted for publication at IEEE ICMLA 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traffic congestion in dense urban centers presents an economical and
environmental burden. In recent years, the availability of vehicle-to-anything
communication allows for the transmission of detailed vehicle states to the
infrastructure that can be used for intelligent traffic light control. The
other way around, t... | [
{
"created": "Mon, 18 Sep 2023 15:45:22 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Busch",
"Johannes V. S.",
""
],
[
"Voelckner",
"Robert",
""
],
[
"Sossalla",
"Peter",
""
],
[
"Vielhaus",
"Christian L.",
""
],
[
"Calandra",
"Roberto",
""
],
[
"Fitzek",
"Frank H. P.",
""
]
] | Traffic congestion in dense urban centers presents an economical and environmental burden. In recent years, the availability of vehicle-to-anything communication allows for the transmission of detailed vehicle states to the infrastructure that can be used for intelligent traffic light control. The other way around, the... |
2403.14885 | Konrad Kulakowski | Jacek Szybowski, Konrad Ku{\l}akowski, Jiri Mazurek, Sebastian Ernst | Establishing a leader in a pairwise comparisons method | 9 figures, 19 pages | null | null | null | cs.AI cs.CR cs.CY cs.DM | http://creativecommons.org/licenses/by/4.0/ | Abstract Like electoral systems, decision-making methods are also vulnerable
to manipulation by decision-makers. The ability to effectively defend against
such threats can only come from thoroughly understanding the manipulation
mechanisms. In the presented article, we show two algorithms that can be used
to launch a... | [
{
"created": "Thu, 21 Mar 2024 23:42:00 GMT",
"version": "v1"
}
] | 2024-03-25 | [
[
"Szybowski",
"Jacek",
""
],
[
"Kułakowski",
"Konrad",
""
],
[
"Mazurek",
"Jiri",
""
],
[
"Ernst",
"Sebastian",
""
]
] | Abstract Like electoral systems, decision-making methods are also vulnerable to manipulation by decision-makers. The ability to effectively defend against such threats can only come from thoroughly understanding the manipulation mechanisms. In the presented article, we show two algorithms that can be used to launch a m... |
2312.00279 | Xingqiu He | Xingqiu He, Chaoqun You, Tony Q. S. Quek | Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement
Learning Approach | null | null | null | null | cs.LG cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid development of Mobile Edge Computing (MEC), various real-time
applications have been deployed to benefit people's daily lives. The
performance of these applications relies heavily on the freshness of collected
environmental information, which can be quantified by its Age of Information
(AoI). In the tr... | [
{
"created": "Fri, 1 Dec 2023 01:30:49 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Feb 2024 01:55:34 GMT",
"version": "v2"
}
] | 2024-02-26 | [
[
"He",
"Xingqiu",
""
],
[
"You",
"Chaoqun",
""
],
[
"Quek",
"Tony Q. S.",
""
]
] | With the rapid development of Mobile Edge Computing (MEC), various real-time applications have been deployed to benefit people's daily lives. The performance of these applications relies heavily on the freshness of collected environmental information, which can be quantified by its Age of Information (AoI). In the trad... |
2102.05918 | Chao Jia | Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham,
Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig | Scaling Up Visual and Vision-Language Representation Learning With Noisy
Text Supervision | ICML 2021 | International Conference on Machine Learning 2021 | null | null | cs.CV cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pre-trained representations are becoming crucial for many NLP and perception
tasks. While representation learning in NLP has transitioned to training on raw
text without human annotations, visual and vision-language representations
still rely heavily on curated training datasets that are expensive or require
expert k... | [
{
"created": "Thu, 11 Feb 2021 10:08:12 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Jun 2021 07:51:39 GMT",
"version": "v2"
}
] | 2021-06-14 | [
[
"Jia",
"Chao",
""
],
[
"Yang",
"Yinfei",
""
],
[
"Xia",
"Ye",
""
],
[
"Chen",
"Yi-Ting",
""
],
[
"Parekh",
"Zarana",
""
],
[
"Pham",
"Hieu",
""
],
[
"Le",
"Quoc V.",
""
],
[
"Sung",
"Yunhsuan",
... | Pre-trained representations are becoming crucial for many NLP and perception tasks. While representation learning in NLP has transitioned to training on raw text without human annotations, visual and vision-language representations still rely heavily on curated training datasets that are expensive or require expert kno... |
2306.03316 | Jiaqing Yuan | Jiaqing Yuan and Michele Merler and Mihir Choudhury and Raju Pavuluri
and Munindar P. Singh and Maja Vukovic | CoSiNES: Contrastive Siamese Network for Entity Standardization | Accepted by Matching Workshop at ACL2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Entity standardization maps noisy mentions from free-form text to standard
entities in a knowledge base. The unique challenge of this task relative to
other entity-related tasks is the lack of surrounding context and numerous
variations in the surface form of the mentions, especially when it comes to
generalization a... | [
{
"created": "Mon, 5 Jun 2023 23:58:40 GMT",
"version": "v1"
}
] | 2023-06-07 | [
[
"Yuan",
"Jiaqing",
""
],
[
"Merler",
"Michele",
""
],
[
"Choudhury",
"Mihir",
""
],
[
"Pavuluri",
"Raju",
""
],
[
"Singh",
"Munindar P.",
""
],
[
"Vukovic",
"Maja",
""
]
] | Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base. The unique challenge of this task relative to other entity-related tasks is the lack of surrounding context and numerous variations in the surface form of the mentions, especially when it comes to generalization acr... |
2001.09084 | Dogan Altan | Dogan Altan, Sanem Sariel | What went wrong?: Identification of Everyday Object Manipulation
Anomalies | null | null | null | null | cs.RO eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Extending the abilities of service robots is important for expanding what
they can achieve in everyday manipulation tasks. On the other hand, it is also
essential to ensure them to determine what they can not achieve in certain
cases due to either anomalies or permanent failures during task execution.
Robots need to ... | [
{
"created": "Fri, 24 Jan 2020 16:51:41 GMT",
"version": "v1"
}
] | 2020-01-27 | [
[
"Altan",
"Dogan",
""
],
[
"Sariel",
"Sanem",
""
]
] | Extending the abilities of service robots is important for expanding what they can achieve in everyday manipulation tasks. On the other hand, it is also essential to ensure them to determine what they can not achieve in certain cases due to either anomalies or permanent failures during task execution. Robots need to id... |
2203.05360 | Yu Tang Liu | Yu Tang Liu, Eric Price, Michael J. Black, Aamir Ahmad | Deep Residual Reinforcement Learning based Autonomous Blimp Control | null | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Blimps are well suited to perform long-duration aerial tasks as they are
energy efficient, relatively silent and safe. To address the blimp navigation
and control task, in previous work we developed a hardware and
software-in-the-loop framework and a PID-based controller for large blimps in
the presence of wind distu... | [
{
"created": "Thu, 10 Mar 2022 13:23:33 GMT",
"version": "v1"
}
] | 2022-03-11 | [
[
"Liu",
"Yu Tang",
""
],
[
"Price",
"Eric",
""
],
[
"Black",
"Michael J.",
""
],
[
"Ahmad",
"Aamir",
""
]
] | Blimps are well suited to perform long-duration aerial tasks as they are energy efficient, relatively silent and safe. To address the blimp navigation and control task, in previous work we developed a hardware and software-in-the-loop framework and a PID-based controller for large blimps in the presence of wind disturb... |
2308.12059 | Niklas Deckers | Niklas Deckers, Julia Peters, Martin Potthast | Manipulating Embeddings of Stable Diffusion Prompts | IJCAI 2024 camera ready version | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Prompt engineering is still the primary way for users of generative
text-to-image models to manipulate generated images in a targeted way. Based on
treating the model as a continuous function and by passing gradients between
the image space and the prompt embedding space, we propose and analyze a new
method to direct... | [
{
"created": "Wed, 23 Aug 2023 10:59:41 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Jun 2024 16:58:19 GMT",
"version": "v2"
}
] | 2024-06-25 | [
[
"Deckers",
"Niklas",
""
],
[
"Peters",
"Julia",
""
],
[
"Potthast",
"Martin",
""
]
] | Prompt engineering is still the primary way for users of generative text-to-image models to manipulate generated images in a targeted way. Based on treating the model as a continuous function and by passing gradients between the image space and the prompt embedding space, we propose and analyze a new method to directly... |
2007.14938 | Tiankui Zhang | Congshan Fan, Tiankui Zhang, Yuanwei Liu and Zhiming Zeng | Cache-enabled HetNets with Limited Backhaul: A Stochastic Geometry Model | null | null | 10.1109/TCOMM.2020.3013633 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rapid explosion of data volume from mobile networks, edge caching
has received significant attentions as an efficient approach to boost content
delivery efficiency by bringing contents near users. In this article,
cache-enabled heterogeneous networks (HetNets) considering the limited backhaul
is analyzed wit... | [
{
"created": "Wed, 29 Jul 2020 16:24:37 GMT",
"version": "v1"
}
] | 2020-08-13 | [
[
"Fan",
"Congshan",
""
],
[
"Zhang",
"Tiankui",
""
],
[
"Liu",
"Yuanwei",
""
],
[
"Zeng",
"Zhiming",
""
]
] | With the rapid explosion of data volume from mobile networks, edge caching has received significant attentions as an efficient approach to boost content delivery efficiency by bringing contents near users. In this article, cache-enabled heterogeneous networks (HetNets) considering the limited backhaul is analyzed with ... |
0809.2553 | Paul Vitanyi | Paul M.B. Vitanyi (CWI and Univ. Amsterdam), Frank J. Balbach (Univ.
