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1808.00888
Patrick Slade
Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer
Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning
10 pages, 6 figures. arXiv admin note: text overlap with arXiv:1707.09055
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modeling errors. However, information gathering actions often conflict with optimal actions for...
[ { "created": "Wed, 1 Aug 2018 01:55:37 GMT", "version": "v1" } ]
2018-08-03
[ [ "Slade", "Patrick", "" ], [ "Sunberg", "Zachary N.", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to maintain robustness to changing dynamics or modeling errors. However, information gathering actions often conflict with optimal actions for r...
2303.11153
Yuquan Xiao
Yuquan Xiao and Qinghe Du
Statistical Age-of-Information Optimization for Status Update over Multi-State Fading Channels
This paper has been accepted by IEEE Transactions on Vehicular Technology
null
10.1109/TVT.2023.3336728
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Age of information (AoI) is a powerful metric to evaluate the freshness of information, where minimization of average statistics, such as the average AoI and average peak AoI, currently prevails in guiding freshness optimization for related applications. Although minimizing the statistics does improve the received in...
[ { "created": "Mon, 20 Mar 2023 14:35:39 GMT", "version": "v1" }, { "created": "Sat, 16 Sep 2023 03:28:35 GMT", "version": "v2" }, { "created": "Tue, 28 Nov 2023 03:22:28 GMT", "version": "v3" } ]
2023-11-29
[ [ "Xiao", "Yuquan", "" ], [ "Du", "Qinghe", "" ] ]
Age of information (AoI) is a powerful metric to evaluate the freshness of information, where minimization of average statistics, such as the average AoI and average peak AoI, currently prevails in guiding freshness optimization for related applications. Although minimizing the statistics does improve the received info...
2210.12316
Yupeng Hou
Yupeng Hou, Zhankui He, Julian McAuley, Wayne Xin Zhao
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Accepted by TheWebConf (WWW) 2023
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Recently, the generality of natural language text has been leveraged to develop transferable recommender systems. The basic idea is to employ pre-trained language models~(PLM) to encode item text into item representations. Despite the promising transferability, the binding between item text and item representations m...
[ { "created": "Sat, 22 Oct 2022 00:43:14 GMT", "version": "v1" }, { "created": "Sun, 12 Feb 2023 08:20:46 GMT", "version": "v2" } ]
2023-02-14
[ [ "Hou", "Yupeng", "" ], [ "He", "Zhankui", "" ], [ "McAuley", "Julian", "" ], [ "Zhao", "Wayne Xin", "" ] ]
Recently, the generality of natural language text has been leveraged to develop transferable recommender systems. The basic idea is to employ pre-trained language models~(PLM) to encode item text into item representations. Despite the promising transferability, the binding between item text and item representations mig...
2312.03562
Yassine Himeur
El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane, Mohcene Bessaoudi, Abdelmalik Ouamane, Yassine Himeur, Shadi Atalla and Wathiq Mansoor
Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of study holds a myriad of potential applications, spanning from image annotation and forensic analysis to social media research. Our research ...
[ { "created": "Wed, 6 Dec 2023 15:52:31 GMT", "version": "v1" } ]
2023-12-07
[ [ "Belabbaci", "El Ouanas", "" ], [ "Khammari", "Mohammed", "" ], [ "Chouchane", "Ammar", "" ], [ "Bessaoudi", "Mohcene", "" ], [ "Ouamane", "Abdelmalik", "" ], [ "Himeur", "Yassine", "" ], [ "Atalla", "Shadi", ...
The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of study holds a myriad of potential applications, spanning from image annotation and forensic analysis to social media research. Our research st...
1804.09635
Dongyeop Kang
Dongyeop Kang and Waleed Ammar and Bhavana Dalvi and Madeleine van Zuylen and Sebastian Kohlmeier and Eduard Hovy and Roy Schwartz
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
NAACL 2018
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research purposes (PeerRead v1) providing an opportunity to study this important artifact. The dataset consists of 14.7K paper drafts and the corresponding accept/re...
[ { "created": "Wed, 25 Apr 2018 15:41:15 GMT", "version": "v1" } ]
2018-04-26
[ [ "Kang", "Dongyeop", "" ], [ "Ammar", "Waleed", "" ], [ "Dalvi", "Bhavana", "" ], [ "van Zuylen", "Madeleine", "" ], [ "Kohlmeier", "Sebastian", "" ], [ "Hovy", "Eduard", "" ], [ "Schwartz", "Roy", "" ] ]
Peer reviewing is a central component in the scientific publishing process. We present the first public dataset of scientific peer reviews available for research purposes (PeerRead v1) providing an opportunity to study this important artifact. The dataset consists of 14.7K paper drafts and the corresponding accept/reje...
1411.3229
Tian Cao
Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek and Marc Niethammer
Multi-modal Image Registration for Correlative Microscopy
24 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Correlative microscopy is a methodology combining the functionality of light microscopy with the high resolution of electron microscopy and other microscopy technologies. Image registration for correlative microscopy is quite challenging because it is a multi-modal, multi-scale and multi-dimensional registration prob...
[ { "created": "Wed, 12 Nov 2014 16:32:17 GMT", "version": "v1" }, { "created": "Tue, 13 Jan 2015 15:44:08 GMT", "version": "v2" } ]
2015-01-14
[ [ "Cao", "Tian", "" ], [ "Zach", "Christopher", "" ], [ "Modla", "Shannon", "" ], [ "Powell", "Debbie", "" ], [ "Czymmek", "Kirk", "" ], [ "Niethammer", "Marc", "" ] ]
Correlative microscopy is a methodology combining the functionality of light microscopy with the high resolution of electron microscopy and other microscopy technologies. Image registration for correlative microscopy is quite challenging because it is a multi-modal, multi-scale and multi-dimensional registration proble...
2406.03248
Xiaoyu Zhang
Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang
Large Language Models as Evaluators for Recommendation Explanations
null
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The explainability of recommender systems has attracted significant attention in academia and industry. Many efforts have been made for explainable recommendations, yet evaluating the quality of the explanations remains a challenging and unresolved issue. In recent years, leveraging LLMs as evaluators presents a prom...
[ { "created": "Wed, 5 Jun 2024 13:23:23 GMT", "version": "v1" }, { "created": "Thu, 6 Jun 2024 04:31:37 GMT", "version": "v2" } ]
2024-06-07
[ [ "Zhang", "Xiaoyu", "" ], [ "Li", "Yishan", "" ], [ "Wang", "Jiayin", "" ], [ "Sun", "Bowen", "" ], [ "Ma", "Weizhi", "" ], [ "Sun", "Peijie", "" ], [ "Zhang", "Min", "" ] ]
The explainability of recommender systems has attracted significant attention in academia and industry. Many efforts have been made for explainable recommendations, yet evaluating the quality of the explanations remains a challenging and unresolved issue. In recent years, leveraging LLMs as evaluators presents a promis...
2304.10140
Maksymilian Wojnar
Wojciech Ciezobka, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Krzysztof Rusek
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks
11 pages, 8 figures, 5 tables
IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, 2023, pp. 242-251
10.1109/WoWMoM57956.2023.00039
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Data rate selection algorithms for Wi-Fi devices are an important area of research because they directly impact performance. Most of the proposals are based on measuring the transmission success probability for a given data rate. In dense scenarios, however, this probing approach will fail because frame collisions ar...
[ { "created": "Thu, 20 Apr 2023 08:02:14 GMT", "version": "v1" }, { "created": "Wed, 9 Aug 2023 08:10:40 GMT", "version": "v2" } ]
2023-08-10
[ [ "Ciezobka", "Wojciech", "" ], [ "Wojnar", "Maksymilian", "" ], [ "Kosek-Szott", "Katarzyna", "" ], [ "Szott", "Szymon", "" ], [ "Rusek", "Krzysztof", "" ] ]
Data rate selection algorithms for Wi-Fi devices are an important area of research because they directly impact performance. Most of the proposals are based on measuring the transmission success probability for a given data rate. In dense scenarios, however, this probing approach will fail because frame collisions are ...
2009.10430
Zhi Chen
Zhi Chen, Lu Chen, Yanbin Zhao, Su Zhu and Kai Yu
Dual Learning for Dialogue State Tracking
7 pages, 4 figures
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In task-oriented multi-turn dialogue systems, dialogue state refers to a compact representation of the user goal in the context of dialogue history. Dialogue state tracking (DST) is to estimate the dialogue state at each turn. Due to the dependency on complicated dialogue history contexts, DST data annotation is more...
[ { "created": "Tue, 22 Sep 2020 10:15:09 GMT", "version": "v1" } ]
2020-09-23
[ [ "Chen", "Zhi", "" ], [ "Chen", "Lu", "" ], [ "Zhao", "Yanbin", "" ], [ "Zhu", "Su", "" ], [ "Yu", "Kai", "" ] ]
In task-oriented multi-turn dialogue systems, dialogue state refers to a compact representation of the user goal in the context of dialogue history. Dialogue state tracking (DST) is to estimate the dialogue state at each turn. Due to the dependency on complicated dialogue history contexts, DST data annotation is more e...
2109.14309
Vladimir V'yugin
Vladimir V'yugin and Vladimir Trunov
Online Aggregation of Probability Forecasts with Confidence
32 pages, 10 figures
Pattern Recognition, Volume 121, January 2022, 108193
null
null
cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
The paper presents numerical experiments and some theoretical developments in prediction with expert advice (PEA). One experiment deals with predicting electricity consumption depending on temperature and uses real data. As the pattern of dependence can change with season and time of the day, the domain naturally adm...
[ { "created": "Wed, 29 Sep 2021 09:49:16 GMT", "version": "v1" } ]
2021-09-30
[ [ "V'yugin", "Vladimir", "" ], [ "Trunov", "Vladimir", "" ] ]
The paper presents numerical experiments and some theoretical developments in prediction with expert advice (PEA). One experiment deals with predicting electricity consumption depending on temperature and uses real data. As the pattern of dependence can change with season and time of the day, the domain naturally admit...
1401.3837
Moshe Babaioff
Moshe Babaioff, Michal Feldman, Noam Nisan
Mixed Strategies in Combinatorial Agency
null
Journal Of Artificial Intelligence Research, Volume 38, pages 339-369, 2010
10.1613/jair.2961
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many multiagent domains a set of agents exert effort towards a joint outcome, yet the individual effort levels cannot be easily observed. A typical example for such a scenario is routing in communication networks, where the sender can only observe whether the packet reached its destination, but often has no inform...
[ { "created": "Thu, 16 Jan 2014 04:51:30 GMT", "version": "v1" } ]
2014-01-17
[ [ "Babaioff", "Moshe", "" ], [ "Feldman", "Michal", "" ], [ "Nisan", "Noam", "" ] ]
In many multiagent domains a set of agents exert effort towards a joint outcome, yet the individual effort levels cannot be easily observed. A typical example for such a scenario is routing in communication networks, where the sender can only observe whether the packet reached its destination, but often has no informat...
2312.03335
Yao Zhang
Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting non-termination is crucial for ensuring program correctness and security, such as preventing denial-of-service attacks. While termination analysis has been studied for many years, existing methods have limited scalability and are only effective on small programs. To address this issue, we propose a practica...
[ { "created": "Wed, 6 Dec 2023 08:13:30 GMT", "version": "v1" } ]
2023-12-07
[ [ "Zhang", "Yao", "" ], [ "Xie", "Xiaofei", "" ], [ "Li", "Yi", "" ], [ "Chen", "Sen", "" ], [ "Zhang", "Cen", "" ], [ "Li", "Xiaohong", "" ] ]
Detecting non-termination is crucial for ensuring program correctness and security, such as preventing denial-of-service attacks. While termination analysis has been studied for many years, existing methods have limited scalability and are only effective on small programs. To address this issue, we propose a practical ...
1909.12913
Prabin Sharma
Prabin Sharma, Shubham Joshi, Subash Gautam, Sneha Maharjan, Salik Ram Khanal, Manuel Cabral Reis, Jo\~ao Barroso, V\'itor Manuel de Jesus Filipe
Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning
9 pages, 9 Figures, 2 tables
null
null
null
cs.CV cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers, researchers and policy makers. Here, we present a system to detect the engagement leve...
[ { "created": "Wed, 18 Sep 2019 15:46:48 GMT", "version": "v1" }, { "created": "Fri, 8 Nov 2019 09:28:54 GMT", "version": "v2" }, { "created": "Mon, 28 Sep 2020 16:56:12 GMT", "version": "v3" }, { "created": "Sat, 26 Dec 2020 19:05:15 GMT", "version": "v4" }, { "cr...
