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1608.03066
Benjamin Drayer
Benjamin Drayer and Thomas Brox
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach for object segmentation in videos that combines frame-level object detection with concepts from object tracking and motion segmentation. The approach extracts temporally consistent object tubes based on an off-the-shelf detector. Besides the class label for each tube, this provides a location p...
[ { "created": "Wed, 10 Aug 2016 07:46:56 GMT", "version": "v1" } ]
2016-08-11
[ [ "Drayer", "Benjamin", "" ], [ "Brox", "Thomas", "" ] ]
We present an approach for object segmentation in videos that combines frame-level object detection with concepts from object tracking and motion segmentation. The approach extracts temporally consistent object tubes based on an off-the-shelf detector. Besides the class label for each tube, this provides a location pri...
2211.08283
Ralf Klasing
Subhadeep Ranjan Dev, Sanjana Dey, Florent Foucaud, Ralf Klasing, Tuomo Lehtil\"a
The RED-BLUE SEPARATION problem on graphs
null
Theoretical Computer Science 970:114061, 2023
10.1016/j.tcs.2023.114061
null
cs.DM cs.DS math.CO
http://creativecommons.org/licenses/by/4.0/
We introduce the Red-Blue Separation problem on graphs, where we are given a graph $G=(V,E)$ whose vertices are colored either red or blue, and we want to select a (small) subset $S \subseteq V$, called red-blue separating set, such that for every red-blue pair of vertices, there is a vertex $s \in S$ whose closed ne...
[ { "created": "Tue, 15 Nov 2022 16:33:40 GMT", "version": "v1" } ]
2023-07-17
[ [ "Dev", "Subhadeep Ranjan", "" ], [ "Dey", "Sanjana", "" ], [ "Foucaud", "Florent", "" ], [ "Klasing", "Ralf", "" ], [ "Lehtilä", "Tuomo", "" ] ]
We introduce the Red-Blue Separation problem on graphs, where we are given a graph $G=(V,E)$ whose vertices are colored either red or blue, and we want to select a (small) subset $S \subseteq V$, called red-blue separating set, such that for every red-blue pair of vertices, there is a vertex $s \in S$ whose closed neig...
1911.03860
Jason Weston
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative dialogue models currently suffer from a number of problems which standard maximum likelihood training does not address. They tend to produce generations that (i) rely too much on copying from the context, (ii) contain repetitions within utterances, (iii) overuse frequent words, and (iv) at a deeper level, ...
[ { "created": "Sun, 10 Nov 2019 05:53:40 GMT", "version": "v1" }, { "created": "Wed, 6 May 2020 14:13:02 GMT", "version": "v2" } ]
2020-05-07
[ [ "Li", "Margaret", "" ], [ "Roller", "Stephen", "" ], [ "Kulikov", "Ilia", "" ], [ "Welleck", "Sean", "" ], [ "Boureau", "Y-Lan", "" ], [ "Cho", "Kyunghyun", "" ], [ "Weston", "Jason", "" ] ]
Generative dialogue models currently suffer from a number of problems which standard maximum likelihood training does not address. They tend to produce generations that (i) rely too much on copying from the context, (ii) contain repetitions within utterances, (iii) overuse frequent words, and (iv) at a deeper level, co...
2010.12416
Shuai Shao
Shuai Shao and Rui Xu and Yan-Jiang Wang and Weifeng Liu and Bao-Di Liu
SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, the attention mechanism contributes significantly to hypergraph based neural networks. However, these methods update the attention weights with the network propagating. That is to say, this type of attention mechanism is only suitable for deep learning-based methods while not applicable to the tradit...
[ { "created": "Fri, 23 Oct 2020 14:07:00 GMT", "version": "v1" } ]
2020-10-26
[ [ "Shao", "Shuai", "" ], [ "Xu", "Rui", "" ], [ "Wang", "Yan-Jiang", "" ], [ "Liu", "Weifeng", "" ], [ "Liu", "Bao-Di", "" ] ]
In recent years, the attention mechanism contributes significantly to hypergraph based neural networks. However, these methods update the attention weights with the network propagating. That is to say, this type of attention mechanism is only suitable for deep learning-based methods while not applicable to the traditio...
2308.14695
Mary S\'anchez-Gord\'on
Mary S\'anchez-Gord\'on, Ricardo Colomo-Palacios, Cathy Guevara-Vega, Antonio Qui\~na-Mera
The Effect of Stereotypes on Perceived Competence of Indigenous Software Practitioners: A Professional Photo
Accepted registered report at the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023)
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context: Potential employers can readily find job candidates' photos through various online sources such as former employers' websites or professional and social networks. The alignment or 'fit' between a candidate and an organization is inferred in online photos through dress style and presentations of self. On the ...