Waterloo), Rudi L. Cilibrasi (CWI), and Ming Li (Univ. Waterloo) | Normalized Information Distance | 33 pages, 12 figures, pdf, in: Normalized information distance, in:
Information Theory and Statistical Learning, Eds. M. Dehmer, F.
Emmert-Streib, Springer-Verlag, New-York, To appear | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The normalized information distance is a universal distance measure for
objects of all kinds. It is based on Kolmogorov complexity and thus
uncomputable, but there are ways to utilize it. First, compression algorithms
can be used to approximate the Kolmogorov complexity if the objects have a
string representation. Se... | [
{
"created": "Mon, 15 Sep 2008 15:33:11 GMT",
"version": "v1"
}
] | 2008-09-16 | [
[
"Vitanyi",
"Paul M. B.",
"",
"CWI and Univ. Amsterdam"
],
[
"Balbach",
"Frank J.",
"",
"Univ.\n Waterloo"
],
[
"Cilibrasi",
"Rudi L.",
"",
"CWI"
],
[
"Li",
"Ming",
"",
"Univ. Waterloo"
]
] | The normalized information distance is a universal distance measure for objects of all kinds. It is based on Kolmogorov complexity and thus uncomputable, but there are ways to utilize it. First, compression algorithms can be used to approximate the Kolmogorov complexity if the objects have a string representation. Seco... |
2212.09975 | Yuyao Huang | Yuyao Huang, Tingzhao Fu, Honghao Huang, Sigang Yang, Hongwei Chen | Sophisticated deep learning with on-chip optical diffractive tensor
processing | null | null | null | null | cs.ET cs.LG physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever-growing deep learning technologies are making revolutionary changes
for modern life. However, conventional computing architectures are designed to
process sequential and digital programs, being extremely burdened with
performing massive parallel and adaptive deep learning applications. Photonic
integrated ci... | [
{
"created": "Tue, 20 Dec 2022 03:33:26 GMT",
"version": "v1"
}
] | 2022-12-21 | [
[
"Huang",
"Yuyao",
""
],
[
"Fu",
"Tingzhao",
""
],
[
"Huang",
"Honghao",
""
],
[
"Yang",
"Sigang",
""
],
[
"Chen",
"Hongwei",
""
]
] | The ever-growing deep learning technologies are making revolutionary changes for modern life. However, conventional computing architectures are designed to process sequential and digital programs, being extremely burdened with performing massive parallel and adaptive deep learning applications. Photonic integrated circ... |
2111.11384 | Ramviyas Parasuraman | Aiman Munir and Ramviyas Parasuraman | Analysis of Exploration vs. Exploitation in Adaptive Information
Sampling | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adaptive information sampling approaches enable efficient selection of mobile
robot's waypoints through which accurate sensing and mapping of a physical
process, such as the radiation or field intensity, can be obtained. This paper
analyzes the role of exploration and exploitation in such information-theoretic
spatia... | [
{
"created": "Mon, 22 Nov 2021 17:47:44 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Munir",
"Aiman",
""
],
[
"Parasuraman",
"Ramviyas",
""
]
] | Adaptive information sampling approaches enable efficient selection of mobile robot's waypoints through which accurate sensing and mapping of a physical process, such as the radiation or field intensity, can be obtained. This paper analyzes the role of exploration and exploitation in such information-theoretic spatial ... |
1710.00110 | Sayed Hadi Hashemi | Sayed Hadi Hashemi, Faraz Faghri, Roy H Campbell | Decentralized User-Centric Access Control using PubSub over Blockchain | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a mechanism that puts users in the center of control and empowers
them to dictate the access to their collections of data. Revisiting the
fundamental mechanisms in security for providing protection, our solution uses
capabilities, access lists, and access rights following well-understood formal
notions for... | [
{
"created": "Fri, 29 Sep 2017 22:22:28 GMT",
"version": "v1"
}
] | 2017-10-03 | [
[
"Hashemi",
"Sayed Hadi",
""
],
[
"Faghri",
"Faraz",
""
],
[
"Campbell",
"Roy H",
""
]
] | We present a mechanism that puts users in the center of control and empowers them to dictate the access to their collections of data. Revisiting the fundamental mechanisms in security for providing protection, our solution uses capabilities, access lists, and access rights following well-understood formal notions for r... |
2101.06189 | Samuel Yen-Chi Chen | Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae
Yoo | Hybrid Quantum-Classical Graph Convolutional Network | null | null | null | null | cs.LG cs.CV hep-ex physics.data-an quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The high energy physics (HEP) community has a long history of dealing with
large-scale datasets. To manage such voluminous data, classical machine
learning and deep learning techniques have been employed to accelerate physics
discovery. Recent advances in quantum machine learning (QML) have indicated the
potential of... | [
{
"created": "Fri, 15 Jan 2021 16:02:52 GMT",
"version": "v1"
}
] | 2021-01-18 | [
[
"Chen",
"Samuel Yen-Chi",
""
],
[
"Wei",
"Tzu-Chieh",
""
],
[
"Zhang",
"Chao",
""
],
[
"Yu",
"Haiwang",
""
],
[
"Yoo",
"Shinjae",
""
]
] | The high energy physics (HEP) community has a long history of dealing with large-scale datasets. To manage such voluminous data, classical machine learning and deep learning techniques have been employed to accelerate physics discovery. Recent advances in quantum machine learning (QML) have indicated the potential of a... |
2311.02648 | Daksh Dave | Daksh Dave, Dhruv Khut, Sahil Nawale, Pushkar Aggrawal, Disha Rastogi
and Kailas Devadkar | Drone-Enabled Load Management for Solar Small Cell Networks in Next-Gen
Communications Optimization for Solar Small Cells | 5 pages, 3 figures, 1 table, 1 algorithm | null | 10.1109/COMNETSAT59769.2023.10420594 | null | cs.NI cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | In recent years, the cellular industry has witnessed a major evolution in
communication technologies. It is evident that the Next Generation of cellular
networks(NGN) will play a pivotal role in the acceptance of emerging IoT
applications supporting high data rates, better Quality of Service(QoS), and
reduced latency... | [
{
"created": "Sun, 5 Nov 2023 13:21:38 GMT",
"version": "v1"
}
] | 2024-02-09 | [
[
"Dave",
"Daksh",
""
],
[
"Khut",
"Dhruv",
""
],
[
"Nawale",
"Sahil",
""
],
[
"Aggrawal",
"Pushkar",
""
],
[
"Rastogi",
"Disha",
""
],
[
"Devadkar",
"Kailas",
""
]
] | In recent years, the cellular industry has witnessed a major evolution in communication technologies. It is evident that the Next Generation of cellular networks(NGN) will play a pivotal role in the acceptance of emerging IoT applications supporting high data rates, better Quality of Service(QoS), and reduced latency. ... |
1904.10644 | Yu Chen | Yu Chen and Tom Diethe and Neil Lawrence | Facilitating Bayesian Continual Learning by Natural Gradients and Stein
Gradients | null | Continual Learning Workshop of 32nd Conference on Neural
Information Processing Systems (NeurIPS 2018) | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continual learning aims to enable machine learning models to learn a general
solution space for past and future tasks in a sequential manner. Conventional
models tend to forget the knowledge of previous tasks while learning a new
task, a phenomenon known as catastrophic forgetting. When using Bayesian models
in conti... | [
{
"created": "Wed, 24 Apr 2019 05:18:32 GMT",
"version": "v1"
}
] | 2019-04-25 | [
[
"Chen",
"Yu",
""
],
[
"Diethe",
"Tom",
""
],
[
"Lawrence",
"Neil",
""
]
] | Continual learning aims to enable machine learning models to learn a general solution space for past and future tasks in a sequential manner. Conventional models tend to forget the knowledge of previous tasks while learning a new task, a phenomenon known as catastrophic forgetting. When using Bayesian models in continu... |
2105.09837 | Junxiang Wang | Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng and
Liang Zhao | Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on
Gradient-Free ADMM Framework | Accepted by the IEEE Transactions on Neural Networks and Learning
Systems (TNNLS). arXiv admin note: substantial text overlap with
arXiv:2009.02868 | null | null | null | cs.LG cs.DC math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While Graph Neural Networks (GNNs) are popular in the deep learning
community, they suffer from several challenges including over-smoothing,
over-squashing, and gradient vanishing. Recently, a series of models have
attempted to relieve these issues by first augmenting the node features and
then imposing node-wise fun... | [
{
"created": "Thu, 20 May 2021 15:37:42 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Nov 2022 02:23:25 GMT",
"version": "v2"
}
] | 2022-11-18 | [
[
"Wang",
"Junxiang",
""
],
[
"Li",
"Hongyi",
""
],
[
"Chai",
"Zheng",
""
],
[
"Wang",
"Yongchao",
""
],
[
"Cheng",
"Yue",
""
],
[
"Zhao",
"Liang",
""
]
] | While Graph Neural Networks (GNNs) are popular in the deep learning community, they suffer from several challenges including over-smoothing, over-squashing, and gradient vanishing. Recently, a series of models have attempted to relieve these issues by first augmenting the node features and then imposing node-wise funct... |
1001.4181 | Milan Derpich | Milan S. Derpich and Jan {\O}stergaard | Improved Upper Bounds to the Causal Quadratic Rate-Distortion Function
for Gaussian Stationary Sources | 47 pages, revised version submitted to IEEE Trans. Information Theory | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-sa/3.0/ | We improve the existing achievable rate regions for causal and for zero-delay
source coding of stationary Gaussian sources under an average mean squared
error (MSE) distortion measure. To begin with, we find a closed-form expression
for the information-theoretic causal rate-distortion function (RDF) under such
distor... | [
{
"created": "Sat, 23 Jan 2010 18:02:46 GMT",
"version": "v1"
},
{
"created": "Mon, 2 May 2011 00:46:11 GMT",
"version": "v2"
}
] | 2011-05-03 | [
[
"Derpich",
"Milan S.",
""
],
[
"Østergaard",
"Jan",
""
]
] | We improve the existing achievable rate regions for causal and for zero-delay source coding of stationary Gaussian sources under an average mean squared error (MSE) distortion measure. To begin with, we find a closed-form expression for the information-theoretic causal rate-distortion function (RDF) under such distorti... |