2023-03-24
[ [ "Sharma", "Prabin", "" ], [ "Joshi", "Shubham", "" ], [ "Gautam", "Subash", "" ], [ "Maharjan", "Sneha", "" ], [ "Khanal", "Salik Ram", "" ], [ "Reis", "Manuel Cabral", "" ], [ "Barroso", "João", "" ], ...
With the increase of distance learning, in general, and e-learning, in particular, having a system capable of determining the engagement of students is of primordial importance, and one of the biggest challenges, both for teachers, researchers and policy makers. Here, we present a system to detect the engagement level ...
1903.02725
Wyatt Felt
Wyatt Felt
An Inverting-Tube Clutching Contractile Soft Pneumatic Actuator
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the simple synergistic combination of a novel contracting soft pneumatic actuator with a soft clutch (linear brake). The device is designated the Inverting-tube Vacuum ACtuator with Clutch (InVACC). The actuator alone (no clutch) is designated "InVAC" and uses vacuum pressure to invert a thin tube...
[ { "created": "Thu, 7 Mar 2019 04:39:17 GMT", "version": "v1" } ]
2019-03-08
[ [ "Felt", "Wyatt", "" ] ]
This paper presents the simple synergistic combination of a novel contracting soft pneumatic actuator with a soft clutch (linear brake). The device is designated the Inverting-tube Vacuum ACtuator with Clutch (InVACC). The actuator alone (no clutch) is designated "InVAC" and uses vacuum pressure to invert a thin tube i...
2404.06619
Jane Dwivedi-Yu
Jane Dwivedi-Yu and Raaz Dwivedi and Timo Schick
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
null
null
null
null
cs.CL cs.CY cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
The accurate evaluation of differential treatment in language models to specific groups is critical to ensuring a positive and safe user experience. An ideal evaluation should have the properties of being robust, extendable to new groups or attributes, and being able to capture biases that appear in typical usage (ra...
[ { "created": "Tue, 9 Apr 2024 21:09:22 GMT", "version": "v1" } ]
2024-04-11
[ [ "Dwivedi-Yu", "Jane", "" ], [ "Dwivedi", "Raaz", "" ], [ "Schick", "Timo", "" ] ]
The accurate evaluation of differential treatment in language models to specific groups is critical to ensuring a positive and safe user experience. An ideal evaluation should have the properties of being robust, extendable to new groups or attributes, and being able to capture biases that appear in typical usage (rath...
2309.07933
EPTCS
Rob van Glabbeek (University of Edinburgh), Peter H\"ofner (Australian National University, Canberra), Weiyou Wang (Australian National University, Canberra)
A Lean-Congruence Format for EP-Bisimilarity
In Proceedings EXPRESS/SOS2023, arXiv:2309.05788. A full version of this paper, enriched with two appendices, is available at arXiv:2308.16350
EPTCS 387, 2023, pp. 59-75
10.4204/EPTCS.387.6
EPTCS 387-6
cs.LO
http://creativecommons.org/licenses/by/4.0/
Enabling preserving bisimilarity is a refinement of strong bisimilarity that preserves safety as well as liveness properties. To define it properly, labelled transition systems needed to be upgraded with a successor relation, capturing concurrency between transitions enabled in the same state. We enrich the well-know...
[ { "created": "Wed, 13 Sep 2023 20:51:32 GMT", "version": "v1" } ]
2023-09-18
[ [ "van Glabbeek", "Rob", "", "University of Edinburgh" ], [ "Höfner", "Peter", "", "Australian\n National University, Canberra" ], [ "Wang", "Weiyou", "", "Australian National University,\n Canberra" ] ]
Enabling preserving bisimilarity is a refinement of strong bisimilarity that preserves safety as well as liveness properties. To define it properly, labelled transition systems needed to be upgraded with a successor relation, capturing concurrency between transitions enabled in the same state. We enrich the well-known ...
2311.13385
Bo Zhao
Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Precise image segmentation provides clinical study with instructive information. Despite the remarkable progress achieved in medical image segmentation, there is still an absence of 3D foundation segmentation model that can segment a wide range of anatomical categories with easy user interaction. In this paper, we pr...
[ { "created": "Wed, 22 Nov 2023 13:27:36 GMT", "version": "v1" }, { "created": "Thu, 29 Feb 2024 03:27:28 GMT", "version": "v2" }, { "created": "Tue, 26 Mar 2024 10:21:46 GMT", "version": "v3" } ]
2024-03-27
[ [ "Du", "Yuxin", "" ], [ "Bai", "Fan", "" ], [ "Huang", "Tiejun", "" ], [ "Zhao", "Bo", "" ] ]
Precise image segmentation provides clinical study with instructive information. Despite the remarkable progress achieved in medical image segmentation, there is still an absence of 3D foundation segmentation model that can segment a wide range of anatomical categories with easy user interaction. In this paper, we prop...
2104.00876
Aryia Dattamajumdar
Aryia Dattamajumdar
An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
1.3 million household fires, 3,400 civilian deaths, and 23 billion dollars in damage, a fire department is called to respond every 24 seconds. Many firefighters are injured during search and rescue operations due to hidden dangers. Additionally, fire-retardant water runoff pollution can threaten human health. My goal...
[ { "created": "Fri, 2 Apr 2021 03:51:47 GMT", "version": "v1" } ]
2021-04-05
[ [ "Dattamajumdar", "Aryia", "" ] ]
1.3 million household fires, 3,400 civilian deaths, and 23 billion dollars in damage, a fire department is called to respond every 24 seconds. Many firefighters are injured during search and rescue operations due to hidden dangers. Additionally, fire-retardant water runoff pollution can threaten human health. My goal i...
2408.06324
Spyros Kontogiannis
Spyros Kontogiannis and Andreas Paraskevopoulos and Christos Zaroliagis
Online Vehicle Routing with Pickups and Deliveries under Time-Dependent Travel-Time Constraints
25 pages, extended version of the ATMOS 2024 accepted paper
null
null
null
cs.CE cs.DS
http://creativecommons.org/licenses/by/4.0/
The Vehicle Routing Problem with pickups, deliveries and spatiotemporal service constraints ($VRPPDSTC$) is a quite challenging algorithmic problem that can be dealt with in either an offline or an online fashion. In this work, we focus on a generalization, called $VRPPDSTCtd$, in which the travel-time metric is \emp...
[ { "created": "Mon, 12 Aug 2024 17:43:48 GMT", "version": "v1" }, { "created": "Tue, 13 Aug 2024 06:32:22 GMT", "version": "v2" } ]
2024-08-14
[ [ "Kontogiannis", "Spyros", "" ], [ "Paraskevopoulos", "Andreas", "" ], [ "Zaroliagis", "Christos", "" ] ]
The Vehicle Routing Problem with pickups, deliveries and spatiotemporal service constraints ($VRPPDSTC$) is a quite challenging algorithmic problem that can be dealt with in either an offline or an online fashion. In this work, we focus on a generalization, called $VRPPDSTCtd$, in which the travel-time metric is \emph{...
1005.2405
Ozan Candogan
Ozan Candogan, Ishai Menache, Asuman Ozdaglar, Pablo A. Parrilo
Flows and Decompositions of Games: Harmonic and Potential Games
null
Mathematics of Operations Research, Vol. 36, No. 3, pp. 474-503, 2011
10.1287/moor.1110.0500
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we introduce a novel flow representation for finite games in strategic form. This representation allows us to develop a canonical direct sum decomposition of an arbitrary game into three components, which we refer to as the potential, harmonic and nonstrategic components. We analyze natural classes of g...
[ { "created": "Thu, 13 May 2010 19:55:59 GMT", "version": "v1" }, { "created": "Fri, 25 Jun 2010 03:22:21 GMT", "version": "v2" } ]
2015-03-17
[ [ "Candogan", "Ozan", "" ], [ "Menache", "Ishai", "" ], [ "Ozdaglar", "Asuman", "" ], [ "Parrilo", "Pablo A.", "" ] ]
In this paper we introduce a novel flow representation for finite games in strategic form. This representation allows us to develop a canonical direct sum decomposition of an arbitrary game into three components, which we refer to as the potential, harmonic and nonstrategic components. We analyze natural classes of gam...
1103.2240
Xin Kang
Xin Kang, Rui Zhang, and Mehul Motani
Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach
27 pages, 7 figures, Submitted to JSAC
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS)...
[ { "created": "Fri, 11 Mar 2011 10:44:51 GMT", "version": "v1" } ]
2015-03-19
[ [ "Kang", "Xin", "" ], [ "Zhang", "Rui", "" ], [ "Motani", "Mehul", "" ] ]
This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS) p...
2306.08894
Alena Chang
Alena Chang, Yinxin Wan, Guoliang Xue, Arunabha Sen
Entanglement Distribution in Satellite-based Dynamic Quantum Networks
null
null
null
null
cs.NI quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Low Earth Orbit (LEO) satellites present a compelling opportunity for the establishment of a global quantum information network. However, satellite-based entanglement distribution from a networking perspective has not been fully investigated. Existing works often do not account for satellite movement over time when d...
[ { "created": "Thu, 15 Jun 2023 06:56:26 GMT", "version": "v1" } ]
2023-06-16
[ [ "Chang", "Alena", "" ], [ "Wan", "Yinxin", "" ], [ "Xue", "Guoliang", "" ], [ "Sen", "Arunabha", "" ] ]
Low Earth Orbit (LEO) satellites present a compelling opportunity for the establishment of a global quantum information network. However, satellite-based entanglement distribution from a networking perspective has not been fully investigated. Existing works often do not account for satellite movement over time when dis...
2311.17498
Daniel Zentai
Daniel Zentai, Mihail Plesa, Robin Frot
A Multiparty Commutative Hashing Protocol based on the Discrete Logarithm Problem
11 pages, 2 figures, presented at the 3rd International Conference on Cryptography and Blockchain, published in Computer Science & Information Technology (CS & IT), ISSN : 2231 - 5403, Volume 13, Number 21, November 2023
Computer Science & Information Technology (CS & IT), ISSN : 2231 - 5403, Volume 13, Number 21, November 2023
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Let $\mathcal{X}$ and $\mathcal{Y}$ be two sets and suppose that a set of participants $P=\{P_1,P_2,\dots,P_n\}$ would like to calculate the keyed hash value of some message $m\in\mathcal{X}$ known to a single participant in $P$ called the data owner. Also, suppose that each participant $P_i$ knows a secret value $x_...
[ { "created": "Wed, 29 Nov 2023 10:19:34 GMT", "version": "v1" } ]
2023-11-30
[ [ "Zentai", "Daniel", "" ], [ "Plesa", "Mihail", "" ], [ "Frot", "Robin", "" ] ]
Let $\mathcal{X}$ and $\mathcal{Y}$ be two sets and suppose that a set of participants $P=\{P_1,P_2,\dots,P_n\}$ would like to calculate the keyed hash value of some message $m\in\mathcal{X}$ known to a single participant in $P$ called the data owner. Also, suppose that each participant $P_i$ knows a secret value $x_i\...
1903.12483
Saulo Martiello Mastelini
Saulo Martiello Mastelini, Sylvio Barbon Jr., Andr\'e Carlos Ponce de Leon Ferreira de Carvalho
Online Multi-target regression trees with stacked leaf models
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the current challenges in machine learning is how to deal with data coming at increasing rates in data streams. New predictive learning strategies are needed to cope with the high throughput data and concept drift. One of the data stream mining tasks where new learning strategies are needed is multi-target reg...
[ { "created": "Fri, 29 Mar 2019 12:42:03 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2019 12:21:44 GMT", "version": "v2" }, { "created": "Mon, 1 Jul 2019 19:50:03 GMT", "version": "v3" }, { "created": "Tue, 10 Mar 2020 17:59:39 GMT", "version": "v4" } ]
2020-03-11
[ [ "Mastelini", "Saulo Martiello", "" ], [ "Barbon", "Sylvio", "Jr." ], [ "de Carvalho", "André Carlos Ponce de Leon Ferreira", "" ] ]
One of the current challenges in machine learning is how to deal with data coming at increasing rates in data streams. New predictive learning strategies are needed to cope with the high throughput data and concept drift. One of the data stream mining tasks where new learning strategies are needed is multi-target regre...
2212.08362
Bohan Zhao
Bohan Zhao, Wenfei Wu, Wei Xu
NetRPC: Enabling In-Network Computation in Remote Procedure Calls
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
People have shown that in-network computation (INC) significantly boosts performance in many application scenarios include distributed training, MapReduce, agreement, and network monitoring. However, existing INC programming is unfriendly to the normal application developers, demanding tedious network engineering det...
