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1903.10092
Arya D. McCarthy
Arya D. McCarthy, Tongfei Chen, Seth Ebner
An Exact No Free Lunch Theorem for Community Detection
null
Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881
10.1007/978-3-030-36687-2_15
null
cs.SI cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A precondition for a No Free Lunch theorem is evaluation with a loss function which does not assume a priori superiority of some outputs over others. A previous result for community detection by Peel et al. (2017) relies on a mismatch between the loss function and the problem domain. The loss function computes an exp...
[ { "created": "Mon, 25 Mar 2019 01:03:28 GMT", "version": "v1" } ]
2020-05-22
[ [ "McCarthy", "Arya D.", "" ], [ "Chen", "Tongfei", "" ], [ "Ebner", "Seth", "" ] ]
A precondition for a No Free Lunch theorem is evaluation with a loss function which does not assume a priori superiority of some outputs over others. A previous result for community detection by Peel et al. (2017) relies on a mismatch between the loss function and the problem domain. The loss function computes an expec...
2407.21220
Camilo Andr\'es Mart\'inez Mej\'ia
C. A. Mart\'inez-Mej\'ia, J. Solano, J. Breier, D. Bucko, X. Hou
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
null
null
null
null
cs.LG cs.CR cs.CV
http://creativecommons.org/licenses/by/4.0/
Machine Learning using neural networks has received prominent attention recently because of its success in solving a wide variety of computational tasks, in particular in the field of computer vision. However, several works have drawn attention to potential security risks involved with the training and implementation...
[ { "created": "Tue, 30 Jul 2024 22:14:47 GMT", "version": "v1" } ]
2024-08-01
[ [ "Martínez-Mejía", "C. A.", "" ], [ "Solano", "J.", "" ], [ "Breier", "J.", "" ], [ "Bucko", "D.", "" ], [ "Hou", "X.", "" ] ]
Machine Learning using neural networks has received prominent attention recently because of its success in solving a wide variety of computational tasks, in particular in the field of computer vision. However, several works have drawn attention to potential security risks involved with the training and implementation o...
2311.03608
Burkhard Schipper
Gaia Belardinelli, Burkhard C. Schipper
Implicit Knowledge in Unawareness Structures
46 pages. arXiv admin note: substantial text overlap with arXiv:2307.05041 author note: This is the full version of the arXiv:2307.05041
null
null
null
cs.LO cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Awareness structures by Fagin and Halpern (1988) (FH) feature a syntactic awareness correspondence and accessibility relations modeling implicit knowledge. They are a flexible model of unawareness, and best interpreted from a outside modeler's perspective. Unawareness structures by Heifetz, Meier, and Schipper (2006,...
[ { "created": "Mon, 6 Nov 2023 23:26:21 GMT", "version": "v1" }, { "created": "Fri, 17 May 2024 17:57:22 GMT", "version": "v2" } ]
2024-05-21
[ [ "Belardinelli", "Gaia", "" ], [ "Schipper", "Burkhard C.", "" ] ]
Awareness structures by Fagin and Halpern (1988) (FH) feature a syntactic awareness correspondence and accessibility relations modeling implicit knowledge. They are a flexible model of unawareness, and best interpreted from a outside modeler's perspective. Unawareness structures by Heifetz, Meier, and Schipper (2006, 2...
1910.06079
Tomek Korbak
Tomasz Korbak and Julian Zubek and {\L}ukasz Kuci\'nski and Piotr Mi{\l}o\'s and Joanna R\k{a}czaszek-Leonardi
Developmentally motivated emergence of compositional communication via template transfer
Accepted for NeurIPS 2019 workshop Emergent Communication: Towards Natural Language
null
null
null
cs.LG cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose a training regime implementing template transfer, the idea of carrying over learned biases across contexts. In our method, a sender-receiver pair is first trained with disentangled loss functions ...
[ { "created": "Fri, 4 Oct 2019 16:04:53 GMT", "version": "v1" } ]
2019-10-15
[ [ "Korbak", "Tomasz", "" ], [ "Zubek", "Julian", "" ], [ "Kuciński", "Łukasz", "" ], [ "Miłoś", "Piotr", "" ], [ "Rączaszek-Leonardi", "Joanna", "" ] ]
This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose a training regime implementing template transfer, the idea of carrying over learned biases across contexts. In our method, a sender-receiver pair is first trained with disentangled loss functions an...
1903.00153
J\'er\'emy Dubut
Juraj Kol\v{c}\'ak, Ichiro Hasuo, J\'er\'emy Dubut, Shin-ya Katsumata, David Sprunger and Akihisa Yamada
Relational Differential Dynamic Logic
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
In the field of quality assurance of hybrid systems (that combine continuous physical dynamics and discrete digital control), Platzer's differential dynamic logic (dL) is widely recognized as a deductive verification method with solid mathematical foundations and sophisticated tool support. Motivated by benchmarks pr...
[ { "created": "Fri, 1 Mar 2019 04:42:35 GMT", "version": "v1" }, { "created": "Thu, 12 Mar 2020 07:01:31 GMT", "version": "v2" } ]
2020-03-13
[ [ "Kolčák", "Juraj", "" ], [ "Hasuo", "Ichiro", "" ], [ "Dubut", "Jérémy", "" ], [ "Katsumata", "Shin-ya", "" ], [ "Sprunger", "David", "" ], [ "Yamada", "Akihisa", "" ] ]
In the field of quality assurance of hybrid systems (that combine continuous physical dynamics and discrete digital control), Platzer's differential dynamic logic (dL) is widely recognized as a deductive verification method with solid mathematical foundations and sophisticated tool support. Motivated by benchmarks prov...
2210.00715
Chahat Singh
Chahat Deep Singh, Riya Kumari, Cornelia Ferm\"uller, Nitin J. Sanket, Yiannis Aloimonos
WorldGen: A Large Scale Generative Simulator
null
Under review in ICRA 2023
null
null
cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
In the era of deep learning, data is the critical determining factor in the performance of neural network models. Generating large datasets suffers from various difficulties such as scalability, cost efficiency and photorealism. To avoid expensive and strenuous dataset collection and annotations, researchers have inc...
[ { "created": "Mon, 3 Oct 2022 05:07:42 GMT", "version": "v1" } ]
2022-10-04
[ [ "Singh", "Chahat Deep", "" ], [ "Kumari", "Riya", "" ], [ "Fermüller", "Cornelia", "" ], [ "Sanket", "Nitin J.", "" ], [ "Aloimonos", "Yiannis", "" ] ]
In the era of deep learning, data is the critical determining factor in the performance of neural network models. Generating large datasets suffers from various difficulties such as scalability, cost efficiency and photorealism. To avoid expensive and strenuous dataset collection and annotations, researchers have incli...
2106.15965
Michael Yuhas
Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng, Zahra Rahiminasab, Arvind Easwaran
Embedded out-of-distribution detection on an autonomous robot platform
6 pages, 8 figures
Yuhas, M., Feng, Y., Ng, D. J. X., Rahiminasab, Z., & Easwaran, A. (2021, May). Embedded out-of-distribution detection on an autonomous robot platform. In Proceedings of the Workshop on Design Automation for CPS and IoT (pp. 13-18)
10.1145/3445034.3460509
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs are not reliable when testing data are novel with regards to model training and validation data, i.e., out-of-distribution (OOD) test data. ...
[ { "created": "Wed, 30 Jun 2021 10:25:19 GMT", "version": "v1" } ]
2021-07-01
[ [ "Yuhas", "Michael", "" ], [ "Feng", "Yeli", "" ], [ "Ng", "Daniel Jun Xian", "" ], [ "Rahiminasab", "Zahra", "" ], [ "Easwaran", "Arvind", "" ] ]
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs are not reliable when testing data are novel with regards to model training and validation data, i.e., out-of-distribution (OOD) test data. We...
1908.10870
Shuo Zhang
Jason Shuo Zhang, Chenhao Tan, and Qin Lv
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums
ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2019
null
10.1145/3359295
null
cs.CY cs.HC cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intergroup contact has long been considered as an effective strategy to reduce prejudice between groups. However, recent studies suggest that exposure to opposing groups in online platforms can exacerbate polarization. To further understand the behavior of individuals who actively engage in intergroup contact in prac...
[ { "created": "Wed, 28 Aug 2019 18:00:03 GMT", "version": "v1" } ]
2019-08-30
[ [ "Zhang", "Jason Shuo", "" ], [ "Tan", "Chenhao", "" ], [ "Lv", "Qin", "" ] ]
Intergroup contact has long been considered as an effective strategy to reduce prejudice between groups. However, recent studies suggest that exposure to opposing groups in online platforms can exacerbate polarization. To further understand the behavior of individuals who actively engage in intergroup contact in practi...
2009.09351
Benjamin Plaut
Ashish Goel and Benjamin Plaut
Counteracting Inequality in Markets via Convex Pricing
Accepted to WINE 2020
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study market mechanisms for allocating divisible goods to competing agents with quasilinear utilities. For \emph{linear} pricing (i.e., the cost of a good is proportional to the quantity purchased), the First Welfare Theorem states that Walrasian equilibria maximize the sum of agent valuations. This ensures effici...
[ { "created": "Sun, 20 Sep 2020 05:10:01 GMT", "version": "v1" } ]
2020-09-22
[ [ "Goel", "Ashish", "" ], [ "Plaut", "Benjamin", "" ] ]
We study market mechanisms for allocating divisible goods to competing agents with quasilinear utilities. For \emph{linear} pricing (i.e., the cost of a good is proportional to the quantity purchased), the First Welfare Theorem states that Walrasian equilibria maximize the sum of agent valuations. This ensures efficien...
1903.01372
Andrea Tassi
Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki, Andrew Nix
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS
To appear in IEEE VTC-Spring 2019
null
10.1109/VTCSpring.2019.8746518
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millimeter Waves (mmWaves) will play a pivotal role in the next-generation of Intelligent Transportation Systems (ITSs). However, in deep urban environments, sensitivity to blockages creates the need for more sophisticated network planning. In this paper, we present an agile strategy for deploying road-side nodes in ...
[ { "created": "Mon, 4 Mar 2019 17:13:13 GMT", "version": "v1" } ]
2022-09-05
[ [ "Mavromatis", "Ioannis", "" ], [ "Tassi", "Andrea", "" ], [ "Piechocki", "Robert J.", "" ], [ "Nix", "Andrew", "" ] ]
Millimeter Waves (mmWaves) will play a pivotal role in the next-generation of Intelligent Transportation Systems (ITSs). However, in deep urban environments, sensitivity to blockages creates the need for more sophisticated network planning. In this paper, we present an agile strategy for deploying road-side nodes in a ...
1508.01340
Marc Boull\'e
Marc Boull\'e
Universal Approximation of Edge Density in Large Graphs
null
null
null
null
cs.SI cs.DB stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a novel way to summarize the structure of large graphs, based on non-parametric estimation of edge density in directed multigraphs. Following coclustering approach, we use a clustering of the vertices, with a piecewise constant estimation of the density of the edges across the clusters, and ...
[ { "created": "Thu, 6 Aug 2015 09:40:28 GMT", "version": "v1" } ]
2015-08-07
[ [ "Boullé", "Marc", "" ] ]
In this paper, we present a novel way to summarize the structure of large graphs, based on non-parametric estimation of edge density in directed multigraphs. Following coclustering approach, we use a clustering of the vertices, with a piecewise constant estimation of the density of the edges across the clusters, and ad...
1608.06794
Thomas Kober
Thomas Kober, Julie Weeds, Jeremy Reffin and David Weir
Improving Sparse Word Representations with Distributional Inference for Semantic Composition
To appear at EMNLP 2016
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributional models are derived from co-occurrences in a corpus, where only a small proportion of all possible plausible co-occurrences will be observed. This results in a very sparse vector space, requiring a mechanism for inferring missing knowledge. Most methods face this challenge in ways that render the result...
[ { "created": "Wed, 24 Aug 2016 12:38:45 GMT", "version": "v1" } ]
2016-08-25
[ [ "Kober", "Thomas", "" ], [ "Weeds", "Julie", "" ], [ "Reffin", "Jeremy", "" ], [ "Weir", "David", "" ] ]
Distributional models are derived from co-occurrences in a corpus, where only a small proportion of all possible plausible co-occurrences will be observed. This results in a very sparse vector space, requiring a mechanism for inferring missing knowledge. Most methods face this challenge in ways that render the resultin...
1802.03821
Ibrahim Riza Hallac
Betul Karakus, Ibrahim Riza Hallac, Galip Aydin
Distributed Readability Analysis Of Turkish Elementary School Textbooks
Proceedings of International Conference on Information Technology and Computer Science July 11-12, 2015, ISBN:9788193137307
null
null
null
cs.DC cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The readability assessment deals with estimating the level of difficulty in reading texts.Many readability tests, which do not indicate execution efficiency, have been applied on specific texts to measure the reading grade level in science textbooks. In this paper, we analyze the content covered in elementary school ...