1110.1075 | Pantelis Bouboulis | Pantelis Bouboulis, Sergios Theodoridis, Michael Mavroforakis | The Augmented Complex Kernel LMS | manuscript submitted to IEE Transactions on Signal Processing | null | 10.1109/TSP.2012.2200479 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, a unified framework for adaptive kernel based signal processing of
complex data was presented by the authors, which, besides offering techniques
to map the input data to complex Reproducing Kernel Hilbert Spaces, developed a
suitable Wirtinger-like Calculus for general Hilbert Spaces. In this short
paper, t... | [
{
"created": "Wed, 5 Oct 2011 19:03:35 GMT",
"version": "v1"
}
] | 2015-05-30 | [
[
"Bouboulis",
"Pantelis",
""
],
[
"Theodoridis",
"Sergios",
""
],
[
"Mavroforakis",
"Michael",
""
]
] | Recently, a unified framework for adaptive kernel based signal processing of complex data was presented by the authors, which, besides offering techniques to map the input data to complex Reproducing Kernel Hilbert Spaces, developed a suitable Wirtinger-like Calculus for general Hilbert Spaces. In this short paper, the... |
2101.05357 | Mehrshad Zandigohar | Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, and Gunar Schirner | Towards Creating a Deployable Grasp Type Probability Estimator for a
Prosthetic Hand | null | CyPhy 2019, WESE 2019. Lecture Notes in Computer Science, vol
11971. Springer, Cham | 10.1007/978-3-030-41131-2_3 | null | cs.LG cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For lower arm amputees, prosthetic hands promise to restore most of physical
interaction capabilities. This requires to accurately predict hand gestures
capable of grabbing varying objects and execute them timely as intended by the
user. Current approaches often rely on physiological signal inputs such as
Electromyog... | [
{
"created": "Wed, 13 Jan 2021 21:39:41 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Zandigohar",
"Mehrshad",
""
],
[
"Han",
"Mo",
""
],
[
"Erdogmus",
"Deniz",
""
],
[
"Schirner",
"Gunar",
""
]
] | For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying objects and execute them timely as intended by the user. Current approaches often rely on physiological signal inputs such as Electromyogra... |
2311.15855 | Hsuan-I Ho | Hsuan-I Ho, Jie Song, Otmar Hilliges | SiTH: Single-view Textured Human Reconstruction with Image-Conditioned
Diffusion | 23 pages, 23 figures, CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A long-standing goal of 3D human reconstruction is to create lifelike and
fully detailed 3D humans from single-view images. The main challenge lies in
inferring unknown body shapes, appearances, and clothing details in areas not
visible in the images. To address this, we propose SiTH, a novel pipeline that
uniquely i... | [
{
"created": "Mon, 27 Nov 2023 14:22:07 GMT",
"version": "v1"
},
{
"created": "Sat, 30 Mar 2024 14:21:40 GMT",
"version": "v2"
}
] | 2024-04-02 | [
[
"Ho",
"Hsuan-I",
""
],
[
"Song",
"Jie",
""
],
[
"Hilliges",
"Otmar",
""
]
] | A long-standing goal of 3D human reconstruction is to create lifelike and fully detailed 3D humans from single-view images. The main challenge lies in inferring unknown body shapes, appearances, and clothing details in areas not visible in the images. To address this, we propose SiTH, a novel pipeline that uniquely int... |
1901.02935 | Nitish Kumar | Nitish Kumar, Stelian Coros | An optimization framework for simulation and kinematic control of
Constrained Collaborative Mobile Agents (CCMA) system | 8 pages, Accepted version, IROS 2019 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a concept of constrained collaborative mobile agents (CCMA)
system, which consists of multiple wheeled mobile agents constrained by a
passive kinematic chain. This mobile robotic system is modular in nature, the
passive kinematic chain can be easily replaced with different designs and
morphologies for diff... | [
{
"created": "Wed, 9 Jan 2019 21:18:46 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2019 08:35:42 GMT",
"version": "v2"
},
{
"created": "Mon, 9 Sep 2019 19:41:07 GMT",
"version": "v3"
}
] | 2019-09-11 | [
[
"Kumar",
"Nitish",
""
],
[
"Coros",
"Stelian",
""
]
] | We present a concept of constrained collaborative mobile agents (CCMA) system, which consists of multiple wheeled mobile agents constrained by a passive kinematic chain. This mobile robotic system is modular in nature, the passive kinematic chain can be easily replaced with different designs and morphologies for differ... |
2207.11025 | Guillermo Gomez-Trenado | Guillermo Gomez-Trenado (1), St\'ephane Lathuili\`ere (2), Pablo
Mesejo (1), \'Oscar Cord\'on (1) ((1) DaSCI research institute, DECSAI,
University of Granada, Granada, Spain, (2) LTCI, T\'el\'ecom-Paris, Intitute
Polytechnique de Paris, Palaiseau, France) | Custom Structure Preservation in Face Aging | 36 pages, 21 figures | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we propose a novel architecture for face age editing that can
produce structural modifications while maintaining relevant details present in
the original image. We disentangle the style and content of the input image and
propose a new decoder network that adopts a style-based strategy to combine the
sty... | [
{
"created": "Fri, 22 Jul 2022 11:58:33 GMT",
"version": "v1"
}
] | 2022-07-25 | [
[
"Gomez-Trenado",
"Guillermo",
""
],
[
"Lathuilière",
"Stéphane",
""
],
[
"Mesejo",
"Pablo",
""
],
[
"Cordón",
"Óscar",
""
]
] | In this work, we propose a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image. We disentangle the style and content of the input image and propose a new decoder network that adopts a style-based strategy to combine the style... |
2003.06594 | Yue Hu | Yue Hu, Siheng Chen, Ya Zhang, and Xiao Gu | Collaborative Motion Prediction via Neural Motion Message Passing | Accepted by CVPR 2020 Oral | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motion prediction is essential and challenging for autonomous vehicles and
social robots. One challenge of motion prediction is to model the interaction
among traffic actors, which could cooperate with each other to avoid collisions
or form groups. To address this challenge, we propose neural motion message
passing (... | [
{
"created": "Sat, 14 Mar 2020 10:12:54 GMT",
"version": "v1"
}
] | 2020-03-17 | [
[
"Hu",
"Yue",
""
],
[
"Chen",
"Siheng",
""
],
[
"Zhang",
"Ya",
""
],
[
"Gu",
"Xiao",
""
]
] | Motion prediction is essential and challenging for autonomous vehicles and social robots. One challenge of motion prediction is to model the interaction among traffic actors, which could cooperate with each other to avoid collisions or form groups. To address this challenge, we propose neural motion message passing (NM... |
1503.07405 | Arkaitz Zubiaga | Bo Wang, Arkaitz Zubiaga, Maria Liakata, Rob Procter | Making the Most of Tweet-Inherent Features for Social Spam Detection on
Twitter | null | null | null | null | cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social spam produces a great amount of noise on social media services such as
Twitter, which reduces the signal-to-noise ratio that both end users and data
mining applications observe. Existing techniques on social spam detection have
focused primarily on the identification of spam accounts by using extensive
histori... | [
{
"created": "Wed, 25 Mar 2015 14:58:59 GMT",
"version": "v1"
}
] | 2015-03-26 | [
[
"Wang",
"Bo",
""
],
[
"Zubiaga",
"Arkaitz",
""
],
[
"Liakata",
"Maria",
""
],
[
"Procter",
"Rob",
""
]
] | Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications observe. Existing techniques on social spam detection have focused primarily on the identification of spam accounts by using extensive historica... |
1905.09027 | Ji Feng | Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou | Learning to Confuse: Generating Training Time Adversarial Data with
Auto-Encoder | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we consider one challenging training time attack by modifying
training data with bounded perturbation, hoping to manipulate the behavior
(both targeted or non-targeted) of any corresponding trained classifier during
test time when facing clean samples. To achieve this, we proposed to use an
auto-encoder... | [
{
"created": "Wed, 22 May 2019 09:06:40 GMT",
"version": "v1"
}
] | 2019-05-23 | [
[
"Feng",
"Ji",
""
],
[
"Cai",
"Qi-Zhi",
""
],
[
"Zhou",
"Zhi-Hua",
""
]
] | In this work, we consider one challenging training time attack by modifying training data with bounded perturbation, hoping to manipulate the behavior (both targeted or non-targeted) of any corresponding trained classifier during test time when facing clean samples. To achieve this, we proposed to use an auto-encoder-l... |
1503.04426 | Carlo Comin | Carlo Comin, Romeo Rizzi | An Improved Pseudo-Polynomial Upper Bound for the Value Problem and
Optimal Strategy Synthesis in Mean Payoff Games | null | null | null | null | cs.DS cs.CC cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we offer an $O(|V|^2 |E|\, W)$ pseudo-polynomial time
deterministic algorithm for solving the Value Problem and Optimal Strategy
Synthesis in Mean Payoff Games. This improves by a factor $\log(|V|\, W)$ the
best previously known pseudo-polynomial time upper bound due to Brim,~\etal The
improvement hinges... | [
{
"created": "Sun, 15 Mar 2015 13:48:06 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Apr 2015 09:09:21 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Apr 2015 10:08:35 GMT",
"version": "v3"
},
{
"created": "Mon, 20 Apr 2015 20:57:29 GMT",
"version": "v4"
},
{
"c... | 2016-04-26 | [
[
"Comin",
"Carlo",
""
],
[
"Rizzi",
"Romeo",
""
]
] | In this work we offer an $O(|V|^2 |E|\, W)$ pseudo-polynomial time deterministic algorithm for solving the Value Problem and Optimal Strategy Synthesis in Mean Payoff Games. This improves by a factor $\log(|V|\, W)$ the best previously known pseudo-polynomial time upper bound due to Brim,~\etal The improvement hinges o... |
2302.14500 | Chong Fu | Chong Fu, Xuhong Zhang, Shouling Ji, Ting Wang, Peng Lin, Yanghe Feng,
Jianwei Yin | FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases | Accepted by USENIX Security 2023 | null | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Trojan attack on deep neural networks, also known as backdoor attack, is a
typical threat to artificial intelligence. A trojaned neural network behaves
normally with clean inputs. However, if the input contains a particular
trigger, the trojaned model will have attacker-chosen abnormal behavior.