[ { "created": "Fri, 16 Dec 2022 09:21:44 GMT", "version": "v1" } ]
2022-12-19
[ [ "Zhao", "Bohan", "" ], [ "Wu", "Wenfei", "" ], [ "Xu", "Wei", "" ] ]
People have shown that in-network computation (INC) significantly boosts performance in many application scenarios include distributed training, MapReduce, agreement, and network monitoring. However, existing INC programming is unfriendly to the normal application developers, demanding tedious network engineering detai...
2310.02990
Obinnaya Chikezie Victor Nwosu
Nwosu Obinnaya Chikezie Victor
Exploring API Capabilities with Fieldwire
12 pages, 9 Figures, 3 Tables, Table 3 KPI evaluation before and after API
null
null
null
cs.SE cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Fieldwire, a cloud-based construction management software, has become a pivotal tool in the construction industry. It offers a comprehensive suite of features encompassing project management, task tracking, document management, and collaboration. With the rise of Application Programming Interfaces (APIs) in the softw...
[ { "created": "Wed, 4 Oct 2023 17:26:44 GMT", "version": "v1" } ]
2023-10-05
[ [ "Victor", "Nwosu Obinnaya Chikezie", "" ] ]
Fieldwire, a cloud-based construction management software, has become a pivotal tool in the construction industry. It offers a comprehensive suite of features encompassing project management, task tracking, document management, and collaboration. With the rise of Application Programming Interfaces (APIs) in the softwar...
1709.01870
Sunrita Poddar
Sunrita Poddar, Mathews Jacob
Clustering of Data with Missing Entries using Non-convex Fusion Penalties
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The presence of missing entries in data often creates challenges for pattern recognition algorithms. Traditional algorithms for clustering data assume that all the feature values are known for every data point. We propose a method to cluster data in the presence of missing information. Unlike conventional clustering ...
[ { "created": "Wed, 6 Sep 2017 15:59:57 GMT", "version": "v1" } ]
2017-09-07
[ [ "Poddar", "Sunrita", "" ], [ "Jacob", "Mathews", "" ] ]
The presence of missing entries in data often creates challenges for pattern recognition algorithms. Traditional algorithms for clustering data assume that all the feature values are known for every data point. We propose a method to cluster data in the presence of missing information. Unlike conventional clustering te...
2405.17283
Anand Gopalakrishnan
Anand Gopalakrishnan, Aleksandar Stani\'c, J\"urgen Schmidhuber, Michael Curtis Mozer
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
minor typo fixed
null
null
null
cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
Current state-of-the-art synchrony-based models encode object bindings with complex-valued activations and compute with real-valued weights in feedforward architectures. We argue for the computational advantages of a recurrent architecture with complex-valued weights. We propose a fully convolutional autoencoder, Syn...
[ { "created": "Mon, 27 May 2024 15:47:03 GMT", "version": "v1" }, { "created": "Tue, 28 May 2024 12:06:28 GMT", "version": "v2" } ]
2024-05-29
[ [ "Gopalakrishnan", "Anand", "" ], [ "Stanić", "Aleksandar", "" ], [ "Schmidhuber", "Jürgen", "" ], [ "Mozer", "Michael Curtis", "" ] ]
Current state-of-the-art synchrony-based models encode object bindings with complex-valued activations and compute with real-valued weights in feedforward architectures. We argue for the computational advantages of a recurrent architecture with complex-valued weights. We propose a fully convolutional autoencoder, SynCx...
2310.17250
Zsolt Janos Viharos Dr.
Anh T. Hoang, Zsolt J. Viharos
IDENAS: Internal Dependency Exploration for Neural Architecture Search
57 pages, 19 figures + appendix, the related software code can be found under the link: https://github.com/viharoszsolt/IDENAS
null
null
null
cs.LG cs.AI cs.NE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. Traditional algorithms rely on well-defined input and output variables however, there are scenarios where the distinction between the input and output variables and the underlying, associated ...
[ { "created": "Thu, 26 Oct 2023 08:58:29 GMT", "version": "v1" } ]
2023-10-27
[ [ "Hoang", "Anh T.", "" ], [ "Viharos", "Zsolt J.", "" ] ]
Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. Traditional algorithms rely on well-defined input and output variables however, there are scenarios where the distinction between the input and output variables and the underlying, associated (i...
2304.04437
Tobias Baumgartner
Tobias Baumgartner and Stefanie Klatt
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
accept at "9th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2023"
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The filming of sporting events projects and flattens the movement of athletes in the world onto a 2D broadcast image. The pixel locations of joints in these images can be detected with high validity. Recovering the actual 3D movement of the limbs (kinematics) of the athletes requires lifting these 2D pixel locations ...
[ { "created": "Mon, 10 Apr 2023 07:41:44 GMT", "version": "v1" } ]
2023-04-11
[ [ "Baumgartner", "Tobias", "" ], [ "Klatt", "Stefanie", "" ] ]
The filming of sporting events projects and flattens the movement of athletes in the world onto a 2D broadcast image. The pixel locations of joints in these images can be detected with high validity. Recovering the actual 3D movement of the limbs (kinematics) of the athletes requires lifting these 2D pixel locations ba...
1402.3821
Ylies Falcone
Tom Cornebize and Yli\`es Falcone
Efficient and Generalized Decentralized Monitoring of Regular Languages
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main contribution of this paper is an efficient and generalized decentralized monitoring algorithm allowing to detect satisfaction or violation of any regular specification by local monitors alone in a system without central observation point. Our algorithm does not assume any form of synchronization between syst...
[ { "created": "Sun, 16 Feb 2014 17:49:57 GMT", "version": "v1" } ]
2014-02-18
[ [ "Cornebize", "Tom", "" ], [ "Falcone", "Yliès", "" ] ]
The main contribution of this paper is an efficient and generalized decentralized monitoring algorithm allowing to detect satisfaction or violation of any regular specification by local monitors alone in a system without central observation point. Our algorithm does not assume any form of synchronization between system...
1609.05132
James Garland
James Garland, David Gregg
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
4 pages
null
10.1109/LCA.2017.2656880
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional Neural Networks (CNNs) are one of the most successful deep machine learning technologies for processing image, voice and video data. CNNs require large amounts of processing capacity and memory, which can exceed the resources of low power mobile and embedded systems. Several designs for hardware acceler...
[ { "created": "Tue, 30 Aug 2016 13:41:41 GMT", "version": "v1" }, { "created": "Sun, 15 Jan 2017 19:23:59 GMT", "version": "v2" }, { "created": "Tue, 17 Jan 2017 14:36:21 GMT", "version": "v3" }, { "created": "Thu, 19 Jan 2017 16:07:03 GMT", "version": "v4" } ]
2017-08-17
[ [ "Garland", "James", "" ], [ "Gregg", "David", "" ] ]
Convolutional Neural Networks (CNNs) are one of the most successful deep machine learning technologies for processing image, voice and video data. CNNs require large amounts of processing capacity and memory, which can exceed the resources of low power mobile and embedded systems. Several designs for hardware accelerat...
cs/0702064
Terence H. Chan
Terence H. Chan
Group characterizable entropy functions
null
null
null
null
cs.IT math.IT
null
This paper studies properties of entropy functions that are induced by groups and subgroups. We showed that many information theoretic properties of those group induced entropy functions also have corresponding group theoretic interpretations. Then we propose an extension method to find outer bound for these group in...
[ { "created": "Sat, 10 Feb 2007 12:38:13 GMT", "version": "v1" } ]
2007-07-13
[ [ "Chan", "Terence H.", "" ] ]
This paper studies properties of entropy functions that are induced by groups and subgroups. We showed that many information theoretic properties of those group induced entropy functions also have corresponding group theoretic interpretations. Then we propose an extension method to find outer bound for these group indu...
1010.0406
Shlomo Jozpeh
Uriel Feige, Shlomo Jozeph
Oblivious Algorithms for the Maximum Directed Cut Problem
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a special family of randomized algorithms for Max DICUT that we call oblivious algorithms. Let the bias of a vertex be the ratio between the total weight of its outgoing edges and the total weight of all its edges. An oblivious algorithm selects at random in which side of the cut to place a vert...
[ { "created": "Sun, 3 Oct 2010 14:05:40 GMT", "version": "v1" } ]
2010-10-05
[ [ "Feige", "Uriel", "" ], [ "Jozeph", "Shlomo", "" ] ]
This paper introduces a special family of randomized algorithms for Max DICUT that we call oblivious algorithms. Let the bias of a vertex be the ratio between the total weight of its outgoing edges and the total weight of all its edges. An oblivious algorithm selects at random in which side of the cut to place a vertex...
1810.01730
Ben Chugg
Ben Chugg, Takanori Maehara
Submodular Stochastic Probing with Prices
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce Stochastic Probing with Prices (SPP), a variant of the Stochastic Probing (SP) model in which we must pay a price to probe an element. A SPP problem involves two set systems $(N,\mathcal{I}_{in})$ and $(N,\mathcal{I}_{out})$ where each $e\in N$ is active with probability $p_e$. To discover whether $e$ is...
[ { "created": "Wed, 3 Oct 2018 13:31:07 GMT", "version": "v1" }, { "created": "Sun, 14 Oct 2018 18:05:37 GMT", "version": "v2" }, { "created": "Tue, 8 Jan 2019 09:14:25 GMT", "version": "v3" } ]
2019-01-09
[ [ "Chugg", "Ben", "" ], [ "Maehara", "Takanori", "" ] ]
We introduce Stochastic Probing with Prices (SPP), a variant of the Stochastic Probing (SP) model in which we must pay a price to probe an element. A SPP problem involves two set systems $(N,\mathcal{I}_{in})$ and $(N,\mathcal{I}_{out})$ where each $e\in N$ is active with probability $p_e$. To discover whether $e$ is a...
1802.10229
Yi Yang
Yi Yang, Ozan Irsoy, Kazi Shefaet Rahman
Collective Entity Disambiguation with Structured Gradient Tree Boosting
Accepted by NAACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a gradient-tree-boosting-based structured learning model for jointly disambiguating named entities in a document. Gradient tree boosting is a widely used machine learning algorithm that underlies many top-performing natural language processing systems. Surprisingly, most works limit the use of gradient tre...
[ { "created": "Wed, 28 Feb 2018 02:01:30 GMT", "version": "v1" }, { "created": "Tue, 24 Apr 2018 01:23:48 GMT", "version": "v2" } ]
2018-04-25
[ [ "Yang", "Yi", "" ], [ "Irsoy", "Ozan", "" ], [ "Rahman", "Kazi Shefaet", "" ] ]
We present a gradient-tree-boosting-based structured learning model for jointly disambiguating named entities in a document. Gradient tree boosting is a widely used machine learning algorithm that underlies many top-performing natural language processing systems. Surprisingly, most works limit the use of gradient tree ...
1504.06049
Michael Ruderman
Michael Ruderman
State-space formulation of scalar Preisach hysteresis model for rapid computation in time domain
null
null
10.1016/j.apm.2015.09.065
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A state-space formulation of classical scalar Preisach model (CSPM) of hysteresis is proposed. The introduced state dynamics and memory interface allow to use the state equation, which is rapid in calculation, instead of the original Preisach equation. The main benefit of the proposed modeling approach is the reduced...
[ { "created": "Thu, 23 Apr 2015 06:15:08 GMT", "version": "v1" } ]
2017-05-02
[ [ "Ruderman", "Michael", "" ] ]
A state-space formulation of classical scalar Preisach model (CSPM) of hysteresis is proposed. The introduced state dynamics and memory interface allow to use the state equation, which is rapid in calculation, instead of the original Preisach equation. The main benefit of the proposed modeling approach is the reduced c...
1802.06183
Ikechukwu Maduako
Maduako N. Ikechukwu, Francis I. Okeke
Towards Realisation of Heterogeneous Earth-Observation Sensor Database Framework for the Sensor Observation Service based on PostGIS
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote Geosensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic...
[ { "created": "Sat, 17 Feb 2018 03:52:21 GMT", "version": "v1" } ]
2018-02-20
[ [ "Ikechukwu", "Maduako N.", "" ], [ "Okeke", "Francis I.", "" ] ]
Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote Geosensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic s...
2406.08862
Alexi Gladstone
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Aman Chadha, Jundong Li, Tariq Iqbal
Cognitively Inspired Energy-Based World Models
23 pages, 6 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
One of the predominant methods for training world models is autoregressive prediction in the output space of the next element of a sequence. In Natural Language Processing (NLP), this takes the form of Large Language Models (LLMs) predicting the next token; in Computer Vision (CV), this takes the form of autoregressi...