[ { "created": "Sun, 11 Feb 2018 21:18:45 GMT", "version": "v1" } ]
2018-02-13
[ [ "Karakus", "Betul", "" ], [ "Hallac", "Ibrahim Riza", "" ], [ "Aydin", "Galip", "" ] ]
The readability assessment deals with estimating the level of difficulty in reading texts.Many readability tests, which do not indicate execution efficiency, have been applied on specific texts to measure the reading grade level in science textbooks. In this paper, we analyze the content covered in elementary school Tu...
2110.13363
Bicheng Ying
Bicheng Ying, Kun Yuan, Yiming Chen, Hanbin Hu, Pan Pan, Wotao Yin
Exponential Graph is Provably Efficient for Decentralized Deep Training
null
null
null
null
cs.LG math.OC
http://creativecommons.org/licenses/by/4.0/
Decentralized SGD is an emerging training method for deep learning known for its much less (thus faster) communication per iteration, which relaxes the averaging step in parallel SGD to inexact averaging. The less exact the averaging is, however, the more the total iterations the training needs to take. Therefore, th...
[ { "created": "Tue, 26 Oct 2021 02:33:39 GMT", "version": "v1" } ]
2021-10-27
[ [ "Ying", "Bicheng", "" ], [ "Yuan", "Kun", "" ], [ "Chen", "Yiming", "" ], [ "Hu", "Hanbin", "" ], [ "Pan", "Pan", "" ], [ "Yin", "Wotao", "" ] ]
Decentralized SGD is an emerging training method for deep learning known for its much less (thus faster) communication per iteration, which relaxes the averaging step in parallel SGD to inexact averaging. The less exact the averaging is, however, the more the total iterations the training needs to take. Therefore, the ...
1109.6494
Yolande Vieceli
Emmanuelle Darles (XLIM), Beno\^it Crespin (XLIM), Djamchid Ghazanfarpour (XLIM), Jean-Christophe Gonzato (INRIA Bordeaux - Sud-Ouest, LaBRI)
A Survey of Ocean Simulation and Rendering Techniques in Computer Graphics
null
Computer Graphics Forum 30, 1 (2011) 43-60
10.1111/j.1467-8659.2010.01828.x
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a survey of ocean simulation and rendering methods in computer graphics. To model and animate the ocean's surface, these methods mainly rely on two main approaches: on the one hand, those which approximate ocean dynamics with parametric, spectral or hybrid models and use empirical laws from oceano...
[ { "created": "Thu, 29 Sep 2011 11:50:29 GMT", "version": "v1" } ]
2011-09-30
[ [ "Darles", "Emmanuelle", "", "XLIM" ], [ "Crespin", "Benoît", "", "XLIM" ], [ "Ghazanfarpour", "Djamchid", "", "XLIM" ], [ "Gonzato", "Jean-Christophe", "", "INRIA Bordeaux - Sud-Ouest,\n LaBRI" ] ]
This paper presents a survey of ocean simulation and rendering methods in computer graphics. To model and animate the ocean's surface, these methods mainly rely on two main approaches: on the one hand, those which approximate ocean dynamics with parametric, spectral or hybrid models and use empirical laws from oceanogr...
2311.18769
Lei Xin
Lei Xin, George Chiu, Shreyas Sundaram
Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees
11 pages, 3 figures
null
null
null
cs.LG cs.SY eess.SY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of online change point detection is to detect abrupt changes in properties of time series, ideally as soon as possible after those changes occur. Existing work on online change point detection either assumes i.i.d data, focuses on asymptotic analysis, does not present theoretical guarantees on the trade-o...
[ { "created": "Thu, 30 Nov 2023 18:08:16 GMT", "version": "v1" } ]
2023-12-01
[ [ "Xin", "Lei", "" ], [ "Chiu", "George", "" ], [ "Sundaram", "Shreyas", "" ] ]
The problem of online change point detection is to detect abrupt changes in properties of time series, ideally as soon as possible after those changes occur. Existing work on online change point detection either assumes i.i.d data, focuses on asymptotic analysis, does not present theoretical guarantees on the trade-off...
1108.2237
Lalitha Sankar
Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor
Competitive Privacy in the Smart Grid: An Information-theoretic Approach
Accepted for publication and presentation at the IEEE SmartGridComm 2011
null
10.1109/SmartGridComm.2011.6102322
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in sensing and communication capabilities as well as power industry deregulation are driving the need for distributed state estimation in the smart grid at the level of the regional transmission organizations (RTOs). This leads to a new competitive privacy problem amongst the RTOs since there is a tension be...
[ { "created": "Wed, 10 Aug 2011 18:19:55 GMT", "version": "v1" } ]
2016-11-18
[ [ "Sankar", "Lalitha", "" ], [ "Kar", "Soummya", "" ], [ "Tandon", "Ravi", "" ], [ "Poor", "H. Vincent", "" ] ]
Advances in sensing and communication capabilities as well as power industry deregulation are driving the need for distributed state estimation in the smart grid at the level of the regional transmission organizations (RTOs). This leads to a new competitive privacy problem amongst the RTOs since there is a tension betw...
2305.19240
Ulyana Piterbarg
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
NetHack is Hard to Hack
NeurIPS 2023
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural policy learning methods have achieved remarkable results in various control problems, ranging from Atari games to simulated locomotion. However, these methods struggle in long-horizon tasks, especially in open-ended environments with multi-modal observations, such as the popular dungeon-crawler game, NetHack. ...
[ { "created": "Tue, 30 May 2023 17:30:17 GMT", "version": "v1" }, { "created": "Mon, 30 Oct 2023 14:23:33 GMT", "version": "v2" } ]
2023-10-31
[ [ "Piterbarg", "Ulyana", "" ], [ "Pinto", "Lerrel", "" ], [ "Fergus", "Rob", "" ] ]
Neural policy learning methods have achieved remarkable results in various control problems, ranging from Atari games to simulated locomotion. However, these methods struggle in long-horizon tasks, especially in open-ended environments with multi-modal observations, such as the popular dungeon-crawler game, NetHack. In...
2111.04887
Andrej (Andy) Brodnik
Andrej Brodnik, Andrew Csizmadia, Gerald Futschek, Lidija Kralj, Violetta Lonati, Peter Micheuz, Mattia Monga
Programming for All: Understanding the Nature of Programs
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computer programs are part of our daily life, we use them, we provide them with data, they support our decisions, they help us remember, they control machines, etc. Programs are made by people, but in most cases we are not their authors, so we have to decide if we can trust them. Programs enable computers and compute...
[ { "created": "Tue, 9 Nov 2021 00:14:49 GMT", "version": "v1" }, { "created": "Sat, 4 Dec 2021 17:42:35 GMT", "version": "v2" } ]
2021-12-07
[ [ "Brodnik", "Andrej", "" ], [ "Csizmadia", "Andrew", "" ], [ "Futschek", "Gerald", "" ], [ "Kralj", "Lidija", "" ], [ "Lonati", "Violetta", "" ], [ "Micheuz", "Peter", "" ], [ "Monga", "Mattia", "" ] ]
Computer programs are part of our daily life, we use them, we provide them with data, they support our decisions, they help us remember, they control machines, etc. Programs are made by people, but in most cases we are not their authors, so we have to decide if we can trust them. Programs enable computers and computer-...
cs/0607109
Marko Samer
Marko Samer and Stefan Szeider
Complexity and Applications of Edge-Induced Vertex-Cuts
17 pages, 5 figures, 2 tables
null
null
null
cs.DM cs.CC
null
Motivated by hypergraph decomposition algorithms, we introduce the notion of edge-induced vertex-cuts and compare it with the well-known notions of edge-cuts and vertex-cuts. We investigate the complexity of computing minimum edge-induced vertex-cuts and demonstrate the usefulness of our notion by applications in net...
[ { "created": "Tue, 25 Jul 2006 16:17:22 GMT", "version": "v1" }, { "created": "Mon, 31 Jul 2006 09:23:22 GMT", "version": "v2" } ]
2007-05-23
[ [ "Samer", "Marko", "" ], [ "Szeider", "Stefan", "" ] ]
Motivated by hypergraph decomposition algorithms, we introduce the notion of edge-induced vertex-cuts and compare it with the well-known notions of edge-cuts and vertex-cuts. We investigate the complexity of computing minimum edge-induced vertex-cuts and demonstrate the usefulness of our notion by applications in netwo...
1508.06583
Avery Miller
Kokouvi Hounkanli, Avery Miller, Andrzej Pelc
Global Synchronization and Consensus Using Beeps in a Fault-Prone MAC
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consensus is one of the fundamental tasks studied in distributed computing. Processors have input values from some set $V$ and they have to decide the same value from this set. If all processors have the same input value, then they must all decide this value. We study the task of consensus in a Multiple Access Channe...
[ { "created": "Wed, 26 Aug 2015 17:42:44 GMT", "version": "v1" } ]
2015-08-27
[ [ "Hounkanli", "Kokouvi", "" ], [ "Miller", "Avery", "" ], [ "Pelc", "Andrzej", "" ] ]
Consensus is one of the fundamental tasks studied in distributed computing. Processors have input values from some set $V$ and they have to decide the same value from this set. If all processors have the same input value, then they must all decide this value. We study the task of consensus in a Multiple Access Channel ...
2209.11390
Zheng Shi
Zheng Shi, Hong Wang, Yaru Fu, Guanghua Yang, Shaodan Ma, and Xinrong Ye
Outage Performance and Optimal Design of MIMO-NOMA Enhanced Small Cell Networks With Imperfect Channel-State Information
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
This paper focuses on boosting the performance of small cell networks (SCNs) by integrating multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) in consideration of imperfect channel-state information (CSI). The estimation error and the spatial randomness of base stations (BSs) are characte...
[ { "created": "Fri, 23 Sep 2022 03:54:06 GMT", "version": "v1" } ]
2022-09-26
[ [ "Shi", "Zheng", "" ], [ "Wang", "Hong", "" ], [ "Fu", "Yaru", "" ], [ "Yang", "Guanghua", "" ], [ "Ma", "Shaodan", "" ], [ "Ye", "Xinrong", "" ] ]
This paper focuses on boosting the performance of small cell networks (SCNs) by integrating multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) in consideration of imperfect channel-state information (CSI). The estimation error and the spatial randomness of base stations (BSs) are characteri...
2104.08038
Ekta Prashnani
Ekta Prashnani, Orazio Gallo, Joohwan Kim, Josef Spjut, Pradeep Sen, Iuri Frosio
Noise-Aware Video Saliency Prediction
10 pages, 3 figures, 7 tables
British Machine Vision Conference (BMVC) 2021
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We tackle the problem of predicting saliency maps for videos of dynamic scenes. We note that the accuracy of the maps reconstructed from the gaze data of a fixed number of observers varies with the frame, as it depends on the content of the scene. This issue is particularly pressing when a limited number of observers...
[ { "created": "Fri, 16 Apr 2021 11:32:46 GMT", "version": "v1" }, { "created": "Mon, 22 Nov 2021 05:38:36 GMT", "version": "v2" } ]
2021-11-23
[ [ "Prashnani", "Ekta", "" ], [ "Gallo", "Orazio", "" ], [ "Kim", "Joohwan", "" ], [ "Spjut", "Josef", "" ], [ "Sen", "Pradeep", "" ], [ "Frosio", "Iuri", "" ] ]
We tackle the problem of predicting saliency maps for videos of dynamic scenes. We note that the accuracy of the maps reconstructed from the gaze data of a fixed number of observers varies with the frame, as it depends on the content of the scene. This issue is particularly pressing when a limited number of observers a...
2210.11475
Zineb Garroussi Dr
Zineb Garroussi, Abdoul Wassi Badirou, Mathieu D'amours, Andr\'e Girard, Brunilde Sans\`o
On the economic viability of solar energy when upgrading cellular networks
25 pages, 12 figures, 51 references, journal paper to ieee transaciton green communications and networks
null
null
null
cs.CE cs.NI math.OC
http://creativecommons.org/licenses/by/4.0/
The massive increase of data traffic, the widespread proliferation of wireless applications and the full-scale deployment of 5G and the IoT, imply a steep increase in cellular networks energy use, resulting in a significant carbon footprint. This paper presents a comprehensive model to show the interaction between th...
[ { "created": "Mon, 17 Oct 2022 20:36:34 GMT", "version": "v1" } ]
2022-10-24
[ [ "Garroussi", "Zineb", "" ], [ "Badirou", "Abdoul Wassi", "" ], [ "D'amours", "Mathieu", "" ], [ "Girard", "André", "" ], [ "Sansò", "Brunilde", "" ] ]
The massive increase of data traffic, the widespread proliferation of wireless applications and the full-scale deployment of 5G and the IoT, imply a steep increase in cellular networks energy use, resulting in a significant carbon footprint. This paper presents a comprehensive model to show the interaction between the ...