Although many backdoo... | [
{
"created": "Tue, 28 Feb 2023 11:31:29 GMT",
"version": "v1"
}
] | 2023-03-01 | [
[
"Fu",
"Chong",
""
],
[
"Zhang",
"Xuhong",
""
],
[
"Ji",
"Shouling",
""
],
[
"Wang",
"Ting",
""
],
[
"Lin",
"Peng",
""
],
[
"Feng",
"Yanghe",
""
],
[
"Yin",
"Jianwei",
""
]
] | Trojan attack on deep neural networks, also known as backdoor attack, is a typical threat to artificial intelligence. A trojaned neural network behaves normally with clean inputs. However, if the input contains a particular trigger, the trojaned model will have attacker-chosen abnormal behavior. Although many backdoor ... |
2010.06283 | Hendrik Schuff | Hendrik Schuff, Heike Adel, Ngoc Thang Vu | F1 is Not Enough! Models and Evaluation Towards User-Centered
Explainable Question Answering | EMNLP 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explainable question answering systems predict an answer together with an
explanation showing why the answer has been selected. The goal is to enable
users to assess the correctness of the system and understand its reasoning
process. However, we show that current models and evaluation settings have
shortcomings regar... | [
{
"created": "Tue, 13 Oct 2020 10:53:20 GMT",
"version": "v1"
}
] | 2020-10-14 | [
[
"Schuff",
"Hendrik",
""
],
[
"Adel",
"Heike",
""
],
[
"Vu",
"Ngoc Thang",
""
]
] | Explainable question answering systems predict an answer together with an explanation showing why the answer has been selected. The goal is to enable users to assess the correctness of the system and understand its reasoning process. However, we show that current models and evaluation settings have shortcomings regardi... |
2404.04884 | Huan Zhong | Huan Zhong and Chen Wu and Ziqi Xiao | LRNet: Change detection of high-resolution remote sensing imagery via
strategy of localization-then-refinement | 18 pages, 11 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Change detection, as a research hotspot in the field of remote sensing, has
witnessed continuous development and progress. However, the discrimination of
boundary details remains a significant bottleneck due to the complexity of
surrounding elements between change areas and backgrounds. Discriminating the
boundaries ... | [
{
"created": "Sun, 7 Apr 2024 09:05:04 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Zhong",
"Huan",
""
],
[
"Wu",
"Chen",
""
],
[
"Xiao",
"Ziqi",
""
]
] | Change detection, as a research hotspot in the field of remote sensing, has witnessed continuous development and progress. However, the discrimination of boundary details remains a significant bottleneck due to the complexity of surrounding elements between change areas and backgrounds. Discriminating the boundaries of... |
2011.09393 | Nurislam Tursynbek | Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan Oseledets | Adversarial Turing Patterns from Cellular Automata | Published as a conference paper at AAAI 2021 (camera-ready version) | null | null | null | cs.NE cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art deep classifiers are intriguingly vulnerable to universal
adversarial perturbations: single disturbances of small magnitude that lead to
misclassification of most in-puts. This phenomena may potentially result in a
serious security problem. Despite the extensive research in this area,there is
a lack ... | [
{
"created": "Wed, 18 Nov 2020 16:50:54 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Feb 2021 07:51:43 GMT",
"version": "v2"
},
{
"created": "Tue, 6 Apr 2021 08:59:06 GMT",
"version": "v3"
}
] | 2021-04-07 | [
[
"Tursynbek",
"Nurislam",
""
],
[
"Vilkoviskiy",
"Ilya",
""
],
[
"Sindeeva",
"Maria",
""
],
[
"Oseledets",
"Ivan",
""
]
] | State-of-the-art deep classifiers are intriguingly vulnerable to universal adversarial perturbations: single disturbances of small magnitude that lead to misclassification of most in-puts. This phenomena may potentially result in a serious security problem. Despite the extensive research in this area,there is a lack of... |
1712.01770 | Ricardo Borsoi | Ricardo Augusto Borsoi, Tales Imbiriba, Jos\'e Carlos Moreira
Bermudez, C\'edric Richard | Tech Report: A Fast Multiscale Spatial Regularization for Sparse
Hyperspectral Unmixing | null | null | 10.1109/LGRS.2018.2878394 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sparse hyperspectral unmixing from large spectral libraries has been
considered to circumvent limitations of endmember extraction algorithms in many
applications. This strategy often leads to ill-posed inverse problems, which
can benefit from spatial regularization strategies. While existing spatial
regularization me... | [
{
"created": "Tue, 5 Dec 2017 17:24:54 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Oct 2018 03:28:50 GMT",
"version": "v2"
},
{
"created": "Thu, 25 Oct 2018 22:21:08 GMT",
"version": "v3"
}
] | 2018-10-29 | [
[
"Borsoi",
"Ricardo Augusto",
""
],
[
"Imbiriba",
"Tales",
""
],
[
"Bermudez",
"José Carlos Moreira",
""
],
[
"Richard",
"Cédric",
""
]
] | Sparse hyperspectral unmixing from large spectral libraries has been considered to circumvent limitations of endmember extraction algorithms in many applications. This strategy often leads to ill-posed inverse problems, which can benefit from spatial regularization strategies. While existing spatial regularization meth... |
2005.00181 | Yi Luan | Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins | Sparse, Dense, and Attentional Representations for Text Retrieval | To appear in TACL 2020. The arXiv version is a pre-MIT Press
publication version | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dual encoders perform retrieval by encoding documents and queries into dense
lowdimensional vectors, scoring each document by its inner product with the
query. We investigate the capacity of this architecture relative to sparse
bag-of-words models and attentional neural networks. Using both theoretical and
empirical ... | [
{
"created": "Fri, 1 May 2020 02:21:17 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Oct 2020 19:12:42 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Feb 2021 23:18:25 GMT",
"version": "v3"
}
] | 2021-02-18 | [
[
"Luan",
"Yi",
""
],
[
"Eisenstein",
"Jacob",
""
],
[
"Toutanova",
"Kristina",
""
],
[
"Collins",
"Michael",
""
]
] | Dual encoders perform retrieval by encoding documents and queries into dense lowdimensional vectors, scoring each document by its inner product with the query. We investigate the capacity of this architecture relative to sparse bag-of-words models and attentional neural networks. Using both theoretical and empirical an... |
1804.09601 | Conor O Malley | Conor O'Malley, Drosos Kourounis, Gabriela Hug and Olaf Schenk | Optimizing gas networks using adjoint gradients | null | null | null | null | cs.CE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An increasing amount of gas-fired power plants are currently being installed
in modern power grids worldwide. This is due to their low cost and the inherent
flexibility offered to the electrical network, particularly in the face of
increasing renewable generation. However, the integration and operation of gas
generat... | [
{
"created": "Wed, 25 Apr 2018 14:40:54 GMT",
"version": "v1"
}
] | 2018-04-26 | [
[
"O'Malley",
"Conor",
""
],
[
"Kourounis",
"Drosos",
""
],
[
"Hug",
"Gabriela",
""
],
[
"Schenk",
"Olaf",
""
]
] | An increasing amount of gas-fired power plants are currently being installed in modern power grids worldwide. This is due to their low cost and the inherent flexibility offered to the electrical network, particularly in the face of increasing renewable generation. However, the integration and operation of gas generator... |
2208.06341 | Ryo Suzuki | Hiroki Kaimoto, Kyzyl Monteiro, Mehrad Faridan, Jiatong Li, Samin
Farajian, Yasuaki Kakehi, Ken Nakagaki, Ryo Suzuki | Sketched Reality: Sketching Bi-Directional Interactions Between Virtual
and Physical Worlds with AR and Actuated Tangible UI | UIST 2022 | null | 10.1145/3526113.3545626 | null | cs.HC cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces Sketched Reality, an approach that combines AR
sketching and actuated tangible user interfaces (TUI) for bidirectional
sketching interaction. Bi-directional sketching enables virtual sketches and
physical objects to "affect" each other through physical actuation and digital
computation. In the e... | [
{
"created": "Fri, 12 Aug 2022 16:01:31 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Oct 2022 17:14:57 GMT",
"version": "v2"
}
] | 2022-10-05 | [
[
"Kaimoto",
"Hiroki",
""
],
[
"Monteiro",
"Kyzyl",
""
],
[
"Faridan",
"Mehrad",
""
],
[
"Li",
"Jiatong",
""
],
[
"Farajian",
"Samin",
""
],
[
"Kakehi",
"Yasuaki",
""
],
[
"Nakagaki",
"Ken",
""
],
[
"... | This paper introduces Sketched Reality, an approach that combines AR sketching and actuated tangible user interfaces (TUI) for bidirectional sketching interaction. Bi-directional sketching enables virtual sketches and physical objects to "affect" each other through physical actuation and digital computation. In the exi... |
1811.00078 | Nikolaos Dionelis | Nikolaos Dionelis | On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain
Kalman Filtering | 13 pages | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This report focuses on algorithms that perform single-channel speech
enhancement. The author of this report uses modulation-domain Kalman filtering
algorithms for speech enhancement, i.e. noise suppression and dereverberation,
in [1], [2], [3], [4] and [5]. Modulation-domain Kalman filtering can be
applied for both n... | [
{
"created": "Wed, 31 Oct 2018 19:30:39 GMT",
"version": "v1"
}
] | 2018-11-02 | [
[
"Dionelis",
"Nikolaos",
""
]
] | This report focuses on algorithms that perform single-channel speech enhancement. The author of this report uses modulation-domain Kalman filtering algorithms for speech enhancement, i.e. noise suppression and dereverberation, in [1], [2], [3], [4] and [5]. Modulation-domain Kalman filtering can be applied for both noi... |
2210.12375 | Marten Lienen | Marten Lienen and Stephan G\"unnemann | torchode: A Parallel ODE Solver for PyTorch | Accepted at The Symbiosis of Deep Learning and Differential Equations
Workshop, NeurIPS, 2022 | null | null | null | cs.LG cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce an ODE solver for the PyTorch ecosystem that can solve multiple
ODEs in parallel independently from each other while achieving significant
performance gains. Our implementation tracks each ODE's progress separately and
is carefully optimized for GPUs and compatibility with PyTorch's JIT compiler.