[ { "created": "Thu, 13 Jun 2024 06:54:37 GMT", "version": "v1" } ]
2024-06-14
[ [ "Gladstone", "Alexi", "" ], [ "Nanduru", "Ganesh", "" ], [ "Islam", "Md Mofijul", "" ], [ "Chadha", "Aman", "" ], [ "Li", "Jundong", "" ], [ "Iqbal", "Tariq", "" ] ]
One of the predominant methods for training world models is autoregressive prediction in the output space of the next element of a sequence. In Natural Language Processing (NLP), this takes the form of Large Language Models (LLMs) predicting the next token; in Computer Vision (CV), this takes the form of autoregressive...
1708.03800
Michel Fliess
Hassane Aboua\"issa, Ola Alhaj Hasan, C\'edric Join, Michel Fliess, Didier Defer
Energy saving for building heating via a simple and efficient model-free control design: First steps with computer simulations
21st International Conference on System Theory, Control and Computing, October 2017, Sinaia, Romania
null
null
null
cs.SY cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now. This topic is addressed here via a new model-free control setting, where the need of any mathematical description disa...
[ { "created": "Sat, 12 Aug 2017 17:35:52 GMT", "version": "v1" }, { "created": "Wed, 6 Sep 2017 20:21:03 GMT", "version": "v2" } ]
2017-09-08
[ [ "Abouaïssa", "Hassane", "" ], [ "Hasan", "Ola Alhaj", "" ], [ "Join", "Cédric", "" ], [ "Fliess", "Michel", "" ], [ "Defer", "Didier", "" ] ]
The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now. This topic is addressed here via a new model-free control setting, where the need of any mathematical description disapp...
2103.12523
Anshul Pundhir
Anshul Pundhir, Deepak Verma, Puneet Kumar, Balasubramanian Raman
Region extraction based approach for cigarette usage classification using deep learning
5 pages, 16 figures. To appear in the proceedings of the 28th IEEE International Conference on Image Processing (IEEE - ICIP), September 19-22, 2021, Anchorage, Alaska, USA
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper has proposed a novel approach to classify the subjects' smoking behavior by extracting relevant regions from a given image using deep learning. After the classification, we have proposed a conditional detection module based on Yolo-v3, which improves model's performance and reduces its complexity. As per t...
[ { "created": "Tue, 23 Mar 2021 13:19:43 GMT", "version": "v1" } ]
2021-03-24
[ [ "Pundhir", "Anshul", "" ], [ "Verma", "Deepak", "" ], [ "Kumar", "Puneet", "" ], [ "Raman", "Balasubramanian", "" ] ]
This paper has proposed a novel approach to classify the subjects' smoking behavior by extracting relevant regions from a given image using deep learning. After the classification, we have proposed a conditional detection module based on Yolo-v3, which improves model's performance and reduces its complexity. As per the...
1311.6235
Tomasz Kociumaka
Tomasz Kociumaka, Jakub Radoszewski, Wojciech Rytter, Tomasz Wale\'n
Internal Pattern Matching Queries in a Text and Applications
42 pages, 13 figures; an updated version of a paper presented at SODA 2015
null
10.1137/1.9781611973730.36
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider several types of internal queries, that is, questions about fragments of a given text $T$ specified in constant space by their locations in $T$. Our main result is an optimal data structure for Internal Pattern Matching (IPM) queries which, given two fragments $x$ and $y$, ask for a representation of all ...
[ { "created": "Mon, 25 Nov 2013 08:49:39 GMT", "version": "v1" }, { "created": "Tue, 18 Mar 2014 09:56:29 GMT", "version": "v2" }, { "created": "Tue, 26 Aug 2014 16:11:45 GMT", "version": "v3" }, { "created": "Mon, 13 Oct 2014 16:33:19 GMT", "version": "v4" }, { "c...
2023-05-03
[ [ "Kociumaka", "Tomasz", "" ], [ "Radoszewski", "Jakub", "" ], [ "Rytter", "Wojciech", "" ], [ "Waleń", "Tomasz", "" ] ]
We consider several types of internal queries, that is, questions about fragments of a given text $T$ specified in constant space by their locations in $T$. Our main result is an optimal data structure for Internal Pattern Matching (IPM) queries which, given two fragments $x$ and $y$, ask for a representation of all fr...
2102.00892
Sina Hajimiri
Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE
16 pages, 10 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, extending variational autoencoder's framework to learn disentangled representations has received much attention. We address this problem by proposing a framework capable of disentangling class-related and class-independent factors of variation in data. Our framework employs an attention mechanism in ...
[ { "created": "Mon, 1 Feb 2021 15:05:24 GMT", "version": "v1" } ]
2021-02-02
[ [ "Hajimiri", "Sina", "" ], [ "Lotfi", "Aryo", "" ], [ "Baghshah", "Mahdieh Soleymani", "" ] ]
In recent years, extending variational autoencoder's framework to learn disentangled representations has received much attention. We address this problem by proposing a framework capable of disentangling class-related and class-independent factors of variation in data. Our framework employs an attention mechanism in it...
2209.11094
Jack Saunders Mr
Jack Saunders, Sajad Saeedi, Wenbin Li
Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
This work has been submitted to the IEEE International Conference on Robotics and Automation (ICRA) for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Reinforcement learning (RL) is an agent-based approach for teaching robots to navigate within the physical world. Gathering data for RL is known to be a laborious task, and real-world experiments can be risky. Simulators facilitate the collection of training data in a quicker and more cost-effective manner. However, ...
[ { "created": "Thu, 22 Sep 2022 15:27:42 GMT", "version": "v1" } ]
2022-09-23
[ [ "Saunders", "Jack", "" ], [ "Saeedi", "Sajad", "" ], [ "Li", "Wenbin", "" ] ]
Reinforcement learning (RL) is an agent-based approach for teaching robots to navigate within the physical world. Gathering data for RL is known to be a laborious task, and real-world experiments can be risky. Simulators facilitate the collection of training data in a quicker and more cost-effective manner. However, RL...
2405.10531
Chen Zhang
Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik-Chung Wu, Ngai Wong
Nonparametric Teaching of Implicit Neural Representations
ICML 2024 (24 pages, 13 figures)
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the learning of implicit neural representation (INR) using an overparameterized multilayer perceptron (MLP) via a novel nonparametric teaching perspective. The latter offers an efficient example selection framework for teaching nonparametrically defined (viz. non-closed-form) target functions, such as ...
[ { "created": "Fri, 17 May 2024 04:20:39 GMT", "version": "v1" } ]
2024-05-20
[ [ "Zhang", "Chen", "" ], [ "Luo", "Steven Tin Sui", "" ], [ "Li", "Jason Chun Lok", "" ], [ "Wu", "Yik-Chung", "" ], [ "Wong", "Ngai", "" ] ]
We investigate the learning of implicit neural representation (INR) using an overparameterized multilayer perceptron (MLP) via a novel nonparametric teaching perspective. The latter offers an efficient example selection framework for teaching nonparametrically defined (viz. non-closed-form) target functions, such as im...
1806.02693
Aaron Weiss
Aaron Weiss, Daniel Patterson, and Amal Ahmed
Rust Distilled: An Expressive Tower of Languages
ML '18 Final
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rust represents a major advancement in production programming languages because of its success in bridging the gap between high-level application programming and low-level systems programming. At the heart of its design lies a novel approach to ownership that remains highly programmable. In this talk, we will descr...
[ { "created": "Thu, 7 Jun 2018 14:13:04 GMT", "version": "v1" }, { "created": "Thu, 16 Aug 2018 18:34:19 GMT", "version": "v2" } ]
2018-08-20
[ [ "Weiss", "Aaron", "" ], [ "Patterson", "Daniel", "" ], [ "Ahmed", "Amal", "" ] ]
Rust represents a major advancement in production programming languages because of its success in bridging the gap between high-level application programming and low-level systems programming. At the heart of its design lies a novel approach to ownership that remains highly programmable. In this talk, we will describe ...
2211.09330
Sangdon Park
Sangdon Park and Osbert Bastani and Taesoo Kim
ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles
Accepted to USENIX Security 2023
null
null
null
cs.CR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blockchains with smart contracts are distributed ledger systems that achieve block-state consistency among distributed nodes by only allowing deterministic operations of smart contracts. However, the power of smart contracts is enabled by interacting with stochastic off-chain data, which in turn opens the possibility...
[ { "created": "Thu, 17 Nov 2022 04:37:24 GMT", "version": "v1" }, { "created": "Sat, 25 Feb 2023 16:20:35 GMT", "version": "v2" }, { "created": "Tue, 7 Mar 2023 17:20:45 GMT", "version": "v3" } ]
2023-03-08
[ [ "Park", "Sangdon", "" ], [ "Bastani", "Osbert", "" ], [ "Kim", "Taesoo", "" ] ]
Blockchains with smart contracts are distributed ledger systems that achieve block-state consistency among distributed nodes by only allowing deterministic operations of smart contracts. However, the power of smart contracts is enabled by interacting with stochastic off-chain data, which in turn opens the possibility t...
2204.10669
Ebaa Alnazer
Ebaa Alnazer, Ilche Georgievski, Marco Aiello
Risk Awareness in HTN Planning
62 pages, 9 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Actual real-world domains are characterised by uncertain situations in which acting and use of resources require embracing risk. Performing actions in such domains always entails costs of consuming some resource, such as time, money, or energy, where the knowledge about these costs can range from totally known to tot...
[ { "created": "Fri, 22 Apr 2022 12:33:27 GMT", "version": "v1" } ]
2022-04-25
[ [ "Alnazer", "Ebaa", "" ], [ "Georgievski", "Ilche", "" ], [ "Aiello", "Marco", "" ] ]
Actual real-world domains are characterised by uncertain situations in which acting and use of resources require embracing risk. Performing actions in such domains always entails costs of consuming some resource, such as time, money, or energy, where the knowledge about these costs can range from totally known to total...
1709.09708
Stefano Ferretti
Stefano Ferretti
On the Complex Network Structure of Musical Pieces: Analysis of Some Use Cases from Different Music Genres
accepted to Multimedia Tools and Applications, Springer
null
10.1007/s11042-017-5175-y
null
cs.SD cs.MM eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper focuses on the modeling of musical melodies as networks. Notes of a melody can be treated as nodes of a network. Connections are created whenever notes are played in sequence. We analyze some main tracks coming from different music genres, with melodies played using different musical instruments. We find o...
[ { "created": "Wed, 13 Sep 2017 15:04:30 GMT", "version": "v1" } ]
2017-09-29
[ [ "Ferretti", "Stefano", "" ] ]
This paper focuses on the modeling of musical melodies as networks. Notes of a melody can be treated as nodes of a network. Connections are created whenever notes are played in sequence. We analyze some main tracks coming from different music genres, with melodies played using different musical instruments. We find out...
2207.00159
Luliang Jia
Luliang Jia, Nan Qi, Feihuang Chu, Shengliang Fang, Ximing Wang, Shuli Ma, and Shuo Feng
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks
Published in IEEE Communcations Magazine
null
null
null
cs.NI cs.GT
http://creativecommons.org/licenses/by-sa/4.0/
In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent anti-jamming communication, we present the characteristics of jammers and the requirements of an intelligent anti-jamming approach. Such approach is required of se...
[ { "created": "Mon, 20 Jun 2022 14:35:31 GMT", "version": "v1" } ]
2022-07-04
[ [ "Jia", "Luliang", "" ], [ "Qi", "Nan", "" ], [ "Chu", "Feihuang", "" ], [ "Fang", "Shengliang", "" ], [ "Wang", "Ximing", "" ], [ "Ma", "Shuli", "" ], [ "Feng", "Shuo", "" ] ]
In this article, the anti-jamming communication problem is investigated from a game-theoretic learning perspective. By exploring and analyzing intelligent anti-jamming communication, we present the characteristics of jammers and the requirements of an intelligent anti-jamming approach. Such approach is required of self...
2403.13745
Fu-Yun Wang
Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
Code will be available at https://github.com/G-U-N/Be-Your-Outpainter
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video outpainting is a challenging task, aiming at generating video content outside the viewport of the input video while maintaining inter-frame and intra-frame consistency. Existing methods fall short in either generation quality or flexibility. We introduce MOTIA Mastering Video Outpainting Through Input-Specific ...