2203.16784
Dohwan Ko
Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning generic joint representations for video and text by a supervised method requires a prohibitively substantial amount of manually annotated video datasets. As a practical alternative, a large-scale but uncurated and narrated video dataset, HowTo100M, has recently been introduced. But it is still challenging to...
[ { "created": "Thu, 31 Mar 2022 04:13:16 GMT", "version": "v1" } ]
2022-04-01
[ [ "Ko", "Dohwan", "" ], [ "Choi", "Joonmyung", "" ], [ "Ko", "Juyeon", "" ], [ "Noh", "Shinyeong", "" ], [ "On", "Kyoung-Woon", "" ], [ "Kim", "Eun-Sol", "" ], [ "Kim", "Hyunwoo J.", "" ] ]
Learning generic joint representations for video and text by a supervised method requires a prohibitively substantial amount of manually annotated video datasets. As a practical alternative, a large-scale but uncurated and narrated video dataset, HowTo100M, has recently been introduced. But it is still challenging to l...
2306.07684
Jiangtao Zhang
Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
Lookaround Optimizer: $k$ steps around, 1 step average
Accepted to NeurIPS 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Weight Average (WA) is an active research topic due to its simplicity in ensembling deep networks and the effectiveness in promoting generalization. Existing weight average approaches, however, are often carried out along only one training trajectory in a post-hoc manner (i.e., the weights are averaged after the enti...
[ { "created": "Tue, 13 Jun 2023 10:55:20 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 06:41:12 GMT", "version": "v2" }, { "created": "Thu, 2 Nov 2023 15:24:29 GMT", "version": "v3" } ]
2023-11-03
[ [ "Zhang", "Jiangtao", "" ], [ "Liu", "Shunyu", "" ], [ "Song", "Jie", "" ], [ "Zhu", "Tongtian", "" ], [ "Xu", "Zhengqi", "" ], [ "Song", "Mingli", "" ] ]
Weight Average (WA) is an active research topic due to its simplicity in ensembling deep networks and the effectiveness in promoting generalization. Existing weight average approaches, however, are often carried out along only one training trajectory in a post-hoc manner (i.e., the weights are averaged after the entire...
2305.13286
Rochelle Choenni
Rochelle Choenni, Dan Garrette, Ekaterina Shutova
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multilingual large language models (MLLMs) are jointly trained on data from many different languages such that representation of individual languages can benefit from other languages' data. Impressive performance on zero-shot cross-lingual transfer shows that these models are capable of exploiting data from other lan...
[ { "created": "Mon, 22 May 2023 17:47:41 GMT", "version": "v1" }, { "created": "Tue, 21 May 2024 11:47:13 GMT", "version": "v2" } ]
2024-05-22
[ [ "Choenni", "Rochelle", "" ], [ "Garrette", "Dan", "" ], [ "Shutova", "Ekaterina", "" ] ]
Multilingual large language models (MLLMs) are jointly trained on data from many different languages such that representation of individual languages can benefit from other languages' data. Impressive performance on zero-shot cross-lingual transfer shows that these models are capable of exploiting data from other langu...
1708.05905
Lesandro Ponciano
Lesandro Ponciano and Pedro Barbosa and Francisco Brasileiro and Andrey Brito and Nazareno Andrade
Designing for Pragmatists and Fundamentalists: Privacy Concerns and Attitudes on the Internet of Things
XVI Brazilian Symposium on Human Factors in Computing Systems (IHC'17), October 23-27, 2017, Joinville, SC, Brazil
In Proceedings of IHC 2017. ACM, US, Article 21, 10 pages (2017)
10.1145/3160504.3160545
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Internet of Things (IoT) systems have aroused enthusiasm and concerns. Enthusiasm comes from their utilities in people daily life, and concerns may be associated with privacy issues. By using two IoT systems as case-studies, we examine users' privacy beliefs, concerns and attitudes. We focus on four major dimensions:...
[ { "created": "Sat, 19 Aug 2017 22:15:58 GMT", "version": "v1" }, { "created": "Fri, 19 Jan 2018 16:05:41 GMT", "version": "v2" }, { "created": "Tue, 30 Jul 2019 15:07:58 GMT", "version": "v3" } ]
2019-07-31
[ [ "Ponciano", "Lesandro", "" ], [ "Barbosa", "Pedro", "" ], [ "Brasileiro", "Francisco", "" ], [ "Brito", "Andrey", "" ], [ "Andrade", "Nazareno", "" ] ]
Internet of Things (IoT) systems have aroused enthusiasm and concerns. Enthusiasm comes from their utilities in people daily life, and concerns may be associated with privacy issues. By using two IoT systems as case-studies, we examine users' privacy beliefs, concerns and attitudes. We focus on four major dimensions: t...
2101.02434
Michael Gundall
Michael Gundall, Christopher Huber, Sergiy Melnyk
Integration of IEEE 802.1AS-based Time Synchronization in IEEE 802.11 as an Enabler for Novel Industrial Use Cases
arXiv admin note: text overlap with arXiv:2011.06313
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Industry 4.0 introduces new use cases, with more and more mobile devices appearing in the industrial landscape. These applications require both new technologies and smooth integration into existing brownfield deployments. Emerging mobile use cases can be divided into optional mobile and mandatory mobile, where the fi...
[ { "created": "Thu, 7 Jan 2021 08:54:43 GMT", "version": "v1" } ]
2021-01-08
[ [ "Gundall", "Michael", "" ], [ "Huber", "Christopher", "" ], [ "Melnyk", "Sergiy", "" ] ]
Industry 4.0 introduces new use cases, with more and more mobile devices appearing in the industrial landscape. These applications require both new technologies and smooth integration into existing brownfield deployments. Emerging mobile use cases can be divided into optional mobile and mandatory mobile, where the firs...
1906.05413
Joshua Robinson
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Strongly log-concave (SLC) distributions are a rich class of discrete probability distributions over subsets of some ground set. They are strictly more general than strongly Rayleigh (SR) distributions such as the well-known determinantal point process. While SR distributions offer elegant models of diversity, they l...
[ { "created": "Wed, 12 Jun 2019 22:44:17 GMT", "version": "v1" } ]
2019-06-14
[ [ "Robinson", "Joshua", "" ], [ "Sra", "Suvrit", "" ], [ "Jegelka", "Stefanie", "" ] ]
Strongly log-concave (SLC) distributions are a rich class of discrete probability distributions over subsets of some ground set. They are strictly more general than strongly Rayleigh (SR) distributions such as the well-known determinantal point process. While SR distributions offer elegant models of diversity, they lac...
2103.11525
Gordon Watts
Gordon Watts
hep_tables: Heterogeneous Array Programming for HEP
10 pages, 5 figures, submission for vCHEP 2021
null
10.1051/epjconf/202125103061
null
cs.DB physics.data-an
http://creativecommons.org/licenses/by/4.0/
Array operations are one of the most concise ways of expressing common filtering and simple aggregation operations that is the hallmark of the first step of a particle physics analysis: selection, filtering, basic vector operations, and filling histograms. The High Luminosity run of the Large Hadron Collider (HL-LHC)...
[ { "created": "Mon, 22 Mar 2021 00:49:45 GMT", "version": "v1" } ]
2021-09-08
[ [ "Watts", "Gordon", "" ] ]
Array operations are one of the most concise ways of expressing common filtering and simple aggregation operations that is the hallmark of the first step of a particle physics analysis: selection, filtering, basic vector operations, and filling histograms. The High Luminosity run of the Large Hadron Collider (HL-LHC), ...
1510.01871
Peter Van Den Besselaar
Peter van den Besselaar and Ulf Sandstrom
Does Quantity Make a Difference? The importance of publishing many papers
Presented at ISSI 2015, Istanbul
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Do highly productive researchers have significantly higher probability to produce top cited papers? Or does the increased productivity in science only result in a sea of irrelevant papers as a perverse effect of competition and the increased use of indicators for research evaluation and accountability focus? We use a...
[ { "created": "Wed, 7 Oct 2015 09:39:50 GMT", "version": "v1" } ]
2015-10-08
[ [ "Besselaar", "Peter van den", "" ], [ "Sandstrom", "Ulf", "" ] ]
Do highly productive researchers have significantly higher probability to produce top cited papers? Or does the increased productivity in science only result in a sea of irrelevant papers as a perverse effect of competition and the increased use of indicators for research evaluation and accountability focus? We use a S...
1504.04244
Pedro Henrique Juliano Nardelli
Pedro H. J. Nardelli, Hirley Alves, Carlos H. M. de Lima, Matti Latva-aho
Throughput Maximization in Multi-Hop Wireless Networks under Secrecy Constraint
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper analyzes the throughput of industrial communication networks under a secrecy constraint. The proposed scenario is composed by sensors that measure some relevant information of the plant that is first processed by aggregator node and then sent to the control unit. The sensor measurements, their communicatio...
[ { "created": "Thu, 16 Apr 2015 14:12:54 GMT", "version": "v1" }, { "created": "Thu, 17 Dec 2015 11:16:23 GMT", "version": "v2" } ]
2015-12-18
[ [ "Nardelli", "Pedro H. J.", "" ], [ "Alves", "Hirley", "" ], [ "de Lima", "Carlos H. M.", "" ], [ "Latva-aho", "Matti", "" ] ]
This paper analyzes the throughput of industrial communication networks under a secrecy constraint. The proposed scenario is composed by sensors that measure some relevant information of the plant that is first processed by aggregator node and then sent to the control unit. The sensor measurements, their communication ...
1910.11117
Shubham Dokania
Shubham Dokania, Vasudev Singh
Graph Representation learning for Audio & Music genre Classification
null
null
null
null
cs.SD cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Music genre is arguably one of the most important and discriminative information for music and audio content. Visual representation based approaches have been explored on spectrograms for music genre classification. However, lack of quality data and augmentation techniques makes it difficult to employ deep learning t...
[ { "created": "Wed, 23 Oct 2019 13:59:23 GMT", "version": "v1" } ]
2019-10-25
[ [ "Dokania", "Shubham", "" ], [ "Singh", "Vasudev", "" ] ]
Music genre is arguably one of the most important and discriminative information for music and audio content. Visual representation based approaches have been explored on spectrograms for music genre classification. However, lack of quality data and augmentation techniques makes it difficult to employ deep learning tec...
1811.12161
Robert Kent
Christian Neuss and Robert E. Kent
Conceptual Analysis of Resource Meta-information
17 pages, 3 figures, 8 tables, Third International World Wide Web (WWW) Conference 1995. arXiv admin note: text overlap with arXiv:1810.07232
Computer Networks and ISDN Systems 27(6): 973-984 (1995)
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It's ease of use and the availability of browsers for various platforms have paved the way for the enormous popularity that the World Wide Web currently enjoys. In the near future, by providing not only easy access to information, but also means for conducting business transactions, the Web could form the base techno...
[ { "created": "Mon, 22 Oct 2018 21:33:03 GMT", "version": "v1" } ]
2018-11-30
[ [ "Neuss", "Christian", "" ], [ "Kent", "Robert E.", "" ] ]
It's ease of use and the availability of browsers for various platforms have paved the way for the enormous popularity that the World Wide Web currently enjoys. In the near future, by providing not only easy access to information, but also means for conducting business transactions, the Web could form the base technolo...
1906.04982
\'Etienne Andr\'e
\'Etienne Andr\'e, Beno\^it Delahaye and Paulin Fournier
Consistency in Parametric Interval Probabilistic Timed Automata
This is the author version of the manuscript of the same name published in the Journal of Logical and Algebraic Methods in Programming. This work is partially supported by the ANR national research program PACS (ANR-14-CE28-0002)
null
10.1016/j.jlamp.2019.04.007
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new abstract formalism for probabilistic timed systems, Parametric Interval Probabilistic Timed Automata, based on an extension of Parametric Timed Automata and Interval Markov Chains. In this context, we consider the consistency problem that amounts to deciding whether a given specification admits at le...
[ { "created": "Wed, 12 Jun 2019 07:40:35 GMT", "version": "v1" } ]
2019-06-13
[ [ "André", "Étienne", "" ], [ "Delahaye", "Benoît", "" ], [ "Fournier", "Paulin", "" ] ]
We propose a new abstract formalism for probabilistic timed systems, Parametric Interval Probabilistic Timed Automata, based on an extension of Parametric Timed Automata and Interval Markov Chains. In this context, we consider the consistency problem that amounts to deciding whether a given specification admits at leas...
cs/0611076
Ying Jun Zhang Ph.D.
Soung Chang Liew and Ying Jun Zhang
Proportional Fairness in Multi-channel Multi-rate Wireless Networks-Part II: The Case of Time-Varying Channels
null
null
null
null
cs.PF cs.IT cs.NI math.IT
null
This is Part II of a two-part paper series that studies the use of the proportional fairness (PF) utility function as the basis for capacity allocation and scheduling in multi-channel multi-rate wireless networks. The contributions of Part II are twofold. (i) First, we extend the problem formulation, theoretical resu...