Its des... | [
{
"created": "Sat, 22 Oct 2022 07:08:17 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Jan 2023 09:02:47 GMT",
"version": "v2"
}
] | 2023-01-18 | [
[
"Lienen",
"Marten",
""
],
[
"Günnemann",
"Stephan",
""
]
] | We introduce an ODE solver for the PyTorch ecosystem that can solve multiple ODEs in parallel independently from each other while achieving significant performance gains. Our implementation tracks each ODE's progress separately and is carefully optimized for GPUs and compatibility with PyTorch's JIT compiler. Its desig... |
1702.02690 | Hai Lin | Hai Lin, Feifei Gao, Shi Jin, Geoffrey Ye Li | A New View of Multi-User Hybrid Massive MIMO: Non-Orthogonal Angle
Division Multiple Access | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new view of multi-user (MU) hybrid massive
multiple-input and multiple-output (MIMO) systems from array signal processing
perspective. We first show that the instantaneous channel vectors corresponding
to different users are asymptotically orthogonal if the angles of arrival
(AOAs) of users are ... | [
{
"created": "Thu, 9 Feb 2017 03:34:14 GMT",
"version": "v1"
},
{
"created": "Sat, 15 Jul 2017 15:02:08 GMT",
"version": "v2"
}
] | 2022-10-18 | [
[
"Lin",
"Hai",
""
],
[
"Gao",
"Feifei",
""
],
[
"Jin",
"Shi",
""
],
[
"Li",
"Geoffrey Ye",
""
]
] | This paper presents a new view of multi-user (MU) hybrid massive multiple-input and multiple-output (MIMO) systems from array signal processing perspective. We first show that the instantaneous channel vectors corresponding to different users are asymptotically orthogonal if the angles of arrival (AOAs) of users are di... |
2004.12691 | Edward Frady | E. Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu,
Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies | Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs | 9 pages, 8 figures, 3 tables, submission to NICE 2020 | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neuromorphic computing applies insights from neuroscience to uncover
innovations in computing technology. In the brain, billions of interconnected
neurons perform rapid computations at extremely low energy levels by leveraging
properties that are foreign to conventional computing systems, such as temporal
spiking cod... | [
{
"created": "Mon, 27 Apr 2020 10:23:47 GMT",
"version": "v1"
}
] | 2020-04-28 | [
[
"Frady",
"E. Paxon",
""
],
[
"Orchard",
"Garrick",
""
],
[
"Florey",
"David",
""
],
[
"Imam",
"Nabil",
""
],
[
"Liu",
"Ruokun",
""
],
[
"Mishra",
"Joyesh",
""
],
[
"Tse",
"Jonathan",
""
],
[
"Wild",... | Neuromorphic computing applies insights from neuroscience to uncover innovations in computing technology. In the brain, billions of interconnected neurons perform rapid computations at extremely low energy levels by leveraging properties that are foreign to conventional computing systems, such as temporal spiking codes... |
1405.6137 | Arun P V | S.K. Katiyar and P.V. Arun | An enhanced neural network based approach towards object extraction | null | null | null | null | cs.CV cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The improvements in spectral and spatial resolution of the satellite images
have facilitated the automatic extraction and identification of the features
from satellite images and aerial photographs. An automatic object extraction
method is presented for extracting and identifying the various objects from
satellite im... | [
{
"created": "Wed, 5 Feb 2014 20:05:34 GMT",
"version": "v1"
}
] | 2014-05-26 | [
[
"Katiyar",
"S. K.",
""
],
[
"Arun",
"P. V.",
""
]
] | The improvements in spectral and spatial resolution of the satellite images have facilitated the automatic extraction and identification of the features from satellite images and aerial photographs. An automatic object extraction method is presented for extracting and identifying the various objects from satellite imag... |
2111.15318 | Michael Strecke | Michael Strecke and Joerg Stueckler | DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes | 22 pages, 23 Figures (including supplementary material). Presented
3DV 2021. Project website: https://diffsdfsim.is.tue.mpg.de/ | 2021 International Conference on 3D Vision (3DV) | 10.1109/3DV53792.2021.00020 | null | cs.CV cs.GR cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differentiable physics is a powerful tool in computer vision and robotics for
scene understanding and reasoning about interactions. Existing approaches have
frequently been limited to objects with simple shape or shapes that are known
in advance. In this paper, we propose a novel approach to differentiable
physics wi... | [
{
"created": "Tue, 30 Nov 2021 11:56:24 GMT",
"version": "v1"
},
{
"created": "Mon, 10 Jan 2022 15:25:13 GMT",
"version": "v2"
}
] | 2022-01-11 | [
[
"Strecke",
"Michael",
""
],
[
"Stueckler",
"Joerg",
""
]
] | Differentiable physics is a powerful tool in computer vision and robotics for scene understanding and reasoning about interactions. Existing approaches have frequently been limited to objects with simple shape or shapes that are known in advance. In this paper, we propose a novel approach to differentiable physics with... |
1905.02356 | Leonardo Mu\~noz | Leonardo Munoz and Oscar Avila | A model to assess customer alignment through customer experience
concepts | 12 pages, Preprint version, BIS 2019 International Workshops,
Seville, Spain, June 26 to 28, 2019, Revised Papers | Business Information Systems Workshops. BIS 2019. Lecture Notes in
Business Information Processing, vol 373. Springer, Cham | 10.1007/978-3-030-36691-9_29 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Business and Information Technology Alignment (BITA) has been one of the main
concerns of IT and Business executives and directors due to its importance to
overall company performance, especially today in the age of digital
transformation. For BITA has been developed several models which in general has
focused in the... | [
{
"created": "Tue, 7 May 2019 05:08:45 GMT",
"version": "v1"
},
{
"created": "Thu, 9 May 2019 21:08:47 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Dec 2019 17:01:03 GMT",
"version": "v3"
}
] | 2019-12-19 | [
[
"Munoz",
"Leonardo",
""
],
[
"Avila",
"Oscar",
""
]
] | Business and Information Technology Alignment (BITA) has been one of the main concerns of IT and Business executives and directors due to its importance to overall company performance, especially today in the age of digital transformation. For BITA has been developed several models which in general has focused in the i... |
1310.6686 | Carlos Alberto Fernandez-y-Fernandez | Reyes Ju\'arez-Ram\'irez, Karen Cort\'es Verd\'in, Beatriz Ang\'elica
Toscano de la Torre, Hanna Oktaba, Carlos Alberto Fern\'andez-y-Fern\'andez,
Brenda Leticia Flores R\'ios, Fabiola Angulo Molina | Estado Actual de la Pr\'actica de la Ingenier\'ia de Software en
M\'exico | null | Congreso Internacional de Investigaci\'on e Innovaci\'on en
Ingenier\'ia de Software (Conisoft 2013), pp. 3-14, Xalapa, Veracruz,
M\'exico, 2013. ISBN: 978-0-615-89523-9 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The software engineering is a relatively new discipline compared to other
sciences, since the origins of the term itself dates back to the years 1968 and
1969. At present, the market and the software industry have a significant
relevance in several countries of the world; however, although Mexico is
immersed in this ... | [
{
"created": "Thu, 24 Oct 2013 17:58:50 GMT",
"version": "v1"
}
] | 2013-10-25 | [
[
"Juárez-Ramírez",
"Reyes",
""
],
[
"Verdín",
"Karen Cortés",
""
],
[
"de la Torre",
"Beatriz Angélica Toscano",
""
],
[
"Oktaba",
"Hanna",
""
],
[
"Fernández-y-Fernández",
"Carlos Alberto",
""
],
[
"Ríos",
"Brenda Leticia Flor... | The software engineering is a relatively new discipline compared to other sciences, since the origins of the term itself dates back to the years 1968 and 1969. At present, the market and the software industry have a significant relevance in several countries of the world; however, although Mexico is immersed in this ra... |
2402.17151 | Zhengxiang Wang | Zhengxiang Wang, Owen Rambow | Clustering Document Parts: Detecting and Characterizing Influence
Campaigns from Documents | 12 pages, 2 figures, 5 tables | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | We propose a novel clustering pipeline to detect and characterize influence
campaigns from documents. This approach clusters parts of document, detects
clusters that likely reflect an influence campaign, and then identifies
documents linked to an influence campaign via their association with the
high-influence cluste... | [
{
"created": "Tue, 27 Feb 2024 02:36:43 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Apr 2024 20:01:28 GMT",
"version": "v2"
}
] | 2024-04-30 | [
[
"Wang",
"Zhengxiang",
""
],
[
"Rambow",
"Owen",
""
]
] | We propose a novel clustering pipeline to detect and characterize influence campaigns from documents. This approach clusters parts of document, detects clusters that likely reflect an influence campaign, and then identifies documents linked to an influence campaign via their association with the high-influence clusters... |
1308.4458 | Reza Pournaghi | Reza Pournaghi and Xiaolin Wu | Coded Acquisition of High Frame Rate Video | null | null | 10.1109/TIP.2014.2368359 | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High frame video (HFV) is an important investigational tool in sciences,
engineering and military. In ultra-high speed imaging, the obtainable temporal,
spatial and spectral resolutions are limited by the sustainable throughput of
in-camera mass memory, the lower bound of exposure time, and illumination
conditions. I... | [
{
"created": "Wed, 21 Aug 2013 01:13:46 GMT",
"version": "v1"
}
] | 2015-06-16 | [
[
"Pournaghi",
"Reza",
""
],
[
"Wu",
"Xiaolin",
""
]