[ { "created": "Wed, 20 Mar 2024 16:53:45 GMT", "version": "v1" } ]
2024-03-21
[ [ "Wang", "Fu-Yun", "" ], [ "Wu", "Xiaoshi", "" ], [ "Huang", "Zhaoyang", "" ], [ "Shi", "Xiaoyu", "" ], [ "Shen", "Dazhong", "" ], [ "Song", "Guanglu", "" ], [ "Liu", "Yu", "" ], [ "Li", "Hongshe...
Video outpainting is a challenging task, aiming at generating video content outside the viewport of the input video while maintaining inter-frame and intra-frame consistency. Existing methods fall short in either generation quality or flexibility. We introduce MOTIA Mastering Video Outpainting Through Input-Specific Ad...
2403.18183
Hsiu-Wei Yang
Hsiu-Wei Yang, Abhinav Agrawal, Pavlos Fragkogiannis, Shubham Nitin Mulay
Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
null
null
null
null
cs.AI cs.IR
http://creativecommons.org/licenses/by/4.0/
A well-designed document communicates not only through its words but also through its visual eloquence. Authors utilize aesthetic elements such as colors, fonts, graphics, and layouts to shape the perception of information. Thoughtful document design, informed by psychological insights, enhances both the visual appea...
[ { "created": "Wed, 27 Mar 2024 01:21:48 GMT", "version": "v1" } ]
2024-03-28
[ [ "Yang", "Hsiu-Wei", "" ], [ "Agrawal", "Abhinav", "" ], [ "Fragkogiannis", "Pavlos", "" ], [ "Mulay", "Shubham Nitin", "" ] ]
A well-designed document communicates not only through its words but also through its visual eloquence. Authors utilize aesthetic elements such as colors, fonts, graphics, and layouts to shape the perception of information. Thoughtful document design, informed by psychological insights, enhances both the visual appeal ...
2311.03932
Evangelia Tsoukanara
Evangelia Tsoukanara and Georgia Koloniari and Evaggelia Pitoura
TempoGRAPHer: Aggregation Based Temporal Graph Exploration
null
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
Graphs offer a generic abstraction for modeling entities, and the interactions and relationships between them. Most real world graphs, such as social and cooperation networks evolve over time, and exploring their evolution may reveal important information. In this paper, we present TempoGRAPHer, a system for visualiz...
[ { "created": "Tue, 7 Nov 2023 12:14:34 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2023 13:50:33 GMT", "version": "v2" } ]
2023-11-09
[ [ "Tsoukanara", "Evangelia", "" ], [ "Koloniari", "Georgia", "" ], [ "Pitoura", "Evaggelia", "" ] ]
Graphs offer a generic abstraction for modeling entities, and the interactions and relationships between them. Most real world graphs, such as social and cooperation networks evolve over time, and exploring their evolution may reveal important information. In this paper, we present TempoGRAPHer, a system for visualizin...
2203.10166
Johannes Schneider
Johannes Schneider and Giovanni Apruzzese
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Accepted at IEEE Symposium on Security and Privacy (S&P) Workshop on Deep Learning and Security, 2022
null
null
null
cs.LG cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose to generate adversarial samples by modifying activations of upper layers encoding semantically meaningful concepts. The original sample is shifted towards a target sample, yielding an adversarial sample, by using the modified activations to reconstruct the original sample. A human might (and possibly shoul...
[ { "created": "Fri, 18 Mar 2022 21:30:11 GMT", "version": "v1" } ]
2022-03-22
[ [ "Schneider", "Johannes", "" ], [ "Apruzzese", "Giovanni", "" ] ]
We propose to generate adversarial samples by modifying activations of upper layers encoding semantically meaningful concepts. The original sample is shifted towards a target sample, yielding an adversarial sample, by using the modified activations to reconstruct the original sample. A human might (and possibly should)...
1811.09956
Gurunath Reddy M
Gurunath Reddy M, Tanumay Mandal, Krothapalli Sreenivasa Rao
Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216
null
null
ML4H/2018/39
cs.SD cs.LG eess.AS stat.ML
http://creativecommons.org/licenses/by/4.0/
In this paper, we propose a classification based glottal closure instants (GCI) detection from pathological acoustic speech signal, which finds many applications in vocal disorder analysis. Till date, GCI for pathological disorder is extracted from laryngeal (glottal source) signal recorded from Electroglottograph, a...
[ { "created": "Sun, 25 Nov 2018 06:18:24 GMT", "version": "v1" } ]
2018-11-28
[ [ "M", "Gurunath Reddy", "" ], [ "Mandal", "Tanumay", "" ], [ "Rao", "Krothapalli Sreenivasa", "" ] ]
In this paper, we propose a classification based glottal closure instants (GCI) detection from pathological acoustic speech signal, which finds many applications in vocal disorder analysis. Till date, GCI for pathological disorder is extracted from laryngeal (glottal source) signal recorded from Electroglottograph, a d...
2305.15709
Risheng Liu
Xianghao Jiao, Yaohua Liu, Jiaxin Gao, Xinyuan Chu, Risheng Liu, Xin Fan
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In light of the significant progress made in the development and application of semantic segmentation tasks, there has been increasing attention towards improving the robustness of segmentation models against natural degradation factors (e.g., rain streaks) or artificially attack factors (e.g., adversarial attack). W...
[ { "created": "Thu, 25 May 2023 04:44:17 GMT", "version": "v1" } ]
2023-05-26
[ [ "Jiao", "Xianghao", "" ], [ "Liu", "Yaohua", "" ], [ "Gao", "Jiaxin", "" ], [ "Chu", "Xinyuan", "" ], [ "Liu", "Risheng", "" ], [ "Fan", "Xin", "" ] ]
In light of the significant progress made in the development and application of semantic segmentation tasks, there has been increasing attention towards improving the robustness of segmentation models against natural degradation factors (e.g., rain streaks) or artificially attack factors (e.g., adversarial attack). Whe...
2110.11070
Arpan Biswas
Arpan Biswas, Claudio Fuentes, Christopher Hoyle
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems
35 pages, 8 figures in main text and 2 figures in supplementary
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization framework where we build a regression model selection procedure from an ensemble of models, towards better estimation of the uncertain parameters of the weighted-Tchebycheff expensive black-box multi-objective function. In existing work, a...
[ { "created": "Sat, 16 Oct 2021 00:44:06 GMT", "version": "v1" } ]
2021-10-22
[ [ "Biswas", "Arpan", "" ], [ "Fuentes", "Claudio", "" ], [ "Hoyle", "Christopher", "" ] ]
We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization framework where we build a regression model selection procedure from an ensemble of models, towards better estimation of the uncertain parameters of the weighted-Tchebycheff expensive black-box multi-objective function. In existing work, a w...
1906.05881
Nancy Day
Ali Abbassi and Nancy A. Day and Derek Rayside
Astra Version 1.0: Evaluating Translations from Alloy to SMT-LIB
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a variety of translation options for converting Alloy to SMT-LIB via Alloy's Kodkod interface. Our translations, which are implemented in a library that we call Astra, are based on converting the set and relational operations of Alloy into their equivalent in typed first-order logic (TFOL). We investigate ...
[ { "created": "Thu, 13 Jun 2019 18:16:57 GMT", "version": "v1" } ]
2019-06-17
[ [ "Abbassi", "Ali", "" ], [ "Day", "Nancy A.", "" ], [ "Rayside", "Derek", "" ] ]
We present a variety of translation options for converting Alloy to SMT-LIB via Alloy's Kodkod interface. Our translations, which are implemented in a library that we call Astra, are based on converting the set and relational operations of Alloy into their equivalent in typed first-order logic (TFOL). We investigate an...
2109.02860
Ruwen Bai
Ruwen Bai, Min Li, Bo Meng, Fengfa Li, Miao Jiang, Junxing Ren, Degang Sun
Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition
7 pages, 3 figures
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph convolutional networks (GCNs) have emerged as dominant methods for skeleton-based action recognition. However, they still suffer from two problems, namely, neighborhood constraints and entangled spatiotemporal feature representations. Most studies have focused on improving the design of graph topology to so...
[ { "created": "Tue, 7 Sep 2021 04:32:10 GMT", "version": "v1" }, { "created": "Wed, 8 Sep 2021 04:03:35 GMT", "version": "v2" }, { "created": "Fri, 10 Sep 2021 02:23:11 GMT", "version": "v3" }, { "created": "Mon, 10 Jan 2022 11:02:07 GMT", "version": "v4" } ]
2022-01-11
[ [ "Bai", "Ruwen", "" ], [ "Li", "Min", "" ], [ "Meng", "Bo", "" ], [ "Li", "Fengfa", "" ], [ "Jiang", "Miao", "" ], [ "Ren", "Junxing", "" ], [ "Sun", "Degang", "" ] ]
Graph convolutional networks (GCNs) have emerged as dominant methods for skeleton-based action recognition. However, they still suffer from two problems, namely, neighborhood constraints and entangled spatiotemporal feature representations. Most studies have focused on improving the design of graph topology to solve th...
2006.06143
James D. Finch
James D. Finch and Jinho D. Choi
Emora STDM: A Versatile Framework for Innovative Dialogue System Development
Accepted by SIGDIAL 2020: System Demonstrations
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions. Our framework caters to a wide range of expertise levels by...
[ { "created": "Thu, 11 Jun 2020 01:31:17 GMT", "version": "v1" } ]
2020-06-12
[ [ "Finch", "James D.", "" ], [ "Choi", "Jinho D.", "" ] ]
This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions. Our framework caters to a wide range of expertise levels by s...
1902.10648
Georg B\"ocherer
Georg B\"ocherer and Diego Lentner and Alessandro Cirino and Fabian Steiner
Probabilistic Parity Shaping for Linear Codes
Draft based on talk given at 2019 Oberpfaffenhofen Workshop on High Throughput Coding (OWHTC)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linear layered probabilistic shaping (LLPS) is proposed, an architecture for linear codes to efficiently encode to shaped code words. In the previously proposed probabilistic amplitude shaping (PAS) architecture, a distribution matcher (DM) maps information bits to shaped bits, which are then systematically encoded b...
[ { "created": "Wed, 27 Feb 2019 17:30:27 GMT", "version": "v1" } ]
2019-02-28
[ [ "Böcherer", "Georg", "" ], [ "Lentner", "Diego", "" ], [ "Cirino", "Alessandro", "" ], [ "Steiner", "Fabian", "" ] ]
Linear layered probabilistic shaping (LLPS) is proposed, an architecture for linear codes to efficiently encode to shaped code words. In the previously proposed probabilistic amplitude shaping (PAS) architecture, a distribution matcher (DM) maps information bits to shaped bits, which are then systematically encoded by ...
1504.04690
Eyal Skop
Shay Mozes, Eyal E. Skop
Efficient Vertex-Label Distance Oracles for Planar Graphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider distance queries in vertex-labeled planar graphs. For any fixed $0 < \epsilon \leq 1/2$ we show how to preprocess a directed planar graph with vertex labels and arc lengths into a data structure that answers queries of the following form. Given a vertex $u$ and a label $\lambda$ return a $(1+\epsilon)$-ap...
[ { "created": "Sat, 18 Apr 2015 07:24:00 GMT", "version": "v1" }, { "created": "Sat, 16 Dec 2017 07:29:35 GMT", "version": "v2" } ]
2017-12-19
[ [ "Mozes", "Shay", "" ], [ "Skop", "Eyal E.", "" ] ]
We consider distance queries in vertex-labeled planar graphs. For any fixed $0 < \epsilon \leq 1/2$ we show how to preprocess a directed planar graph with vertex labels and arc lengths into a data structure that answers queries of the following form. Given a vertex $u$ and a label $\lambda$ return a $(1+\epsilon)$-appr...
1304.2352
Alan M. Frisch
Alan M. Frisch, Peter Haddawy
Probability as a Modal Operator
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)
null
null
UAI-P-1988-PG-109-118
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper argues for a modal view of probability. The syntax and semantics of one particularly strong probability logic are discussed and some examples of the use of the logic are provided. We show that it is both natural and useful to think of probability as a modal operator. Contrary to popular belief in AI, a pro...
[ { "created": "Wed, 27 Mar 2013 19:42:49 GMT", "version": "v1" } ]
2013-04-10
[ [ "Frisch", "Alan M.", "" ], [ "Haddawy", "Peter", "" ] ]
This paper argues for a modal view of probability. The syntax and semantics of one particularly strong probability logic are discussed and some examples of the use of the logic are provided. We show that it is both natural and useful to think of probability as a modal operator. Contrary to popular belief in AI, a proba...