[ { "created": "Thu, 16 Nov 2006 03:14:40 GMT", "version": "v1" }, { "created": "Sat, 23 Feb 2008 04:23:32 GMT", "version": "v2" } ]
2008-02-23
[ [ "Liew", "Soung Chang", "" ], [ "Zhang", "Ying Jun", "" ] ]
This is Part II of a two-part paper series that studies the use of the proportional fairness (PF) utility function as the basis for capacity allocation and scheduling in multi-channel multi-rate wireless networks. The contributions of Part II are twofold. (i) First, we extend the problem formulation, theoretical result...
2009.09279
Mohamed Wiem Mkaouer
Eman Abdullah AlOmar, Mohamed Wiem Mkaouer, Ali Ouni
Toward the Automatic Classification of Self-Affirmed Refactoring
null
null
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The concept of Self-Affirmed Refactoring (SAR) was introduced to explore how developers document their refactoring activities in commit messages, i.e., developers' explicit documentation of refactoring operations intentionally introduced during a code change. In our previous study, we have manually identified refacto...
[ { "created": "Sat, 19 Sep 2020 18:35:21 GMT", "version": "v1" } ]
2020-09-22
[ [ "AlOmar", "Eman Abdullah", "" ], [ "Mkaouer", "Mohamed Wiem", "" ], [ "Ouni", "Ali", "" ] ]
The concept of Self-Affirmed Refactoring (SAR) was introduced to explore how developers document their refactoring activities in commit messages, i.e., developers' explicit documentation of refactoring operations intentionally introduced during a code change. In our previous study, we have manually identified refactori...
1711.07684
Mukul Bhutani
Mukul Bhutani and Bamdev Mishra
A two-dimensional decomposition approach for matrix completion through gossip
Appeared in the Emergent Communication Workshop at NIPS 2017
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Factoring a matrix into two low rank matrices is at the heart of many problems. The problem of matrix completion especially uses it to decompose a sparse matrix into two non sparse, low rank matrices which can then be used to predict unknown entries of the original matrix. We present a scalable and decentralized appr...
[ { "created": "Tue, 21 Nov 2017 09:21:13 GMT", "version": "v1" }, { "created": "Thu, 11 Jan 2018 12:41:33 GMT", "version": "v2" } ]
2018-01-12
[ [ "Bhutani", "Mukul", "" ], [ "Mishra", "Bamdev", "" ] ]
Factoring a matrix into two low rank matrices is at the heart of many problems. The problem of matrix completion especially uses it to decompose a sparse matrix into two non sparse, low rank matrices which can then be used to predict unknown entries of the original matrix. We present a scalable and decentralized approa...
2007.14672
Muzammal Naseer
Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli
Stylized Adversarial Defense
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, imperceptible changes to the input images. To address this vulnerability, adversarial training creates perturbation patterns and includes them in the training set to robustify the model. In contrast to existing adversarial training methods that o...
[ { "created": "Wed, 29 Jul 2020 08:38:10 GMT", "version": "v1" }, { "created": "Fri, 16 Sep 2022 14:37:43 GMT", "version": "v2" } ]
2022-09-19
[ [ "Naseer", "Muzammal", "" ], [ "Khan", "Salman", "" ], [ "Hayat", "Munawar", "" ], [ "Khan", "Fahad Shahbaz", "" ], [ "Porikli", "Fatih", "" ] ]
Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, imperceptible changes to the input images. To address this vulnerability, adversarial training creates perturbation patterns and includes them in the training set to robustify the model. In contrast to existing adversarial training methods that onl...
1912.11673
Wensheng Gan
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang and Philip S. Yu
Utility Mining Across Multi-Sequences with Individualized Thresholds
Accepted by ACM Trans. on Data Science, 29 pages, 6 figures
ACM Transactions on Data Science, 2020
10.1145/3362070
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Utility-oriented pattern mining has become an emerging topic since it can reveal high-utility patterns (e.g., itemsets, rules, sequences) from different types of data, which provides more information than the traditional frequent/confident-based pattern mining models. The utilities of various items are not exactly eq...
[ { "created": "Wed, 25 Dec 2019 14:06:02 GMT", "version": "v1" } ]
2021-04-01
[ [ "Gan", "Wensheng", "" ], [ "Lin", "Jerry Chun-Wei", "" ], [ "Zhang", "Jiexiong", "" ], [ "Yu", "Philip S.", "" ] ]
Utility-oriented pattern mining has become an emerging topic since it can reveal high-utility patterns (e.g., itemsets, rules, sequences) from different types of data, which provides more information than the traditional frequent/confident-based pattern mining models. The utilities of various items are not exactly equa...
2204.08069
Huili Chen
Huili Chen, Jie Ding, Eric Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang
Self-Aware Personalized Federated Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives may not be exactly aligned. Inspired by Bayesian hierarchical models, we develop a self-aware personalized FL method where each client ca...
[ { "created": "Sun, 17 Apr 2022 19:02:25 GMT", "version": "v1" } ]
2022-04-19
[ [ "Chen", "Huili", "" ], [ "Ding", "Jie", "" ], [ "Tramel", "Eric", "" ], [ "Wu", "Shuang", "" ], [ "Sahu", "Anit Kumar", "" ], [ "Avestimehr", "Salman", "" ], [ "Zhang", "Tao", "" ] ]
In the context of personalized federated learning (FL), the critical challenge is to balance local model improvement and global model tuning when the personal and global objectives may not be exactly aligned. Inspired by Bayesian hierarchical models, we develop a self-aware personalized FL method where each client can ...
1611.09030
Samin Aref
Samin Aref, Andrew J. Mason, and Mark C. Wilson
A modelling and computational study of the frustration index in signed networks
25 pages, 4 figures, 6 tables Old title: An exact method for computing the frustration index in signed networks using binary programming. The current authors have published a book chapter under the title "Computing the Line Index of Balance Using Integer Programming Optimisation" that can be found in ArXiv:1710...
null
null
null
cs.SI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing the frustration index of a signed graph is a key step toward solving problems in many fields including social networks, political science, physics, chemistry, and biology. The frustration index determines the distance of a network from a state of total structural balance. Although the definition of the frus...
[ { "created": "Mon, 28 Nov 2016 09:10:06 GMT", "version": "v1" }, { "created": "Fri, 26 May 2017 06:54:54 GMT", "version": "v2" }, { "created": "Thu, 3 May 2018 12:18:03 GMT", "version": "v3" }, { "created": "Mon, 26 Aug 2019 17:48:48 GMT", "version": "v4" } ]
2019-08-27
[ [ "Aref", "Samin", "" ], [ "Mason", "Andrew J.", "" ], [ "Wilson", "Mark C.", "" ] ]
Computing the frustration index of a signed graph is a key step toward solving problems in many fields including social networks, political science, physics, chemistry, and biology. The frustration index determines the distance of a network from a state of total structural balance. Although the definition of the frustr...
2307.02784
Seyoung Ahn
Seyoung Ahn, Soohyeong Kim, Yongseok Kwon, Joohan Park, Jiseung Youn, Sunghyun Cho
On the Spatial-Wideband Effects in Millimeter-Wave Cell-Free Massive MIMO
null
null
null
null
cs.IT cs.NI eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the spatial-wideband effects in cell-free massive MIMO (CF-mMIMO) systems in mmWave bands. The utilization of mmWave frequencies brings challenges such as signal attenuation and the need for denser networks like ultra-dense networks (UDN) to maintain communication performance. CF-mMIMO i...
[ { "created": "Thu, 6 Jul 2023 05:22:37 GMT", "version": "v1" } ]
2023-07-07
[ [ "Ahn", "Seyoung", "" ], [ "Kim", "Soohyeong", "" ], [ "Kwon", "Yongseok", "" ], [ "Park", "Joohan", "" ], [ "Youn", "Jiseung", "" ], [ "Cho", "Sunghyun", "" ] ]
In this paper, we investigate the spatial-wideband effects in cell-free massive MIMO (CF-mMIMO) systems in mmWave bands. The utilization of mmWave frequencies brings challenges such as signal attenuation and the need for denser networks like ultra-dense networks (UDN) to maintain communication performance. CF-mMIMO is ...
2204.09188
Nirmal Shende
Nirmal V. Shende and Aaron B. Wagner
Functional Covering of Point Processes
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We introduce a new distortion measure for point processes called functional-covering distortion. It is inspired by intensity theory and is related to both the covering of point processes and logarithmic loss distortion. We obtain the distortion-rate function with feedforward under this distortion measure for a large ...
[ { "created": "Wed, 20 Apr 2022 02:30:18 GMT", "version": "v1" } ]
2022-04-21
[ [ "Shende", "Nirmal V.", "" ], [ "Wagner", "Aaron B.", "" ] ]
We introduce a new distortion measure for point processes called functional-covering distortion. It is inspired by intensity theory and is related to both the covering of point processes and logarithmic loss distortion. We obtain the distortion-rate function with feedforward under this distortion measure for a large cl...
2002.02701
Henry Wilde
Henry Wilde, Vincent Knight, Jonathan Gillard
A novel initialisation based on hospital-resident assignment for the k-modes algorithm
23 pages, 11 figures (31 panels)
null
null
null
cs.LG cs.GT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the common initialisations from literature do not. The method, which utilises the Hospital-Resident Assignment Problem to find the set of initial c...
[ { "created": "Fri, 7 Feb 2020 10:20:49 GMT", "version": "v1" } ]
2020-02-10
[ [ "Wilde", "Henry", "" ], [ "Knight", "Vincent", "" ], [ "Gillard", "Jonathan", "" ] ]
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the common initialisations from literature do not. The method, which utilises the Hospital-Resident Assignment Problem to find the set of initial clu...
2111.10090
Huashan Chen
Huashan Chen, Richard B. Garcia-Lebron, Zheyuan Sun, Jin-Hee Cho, and Shouhuai Xu
Quantifying Cybersecurity Effectiveness of Software Diversity
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The deployment of monoculture software stacks can cause a devastating damage even by a single exploit against a single vulnerability. Inspired by the resilience benefit of biological diversity, the concept of software diversity has been proposed in the security domain. Although it is intuitive that software diversity...
[ { "created": "Fri, 19 Nov 2021 08:28:27 GMT", "version": "v1" } ]
2021-11-22
[ [ "Chen", "Huashan", "" ], [ "Garcia-Lebron", "Richard B.", "" ], [ "Sun", "Zheyuan", "" ], [ "Cho", "Jin-Hee", "" ], [ "Xu", "Shouhuai", "" ] ]
The deployment of monoculture software stacks can cause a devastating damage even by a single exploit against a single vulnerability. Inspired by the resilience benefit of biological diversity, the concept of software diversity has been proposed in the security domain. Although it is intuitive that software diversity m...
2302.14306
Srikanth Malla
Srikanth Malla, Yi-Ting Chen
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
null
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Point cloud data plays an essential role in robotics and self-driving applications. Yet, annotating point cloud data is time-consuming and nontrivial while they enable learning discriminative 3D representations that empower downstream tasks, such as classification and segmentation. Recently, contrastive learning-base...
[ { "created": "Tue, 28 Feb 2023 04:38:52 GMT", "version": "v1" } ]
2023-03-01
[ [ "Malla", "Srikanth", "" ], [ "Chen", "Yi-Ting", "" ] ]
Point cloud data plays an essential role in robotics and self-driving applications. Yet, annotating point cloud data is time-consuming and nontrivial while they enable learning discriminative 3D representations that empower downstream tasks, such as classification and segmentation. Recently, contrastive learning-based ...
2309.05477
Tim Bakker
Tim Bakker, Herke van Hoof, Max Welling
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Accepted at ECML 2023
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pool-based active learning (AL) is a promising technology for increasing data-efficiency of machine learning models. However, surveys show that performance of recent AL methods is very sensitive to the choice of dataset and training setting, making them unsuitable for general application. In order to tackle this prob...
[ { "created": "Mon, 11 Sep 2023 14:16:37 GMT", "version": "v1" } ]
2023-09-12
[ [ "Bakker", "Tim", "" ], [ "van Hoof", "Herke", "" ], [ "Welling", "Max", "" ] ]
Pool-based active learning (AL) is a promising technology for increasing data-efficiency of machine learning models. However, surveys show that performance of recent AL methods is very sensitive to the choice of dataset and training setting, making them unsuitable for general application. In order to tackle this proble...
1808.08349
Aron Laszka
Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos
Detection and Mitigation of Attacks on Transportation Networks as a Multi-Stage Security Game
null
null
null
null
cs.CR cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, state-of-the-art traffic-control devices have evolved from standalone hardware to networked smart devices. Smart traffic control enables operators to decrease traffic congestion and environmental impact by acquiring real-time traffic data and changing traffic signals from fixed to adaptive schedules....
[ { "created": "Sat, 25 Aug 2018 03:19:20 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2019 18:03:48 GMT", "version": "v2" } ]
2019-08-06
[ [ "Laszka", "Aron", "" ], [ "Abbas", "Waseem", "" ], [ "Vorobeychik", "Yevgeniy", "" ], [ "Koutsoukos", "Xenofon", "" ] ]
In recent years, state-of-the-art traffic-control devices have evolved from standalone hardware to networked smart devices. Smart traffic control enables operators to decrease traffic congestion and environmental impact by acquiring real-time traffic data and changing traffic signals from fixed to adaptive schedules. H...