] | High frame video (HFV) is an important investigational tool in sciences, engineering and military. In ultra-high speed imaging, the obtainable temporal, spatial and spectral resolutions are limited by the sustainable throughput of in-camera mass memory, the lower bound of exposure time, and illumination conditions. In ... |
2310.03890 | Zhu Wang | Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi | Accelerated Neural Network Training with Rooted Logistic Objectives | null | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Many neural networks deployed in the real world scenarios are trained using
cross entropy based loss functions. From the optimization perspective, it is
known that the behavior of first order methods such as gradient descent
crucially depend on the separability of datasets. In fact, even in the most
simplest case of ... | [
{
"created": "Thu, 5 Oct 2023 20:49:48 GMT",
"version": "v1"
}
] | 2023-10-09 | [
[
"Wang",
"Zhu",
""
],
[
"Veluswami",
"Praveen Raj",
""
],
[
"Mishra",
"Harsh",
""
],
[
"Ravi",
"Sathya N.",
""
]
] | Many neural networks deployed in the real world scenarios are trained using cross entropy based loss functions. From the optimization perspective, it is known that the behavior of first order methods such as gradient descent crucially depend on the separability of datasets. In fact, even in the most simplest case of bi... |
1704.05960 | Milad Zafar Nezhad | Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li, Kai Yang, Phillip Levy | SAFS: A Deep Feature Selection Approach for Precision Medicine | null | null | 10.1109/BIBM.2016.7822569 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a new deep feature selection method based on deep
architecture. Our method uses stacked auto-encoders for feature representation
in higher-level abstraction. We developed and applied a novel feature learning
approach to a specific precision medicine problem, which focuses on assessing
and pr... | [
{
"created": "Thu, 20 Apr 2017 00:01:28 GMT",
"version": "v1"
}
] | 2017-04-21 | [
[
"Nezhad",
"Milad Zafar",
""
],
[
"Zhu",
"Dongxiao",
""
],
[
"Li",
"Xiangrui",
""
],
[
"Yang",
"Kai",
""
],
[
"Levy",
"Phillip",
""
]
] | In this paper, we propose a new deep feature selection method based on deep architecture. Our method uses stacked auto-encoders for feature representation in higher-level abstraction. We developed and applied a novel feature learning approach to a specific precision medicine problem, which focuses on assessing and prio... |
2103.12487 | Saeed Masoudian | Saeed Masoudian, Yevgeny Seldin | Improved Analysis of the Tsallis-INF Algorithm in Stochastically
Constrained Adversarial Bandits and Stochastic Bandits with Adversarial
Corruptions | Published Version in COLT 2021 | Conference on Learning Theory 134 (2021) 3330-3350 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We derive improved regret bounds for the Tsallis-INF algorithm of Zimmert and
Seldin (2021). We show that in adversarial regimes with a $(\Delta,C,T)$
self-bounding constraint the algorithm achieves
$\mathcal{O}\left(\left(\sum_{i\neq i^*}
\frac{1}{\Delta_i}\right)\log_+\left(\frac{(K-1)T}{\left(\sum_{i\neq i^*}
\fra... | [
{
"created": "Tue, 23 Mar 2021 12:26:39 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Sep 2021 13:07:41 GMT",
"version": "v2"
}
] | 2021-09-14 | [
[
"Masoudian",
"Saeed",
""
],
[
"Seldin",
"Yevgeny",
""
]
] | We derive improved regret bounds for the Tsallis-INF algorithm of Zimmert and Seldin (2021). We show that in adversarial regimes with a $(\Delta,C,T)$ self-bounding constraint the algorithm achieves $\mathcal{O}\left(\left(\sum_{i\neq i^*} \frac{1}{\Delta_i}\right)\log_+\left(\frac{(K-1)T}{\left(\sum_{i\neq i^*} \frac{... |
1608.06197 | Srinivas S S Kruthiventi | Lokesh Boominathan, Srinivas S S Kruthiventi and R. Venkatesh Babu | CrowdNet: A Deep Convolutional Network for Dense Crowd Counting | Accepted at ACM Multimedia (MM) 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Our work proposes a novel deep learning framework for estimating crowd
density from static images of highly dense crowds. We use a combination of deep
and shallow, fully convolutional networks to predict the density map for a
given crowd image. Such a combination is used for effectively capturing both
the high-level ... | [
{
"created": "Mon, 22 Aug 2016 15:43:29 GMT",
"version": "v1"
}
] | 2016-08-23 | [
[
"Boominathan",
"Lokesh",
""
],
[
"Kruthiventi",
"Srinivas S S",
""
],
[
"Babu",
"R. Venkatesh",
""
]
] | Our work proposes a novel deep learning framework for estimating crowd density from static images of highly dense crowds. We use a combination of deep and shallow, fully convolutional networks to predict the density map for a given crowd image. Such a combination is used for effectively capturing both the high-level se... |
2305.15817 | Yun Yue | Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang | Sharpness-Aware Minimization Revisited: Weighted Sharpness as a
Regularization Term | 10 pages. Accepted as a conference paper at KDD '23 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep Neural Networks (DNNs) generalization is known to be closely related to
the flatness of minima, leading to the development of Sharpness-Aware
Minimization (SAM) for seeking flatter minima and better generalization. In
this paper, we revisit the loss of SAM and propose a more general method,
called WSAM, by incor... | [
{
"created": "Thu, 25 May 2023 08:00:34 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Jun 2023 07:58:13 GMT",
"version": "v2"
}
] | 2023-06-12 | [
[
"Yue",
"Yun",
""
],
[
"Jiang",
"Jiadi",
""
],
[
"Ye",
"Zhiling",
""
],
[
"Gao",
"Ning",
""
],
[
"Liu",
"Yongchao",
""
],
[
"Zhang",
"Ke",
""
]
] | Deep Neural Networks (DNNs) generalization is known to be closely related to the flatness of minima, leading to the development of Sharpness-Aware Minimization (SAM) for seeking flatter minima and better generalization. In this paper, we revisit the loss of SAM and propose a more general method, called WSAM, by incorpo... |
1712.06442 | Marc Hellmuth | Marc Hellmuth, Nicolas Wieseke, Marcus Lechner, Hans-Peter Lenhof,
Martin Middendorf and Peter F. Stadler | Phylogenomics with Paralogs | null | PNAS 2015 112 (7) 2058-2063 | 10.1073/pnas.1412770112 | null | cs.DM q-bio.PE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Phylogenomics heavily relies on well-curated sequence data sets that consist,
for each gene, exclusively of 1:1-orthologous. Paralogs are treated as a
dangerous nuisance that has to be detected and removed. We show here that this
severe restriction of the data sets is not necessary. Building upon recent
advances in m... | [
{
"created": "Mon, 18 Dec 2017 14:58:20 GMT",
"version": "v1"
}
] | 2017-12-19 | [
[
"Hellmuth",
"Marc",
""
],
[
"Wieseke",
"Nicolas",
""
],
[
"Lechner",
"Marcus",
""
],
[
"Lenhof",
"Hans-Peter",
""
],
[
"Middendorf",
"Martin",
""
],
[
"Stadler",
"Peter F.",
""
]
] | Phylogenomics heavily relies on well-curated sequence data sets that consist, for each gene, exclusively of 1:1-orthologous. Paralogs are treated as a dangerous nuisance that has to be detected and removed. We show here that this severe restriction of the data sets is not necessary. Building upon recent advances in mat... |
1908.09345 | Bingcong Li | Bingcong Li, Lingda Wang, Georgios B. Giannakis | Almost Tune-Free Variance Reduction | null | ICML 2020 | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The variance reduction class of algorithms including the representative ones,
SVRG and SARAH, have well documented merits for empirical risk minimization
problems. However, they require grid search to tune parameters (step size and
the number of iterations per inner loop) for optimal performance. This work
introduces... | [
{
"created": "Sun, 25 Aug 2019 15:24:04 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Jun 2020 12:14:42 GMT",
"version": "v2"
}
] | 2020-06-11 | [
[
"Li",
"Bingcong",
""
],
[
"Wang",
"Lingda",
""
],
[
"Giannakis",
"Georgios B.",
""
]
] | The variance reduction class of algorithms including the representative ones, SVRG and SARAH, have well documented merits for empirical risk minimization problems. However, they require grid search to tune parameters (step size and the number of iterations per inner loop) for optimal performance. This work introduces `... |
2208.09318 | Marco Faroni | Marco Faroni and Nicola Pedrocchi and Manuel Beschi | Adaptive Hybrid Local-Global Sampling for Fast Informed Sampling-Based
Optimal Path Planning | Preprint of manuscript accepted for publication on Autonomous Robots,
Springer Nature | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper improves the performance of RRT$^*$-like sampling-based path
planners by combining admissible informed sampling and local sampling (i.e.,
sampling the neighborhood of the current solution). An adaptive strategy
regulates the trade-off between exploration (admissible informed sampling) and
exploitation (loc... | [
{
"created": "Fri, 19 Aug 2022 13:03:52 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Apr 2024 09:03:06 GMT",
"version": "v2"
}
] | 2024-04-16 | [
[
"Faroni",
"Marco",
""
],
[
"Pedrocchi",
"Nicola",
""
],
[
"Beschi",
"Manuel",
""
]
] | This paper improves the performance of RRT$^*$-like sampling-based path planners by combining admissible informed sampling and local sampling (i.e., sampling the neighborhood of the current solution). An adaptive strategy regulates the trade-off between exploration (admissible informed sampling) and exploitation (local... |
2009.03665 | Lyes Khacef | Lyes Khacef, Vincent Gripon, Benoit Miramond | GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised
Learning | Accepted for publication in the International Conference on Neural
Information Processing (ICONIP) 2020. arXiv admin note: text overlap with