2301.06132
Jinhui Hou
Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, and Deyu Meng
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
17 pages, 12 figures. Accepted in TPAMI 2024. arXiv admin note: substantial text overlap with arXiv:2207.04266
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature diversity. Specifically, based on the theoretical formulation that feature diversity is correlated with the rank of the unfolded kernel matrix, ...
[ { "created": "Sun, 15 Jan 2023 16:19:18 GMT", "version": "v1" }, { "created": "Fri, 15 Dec 2023 14:26:39 GMT", "version": "v2" }, { "created": "Thu, 9 May 2024 15:33:35 GMT", "version": "v3" } ]
2024-05-10
[ [ "Hou", "Jinhui", "" ], [ "Zhu", "Zhiyu", "" ], [ "Hou", "Junhui", "" ], [ "Liu", "Hui", "" ], [ "Zeng", "Huanqiang", "" ], [ "Meng", "Deyu", "" ] ]
In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature diversity. Specifically, based on the theoretical formulation that feature diversity is correlated with the rank of the unfolded kernel matrix, we...
2202.09938
Madhu Kiran
Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E Cruz, Louis-Antoine Blais-Morin and Eric Granger
Generative Target Update for Adaptive Siamese Tracking
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Siamese trackers perform similarity matching with templates (i.e., target models) to recursively localize objects within a search region. Several strategies have been proposed in the literature to update a template based on the tracker output, typically extracted from the target search region in the current frame, an...
[ { "created": "Mon, 21 Feb 2022 00:22:49 GMT", "version": "v1" } ]
2022-02-22
[ [ "Kiran", "Madhu", "" ], [ "Nguyen-Meidine", "Le Thanh", "" ], [ "Sahay", "Rajat", "" ], [ "Cruz", "Rafael Menelau Oliveira E", "" ], [ "Blais-Morin", "Louis-Antoine", "" ], [ "Granger", "Eric", "" ] ]
Siamese trackers perform similarity matching with templates (i.e., target models) to recursively localize objects within a search region. Several strategies have been proposed in the literature to update a template based on the tracker output, typically extracted from the target search region in the current frame, and ...
2208.14225
Tawfiq Aljohani
Tawfiq M. Aljohani
Cyberattacks on Energy Infrastructures: Modern War Weapons
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Recent high-profile cyberattacks on energy infrastructures, such as the security breach of the Colonial Pipeline in 2021 and attacks that have disrupted Ukraine's power grid from the mid-2010s till date, have pushed cybersecurity as a top priority. As political tensions have escalated in Europe this year, concerns ab...
[ { "created": "Sun, 28 Aug 2022 05:19:48 GMT", "version": "v1" } ]
2022-08-31
[ [ "Aljohani", "Tawfiq M.", "" ] ]
Recent high-profile cyberattacks on energy infrastructures, such as the security breach of the Colonial Pipeline in 2021 and attacks that have disrupted Ukraine's power grid from the mid-2010s till date, have pushed cybersecurity as a top priority. As political tensions have escalated in Europe this year, concerns abou...
1812.02518
Shuman Jia
Shuman Jia, Antoine Despinasse, Zihao Wang, Herv\'e Delingette, Xavier Pennec, Pierre Ja\"is, Hubert Cochet, and Maxime Sermesant
Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can provide information to predict treatment outcome in atrial fibrillation. Nevertheless, the segmentation of the left atrial structures fro...
[ { "created": "Thu, 6 Dec 2018 13:34:24 GMT", "version": "v1" } ]
2018-12-07
[ [ "Jia", "Shuman", "" ], [ "Despinasse", "Antoine", "" ], [ "Wang", "Zihao", "" ], [ "Delingette", "Hervé", "" ], [ "Pennec", "Xavier", "" ], [ "Jaïs", "Pierre", "" ], [ "Cochet", "Hubert", "" ], [ "S...
Radiological imaging offers effective measurement of anatomy, which is useful in disease diagnosis and assessment. Previous study has shown that the left atrial wall remodeling can provide information to predict treatment outcome in atrial fibrillation. Nevertheless, the segmentation of the left atrial structures from ...
2012.01964
Vaishali Kansal
Vaishali Kansal and Mayank Dave
Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Distributed Denial of Service (DDoS) attacks are serious cyber attacks and mitigating DDoS attacks in cloud is a topic of ongoing research interest which remains a major security challenge. Fog computing is an extension of cloud computing which has been used to secure cloud. Moving Target Defense (MTD) is a newly rec...
[ { "created": "Thu, 3 Dec 2020 14:37:12 GMT", "version": "v1" } ]
2020-12-04
[ [ "Kansal", "Vaishali", "" ], [ "Dave", "Mayank", "" ] ]
Distributed Denial of Service (DDoS) attacks are serious cyber attacks and mitigating DDoS attacks in cloud is a topic of ongoing research interest which remains a major security challenge. Fog computing is an extension of cloud computing which has been used to secure cloud. Moving Target Defense (MTD) is a newly recog...
1705.05627
Ryan Henderson
Ryan Henderson and Rasmus Rothe
Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers
9 pages, submission to the Journal of Open Research Software, github.com/merantix/picasso
Journal of Open Research Software. 5(1), p.22 (2017)
10.5334/jors.178
null
cs.CV cs.SE
http://creativecommons.org/licenses/by/4.0/
Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for analyzing convolutional neural networks. Picasso ships with occlusion maps and saliency maps, two visualizations which help reveal issues that evaluation metrics like loss and accu...
[ { "created": "Tue, 16 May 2017 10:06:19 GMT", "version": "v1" }, { "created": "Thu, 20 Jul 2017 16:22:49 GMT", "version": "v2" }, { "created": "Mon, 11 Sep 2017 12:35:18 GMT", "version": "v3" } ]
2017-09-12
[ [ "Henderson", "Ryan", "" ], [ "Rothe", "Rasmus", "" ] ]
Picasso is a free open-source (Eclipse Public License) web application written in Python for rendering standard visualizations useful for analyzing convolutional neural networks. Picasso ships with occlusion maps and saliency maps, two visualizations which help reveal issues that evaluation metrics like loss and accura...
2012.04522
Yingkai Li
Jiarui Gan, Bo Li, Yingkai Li
Your College Dorm and Dormmates: Fair Resource Sharing with Externalities
accepted in JAIR 2023
Journal.of.Artificial.Intelligence.Research.77(2023)793-820
10.1613/jair.1.14863
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a fair resource sharing problem, where a set of resources are to be shared among a group of agents. Each agent demands one resource and each resource can serve a limited number of agents. An agent cares about what resource they get as well as the externalities imposed by their mates, who share the same resou...
[ { "created": "Tue, 8 Dec 2020 16:11:17 GMT", "version": "v1" }, { "created": "Thu, 13 Jul 2023 15:59:59 GMT", "version": "v2" } ]
2023-07-14
[ [ "Gan", "Jiarui", "" ], [ "Li", "Bo", "" ], [ "Li", "Yingkai", "" ] ]
We study a fair resource sharing problem, where a set of resources are to be shared among a group of agents. Each agent demands one resource and each resource can serve a limited number of agents. An agent cares about what resource they get as well as the externalities imposed by their mates, who share the same resourc...
2405.11338
Danli Shi
Danli Shi, Weiyi Zhang, Xiaolan Chen, Yexin Liu, Jiancheng Yang, Siyu Huang, Yih Chung Tham, Yingfeng Zheng, Mingguang He
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging
21 pages, 2 figures, 4 tables
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA). However, existing AI models in this domain often require extensive annotation and are task-specific, limiting their clinical utility. While recent developments have brought about...
[ { "created": "Sat, 18 May 2024 17:03:39 GMT", "version": "v1" }, { "created": "Wed, 22 May 2024 02:21:07 GMT", "version": "v2" } ]
2024-05-24
[ [ "Shi", "Danli", "" ], [ "Zhang", "Weiyi", "" ], [ "Chen", "Xiaolan", "" ], [ "Liu", "Yexin", "" ], [ "Yang", "Jiancheng", "" ], [ "Huang", "Siyu", "" ], [ "Tham", "Yih Chung", "" ], [ "Zheng", "...
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA). However, existing AI models in this domain often require extensive annotation and are task-specific, limiting their clinical utility. While recent developments have brought about f...
2310.01684
Asiful Arefeen
Asiful Arefeen and Hassan Ghasemzadeh
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
null
null
null
null
cs.AI cs.HC cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Maintaining normal blood glucose levels through lifestyle behaviors is central to maintaining health and preventing disease. Frequent exposure to dysglycemia (i.e., abnormal glucose events such as hyperlycemia and hypoglycemia) leads to chronic complications including diabetes, kidney disease and need for dialysis, m...
[ { "created": "Mon, 2 Oct 2023 22:42:52 GMT", "version": "v1" } ]
2023-10-04
[ [ "Arefeen", "Asiful", "" ], [ "Ghasemzadeh", "Hassan", "" ] ]
Maintaining normal blood glucose levels through lifestyle behaviors is central to maintaining health and preventing disease. Frequent exposure to dysglycemia (i.e., abnormal glucose events such as hyperlycemia and hypoglycemia) leads to chronic complications including diabetes, kidney disease and need for dialysis, myo...
2011.04044
Yufei Feng
Yufei Feng, Zi'ou Zheng, Quan Liu, Michael Greenspan, Xiaodan Zhu
Exploring End-to-End Differentiable Natural Logic Modeling
10 pages
COLING 2020
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore end-to-end trained differentiable models that integrate natural logic with neural networks, aiming to keep the backbone of natural language reasoning based on the natural logic formalism while introducing subsymbolic vector representations and neural components. The proposed model adapts module networks to...
[ { "created": "Sun, 8 Nov 2020 18:18:15 GMT", "version": "v1" } ]
2020-11-11
[ [ "Feng", "Yufei", "" ], [ "Zheng", "Zi'ou", "" ], [ "Liu", "Quan", "" ], [ "Greenspan", "Michael", "" ], [ "Zhu", "Xiaodan", "" ] ]
We explore end-to-end trained differentiable models that integrate natural logic with neural networks, aiming to keep the backbone of natural language reasoning based on the natural logic formalism while introducing subsymbolic vector representations and neural components. The proposed model adapts module networks to m...
2301.12344
Xuchen Liu
Xuchen Liu (1 and 2), Minghao Dou (1 and 2), Dongyue Huang (1 and 2), Biao Wang (3 and 4), Jinqiang Cui (4), Qinyuan Ren (5 and 4), Lihua Dou (6), Zhi Gao (7), Jie Chen (1) and Ben M. Chen (2) ((1) Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China, (2) Department...
TJ-FlyingFish: Design and Implementation of an Aerial-Aquatic Quadrotor with Tiltable Propulsion Units
6 pages, 9 figures, accepted to 2023 IEEE International Conference on Robotics and Automation (ICRA)
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aerial-aquatic vehicles are capable to move in the two most dominant fluids, making them more promising for a wide range of applications. We propose a prototype with special designs for propulsion and thruster configuration to cope with the vast differences in the fluid properties of water and air. For propulsion, th...
[ { "created": "Sun, 29 Jan 2023 03:54:05 GMT", "version": "v1" }, { "created": "Tue, 7 Feb 2023 02:49:27 GMT", "version": "v2" } ]
2023-02-08
[ [ "Liu", "Xuchen", "", "1 and 2" ], [ "Dou", "Minghao", "", "1 and 2" ], [ "Huang", "Dongyue", "", "1 and 2" ], [ "Wang", "Biao", "", "3 and 4" ], [ "Cui", "Jinqiang", "", "5 and 4" ], [ "Ren", "Qinyuan", ...
Aerial-aquatic vehicles are capable to move in the two most dominant fluids, making them more promising for a wide range of applications. We propose a prototype with special designs for propulsion and thruster configuration to cope with the vast differences in the fluid properties of water and air. For propulsion, the ...
1502.06260
Xin Yuan
Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David Brady, Lawrence Carin
Compressive Hyperspectral Imaging with Side Information
20 pages, 21 figures. To appear in the IEEE Journal of Selected Topics Signal Processing
null
10.1109/JSTSP.2015.2411575
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from spectrally-compressed measurements.The wavelength-dependent data are coded and then superposed, mapping the three-dimensional hyperspectral datacube to a two-dimensional image. The inversion algorithm learns a dictionary {\em i...