1402.5029
Nicolas Emilio Bordenabe
Nicol\'as E. Bordenabe, Konstantinos Chatzikokolakis, Catuscia Palamidessi
Optimal Geo-Indistinguishable Mechanisms for Location Privacy
13 pages
null
10.1145/2660267.2660345
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the geo-indistinguishability approach to location privacy, and the trade-off with respect to utility. We show that, given a desired degree of geo-indistinguishability, it is possible to construct a mechanism that minimizes the service quality loss, using linear programming techniques. In addition we show ...
[ { "created": "Thu, 20 Feb 2014 15:21:42 GMT", "version": "v1" }, { "created": "Sat, 16 Aug 2014 18:43:33 GMT", "version": "v2" }, { "created": "Sun, 24 Aug 2014 22:11:45 GMT", "version": "v3" } ]
2014-08-26
[ [ "Bordenabe", "Nicolás E.", "" ], [ "Chatzikokolakis", "Konstantinos", "" ], [ "Palamidessi", "Catuscia", "" ] ]
We consider the geo-indistinguishability approach to location privacy, and the trade-off with respect to utility. We show that, given a desired degree of geo-indistinguishability, it is possible to construct a mechanism that minimizes the service quality loss, using linear programming techniques. In addition we show th...
2308.06657
Sidong Feng
Sidong Feng, Haochuan Lu, Ting Xiong, Yuetang Deng, Chunyang Chen
Towards Efficient Record and Replay: A Case Study in WeChat
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are crucial in achieving this goal. Despite the extensive development of these tools, the impact of waiting time between replay events has been l...
[ { "created": "Sun, 13 Aug 2023 01:02:00 GMT", "version": "v1" }, { "created": "Fri, 25 Aug 2023 09:14:35 GMT", "version": "v2" } ]
2023-08-28
[ [ "Feng", "Sidong", "" ], [ "Lu", "Haochuan", "" ], [ "Xiong", "Ting", "" ], [ "Deng", "Yuetang", "" ], [ "Chen", "Chunyang", "" ] ]
WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are crucial in achieving this goal. Despite the extensive development of these tools, the impact of waiting time between replay events has been lar...
2402.12930
Nils Philipp Walter
Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken
Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Finding and describing sub-populations that are exceptional regarding a target property has important applications in many scientific disciplines, from identifying disadvantaged demographic groups in census data to finding conductive molecules within gold nanoparticles. Current approaches to finding such subgroups re...
[ { "created": "Tue, 20 Feb 2024 11:29:57 GMT", "version": "v1" } ]
2024-02-21
[ [ "Xu", "Sascha", "" ], [ "Walter", "Nils Philipp", "" ], [ "Kalofolias", "Janis", "" ], [ "Vreeken", "Jilles", "" ] ]
Finding and describing sub-populations that are exceptional regarding a target property has important applications in many scientific disciplines, from identifying disadvantaged demographic groups in census data to finding conductive molecules within gold nanoparticles. Current approaches to finding such subgroups requ...
cs/0703045
Mehmet Ak\c{c}akaya
Mehmet Ak\c{c}akaya and Vahid Tarokh
Performance Bounds on Sparse Representations Using Redundant Frames
8 pages, 1 figure, Submitted to IEEE Transactions on Signal Processing
null
null
null
cs.IT math.IT
null
We consider approximations of signals by the elements of a frame in a complex vector space of dimension $N$ and formulate both the noiseless and the noisy sparse representation problems. The noiseless representation problem is to find sparse representations of a signal $\mathbf{r}$ given that such representations exi...
[ { "created": "Fri, 9 Mar 2007 19:28:10 GMT", "version": "v1" } ]
2007-07-13
[ [ "Akçakaya", "Mehmet", "" ], [ "Tarokh", "Vahid", "" ] ]
We consider approximations of signals by the elements of a frame in a complex vector space of dimension $N$ and formulate both the noiseless and the noisy sparse representation problems. The noiseless representation problem is to find sparse representations of a signal $\mathbf{r}$ given that such representations exist...
2301.13642
Navdeep Kumar
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
An Efficient Solution to s-Rectangular Robust Markov Decision Processes
arXiv admin note: substantial text overlap with arXiv:2205.14327
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an efficient robust value iteration for \texttt{s}-rectangular robust Markov Decision Processes (MDPs) with a time complexity comparable to standard (non-robust) MDPs which is significantly faster than any existing method. We do so by deriving the optimal robust Bellman operator in concrete forms using our...
[ { "created": "Tue, 31 Jan 2023 13:54:23 GMT", "version": "v1" } ]
2023-02-01
[ [ "Kumar", "Navdeep", "" ], [ "Levy", "Kfir", "" ], [ "Wang", "Kaixin", "" ], [ "Mannor", "Shie", "" ] ]
We present an efficient robust value iteration for \texttt{s}-rectangular robust Markov Decision Processes (MDPs) with a time complexity comparable to standard (non-robust) MDPs which is significantly faster than any existing method. We do so by deriving the optimal robust Bellman operator in concrete forms using our $...
1312.5434
Xiaochuan Zhao
Xiaochuan Zhao and Ali H. Sayed
Asynchronous Adaptation and Learning over Networks --- Part I: Modeling and Stability Analysis
40 pages, 6 figures
null
null
null
cs.SY cs.IT cs.LG math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work and the supporting Parts II [2] and III [3], we provide a rather detailed analysis of the stability and performance of asynchronous strategies for solving distributed optimization and adaptation problems over networks. We examine asynchronous networks that are subject to fairly general sources of uncerta...
[ { "created": "Thu, 19 Dec 2013 08:29:57 GMT", "version": "v1" }, { "created": "Sun, 27 Jul 2014 01:00:16 GMT", "version": "v2" }, { "created": "Tue, 16 Dec 2014 08:16:46 GMT", "version": "v3" } ]
2014-12-17
[ [ "Zhao", "Xiaochuan", "" ], [ "Sayed", "Ali H.", "" ] ]
In this work and the supporting Parts II [2] and III [3], we provide a rather detailed analysis of the stability and performance of asynchronous strategies for solving distributed optimization and adaptation problems over networks. We examine asynchronous networks that are subject to fairly general sources of uncertain...
2007.02758
Omar Sharif
Eftekhar Hossain, Omar Sharif and Mohammed Moshiul Hoque
Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes
12 pages, ICACIE 2020, Will be published by Advances in Intelligent Systems and Computing (AISC) series of Springer
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Recently, sentiment polarity detection has increased attention to NLP researchers due to the massive availability of customer's opinions or reviews in the online platform. Due to the continued expansion of e-commerce sites, the rate of purchase of various products, including books, are growing enormously among the pe...
[ { "created": "Mon, 6 Jul 2020 13:58:51 GMT", "version": "v1" } ]
2020-07-07
[ [ "Hossain", "Eftekhar", "" ], [ "Sharif", "Omar", "" ], [ "Hoque", "Mohammed Moshiul", "" ] ]
Recently, sentiment polarity detection has increased attention to NLP researchers due to the massive availability of customer's opinions or reviews in the online platform. Due to the continued expansion of e-commerce sites, the rate of purchase of various products, including books, are growing enormously among the peop...
2008.05782
Volodymyr Leno
V. Leno, A. Augusto, M. Dumas, M. La Rosa, F. Maggi, A. Polyvyanyy
Identifying candidate routines for Robotic Process Automation from unsegmented UI logs
International Conference on Process Mining 2020
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic Process Automation (RPA) is a technology to develop software bots that automate repetitive sequences of interactions between users and software applications (a.k.a. routines). To take full advantage of this technology, organizations need to identify and to scope their routines. This is a challenging endeavor ...
[ { "created": "Thu, 13 Aug 2020 09:58:40 GMT", "version": "v1" }, { "created": "Thu, 27 Aug 2020 01:16:10 GMT", "version": "v2" } ]
2020-08-28
[ [ "Leno", "V.", "" ], [ "Augusto", "A.", "" ], [ "Dumas", "M.", "" ], [ "La Rosa", "M.", "" ], [ "Maggi", "F.", "" ], [ "Polyvyanyy", "A.", "" ] ]
Robotic Process Automation (RPA) is a technology to develop software bots that automate repetitive sequences of interactions between users and software applications (a.k.a. routines). To take full advantage of this technology, organizations need to identify and to scope their routines. This is a challenging endeavor in...
1708.07808
Cagdas Ulas
Cagdas Ulas, Christine Preibisch, Jonathan Sperl, Thomas Pyka, Jayashree Kalpathy-Cramer, Bjoern Menze
Accelerated Reconstruction of Perfusion-Weighted MRI Enforcing Jointly Local and Nonlocal Spatio-temporal Constraints
Submission to IEEE Transactions on Medical Imaging (August 2017)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravascular paramagnetic contrast agent (CA). Due to a preference for high temporal and spatial resolution in many applications, this modality c...
[ { "created": "Fri, 25 Aug 2017 16:52:04 GMT", "version": "v1" } ]
2017-08-28
[ [ "Ulas", "Cagdas", "" ], [ "Preibisch", "Christine", "" ], [ "Sperl", "Jonathan", "" ], [ "Pyka", "Thomas", "" ], [ "Kalpathy-Cramer", "Jayashree", "" ], [ "Menze", "Bjoern", "" ] ]
Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravascular paramagnetic contrast agent (CA). Due to a preference for high temporal and spatial resolution in many applications, this modality cou...
1906.02729
Nilesh Kulkarni
Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta
3D-RelNet: Joint Object and Relational Network for 3D Prediction
Project page: https://nileshkulkarni.github.io/relative3d/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an approach to predict the 3D shape and pose for the objects present in a scene. Existing learning based methods that pursue this goal make independent predictions per object, and do not leverage the relationships amongst them. We argue that reasoning about these relationships is crucial, and present an ap...
[ { "created": "Thu, 6 Jun 2019 17:50:48 GMT", "version": "v1" }, { "created": "Tue, 27 Aug 2019 17:49:01 GMT", "version": "v2" }, { "created": "Thu, 5 Mar 2020 04:10:25 GMT", "version": "v3" } ]
2020-03-06
[ [ "Kulkarni", "Nilesh", "" ], [ "Misra", "Ishan", "" ], [ "Tulsiani", "Shubham", "" ], [ "Gupta", "Abhinav", "" ] ]
We propose an approach to predict the 3D shape and pose for the objects present in a scene. Existing learning based methods that pursue this goal make independent predictions per object, and do not leverage the relationships amongst them. We argue that reasoning about these relationships is crucial, and present an appr...
2312.10600
Yixin Zhang
Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Deep neural networks (DNNs) have been deployed for many image segmentation tasks and achieved outstanding performance. However, preparing a dataset for training segmentation DNNs is laborious and costly since typically pixel-level annotations are provided for each object of interest. To alleviate this issue, one can ...
[ { "created": "Sun, 17 Dec 2023 04:26:42 GMT", "version": "v1" }, { "created": "Wed, 20 Dec 2023 22:53:23 GMT", "version": "v2" } ]
2023-12-22
[ [ "Zhang", "Yixin", "" ], [ "Zhao", "Shen", "" ], [ "Gu", "Hanxue", "" ], [ "Mazurowski", "Maciej A.", "" ] ]
Deep neural networks (DNNs) have been deployed for many image segmentation tasks and achieved outstanding performance. However, preparing a dataset for training segmentation DNNs is laborious and costly since typically pixel-level annotations are provided for each object of interest. To alleviate this issue, one can pr...
2209.08235
Xindi Wang
Jinjing Wang, Xindi Wang
Technical Report for Trend Prediction Based Intelligent UAV Trajectory Planning for Large-scale Dynamic Scenarios
null
null
null
null
cs.NI
http://creativecommons.org/publicdomain/zero/1.0/
The unmanned aerial vehicle (UAV)-enabled communication technology is regarded as an efficient and effective solution for some special application scenarios where existing terrestrial infrastructures are overloaded to provide reliable services. To maximize the utility of the UAV-enabled system while meeting the QoS a...
[ { "created": "Sat, 17 Sep 2022 03:46:23 GMT", "version": "v1" } ]
2022-09-20
[ [ "Wang", "Jinjing", "" ], [ "Wang", "Xindi", "" ] ]
The unmanned aerial vehicle (UAV)-enabled communication technology is regarded as an efficient and effective solution for some special application scenarios where existing terrestrial infrastructures are overloaded to provide reliable services. To maximize the utility of the UAV-enabled system while meeting the QoS and...