arXiv:2009.02174 | null | null | null | cs.NE cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Few-shot classification is a challenge in machine learning where the goal is
to train a classifier using a very limited number of labeled examples. This
scenario is likely to occur frequently in real life, for example when data
acquisition or labeling is expensive. In this work, we consider the problem of
post-labele... | [
{
"created": "Fri, 4 Sep 2020 13:22:28 GMT",
"version": "v1"
}
] | 2020-09-09 | [
[
"Khacef",
"Lyes",
""
],
[
"Gripon",
"Vincent",
""
],
[
"Miramond",
"Benoit",
""
]
] | Few-shot classification is a challenge in machine learning where the goal is to train a classifier using a very limited number of labeled examples. This scenario is likely to occur frequently in real life, for example when data acquisition or labeling is expensive. In this work, we consider the problem of post-labeled ... |
2404.12474 | Michael Shaham | Michael H. Shaham and Taskin Padir | Learning a Stable, Safe, Distributed Feedback Controller for a
Heterogeneous Platoon of Vehicles | null | null | null | null | cs.LG cs.AI cs.MA cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Platooning of autonomous vehicles has the potential to increase safety and
fuel efficiency on highways. The goal of platooning is to have each vehicle
drive at some speed (set by the leader) while maintaining a safe distance from
its neighbors. Many prior works have analyzed various controllers for
platooning, most c... | [
{
"created": "Thu, 18 Apr 2024 19:11:34 GMT",
"version": "v1"
}
] | 2024-04-22 | [
[
"Shaham",
"Michael H.",
""
],
[
"Padir",
"Taskin",
""
]
] | Platooning of autonomous vehicles has the potential to increase safety and fuel efficiency on highways. The goal of platooning is to have each vehicle drive at some speed (set by the leader) while maintaining a safe distance from its neighbors. Many prior works have analyzed various controllers for platooning, most com... |
2106.01885 | Ayushi Rastogi | Ayushi Rastogi, Georgios Gousios | How does Software Change? | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Software evolves with changes to its codebase over time. Internally, software
changes in response to decisions to include some code change into the codebase
and discard others. Explaining the mechanism of software evolution, this paper
presents a theory of software change. Our theory is grounded in multiple
evidence ... | [
{
"created": "Thu, 3 Jun 2021 14:31:37 GMT",
"version": "v1"
}
] | 2021-06-04 | [
[
"Rastogi",
"Ayushi",
""
],
[
"Gousios",
"Georgios",
""
]
] | Software evolves with changes to its codebase over time. Internally, software changes in response to decisions to include some code change into the codebase and discard others. Explaining the mechanism of software evolution, this paper presents a theory of software change. Our theory is grounded in multiple evidence so... |
2207.04106 | Joseph Fisher | Tom Ayoola, Joseph Fisher, Andrea Pierleoni | Improving Entity Disambiguation by Reasoning over a Knowledge Base | Accepted at NAACL 2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work in entity disambiguation (ED) has typically neglected structured
knowledge base (KB) facts, and instead relied on a limited subset of KB
information, such as entity descriptions or types. This limits the range of
contexts in which entities can be disambiguated. To allow the use of all KB
facts, as well as... | [
{
"created": "Fri, 8 Jul 2022 19:13:53 GMT",
"version": "v1"
}
] | 2022-07-12 | [
[
"Ayoola",
"Tom",
""
],
[
"Fisher",
"Joseph",
""
],
[
"Pierleoni",
"Andrea",
""
]
] | Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity descriptions or types. This limits the range of contexts in which entities can be disambiguated. To allow the use of all KB facts, as well as d... |
1905.10214 | Th\'eo Ryffel | Theo Ryffel, Edouard Dufour-Sans, Romain Gay, Francis Bach, David
Pointcheval | Partially Encrypted Machine Learning using Functional Encryption | null | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine learning on encrypted data has received a lot of attention thanks to
recent breakthroughs in homomorphic encryption and secure multi-party
computation. It allows outsourcing computation to untrusted servers without
sacrificing privacy of sensitive data. We propose a practical framework to
perform partially en... | [
{
"created": "Fri, 24 May 2019 13:06:53 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2019 08:41:02 GMT",
"version": "v2"
},
{
"created": "Wed, 29 May 2019 17:14:29 GMT",
"version": "v3"
},
{
"created": "Tue, 22 Oct 2019 10:02:43 GMT",
"version": "v4"
},
{
"c... | 2021-09-24 | [
[
"Ryffel",
"Theo",
""
],
[
"Dufour-Sans",
"Edouard",
""
],
[
"Gay",
"Romain",
""
],
[
"Bach",
"Francis",
""
],
[
"Pointcheval",
"David",
""
]
] | Machine learning on encrypted data has received a lot of attention thanks to recent breakthroughs in homomorphic encryption and secure multi-party computation. It allows outsourcing computation to untrusted servers without sacrificing privacy of sensitive data. We propose a practical framework to perform partially encr... |
2203.10289 | Christian Haase | Christian Haase, Timo R\"oseler, Mattias Seidel | METL: a modern ETL pipeline with a dynamic mapping matrix | version 6: clean up | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern ETL streaming pipelines extract data from various sources and forward
it to multiple consumers, such as data warehouses (DW) and analytical systems
that leverage machine learning (ML). However, the increasing number of systems
that are connected to such pipelines requires new solutions for data
integration. Th... | [
{
"created": "Sat, 19 Mar 2022 10:18:51 GMT",
"version": "v1"
},
{
"created": "Tue, 22 Mar 2022 17:28:58 GMT",
"version": "v2"
},
{
"created": "Wed, 23 Mar 2022 11:24:43 GMT",
"version": "v3"
},
{
"created": "Tue, 29 Mar 2022 13:54:22 GMT",
"version": "v4"
},
{
"c... | 2022-04-01 | [
[
"Haase",
"Christian",
""
],
[
"Röseler",
"Timo",
""
],
[
"Seidel",
"Mattias",
""
]
] | Modern ETL streaming pipelines extract data from various sources and forward it to multiple consumers, such as data warehouses (DW) and analytical systems that leverage machine learning (ML). However, the increasing number of systems that are connected to such pipelines requires new solutions for data integration. The ... |
2405.05787 | Tianpeng Zhang | Tianpeng Zhang (1), Sekeun Kim (2), Jerome Charton (2), Haitong Ma
(1), Kyungsang Kim (2), Na Li (1), Quanzheng Li (2)((1) SEAS, Harvard
University (2) CAMCA, Massachusetts General Hospital and Harvard Medical
School) | Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis:
Pilot Phantom Study | null | null | null | null | cs.RO cs.CV cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper introduces a novel autonomous robot ultrasound (US) system
targeting liver follow-up scans for outpatients in local communities. Given a
computed tomography (CT) image with specific target regions of interest, the
proposed system carries out the autonomous follow-up scan in three steps: (i)
initial robot co... | [
{
"created": "Thu, 9 May 2024 14:11:20 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Zhang",
"Tianpeng",
""
],
[
"Kim",
"Sekeun",
""
],
[
"Charton",
"Jerome",
""
],
[
"Ma",
"Haitong",
""
],
[
"Kim",
"Kyungsang",
""
],
[
"Li",
"Na",
""
],
[
"Li",
"Quanzheng",
""
]
] | The paper introduces a novel autonomous robot ultrasound (US) system targeting liver follow-up scans for outpatients in local communities. Given a computed tomography (CT) image with specific target regions of interest, the proposed system carries out the autonomous follow-up scan in three steps: (i) initial robot cont... |
cs/0210009 | Maxim Makatchev | Maxim Makatchev | On the Cell-based Complexity of Recognition of Bounded Configurations by
Finite Dynamic Cellular Automata | 11 pages, 1 figure | null | null | null | cs.CC cs.CV | null | This paper studies complexity of recognition of classes of bounded
configurations by a generalization of conventional cellular automata (CA) --
finite dynamic cellular automata (FDCA). Inspired by the CA-based models of
biological and computer vision, this study attempts to derive the properties of
a complexity measu... | [
{
"created": "Fri, 11 Oct 2002 19:55:16 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Makatchev",
"Maxim",
""
]
] | This paper studies complexity of recognition of classes of bounded configurations by a generalization of conventional cellular automata (CA) -- finite dynamic cellular automata (FDCA). Inspired by the CA-based models of biological and computer vision, this study attempts to derive the properties of a complexity measure... |
1806.11509 | Chengbo Yang | Chengbo Yang | An Efficient Dispatcher for Large Scale GraphProcessing on OpenCL-based
FPGAs | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | High parallel framework has been proved to be very suitable for graph
processing. There are various work to optimize the implementation in FPGAs, a
pipeline parallel device. The key to make use of the parallel performance of
FPGAs is to process graph data in pipeline model and take advantage of on-chip
memory to real... | [
{
"created": "Sun, 3 Jun 2018 11:14:38 GMT",
"version": "v1"
}
] | 2018-07-02 | [
[
"Yang",
"Chengbo",
""
]
] | High parallel framework has been proved to be very suitable for graph processing. There are various work to optimize the implementation in FPGAs, a pipeline parallel device. The key to make use of the parallel performance of FPGAs is to process graph data in pipeline model and take advantage of on-chip memory to realiz... |
1510.07357 | Bogdan Chlebus | Bogdan S. Chlebus and Dariusz R. Kowalski and Shailesh Vaya | Distributed Bare-Bones Communication in Wireless Networks | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider wireless networks operating under the SINR model of interference.