[ { "created": "Sun, 22 Feb 2015 19:10:31 GMT", "version": "v1" } ]
2015-10-28
[ [ "Yuan", "Xin", "" ], [ "Tsai", "Tsung-Han", "" ], [ "Zhu", "Ruoyu", "" ], [ "Llull", "Patrick", "" ], [ "Brady", "David", "" ], [ "Carin", "Lawrence", "" ] ]
A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from spectrally-compressed measurements.The wavelength-dependent data are coded and then superposed, mapping the three-dimensional hyperspectral datacube to a two-dimensional image. The inversion algorithm learns a dictionary {\em in ...
2306.07842
Guangtao Lyu
Guangtao Lyu, Anna Zhu
PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network
Accepted by ICME2022
2022 IEEE International Conference on Multimedia and Expo (ICME)
10.1109/ICME52920.2022.9859792
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Scene text removal (STR) is a challenging task due to the complex text fonts, colors, sizes, and background textures in scene images. However, most previous methods learn both text location and background inpainting implicitly within a single network, which weakens the text localization mechanism and makes a lossy ba...
[ { "created": "Tue, 13 Jun 2023 15:20:37 GMT", "version": "v1" } ]
2023-06-14
[ [ "Lyu", "Guangtao", "" ], [ "Zhu", "Anna", "" ] ]
Scene text removal (STR) is a challenging task due to the complex text fonts, colors, sizes, and background textures in scene images. However, most previous methods learn both text location and background inpainting implicitly within a single network, which weakens the text localization mechanism and makes a lossy back...
1809.03531
Guillaume Sartoretti
Guillaume Sartoretti, Justin Kerr, Yunfei Shi, Glenn Wagner, T. K. Satish Kumar, Sven Koenig, and Howie Choset
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
\c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to se...
null
10.1109/LRA.2019.2903261
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-agent path finding (MAPF) is an essential component of many large-scale, real-world robot deployments, from aerial swarms to warehouse automation. However, despite the community's continued efforts, most state-of-the-art MAPF planners still rely on centralized planning and scale poorly past a few hundred agents...
[ { "created": "Mon, 10 Sep 2018 18:18:03 GMT", "version": "v1" }, { "created": "Mon, 18 Feb 2019 18:20:28 GMT", "version": "v2" }, { "created": "Wed, 20 Feb 2019 23:56:34 GMT", "version": "v3" } ]
2021-02-02
[ [ "Sartoretti", "Guillaume", "" ], [ "Kerr", "Justin", "" ], [ "Shi", "Yunfei", "" ], [ "Wagner", "Glenn", "" ], [ "Kumar", "T. K. Satish", "" ], [ "Koenig", "Sven", "" ], [ "Choset", "Howie", "" ] ]
Multi-agent path finding (MAPF) is an essential component of many large-scale, real-world robot deployments, from aerial swarms to warehouse automation. However, despite the community's continued efforts, most state-of-the-art MAPF planners still rely on centralized planning and scale poorly past a few hundred agents. ...
cs/0308040
Sanatan Rai
Sanatan Rai
Open source software and peer review
4 pages
null
null
null
cs.SE cs.CY
null
We compare the open source model of software development to peer review in academia.
[ { "created": "Sat, 23 Aug 2003 21:11:41 GMT", "version": "v1" }, { "created": "Sun, 7 Sep 2003 18:20:11 GMT", "version": "v2" } ]
2007-05-23
[ [ "Rai", "Sanatan", "" ] ]
We compare the open source model of software development to peer review in academia.
2109.13803
Hongwei Zhu
Hongwei Zhu, Minjia Shi, Xiaoqiang Wang, Tor Helleseth
The $q$-ary antiprimitive BCH codes
This manuscript was first submitted to IEEE Tran. Inf. Theory in 06, April, 2021
null
null
null
cs.IT math.IT math.NT
http://creativecommons.org/licenses/by/4.0/
It is well-known that cyclic codes have efficient encoding and decoding algorithms. In recent years, antiprimitive BCH codes have attracted a lot of attention. The objective of this paper is to study BCH codes of this type over finite fields and analyse their parameters. Some lower bounds on the minimum distance of a...
[ { "created": "Tue, 28 Sep 2021 15:33:10 GMT", "version": "v1" } ]
2021-09-29
[ [ "Zhu", "Hongwei", "" ], [ "Shi", "Minjia", "" ], [ "Wang", "Xiaoqiang", "" ], [ "Helleseth", "Tor", "" ] ]
It is well-known that cyclic codes have efficient encoding and decoding algorithms. In recent years, antiprimitive BCH codes have attracted a lot of attention. The objective of this paper is to study BCH codes of this type over finite fields and analyse their parameters. Some lower bounds on the minimum distance of ant...
1801.03578
Afshin Zafari
Afshin Zafari, Elisabeth Larsson, Martin Tillenius
DuctTeip: An efficient programming model for distributed task based parallel computing
null
null
null
null
cs.DC cs.CE cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current high-performance computer systems used for scientific computing typically combine shared memory computational nodes in a distributed memory environment. Extracting high performance from these complex systems requires tailored approaches. Task based parallel programming has been successful both in simplifying ...
[ { "created": "Wed, 10 Jan 2018 22:50:01 GMT", "version": "v1" } ]
2018-01-14
[ [ "Zafari", "Afshin", "" ], [ "Larsson", "Elisabeth", "" ], [ "Tillenius", "Martin", "" ] ]
Current high-performance computer systems used for scientific computing typically combine shared memory computational nodes in a distributed memory environment. Extracting high performance from these complex systems requires tailored approaches. Task based parallel programming has been successful both in simplifying th...
1701.02560
Bettagere Bharath
B. N. Bharath and P. Vaishali
Time Complexity Analysis of a Distributed Stochastic Optimization in a Non-Stationary Environment
16 pages + 5 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a distributed stochastic optimization problem where the goal is to minimize the time average of a cost function subject to a set of constraints on the time averages of related stochastic processes called penalties. We assume that the state of the system is evolving in an independent and non...
[ { "created": "Tue, 10 Jan 2017 12:48:33 GMT", "version": "v1" } ]
2017-01-11
[ [ "Bharath", "B. N.", "" ], [ "Vaishali", "P.", "" ] ]
In this paper, we consider a distributed stochastic optimization problem where the goal is to minimize the time average of a cost function subject to a set of constraints on the time averages of related stochastic processes called penalties. We assume that the state of the system is evolving in an independent and non-s...
2006.05028
Slobodan Mitrovi\'c
Piotr Indyk, Frederik Mallmann-Trenn, Slobodan Mitrovi\'c, Ronitt Rubinfeld
Online Page Migration with ML Advice
null
null
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider online algorithms for the {\em page migration problem} that use predictions, potentially imperfect, to improve their performance. The best known online algorithms for this problem, due to Westbrook'94 and Bienkowski et al'17, have competitive ratios strictly bounded away from 1. In contrast, we show that ...
[ { "created": "Tue, 9 Jun 2020 03:15:34 GMT", "version": "v1" } ]
2020-06-11
[ [ "Indyk", "Piotr", "" ], [ "Mallmann-Trenn", "Frederik", "" ], [ "Mitrović", "Slobodan", "" ], [ "Rubinfeld", "Ronitt", "" ] ]
We consider online algorithms for the {\em page migration problem} that use predictions, potentially imperfect, to improve their performance. The best known online algorithms for this problem, due to Westbrook'94 and Bienkowski et al'17, have competitive ratios strictly bounded away from 1. In contrast, we show that if...
2407.15078
Logan Weber
Logan Weber, Jesse Michel, Alex Renda, Michael Carbin
Learning to Compile Programs to Neural Networks
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
A $\textit{neural surrogate of a program}$ is a neural network that mimics the behavior of a program. Researchers have used these neural surrogates to automatically tune program inputs, adapt programs to new settings, and accelerate computations. Researchers traditionally develop neural surrogates by training on inpu...
[ { "created": "Sun, 21 Jul 2024 07:04:52 GMT", "version": "v1" } ]
2024-07-23
[ [ "Weber", "Logan", "" ], [ "Michel", "Jesse", "" ], [ "Renda", "Alex", "" ], [ "Carbin", "Michael", "" ] ]
A $\textit{neural surrogate of a program}$ is a neural network that mimics the behavior of a program. Researchers have used these neural surrogates to automatically tune program inputs, adapt programs to new settings, and accelerate computations. Researchers traditionally develop neural surrogates by training on input-...
2310.07078
Ashiqur Rahman KhudaBukhsh
Clay H. Yoo and Ashiqur R. KhudaBukhsh
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling
This paper has been accepted at AAAI 2023 (Robust and Safe AI track)
null
null
null
cs.LG cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper makes two key contributions. First, it argues that highly specialized rare content classifiers trained on small data typically have limited exposure to the richness and topical diversity of the negative class (dubbed anticontent) as observed in the wild. As a result, these classifiers' strong performance o...
[ { "created": "Sat, 5 Aug 2023 22:38:05 GMT", "version": "v1" } ]
2023-10-12
[ [ "Yoo", "Clay H.", "" ], [ "KhudaBukhsh", "Ashiqur R.", "" ] ]
This paper makes two key contributions. First, it argues that highly specialized rare content classifiers trained on small data typically have limited exposure to the richness and topical diversity of the negative class (dubbed anticontent) as observed in the wild. As a result, these classifiers' strong performance obs...
1307.5299
Paul D\"utting
Paul Duetting and Robert Kleinberg
Polymatroid Prophet Inequalities
null
null
null
null
cs.DS cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider a gambler and a prophet who observe a sequence of independent, non-negative numbers. The gambler sees the numbers one-by-one whereas the prophet sees the entire sequence at once. The goal of both is to decide on fractions of each number they want to keep so as to maximize the weighted fractional sum of the n...
[ { "created": "Fri, 19 Jul 2013 18:11:44 GMT", "version": "v1" } ]
2013-07-22
[ [ "Duetting", "Paul", "" ], [ "Kleinberg", "Robert", "" ] ]
Consider a gambler and a prophet who observe a sequence of independent, non-negative numbers. The gambler sees the numbers one-by-one whereas the prophet sees the entire sequence at once. The goal of both is to decide on fractions of each number they want to keep so as to maximize the weighted fractional sum of the num...
2309.10979
Xin Zheng
Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
Towards Data-centric Graph Machine Learning: Review and Outlook
42 pages, 9 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data-centric AI, with its primary focus on the collection, management, and utilization of data to drive AI models and applications, has attracted increasing attention in recent years. In this article, we conduct an in-depth and comprehensive review, offering a forward-looking outlook on the current efforts in data-ce...
[ { "created": "Wed, 20 Sep 2023 00:40:13 GMT", "version": "v1" } ]
2023-09-21
[ [ "Zheng", "Xin", "" ], [ "Liu", "Yixin", "" ], [ "Bao", "Zhifeng", "" ], [ "Fang", "Meng", "" ], [ "Hu", "Xia", "" ], [ "Liew", "Alan Wee-Chung", "" ], [ "Pan", "Shirui", "" ] ]
Data-centric AI, with its primary focus on the collection, management, and utilization of data to drive AI models and applications, has attracted increasing attention in recent years. In this article, we conduct an in-depth and comprehensive review, offering a forward-looking outlook on the current efforts in data-cent...
2301.08719
Aldo Badano
A Badano, M Lago, E Sizikova, JG Delfino, S Guan, MA Anastasio and B Sahiner
The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts
null
null
null
null
cs.AI physics.med-ph
http://creativecommons.org/licenses/by/4.0/
Randomized clinical trials, while often viewed as the highest evidentiary bar by which to judge the quality of a medical intervention, are far from perfect. In silico imaging trials are computational studies that seek to ascertain the performance of a medical device by collecting this information entirely via compute...
[ { "created": "Fri, 20 Jan 2023 18:31:22 GMT", "version": "v1" } ]
2023-01-23
[ [ "Badano", "A", "" ], [ "Lago", "M", "" ], [ "Sizikova", "E", "" ], [ "Delfino", "JG", "" ], [ "Guan", "S", "" ], [ "Anastasio", "MA", "" ], [ "Sahiner", "B", "" ] ]
Randomized clinical trials, while often viewed as the highest evidentiary bar by which to judge the quality of a medical intervention, are far from perfect. In silico imaging trials are computational studies that seek to ascertain the performance of a medical device by collecting this information entirely via computer ...
2403.05565
Jiaqi Ma
Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning
null
null
null
null
cs.HC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, there has been a surge of explainable AI (XAI) methods driven by the need for understanding machine learning model behaviors in high-stakes scenarios. However, properly evaluating the effectiveness of the XAI methods inevitably requires the involvement of human subjects, and conducting human-centered benchm...