1709.02557
EPTCS
Lucas E. R. Fernandes (1), Vinicius Custodio (1), Gleifer V. Alves (1), Michael Fisher (2) ((1) UTFPR, Ponta Grossa, Parana, Brazil, (2) University of Liverpool, Liverpool, United Kingdom)
A Rational Agent Controlling an Autonomous Vehicle: Implementation and Formal Verification
In Proceedings FVAV 2017, arXiv:1709.02126
EPTCS 257, 2017, pp. 35-42
10.4204/EPTCS.257.5
null
cs.LO cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development and deployment of Autonomous Vehicles (AVs) on our roads is not only realistic in the near future but can also bring significant benefits. In particular, it can potentially solve several problems relating to vehicles and traffic, for instance: (i) possible reduction of traffic congestion, with the con...
[ { "created": "Fri, 8 Sep 2017 06:35:30 GMT", "version": "v1" } ]
2017-09-11
[ [ "Fernandes", "Lucas E. R.", "" ], [ "Custodio", "Vinicius", "" ], [ "Alves", "Gleifer V.", "" ], [ "Fisher", "Michael", "" ] ]
The development and deployment of Autonomous Vehicles (AVs) on our roads is not only realistic in the near future but can also bring significant benefits. In particular, it can potentially solve several problems relating to vehicles and traffic, for instance: (i) possible reduction of traffic congestion, with the conse...
2009.03268
Teng Liu
Hong Shu, Teng Liu, Xingyu Mu, Dongpu Cao
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
10 pages 12 figures
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles. This paper constructs a transfer deep reinforcement learning framework to transform the driving tasks in inter-section environments. The driving missions at the un-signalized intersection are cast into a left turn,...
[ { "created": "Mon, 7 Sep 2020 17:34:01 GMT", "version": "v1" }, { "created": "Sat, 10 Oct 2020 14:16:31 GMT", "version": "v2" } ]
2020-10-13
[ [ "Shu", "Hong", "" ], [ "Liu", "Teng", "" ], [ "Mu", "Xingyu", "" ], [ "Cao", "Dongpu", "" ] ]
Knowledge transfer is a promising concept to achieve real-time decision-making for autonomous vehicles. This paper constructs a transfer deep reinforcement learning framework to transform the driving tasks in inter-section environments. The driving missions at the un-signalized intersection are cast into a left turn, r...
1102.4241
Petros Zimourtopoulos E
Nikolitsa Yannopoulou, Petros Zimourtopoulos
Support of Interactive 3D/4D Presentations by the Very First Ever Made Virtual Laboratories of Antennas
Inadequately justified rejection (with reviewers' grades: [4, 4, 3, 4] + [4, 4, 4, 4] + [2, 4, 4, 4] out of 3 x [5, 5, 5, 5]) from publication to the Proceedings of 21st International Conference Radioelektronika 2011, April 19-20, Brno, Czech Republic - No changes in the paper since [v1] Mon, 21 Feb 2011 14:52:...
FunkTechnikPlus # Journal, Issue 3 - Year 1, 31 January 2014, v1, 7-18, otoiser ftp#j
null
null
cs.OH physics.comp-ph
http://creativecommons.org/licenses/by/3.0/
Based on the experience we have gained so far, as independent reviewers of Radioengineering journal, we thought that may be proved useful to publicly share with the interested author, especially the young one, some practical implementations of our ideas for the interactive representation of data using 3D/4D movement ...
[ { "created": "Mon, 21 Feb 2011 14:52:34 GMT", "version": "v1" }, { "created": "Thu, 17 Mar 2011 17:45:27 GMT", "version": "v2" }, { "created": "Wed, 17 Oct 2012 09:18:07 GMT", "version": "v3" } ]
2015-06-03
[ [ "Yannopoulou", "Nikolitsa", "" ], [ "Zimourtopoulos", "Petros", "" ] ]
Based on the experience we have gained so far, as independent reviewers of Radioengineering journal, we thought that may be proved useful to publicly share with the interested author, especially the young one, some practical implementations of our ideas for the interactive representation of data using 3D/4D movement an...
2104.06820
Utkarsh Ojha
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
Few-shot Image Generation via Cross-domain Correspondence
CVPR 2021
null
null
null
cs.CV cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting. In this work, we seek to utilize a large source domain for pretraining and transfer the diversity information from source to target. We propose to preserve the relative similarities an...
[ { "created": "Tue, 13 Apr 2021 17:59:35 GMT", "version": "v1" } ]
2021-04-15
[ [ "Ojha", "Utkarsh", "" ], [ "Li", "Yijun", "" ], [ "Lu", "Jingwan", "" ], [ "Efros", "Alexei A.", "" ], [ "Lee", "Yong Jae", "" ], [ "Shechtman", "Eli", "" ], [ "Zhang", "Richard", "" ] ]
Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting. In this work, we seek to utilize a large source domain for pretraining and transfer the diversity information from source to target. We propose to preserve the relative similarities and ...
2305.12173
Simon Jeanteur
Simon Jeanteur, Laura Kov\'acs, Matteo Maffei and Michael Rawson
CryptoVampire: Automated Reasoning for the Complete Symbolic Attacker Cryptographic Model
null
null
null
null
cs.CR cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cryptographic protocols are hard to design and prove correct, as witnessed by the ever-growing list of attacks even on protocol standards. Symbolic models of cryptography enable automated formal security proofs of such protocols against an idealized model, which abstracts away from the algebraic properties of cryptog...
[ { "created": "Sat, 20 May 2023 11:26:51 GMT", "version": "v1" }, { "created": "Fri, 5 Apr 2024 14:45:53 GMT", "version": "v2" } ]
2024-04-08
[ [ "Jeanteur", "Simon", "" ], [ "Kovács", "Laura", "" ], [ "Maffei", "Matteo", "" ], [ "Rawson", "Michael", "" ] ]
Cryptographic protocols are hard to design and prove correct, as witnessed by the ever-growing list of attacks even on protocol standards. Symbolic models of cryptography enable automated formal security proofs of such protocols against an idealized model, which abstracts away from the algebraic properties of cryptogra...
2212.10166
Jade Ma\"i Cock
Jade Ma\"i Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja K\"aser
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling
Accepted as a full paper at LAK 2023: The 13th International Learning Analytics and Knowledge Conference, 13-17 of March 2023, Arlington
null
10.1145/3576050.3576149
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithms deployed in education can shape the learning experience and success of a student. It is therefore important to understand whether and how such algorithms might create inequalities or amplify existing biases. In this paper, we analyze the fairness of models which use behavioral data to identify at-risk stud...
[ { "created": "Tue, 20 Dec 2022 11:09:11 GMT", "version": "v1" } ]
2022-12-21
[ [ "Cock", "Jade Maï", "" ], [ "Bilal", "Muhammad", "" ], [ "Davis", "Richard", "" ], [ "Marras", "Mirko", "" ], [ "Käser", "Tanja", "" ] ]
Algorithms deployed in education can shape the learning experience and success of a student. It is therefore important to understand whether and how such algorithms might create inequalities or amplify existing biases. In this paper, we analyze the fairness of models which use behavioral data to identify at-risk studen...
1812.04293
Hien Truong
Kumar Sharad, Giorgia Azzurra Marson, Hien Thi Thu Truong, Ghassan Karame
On the Security of Randomized Defenses Against Adversarial Samples
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Deep Learning has been shown to be particularly vulnerable to adversarial samples. To combat adversarial strategies, numerous defensive techniques have been proposed. Among these, a promising approach is to use randomness in order to make the classification process unpredictable and presumably harder for the adversar...
[ { "created": "Tue, 11 Dec 2018 09:34:29 GMT", "version": "v1" }, { "created": "Wed, 8 May 2019 13:14:29 GMT", "version": "v2" }, { "created": "Wed, 11 Mar 2020 15:49:38 GMT", "version": "v3" }, { "created": "Mon, 16 Mar 2020 22:03:45 GMT", "version": "v4" } ]
2020-03-18
[ [ "Sharad", "Kumar", "" ], [ "Marson", "Giorgia Azzurra", "" ], [ "Truong", "Hien Thi Thu", "" ], [ "Karame", "Ghassan", "" ] ]
Deep Learning has been shown to be particularly vulnerable to adversarial samples. To combat adversarial strategies, numerous defensive techniques have been proposed. Among these, a promising approach is to use randomness in order to make the classification process unpredictable and presumably harder for the adversary ...
1606.06047
Harmeet Singh
Harmeet Singh
Contravening Esotery: Cryptanalysis of Knapsack Cipher using Genetic Algorithms
http://www.ijcaonline.org/archives/volume140/number6/24599-2016909333, 2016
null
null
null
cs.CR cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cryptanalysis of knapsack cipher is a fascinating problem which has eluded the computing fraternity for decades. However, in most of the cases either the time complexity of the proposed algorithm is colossal or an insufficient number of samples have been taken for verification. The present work proposes a Genetic Alg...
[ { "created": "Mon, 20 Jun 2016 10:04:05 GMT", "version": "v1" } ]
2016-06-21
[ [ "Singh", "Harmeet", "" ] ]
Cryptanalysis of knapsack cipher is a fascinating problem which has eluded the computing fraternity for decades. However, in most of the cases either the time complexity of the proposed algorithm is colossal or an insufficient number of samples have been taken for verification. The present work proposes a Genetic Algor...
2205.12520
Weijun Gao
Chong Han, Weijun Gao, Nan Yang, and Josep M. Jornet
Molecular Absorption Effect: A Double-edged Sword of Terahertz Communications
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Communications in the terahertz band (THz) (0.1--10~THz) have been regarded as a promising technology for future 6G and beyond wireless systems, to overcome the challenges of evergrowing wireless data traffic and crowded spectrum. As the frequency increases from the microwave band to the THz band, new spectrum featur...
[ { "created": "Wed, 25 May 2022 06:20:58 GMT", "version": "v1" } ]
2022-05-26
[ [ "Han", "Chong", "" ], [ "Gao", "Weijun", "" ], [ "Yang", "Nan", "" ], [ "Jornet", "Josep M.", "" ] ]
Communications in the terahertz band (THz) (0.1--10~THz) have been regarded as a promising technology for future 6G and beyond wireless systems, to overcome the challenges of evergrowing wireless data traffic and crowded spectrum. As the frequency increases from the microwave band to the THz band, new spectrum features...
1803.02489
Vahid Ahmadi
Vahid Ahmadi
Deforestation Prediction Using Neural Networks and Satellite Imagery in a Spatial Information System
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deforestation, as one of the challenging environmental problems in the world, has been recorded the most serious threat to environmental diversity and one of the main components of land-use change. In this paper, we investigate spatial distribution of deforestation using artificial neural networks and satellite image...
[ { "created": "Wed, 7 Mar 2018 00:35:02 GMT", "version": "v1" }, { "created": "Tue, 25 Dec 2018 23:59:45 GMT", "version": "v2" } ]
2018-12-27
[ [ "Ahmadi", "Vahid", "" ] ]
Deforestation, as one of the challenging environmental problems in the world, has been recorded the most serious threat to environmental diversity and one of the main components of land-use change. In this paper, we investigate spatial distribution of deforestation using artificial neural networks and satellite imagery...
2308.16185
Antonio Loquercio
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
Learning Vision-based Pursuit-Evasion Robot Policies
Includes Supplementary. Project webpage at https://abajcsy.github.io/vision-based-pursuit/
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Learning strategic robot behavior -- like that required in pursuit-evasion interactions -- under real-world constraints is extremely challenging. It requires exploiting the dynamics of the interaction, and planning through both physical state and latent intent uncertainty. In this paper, we transform this intractable...
[ { "created": "Wed, 30 Aug 2023 17:59:05 GMT", "version": "v1" } ]
2023-08-31
[ [ "Bajcsy", "Andrea", "" ], [ "Loquercio", "Antonio", "" ], [ "Kumar", "Ashish", "" ], [ "Malik", "Jitendra", "" ] ]
Learning strategic robot behavior -- like that required in pursuit-evasion interactions -- under real-world constraints is extremely challenging. It requires exploiting the dynamics of the interaction, and planning through both physical state and latent intent uncertainty. In this paper, we transform this intractable p...
1807.04181
Martin Wilhelm
Martin Wilhelm
On error representation in exact-decisions number types
null
null
null
null
cs.CG cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accuracy-driven computation is a strategy widely used in exact-decisions number types for robust geometric algorithms. This work provides an overview on the usage of error bounds in accuracy-driven computation, compares different approaches on the representation and computation of these error bounds and points out so...
[ { "created": "Wed, 11 Jul 2018 15:01:39 GMT", "version": "v1" } ]
2018-07-12
[ [ "Wilhelm", "Martin", "" ] ]
Accuracy-driven computation is a strategy widely used in exact-decisions number types for robust geometric algorithms. This work provides an overview on the usage of error bounds in accuracy-driven computation, compares different approaches on the representation and computation of these error bounds and points out some...
1809.00066
Yova Kementchedjhieva
Yova Kementchedjhieva and Adam Lopez
Indicatements that character language models learn English morpho-syntactic units and regularities
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Character language models have access to surface morphological patterns, but it is not clear whether or how they learn abstract morphological regularities. We instrument a character language model with several probes, finding that it can develop a specific unit to identify word boundaries and, by extension, morpheme ...