Nodes have limited individual knowledge and capabilities: they do not know
their positions in a coordinate system in the plane, further they do not know
their neighborhoods, nor do they know the size of the network $n$, and finally
they can... | [
{
"created": "Mon, 26 Oct 2015 02:56:40 GMT",
"version": "v1"
},
{
"created": "Sat, 28 Jul 2018 17:34:10 GMT",
"version": "v2"
},
{
"created": "Sun, 13 Jun 2021 17:57:49 GMT",
"version": "v3"
}
] | 2021-06-15 | [
[
"Chlebus",
"Bogdan S.",
""
],
[
"Kowalski",
"Dariusz R.",
""
],
[
"Vaya",
"Shailesh",
""
]
] | We consider wireless networks operating under the SINR model of interference. Nodes have limited individual knowledge and capabilities: they do not know their positions in a coordinate system in the plane, further they do not know their neighborhoods, nor do they know the size of the network $n$, and finally they canno... |
2206.06022 | Juan G\'omez-Luna | Juan G\'omez-Luna, Yuxin Guo, Sylvan Brocard, Julien Legriel, Remy
Cimadomo, Geraldo F. Oliveira, Gagandeep Singh, Onur Mutlu | Machine Learning Training on a Real Processing-in-Memory System | This extended abstract appears as an invited paper at the 2022 IEEE
Computer Society Annual Symposium on VLSI (ISVLSI) | null | null | null | cs.AR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Training machine learning algorithms is a computationally intensive process,
which is frequently memory-bound due to repeatedly accessing large training
datasets. As a result, processor-centric systems (e.g., CPU, GPU) suffer from
costly data movement between memory units and processing units, which consumes
large am... | [
{
"created": "Mon, 13 Jun 2022 10:20:23 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Aug 2022 15:21:34 GMT",
"version": "v2"
}
] | 2022-08-04 | [
[
"Gómez-Luna",
"Juan",
""
],
[
"Guo",
"Yuxin",
""
],
[
"Brocard",
"Sylvan",
""
],
[
"Legriel",
"Julien",
""
],
[
"Cimadomo",
"Remy",
""
],
[
"Oliveira",
"Geraldo F.",
""
],
[
"Singh",
"Gagandeep",
""
],
... | Training machine learning algorithms is a computationally intensive process, which is frequently memory-bound due to repeatedly accessing large training datasets. As a result, processor-centric systems (e.g., CPU, GPU) suffer from costly data movement between memory units and processing units, which consumes large amou... |
1601.00019 | Hyoungju Ji | Hyoungju Ji, Younsun Kim, Juho Lee, Eko Onggosanusi, Younghan Nam,
Jianzhong Zhang, Byungju Lee, Byonghyo Shim | Overview of Full-Dimension MIMO in LTE-Advanced Pro | null | IEEE Communications Magazine ( Volume: 55, Issue: 2, February 2017
) | 10.1109/MCOM.2016.1500743RP | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple-input multiple-output (MIMO) systems with a large number of
basestation antennas, often called massive MIMO, have received much attention
in academia and industry as a means to improve the spectral efficiency, energy
efficiency, and processing complexity of next generation cellular system.
Mobile communicati... | [
{
"created": "Thu, 31 Dec 2015 22:07:41 GMT",
"version": "v1"
},
{
"created": "Fri, 6 May 2016 07:36:20 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Aug 2016 04:51:04 GMT",
"version": "v3"
},
{
"created": "Wed, 10 Aug 2016 04:27:08 GMT",
"version": "v4"
}
] | 2017-04-20 | [
[
"Ji",
"Hyoungju",
""
],
[
"Kim",
"Younsun",
""
],
[
"Lee",
"Juho",
""
],
[
"Onggosanusi",
"Eko",
""
],
[
"Nam",
"Younghan",
""
],
[
"Zhang",
"Jianzhong",
""
],
[
"Lee",
"Byungju",
""
],
[
"Shim",
... | Multiple-input multiple-output (MIMO) systems with a large number of basestation antennas, often called massive MIMO, have received much attention in academia and industry as a means to improve the spectral efficiency, energy efficiency, and processing complexity of next generation cellular system. Mobile communication... |
2406.18629 | Xin Lai | Xin Lai, Zhuotao Tian, Yukang Chen, Senqiao Yang, Xiangru Peng, Jiaya
Jia | Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of
LLMs | Code, data, and models are available at
https://github.com/dvlab-research/Step-DPO | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Mathematical reasoning presents a significant challenge for Large Language
Models (LLMs) due to the extensive and precise chain of reasoning required for
accuracy. Ensuring the correctness of each reasoning step is critical. To
address this, we aim to enhance the robustness and factuality of LLMs by
learning from hum... | [
{
"created": "Wed, 26 Jun 2024 17:43:06 GMT",
"version": "v1"
}
] | 2024-06-28 | [
[
"Lai",
"Xin",
""
],
[
"Tian",
"Zhuotao",
""
],
[
"Chen",
"Yukang",
""
],
[
"Yang",
"Senqiao",
""
],
[
"Peng",
"Xiangru",
""
],
[
"Jia",
"Jiaya",
""
]
] | Mathematical reasoning presents a significant challenge for Large Language Models (LLMs) due to the extensive and precise chain of reasoning required for accuracy. Ensuring the correctness of each reasoning step is critical. To address this, we aim to enhance the robustness and factuality of LLMs by learning from human... |
2201.03339 | Jinqi Huang | Jinqi Huang, Spyros Stathopoulos, Alex Serb, and Themis Prodromakis | NeuroPack: An Algorithm-level Python-based Simulator for
Memristor-empowered Neuro-inspired Computing | null | null | 10.3389/fnano.2022.851856 | null | cs.ET cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Emerging two terminal nanoscale memory devices, known as memristors, have
over the past decade demonstrated great potential for implementing energy
efficient neuro-inspired computing architectures. As a result, a wide-range of
technologies have been developed that in turn are described via distinct
empirical models. ... | [
{
"created": "Mon, 10 Jan 2022 13:35:25 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Feb 2022 16:05:47 GMT",
"version": "v2"
}
] | 2022-07-29 | [
[
"Huang",
"Jinqi",
""
],
[
"Stathopoulos",
"Spyros",
""
],
[
"Serb",
"Alex",
""
],
[
"Prodromakis",
"Themis",
""
]
] | Emerging two terminal nanoscale memory devices, known as memristors, have over the past decade demonstrated great potential for implementing energy efficient neuro-inspired computing architectures. As a result, a wide-range of technologies have been developed that in turn are described via distinct empirical models. Th... |
1203.5188 | Martin Monperrus | Stefan Hen{\ss}, Martin Monperrus (INRIA Lille - Nord Europe), Mira
Mezini | Semi-Automatically Extracting FAQs to Improve Accessibility of Software
Development Knowledge | ICSE - 34th International Conference on Software Engineering (2012) | ICSE - 34th International Conference on Software Engineering, 2012 | 10.1109/ICSE.2012.6227139 | null | cs.SE cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Frequently asked questions (FAQs) are a popular way to document software
development knowledge. As creating such documents is expensive, this paper
presents an approach for automatically extracting FAQs from sources of software
development discussion, such as mailing lists and Internet forums, by combining
techniques... | [
{
"created": "Fri, 23 Mar 2012 07:13:06 GMT",
"version": "v1"
}
] | 2018-07-06 | [
[
"Henß",
"Stefan",
"",
"INRIA Lille - Nord Europe"
],
[
"Monperrus",
"Martin",
"",
"INRIA Lille - Nord Europe"
],
[
"Mezini",
"Mira",
""
]
] | Frequently asked questions (FAQs) are a popular way to document software development knowledge. As creating such documents is expensive, this paper presents an approach for automatically extracting FAQs from sources of software development discussion, such as mailing lists and Internet forums, by combining techniques o... |
1904.10159 | Liyong Lin | Liyong Lin, Yuting Zhu, Rong Su | Synthesis of Covert Actuator Attackers for Free | The paper has been accepted for the journal Discrete Event Dynamic
Systems | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we shall formulate and address a problem of covert actuator
attacker synthesis for cyber-physical systems that are modelled by
discrete-event systems. We assume the actuator attacker partially observes the
execution of the closed-loop system and is able to modify each control command
issued by the supe... | [
{
"created": "Tue, 23 Apr 2019 05:41:31 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Mar 2021 15:06:47 GMT",
"version": "v2"
}
] | 2021-03-23 | [
[
"Lin",
"Liyong",
""
],
[
"Zhu",
"Yuting",
""
],
[
"Su",
"Rong",
""
]
] | In this paper, we shall formulate and address a problem of covert actuator attacker synthesis for cyber-physical systems that are modelled by discrete-event systems. We assume the actuator attacker partially observes the execution of the closed-loop system and is able to modify each control command issued by the superv... |
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