[ { "created": "Tue, 20 Feb 2024 22:17:59 GMT", "version": "v1" } ]
2024-03-12
[ [ "Ma", "Jiaqi", "" ], [ "Lai", "Vivian", "" ], [ "Zhang", "Yiming", "" ], [ "Chen", "Chacha", "" ], [ "Hamilton", "Paul", "" ], [ "Ljubenkov", "Davor", "" ], [ "Lakkaraju", "Himabindu", "" ], [ "Tan"...
Recently, there has been a surge of explainable AI (XAI) methods driven by the need for understanding machine learning model behaviors in high-stakes scenarios. However, properly evaluating the effectiveness of the XAI methods inevitably requires the involvement of human subjects, and conducting human-centered benchmar...
2101.06448
Junliang Yu
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
11 pages, Accepted by WWW'21. Correct some typos in the previous version
null
null
null
cs.IR cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Social relations are often used to improve recommendation quality when user-item interaction data is sparse in recommender systems. Most existing social recommendation models exploit pairwise relations to mine potential user preferences. However, real-life interactions among users are very complicated and user relati...
[ { "created": "Sat, 16 Jan 2021 14:20:32 GMT", "version": "v1" }, { "created": "Tue, 19 Jan 2021 21:13:42 GMT", "version": "v2" }, { "created": "Thu, 21 Jan 2021 18:16:41 GMT", "version": "v3" }, { "created": "Sun, 27 Feb 2022 04:35:40 GMT", "version": "v4" } ]
2022-03-01
[ [ "Yu", "Junliang", "" ], [ "Yin", "Hongzhi", "" ], [ "Li", "Jundong", "" ], [ "Wang", "Qinyong", "" ], [ "Hung", "Nguyen Quoc Viet", "" ], [ "Zhang", "Xiangliang", "" ] ]
Social relations are often used to improve recommendation quality when user-item interaction data is sparse in recommender systems. Most existing social recommendation models exploit pairwise relations to mine potential user preferences. However, real-life interactions among users are very complicated and user relation...
2103.14101
Grace Lewis
Grace A. Lewis, Stephany Bellomo, Ipek Ozkaya
Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems
1st Workshop on AI Engineering: Software Engineering for AI (WAIN 2021) held at the 2021 IEEE/ACM 43rd International Conference on Software Engineering
null
null
null
cs.SE cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Increasing availability of machine learning (ML) frameworks and tools, as well as their promise to improve solutions to data-driven decision problems, has resulted in popularity of using ML techniques in software systems. However, end-to-end development of ML-enabled systems, as well as their seamless deployment and ...
[ { "created": "Thu, 25 Mar 2021 19:40:29 GMT", "version": "v1" } ]
2021-03-29
[ [ "Lewis", "Grace A.", "" ], [ "Bellomo", "Stephany", "" ], [ "Ozkaya", "Ipek", "" ] ]
Increasing availability of machine learning (ML) frameworks and tools, as well as their promise to improve solutions to data-driven decision problems, has resulted in popularity of using ML techniques in software systems. However, end-to-end development of ML-enabled systems, as well as their seamless deployment and op...
1604.01431
Wei-Chiu Ma
Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Accepted to CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific behavior parameters. Building predictive models for multi-pedestrian interactions however, is very challenging due t...
[ { "created": "Tue, 5 Apr 2016 21:13:32 GMT", "version": "v1" }, { "created": "Mon, 9 May 2016 18:07:23 GMT", "version": "v2" }, { "created": "Tue, 28 Mar 2017 16:31:01 GMT", "version": "v3" } ]
2017-03-29
[ [ "Ma", "Wei-Chiu", "" ], [ "Huang", "De-An", "" ], [ "Lee", "Namhoon", "" ], [ "Kitani", "Kris M.", "" ] ]
We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific behavior parameters. Building predictive models for multi-pedestrian interactions however, is very challenging due to ...
2405.09854
Aditya Joshi
Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
Selected for publication at Teaching NLP workshop at ACL 2024; 9 pages + references
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
While deep learning approaches represent the state-of-the-art of natural language processing (NLP) today, classical algorithms and approaches still find a place in NLP textbooks and courses of recent years. This paper discusses the perspectives of conveners of two introductory NLP courses taught in Australia and Indi...
[ { "created": "Thu, 16 May 2024 07:14:13 GMT", "version": "v1" }, { "created": "Tue, 9 Jul 2024 06:52:45 GMT", "version": "v2" } ]
2024-07-10
[ [ "Joshi", "Aditya", "" ], [ "Renzella", "Jake", "" ], [ "Bhattacharyya", "Pushpak", "" ], [ "Jha", "Saurav", "" ], [ "Zhang", "Xiangyu", "" ] ]
While deep learning approaches represent the state-of-the-art of natural language processing (NLP) today, classical algorithms and approaches still find a place in NLP textbooks and courses of recent years. This paper discusses the perspectives of conveners of two introductory NLP courses taught in Australia and India,...
2210.02601
Md Rayhanur Rahman
Md Rayhanur Rahman, Laurie Williams
From Threat Reports to Continuous Threat Intelligence: A Comparison of Attack Technique Extraction Methods from Textual Artifacts
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
The cyberthreat landscape is continuously evolving. Hence, continuous monitoring and sharing of threat intelligence have become a priority for organizations. Threat reports, published by cybersecurity vendors, contain detailed descriptions of attack Tactics, Techniques, and Procedures (TTP) written in an unstructured...
[ { "created": "Wed, 5 Oct 2022 23:21:41 GMT", "version": "v1" } ]
2022-10-07
[ [ "Rahman", "Md Rayhanur", "" ], [ "Williams", "Laurie", "" ] ]
The cyberthreat landscape is continuously evolving. Hence, continuous monitoring and sharing of threat intelligence have become a priority for organizations. Threat reports, published by cybersecurity vendors, contain detailed descriptions of attack Tactics, Techniques, and Procedures (TTP) written in an unstructured t...
1606.00717
Sateesh Awasthi Kumar
Sateesh Kumar Awasthi and Yatindra Nath Singh
Biased Contribution Index: A Simpler Mechanism to Maintain Fairness in Peer to Peer Network
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To maintain fairness, in the terms of resources shared by an individual peer, a proper incentive policy is required in a peer to peer network. This letter proposes, a simpler mechanism to rank the peers based on their resource contributions to the network. This mechanism will suppress the free riders from downloading...
[ { "created": "Thu, 2 Jun 2016 15:23:59 GMT", "version": "v1" } ]
2016-06-03
[ [ "Awasthi", "Sateesh Kumar", "" ], [ "Singh", "Yatindra Nath", "" ] ]
To maintain fairness, in the terms of resources shared by an individual peer, a proper incentive policy is required in a peer to peer network. This letter proposes, a simpler mechanism to rank the peers based on their resource contributions to the network. This mechanism will suppress the free riders from downloading t...
1902.01878
Sagar Sharma
Sagar Sharma, Keke Chen
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning
null
null
null
null
cs.LG cs.CR cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning model developers often use cloud GPU resources to experiment with large data and models that need expensive setups. However, this practice raises privacy concerns. Adversaries may be interested in: 1) personally identifiable information or objects encoded in the training images, and 2) the models traine...
[ { "created": "Tue, 5 Feb 2019 19:20:02 GMT", "version": "v1" }, { "created": "Fri, 19 Apr 2019 04:31:54 GMT", "version": "v2" } ]
2019-04-22
[ [ "Sharma", "Sagar", "" ], [ "Chen", "Keke", "" ] ]
Deep learning model developers often use cloud GPU resources to experiment with large data and models that need expensive setups. However, this practice raises privacy concerns. Adversaries may be interested in: 1) personally identifiable information or objects encoded in the training images, and 2) the models trained ...
2209.02228
Josef Pieprzyk
Josef Pieprzyk, Jarek Duda, Marcin Pawlowski, Seyit Camtepe, Arash Mahboubi and Pawel Morawiecki
Compression Optimality of Asymmetric Numeral Systems
null
null
10.3390/e25040672
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Compression also known as entropy coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming for instance) renews an interest in fast compression that also squeezes out as much redundancy as possible. In 2009 Jarek Duda invented hi...
[ { "created": "Tue, 6 Sep 2022 05:37:04 GMT", "version": "v1" } ]
2023-05-10
[ [ "Pieprzyk", "Josef", "" ], [ "Duda", "Jarek", "" ], [ "Pawlowski", "Marcin", "" ], [ "Camtepe", "Seyit", "" ], [ "Mahboubi", "Arash", "" ], [ "Morawiecki", "Pawel", "" ] ]
Compression also known as entropy coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming for instance) renews an interest in fast compression that also squeezes out as much redundancy as possible. In 2009 Jarek Duda invented his ...
2109.05238
Shaolei Zhang
Shaolei Zhang, Yang Feng
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
Accepted at EMNLP 2021 (main conference). 12 pages, 7 figures, 4 tables
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Simultaneous machine translation (SiMT) generates translation before reading the entire source sentence and hence it has to trade off between translation quality and latency. To fulfill the requirements of different translation quality and latency in practical applications, the previous methods usually need to train ...
[ { "created": "Sat, 11 Sep 2021 09:43:15 GMT", "version": "v1" }, { "created": "Tue, 14 Sep 2021 01:31:39 GMT", "version": "v2" }, { "created": "Mon, 21 Mar 2022 05:23:11 GMT", "version": "v3" } ]
2022-03-22
[ [ "Zhang", "Shaolei", "" ], [ "Feng", "Yang", "" ] ]
Simultaneous machine translation (SiMT) generates translation before reading the entire source sentence and hence it has to trade off between translation quality and latency. To fulfill the requirements of different translation quality and latency in practical applications, the previous methods usually need to train mu...
2206.06428
Hao Bai
Hao Bai
VSC-WebGPU: A Selenium-based VS Code Extension For Local Edit And Cloud Compilation on WebGPU
Published by IEEE on conference ICFTIC'21
null
10.1109/ICFTIC54370.2021.9647189
null
cs.NI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid development of information transmission, Software as a Service (SaaS) is developing at a rapid speed that everything originally local tends to be transplanted onto servers and executed on the cloud. WebGPU is such a SaaS system that it holds the GPU-equipped server to execute students' CUDA code and re...
[ { "created": "Mon, 13 Jun 2022 19:18:26 GMT", "version": "v1" } ]
2022-06-15
[ [ "Bai", "Hao", "" ] ]
With the rapid development of information transmission, Software as a Service (SaaS) is developing at a rapid speed that everything originally local tends to be transplanted onto servers and executed on the cloud. WebGPU is such a SaaS system that it holds the GPU-equipped server to execute students' CUDA code and rele...
2007.10588
Jinpyo Kim
Jinpyo Kim, Wooekun Jung, Hyungmo Kim, Jaejin Lee
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
null
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Convolutional Neural Networks (CNNs) are empirically known to be invariant to moderate translation but not to rotation in image classification. This paper proposes a deep CNN model, called CyCNN, which exploits polar mapping of input images to convert rotation to translation. To deal with the cylindrical propert...
[ { "created": "Tue, 21 Jul 2020 04:05:35 GMT", "version": "v1" } ]
2020-07-23
[ [ "Kim", "Jinpyo", "" ], [ "Jung", "Wooekun", "" ], [ "Kim", "Hyungmo", "" ], [ "Lee", "Jaejin", "" ] ]
Deep Convolutional Neural Networks (CNNs) are empirically known to be invariant to moderate translation but not to rotation in image classification. This paper proposes a deep CNN model, called CyCNN, which exploits polar mapping of input images to convert rotation to translation. To deal with the cylindrical property ...
2408.03341
Andreas Knoblauch
Andreas Knoblauch
IVISIT: An Interactive Visual Simulation Tool for system simulation, visualization, optimization, and parameter management
Minor update: Just added links to source code of Python examples of section 3
null
null
null
cs.HC cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
IVISIT is a generic interactive visual simulation tool that is based on Python/Numpy and can be used for system simulation, parameter optimization, parameter management, and visualization of system dynamics as required, for example,for developing neural network simulations, machine learning applications, or computer ...
[ { "created": "Mon, 22 Jul 2024 14:46:32 GMT", "version": "v1" }, { "created": "Sat, 10 Aug 2024 08:01:23 GMT", "version": "v2" } ]
2024-08-13
[ [ "Knoblauch", "Andreas", "" ] ]
IVISIT is a generic interactive visual simulation tool that is based on Python/Numpy and can be used for system simulation, parameter optimization, parameter management, and visualization of system dynamics as required, for example,for developing neural network simulations, machine learning applications, or computer vi...