[ { "created": "Fri, 31 Aug 2018 21:27:54 GMT", "version": "v1" } ]
2018-09-05
[ [ "Kementchedjhieva", "Yova", "" ], [ "Lopez", "Adam", "" ] ]
Character language models have access to surface morphological patterns, but it is not clear whether or how they learn abstract morphological regularities. We instrument a character language model with several probes, finding that it can develop a specific unit to identify word boundaries and, by extension, morpheme bo...
2106.00014
Mircea Andrecut Dr
M. Andrecut
Diffusion Self-Organizing Map on the Hypersphere
10 pages, 4 figures
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We discuss a diffusion based implementation of the self-organizing map on the unit hypersphere. We show that this approach can be efficiently implemented using just linear algebra methods, we give a python numpy implementation, and we illustrate the approach using the well known MNIST dataset.
[ { "created": "Mon, 31 May 2021 16:27:50 GMT", "version": "v1" } ]
2021-06-02
[ [ "Andrecut", "M.", "" ] ]
We discuss a diffusion based implementation of the self-organizing map on the unit hypersphere. We show that this approach can be efficiently implemented using just linear algebra methods, we give a python numpy implementation, and we illustrate the approach using the well known MNIST dataset.
cs/0703006
Jingchao Chen
Jing-Chao Chen
XORSAT: An Efficient Algorithm for the DIMACS 32-bit Parity Problem
null
null
null
null
cs.DS
null
The DIMACS 32-bit parity problem is a satisfiability (SAT) problem hard to solve. So far, EqSatz by Li is the only solver which can solve this problem. However, This solver is very slow. It is reported that it spent 11855 seconds to solve a par32-5 instance on a Maxintosh G3 300 MHz. The paper introduces a new solver...
[ { "created": "Fri, 2 Mar 2007 01:38:16 GMT", "version": "v1" } ]
2007-05-23
[ [ "Chen", "Jing-Chao", "" ] ]
The DIMACS 32-bit parity problem is a satisfiability (SAT) problem hard to solve. So far, EqSatz by Li is the only solver which can solve this problem. However, This solver is very slow. It is reported that it spent 11855 seconds to solve a par32-5 instance on a Maxintosh G3 300 MHz. The paper introduces a new solver, ...
1912.04042
John Duchi
Hilal Asi and John Duchi and Omid Javidbakht
Element Level Differential Privacy: The Right Granularity of Privacy
34 pages, 5 figures
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differential Privacy (DP) provides strong guarantees on the risk of compromising a user's data in statistical learning applications, though these strong protections make learning challenging and may be too stringent for some use cases. To address this, we propose element level differential privacy, which extends diff...
[ { "created": "Thu, 5 Dec 2019 23:05:54 GMT", "version": "v1" } ]
2019-12-10
[ [ "Asi", "Hilal", "" ], [ "Duchi", "John", "" ], [ "Javidbakht", "Omid", "" ] ]
Differential Privacy (DP) provides strong guarantees on the risk of compromising a user's data in statistical learning applications, though these strong protections make learning challenging and may be too stringent for some use cases. To address this, we propose element level differential privacy, which extends differ...
2407.02336
Adrian Rebmann
Adrian Rebmann, Timotheus Kampik, Carl Corea, Han van der Aa
Mining Constraints from Reference Process Models for Detecting Best-Practice Violations in Event Log
Preprint submitted to Information Systems
null
null
null
cs.SE cs.DB
http://creativecommons.org/licenses/by/4.0/
Detecting undesired process behavior is one of the main tasks of process mining and various conformance-checking techniques have been developed to this end. These techniques typically require a normative process model as input, specifically designed for the processes to be analyzed. Such models are rarely available, ...
[ { "created": "Tue, 2 Jul 2024 15:05:37 GMT", "version": "v1" } ]
2024-07-03
[ [ "Rebmann", "Adrian", "" ], [ "Kampik", "Timotheus", "" ], [ "Corea", "Carl", "" ], [ "van der Aa", "Han", "" ] ]
Detecting undesired process behavior is one of the main tasks of process mining and various conformance-checking techniques have been developed to this end. These techniques typically require a normative process model as input, specifically designed for the processes to be analyzed. Such models are rarely available, th...
2306.17172
Bashir Sadiq Mr
Bashir Olaniyi Sadiq, Muhammed Yusuf Abiodun, Sikiru Olayinka Zakariyya, and Mohammed Dahiru Buhari
FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System
KIU Journal of Science, Engineering and Technology (2023)
null
10.59568/KJSET-2023-2-1-02
null
cs.CV
http://creativecommons.org/publicdomain/zero/1.0/
The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with t...
[ { "created": "Thu, 15 Jun 2023 10:14:44 GMT", "version": "v1" } ]
2023-07-03
[ [ "Sadiq", "Bashir Olaniyi", "" ], [ "Abiodun", "Muhammed Yusuf", "" ], [ "Zakariyya", "Sikiru Olayinka", "" ], [ "Buhari", "Mohammed Dahiru", "" ] ]
The major goal of this paper is to use image enhancement techniques for enhancing and extracting data in FANET applications to improve the efficiency of surveillance. The proposed conceptual system design can improve the likelihood of FANET operations in oil pipeline surveillance, and sports and media coverage with the...
1701.02795
Zeshan Hussain
Hardie Cate and Zeshan Hussain
Bidirectional American Sign Language to English Translation
7 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We outline a bidirectional translation system that converts sentences from American Sign Language (ASL) to English, and vice versa. To perform machine translation between ASL and English, we utilize a generative approach. Specifically, we employ an adjustment to the IBM word-alignment model 1 (IBM WAM1), where we def...
[ { "created": "Tue, 10 Jan 2017 21:45:56 GMT", "version": "v1" } ]
2017-01-12
[ [ "Cate", "Hardie", "" ], [ "Hussain", "Zeshan", "" ] ]
We outline a bidirectional translation system that converts sentences from American Sign Language (ASL) to English, and vice versa. To perform machine translation between ASL and English, we utilize a generative approach. Specifically, we employ an adjustment to the IBM word-alignment model 1 (IBM WAM1), where we defin...
1707.07548
Yinghao Huang
Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V. Gehler, Ijaz Akhter, Michael J. Black
Towards Accurate Markerless Human Shape and Pose Estimation over Time
10 pages, 6 figures, 5 tables, published in 3DV-2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios. Here we propose a fully automatic method that given multi-view video, estimates 3D human motion and body shape. We take recent SMPLify \cite{bogo201...
[ { "created": "Mon, 24 Jul 2017 13:31:37 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2017 19:28:39 GMT", "version": "v2" }, { "created": "Mon, 18 Dec 2017 09:57:36 GMT", "version": "v3" }, { "created": "Wed, 20 Dec 2017 13:07:03 GMT", "version": "v4" }, { "c...
2018-05-01
[ [ "Huang", "Yinghao", "" ], [ "Bogo", "Federica", "" ], [ "Lassner", "Christoph", "" ], [ "Kanazawa", "Angjoo", "" ], [ "Gehler", "Peter V.", "" ], [ "Akhter", "Ijaz", "" ], [ "Black", "Michael J.", "" ] ]
Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios. Here we propose a fully automatic method that given multi-view video, estimates 3D human motion and body shape. We take recent SMPLify \cite{bogo2016k...
1102.2969
Gook-Pil Roh
Gook-Pil Roh, Seung-won Hwang, and Byoung-Kee Yi
Efficient and scalable geometric hashing method for searching protein 3D structures
9 pages, 1 figures
null
null
null
cs.DB q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the structural databases continue to expand, efficient methods are required to search similar structures of the query structure from the database. There are many previous works about comparing protein 3D structures and scanning the database with a query structure. However, they generally have limitations on practi...
[ { "created": "Tue, 15 Feb 2011 05:37:34 GMT", "version": "v1" } ]
2011-02-16
[ [ "Roh", "Gook-Pil", "" ], [ "Hwang", "Seung-won", "" ], [ "Yi", "Byoung-Kee", "" ] ]
As the structural databases continue to expand, efficient methods are required to search similar structures of the query structure from the database. There are many previous works about comparing protein 3D structures and scanning the database with a query structure. However, they generally have limitations on practica...
2402.06892
Masanari Kimura
Masanari Kimura
Understanding Test-Time Augmentation
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Test-Time Augmentation (TTA) is a very powerful heuristic that takes advantage of data augmentation during testing to produce averaged output. Despite the experimental effectiveness of TTA, there is insufficient discussion of its theoretical aspects. In this paper, we aim to give theoretical guarantees for TTA and cl...
[ { "created": "Sat, 10 Feb 2024 06:49:08 GMT", "version": "v1" } ]
2024-02-13
[ [ "Kimura", "Masanari", "" ] ]
Test-Time Augmentation (TTA) is a very powerful heuristic that takes advantage of data augmentation during testing to produce averaged output. Despite the experimental effectiveness of TTA, there is insufficient discussion of its theoretical aspects. In this paper, we aim to give theoretical guarantees for TTA and clar...
2203.16942
Xu Chen
Weiqi Shao and Xu Chen and Long Xia and Jiashu Zhao and Dawei Yin
Sequential Recommendation with User Evolving Preference Decomposition
sequential recommendation
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Modeling user sequential behaviors has recently attracted increasing attention in the recommendation domain. Existing methods mostly assume coherent preference in the same sequence. However, user personalities are volatile and easily changed, and there can be multiple mixed preferences underlying user behaviors. To s...
[ { "created": "Thu, 31 Mar 2022 10:57:59 GMT", "version": "v1" } ]
2022-04-01
[ [ "Shao", "Weiqi", "" ], [ "Chen", "Xu", "" ], [ "Xia", "Long", "" ], [ "Zhao", "Jiashu", "" ], [ "Yin", "Dawei", "" ] ]
Modeling user sequential behaviors has recently attracted increasing attention in the recommendation domain. Existing methods mostly assume coherent preference in the same sequence. However, user personalities are volatile and easily changed, and there can be multiple mixed preferences underlying user behaviors. To sol...
1710.03960
Gabriel Nivasch
David Eppstein, Sariel Har-Peled and Gabriel Nivasch
Grid peeling and the affine curve-shortening flow
18 pages, 11 figures. A preliminary version appeared in ALENEX 2018
Experimental Mathematics 29 (3): 306-316, 2020
10.1080/10586458.2018.1466379
null
cs.CG math.DG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study an experimentally-observed connection between two seemingly unrelated processes, one from computational geometry and the other from differential geometry. The first one (which we call "grid peeling") is the convex-layer decomposition of subsets $G\subset \mathbb Z^2$ of the integer grid, previo...
[ { "created": "Wed, 11 Oct 2017 08:37:39 GMT", "version": "v1" }, { "created": "Tue, 23 Jan 2018 11:24:55 GMT", "version": "v2" } ]
2020-08-14
[ [ "Eppstein", "David", "" ], [ "Har-Peled", "Sariel", "" ], [ "Nivasch", "Gabriel", "" ] ]
In this paper we study an experimentally-observed connection between two seemingly unrelated processes, one from computational geometry and the other from differential geometry. The first one (which we call "grid peeling") is the convex-layer decomposition of subsets $G\subset \mathbb Z^2$ of the integer grid, previous...
2302.05832
Tim Whitaker
Tim Whitaker, Darrell Whitley
Sparse Mutation Decompositions: Fine Tuning Deep Neural Networks with Subspace Evolution
8 Pages, 3 Figures
null
null
null
cs.NE cs.LG
http://creativecommons.org/licenses/by/4.0/
Neuroevolution is a promising area of research that combines evolutionary algorithms with neural networks. A popular subclass of neuroevolutionary methods, called evolution strategies, relies on dense noise perturbations to mutate networks, which can be sample inefficient and challenging for large models with million...
[ { "created": "Sun, 12 Feb 2023 01:27:26 GMT", "version": "v1" } ]
2023-02-14
[ [ "Whitaker", "Tim", "" ], [ "Whitley", "Darrell", "" ] ]
Neuroevolution is a promising area of research that combines evolutionary algorithms with neural networks. A popular subclass of neuroevolutionary methods, called evolution strategies, relies on dense noise perturbations to mutate networks, which can be sample inefficient and challenging for large models with millions ...
1010.2733
Talbot Hugues
Camille Couprie (LIGM), Leo Grady, Hugues Talbot (LIGM), Laurent Najman (LIGM)
Combinatorial Continuous Maximal Flows
26 pages
SIAM Journal on Imaging Sciences 4 (2011) 905-930
10.1137/100799186
null
cs.CV math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Maximum flow (and minimum cut) algorithms have had a strong impact on computer vision. In particular, graph cuts algorithms provide a mechanism for the discrete optimization of an energy functional which has been used in a variety of applications such as image segmentation, stereo, image stitching and texture synthes...
[ { "created": "Wed, 13 Oct 2010 19:08:02 GMT", "version": "v1" }, { "created": "Wed, 28 Dec 2011 07:26:41 GMT", "version": "v2" } ]
2011-12-30
[ [ "Couprie", "Camille", "", "LIGM" ], [ "Grady", "Leo", "", "LIGM" ], [ "Talbot", "Hugues", "", "LIGM" ], [ "Najman", "Laurent", "", "LIGM" ] ]
Maximum flow (and minimum cut) algorithms have had a strong impact on computer vision. In particular, graph cuts algorithms provide a mechanism for the discrete optimization of an energy functional which has been used in a variety of applications such as image segmentation, stereo, image stitching and texture synthesis...
2207.08426
Ryann Sim Wei Jian
Georgios Piliouras, Lillian Ratliff, Ryann Sim, Stratis Skoulakis
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games
To appear in SAGT 2022
null
null
null
cs.GT cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The study of learning in games has thus far focused primarily on normal form games. In contrast, our understanding of learning in extensive form games (EFGs) and particularly in EFGs with many agents lags far behind, despite them being closer in nature to many real world applications. We consider the natural class of...
[ { "created": "Mon, 18 Jul 2022 08:21:39 GMT", "version": "v1" } ]
2022-07-19
[ [ "Piliouras", "Georgios", "" ], [ "Ratliff", "Lillian", "" ], [ "Sim", "Ryann", "" ], [ "Skoulakis", "Stratis", "" ] ]
The study of learning in games has thus far focused primarily on normal form games. In contrast, our understanding of learning in extensive form games (EFGs) and particularly in EFGs with many agents lags far behind, despite them being closer in nature to many real world applications. We consider the natural class of N...
1905.09211
Berkan Demirel
Berkan Demirel, Omer Ozdil, Yunus Emre Esin, Safak Ozturk
Segmentation-Aware Hyperspectral Image Classification
To appear at International Geoscience and Remote Sensing Symposium (IGARSS) 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose an unified hyperspectral image classification method which takes three-dimensional hyperspectral data cube as an input and produces a classification map. In the proposed method, a deep neural network which uses spectral and spatial information together with residual connections, and pixel af...
[ { "created": "Wed, 22 May 2019 16:03:01 GMT", "version": "v1" } ]
2019-05-23
[ [ "Demirel", "Berkan", "" ], [ "Ozdil", "Omer", "" ], [ "Esin", "Yunus Emre", "" ], [ "Ozturk", "Safak", "" ] ]
In this paper, we propose an unified hyperspectral image classification method which takes three-dimensional hyperspectral data cube as an input and produces a classification map. In the proposed method, a deep neural network which uses spectral and spatial information together with residual connections, and pixel affi...
1501.01202
Christopher Mattern
Christopher Mattern
On Probability Estimation by Exponential Smoothing
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probability estimation is essential for every statistical data compression algorithm. In practice probability estimation should be adaptive, recent observations should receive a higher weight than older observations. We present a probability estimation method based on exponential smoothing that satisfies this require...
[ { "created": "Tue, 6 Jan 2015 15:31:53 GMT", "version": "v1" }, { "created": "Fri, 9 Jan 2015 11:53:51 GMT", "version": "v2" } ]
2015-01-12
[ [ "Mattern", "Christopher", "" ] ]
Probability estimation is essential for every statistical data compression algorithm. In practice probability estimation should be adaptive, recent observations should receive a higher weight than older observations. We present a probability estimation method based on exponential smoothing that satisfies this requireme...
2106.14699
Johan \"Ofverstedt
Johan \"Ofverstedt, Joakim Lindblad, Nata\v{s}a Sladoje
Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
7 pages, 4 figures, 2 tables. The article is under consideration at Pattern Recognition Letters
Pattern Recognition Letters, Vol. 159, pp. 196-203, 2022
10.1016/j.patrec.2022.05.022
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal image alignment is the process of finding spatial correspondences between images formed by different imaging techniques or under different conditions, to facilitate heterogeneous data fusion and correlative analysis. The information-theoretic concept of mutual information (MI) is widely used as a similarit...
[ { "created": "Mon, 28 Jun 2021 13:27:05 GMT", "version": "v1" } ]
2022-07-01
[ [ "Öfverstedt", "Johan", "" ], [ "Lindblad", "Joakim", "" ], [ "Sladoje", "Nataša", "" ] ]
Multimodal image alignment is the process of finding spatial correspondences between images formed by different imaging techniques or under different conditions, to facilitate heterogeneous data fusion and correlative analysis. The information-theoretic concept of mutual information (MI) is widely used as a similarity ...
1910.10853
Chunlei Liu
Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David Doermann
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Published in CVPR2019
]Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 2691-2699
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapidly decreasing computation and memory cost has recently driven the success of many applications in the field of deep learning. Practical applications of deep learning in resource-limited hardware, such as embedded devices and smart phones, however, remain challenging. For binary convolutional networks, the re...
[ { "created": "Thu, 24 Oct 2019 00:24:30 GMT", "version": "v1" } ]
2019-10-25
[ [ "Liu", "Chunlei", "" ], [ "Ding", "Wenrui", "" ], [ "Xia", "Xin", "" ], [ "Zhang", "Baochang", "" ], [ "Gu", "Jiaxin", "" ], [ "Liu", "Jianzhuang", "" ], [ "Ji", "Rongrong", "" ], [ "Doermann", ...
The rapidly decreasing computation and memory cost has recently driven the success of many applications in the field of deep learning. Practical applications of deep learning in resource-limited hardware, such as embedded devices and smart phones, however, remain challenging. For binary convolutional networks, the reas...
2302.03088
Laura Stegner
David Porfirio, Laura Stegner, Maya Cakmak, Allison Saupp\'e, Aws Albarghouthi, Bilge Mutlu
Sketching Robot Programs On the Fly
Accepted at HRI '23, March 13-16, 2023, Stockholm, Sweden
null
10.1145/3568162.3576991
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Service robots for personal use in the home and the workplace require end-user development solutions for swiftly scripting robot tasks as the need arises. Many existing solutions preserve ease, efficiency, and convenience through simple programming interfaces or by restricting task complexity. Others facilitate metic...
[ { "created": "Mon, 6 Feb 2023 19:44:05 GMT", "version": "v1" } ]
2023-02-08
[ [ "Porfirio", "David", "" ], [ "Stegner", "Laura", "" ], [ "Cakmak", "Maya", "" ], [ "Sauppé", "Allison", "" ], [ "Albarghouthi", "Aws", "" ], [ "Mutlu", "Bilge", "" ] ]
Service robots for personal use in the home and the workplace require end-user development solutions for swiftly scripting robot tasks as the need arises. Many existing solutions preserve ease, efficiency, and convenience through simple programming interfaces or by restricting task complexity. Others facilitate meticul...
2112.05340
Alex Tamkin
Ananya Karthik, Mike Wu, Noah Goodman, Alex Tamkin
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
NeurIPS 2021 Workshop: Self-Supervised Learning - Theory and Practice
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contrastive learning has made considerable progress in computer vision, outperforming supervised pretraining on a range of downstream datasets. However, is contrastive learning the better choice in all situations? We demonstrate two cases where it is not. First, under sufficiently small pretraining budgets, supervise...
[ { "created": "Fri, 10 Dec 2021 05:19:32 GMT", "version": "v1" } ]
2021-12-13
[ [ "Karthik", "Ananya", "" ], [ "Wu", "Mike", "" ], [ "Goodman", "Noah", "" ], [ "Tamkin", "Alex", "" ] ]
Contrastive learning has made considerable progress in computer vision, outperforming supervised pretraining on a range of downstream datasets. However, is contrastive learning the better choice in all situations? We demonstrate two cases where it is not. First, under sufficiently small pretraining budgets, supervised ...
1404.4887
Christian Schulz
Yaroslav Akhremtsev, Peter Sanders, Christian Schulz
(Semi-)External Algorithms for Graph Partitioning and Clustering
null
null
null
null
cs.DS cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we develop semi-external and external memory algorithms for graph partitioning and clustering problems. Graph partitioning and clustering are key tools for processing and analyzing large complex networks. We address both problems in the (semi-)external model by adapting the size-constrained label propa...
[ { "created": "Fri, 18 Apr 2014 20:58:21 GMT", "version": "v1" }, { "created": "Mon, 22 Sep 2014 21:38:12 GMT", "version": "v2" } ]
2014-09-24
[ [ "Akhremtsev", "Yaroslav", "" ], [ "Sanders", "Peter", "" ], [ "Schulz", "Christian", "" ] ]
In this paper, we develop semi-external and external memory algorithms for graph partitioning and clustering problems. Graph partitioning and clustering are key tools for processing and analyzing large complex networks. We address both problems in the (semi-)external model by adapting the size-constrained label propaga...
1103.3190
Johnny Karout
Johnny Karout, Erik Agrell, Krzysztof Szczerba and Magnus Karlsson
Designing Power-Efficient Modulation Formats for Noncoherent Optical Systems
Submitted to Globecom 2011
Proc. Global Communications Conference (GlobeCom), Houston, TX, Dec. 2011 (best paper award)
10.1109/GLOCOM.2011.6133546
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We optimize modulation formats for the additive white Gaussian noise channel with a nonnegative input constraint, also known as the intensity-modulated direct detection channel, with and without confining them to a lattice structure. Our optimization criteria are the average electrical and optical power. The nonnegat...
[ { "created": "Sat, 12 Mar 2011 00:17:35 GMT", "version": "v1" } ]
2015-03-19
[ [ "Karout", "Johnny", "" ], [ "Agrell", "Erik", "" ], [ "Szczerba", "Krzysztof", "" ], [ "Karlsson", "Magnus", "" ] ]
We optimize modulation formats for the additive white Gaussian noise channel with a nonnegative input constraint, also known as the intensity-modulated direct detection channel, with and without confining them to a lattice structure. Our optimization criteria are the average electrical and optical power. The nonnegativ...
2111.02997
Shangtong Zhang
Shangtong Zhang, Remi Tachet, Romain Laroche
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
Journal of Machine Learning Research 2022
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we establish the global optimality and convergence rate of an off-policy actor critic algorithm in the tabular setting without using density ratio to correct the discrepancy between the state distribution of the behavior policy and that of the target policy. Our work goes beyond existing works on the o...
[ { "created": "Thu, 4 Nov 2021 16:48:45 GMT", "version": "v1" }, { "created": "Tue, 18 Oct 2022 13:05:59 GMT", "version": "v2" }, { "created": "Mon, 24 Oct 2022 17:52:33 GMT", "version": "v3" } ]
2022-10-25
[ [ "Zhang", "Shangtong", "" ], [ "Tachet", "Remi", "" ], [ "Laroche", "Romain", "" ] ]
In this paper, we establish the global optimality and convergence rate of an off-policy actor critic algorithm in the tabular setting without using density ratio to correct the discrepancy between the state distribution of the behavior policy and that of the target policy. Our work goes beyond existing works on the opt...
1802.02288
Xiaoling Hu
Caijun Zhong, Xiaoling Hu, Xiaoming Chen, Derrick Wing Kwan Ng and Zhaoyang Zhang
Spatial Modulation Assisted Multi-Antenna Non-Orthogonal Multiple Access
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-antenna non-orthogonal multiple access (NOMA) is a promising technique to significantly improve the spectral efficiency and support massive access, which has received considerable interests from academic and industry. This article first briefly introduces the basic idea of conventional multi-antenna NOMA techni...
[ { "created": "Wed, 7 Feb 2018 02:21:40 GMT", "version": "v1" } ]
2018-02-08
[ [ "Zhong", "Caijun", "" ], [ "Hu", "Xiaoling", "" ], [ "Chen", "Xiaoming", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Zhang", "Zhaoyang", "" ] ]
Multi-antenna non-orthogonal multiple access (NOMA) is a promising technique to significantly improve the spectral efficiency and support massive access, which has received considerable interests from academic and industry. This article first briefly introduces the basic idea of conventional multi-antenna NOMA techniqu...
2212.01618
Xin Kang
Huilin Wang, Xin Kang, Tieyan Li, Zhongding Lei, Cheng-Kang Chu, and Haiguang Wang
An Overview of Trust Standards for Communication Networks and Future Digital World
7 pages, 3 figures, Magazine paper under review
null
null
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of Information and Communication Technologies, trust has been applied more and more in various scenarios. At the same time, different organizations have published a series of trust frameworks to support the implementation of trust. There are also academic paper discussing about these trust standa...
[ { "created": "Sat, 3 Dec 2022 13:51:37 GMT", "version": "v1" } ]
2022-12-06
[ [ "Wang", "Huilin", "" ], [ "Kang", "Xin", "" ], [ "Li", "Tieyan", "" ], [ "Lei", "Zhongding", "" ], [ "Chu", "Cheng-Kang", "" ], [ "Wang", "Haiguang", "" ] ]
With the development of Information and Communication Technologies, trust has been applied more and more in various scenarios. At the same time, different organizations have published a series of trust frameworks to support the implementation of trust. There are also academic paper discussing about these trust standard...