[ { "created": "Mon, 28 Aug 2023 16:38:27 GMT", "version": "v1" } ]
2023-08-29
[ [ "Sánchez-Gordón", "Mary", "" ], [ "Colomo-Palacios", "Ricardo", "" ], [ "Guevara-Vega", "Cathy", "" ], [ "Quiña-Mera", "Antonio", "" ] ]
Context: Potential employers can readily find job candidates' photos through various online sources such as former employers' websites or professional and social networks. The alignment or 'fit' between a candidate and an organization is inferred in online photos through dress style and presentations of self. On the ot...
2111.12878
Jiahui Huang
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
null
IEEE Transactions on Pattern Analysis and Machine Intelligence 2022
10.1109/TPAMI.2022.3164653
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps relating learned functions defined on the point clouds. Even though the ability to process non-rigid shapes is critical in various applications ranging from computer animation to 3D digitization, the literature sti...
[ { "created": "Thu, 25 Nov 2021 02:37:59 GMT", "version": "v1" }, { "created": "Fri, 1 Apr 2022 08:13:03 GMT", "version": "v2" } ]
2022-04-12
[ [ "Huang", "Jiahui", "" ], [ "Birdal", "Tolga", "" ], [ "Gojcic", "Zan", "" ], [ "Guibas", "Leonidas J.", "" ], [ "Hu", "Shi-Min", "" ] ]
We present SyNoRiM, a novel way to jointly register multiple non-rigid shapes by synchronizing the maps relating learned functions defined on the point clouds. Even though the ability to process non-rigid shapes is critical in various applications ranging from computer animation to 3D digitization, the literature still...
2103.05533
Daniel Lopes
Daniel Lopes, J\'essica Parente, Pedro Silva, Lic\'inio Roque, Penousal machado
Performing Creativity With Computational Tools
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
The introduction of new tools in people's workflow has always been promotive of new creative paths. This paper discusses the impact of using computational tools in the performance of creative tasks, especially focusing on graphic design. The study was driven by a grounded theory methodology, applied to a set of semi-...
[ { "created": "Tue, 9 Mar 2021 16:24:43 GMT", "version": "v1" }, { "created": "Wed, 10 Mar 2021 10:38:26 GMT", "version": "v2" } ]
2021-03-11
[ [ "Lopes", "Daniel", "" ], [ "Parente", "Jéssica", "" ], [ "Silva", "Pedro", "" ], [ "Roque", "Licínio", "" ], [ "machado", "Penousal", "" ] ]
The introduction of new tools in people's workflow has always been promotive of new creative paths. This paper discusses the impact of using computational tools in the performance of creative tasks, especially focusing on graphic design. The study was driven by a grounded theory methodology, applied to a set of semi-st...
2406.17641
Viktor Kaptelinin
Victor Kaptelinin, Suna Bensch, Thomas Hellstr\"om, Patrik Bj\"ornfot, and Shikhar Kumar
The experience of humans' and robots' mutual (im)politeness in enacted service scenarios: An empirical study
19 pages, 5 figures, 7 tables
null
null
null
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between an anthropomorphic "waiter" robot and two customers. The robot and one of the customers (acted out by a researcher) were following four d...
[ { "created": "Tue, 25 Jun 2024 15:24:08 GMT", "version": "v1" } ]
2024-06-26
[ [ "Kaptelinin", "Victor", "" ], [ "Bensch", "Suna", "" ], [ "Hellström", "Thomas", "" ], [ "Björnfot", "Patrik", "" ], [ "Kumar", "Shikhar", "" ] ]
The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between an anthropomorphic "waiter" robot and two customers. The robot and one of the customers (acted out by a researcher) were following four dif...
1911.06478
Mingi Ji
Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-Chul Moon
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
8 pages, 5 figures, AAAI
AAAI 2020
null
null
cs.LG cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies identified that sequential Recommendation is improved by the attention mechanism. By following this development, we propose Relation-Aware Kernelized Self-Attention (RKSA) adopting a self-attention mechanism of the Transformer with augmentation of a probabilistic model. The original self-attention of T...
[ { "created": "Fri, 15 Nov 2019 04:54:54 GMT", "version": "v1" } ]
2019-11-18
[ [ "Ji", "Mingi", "" ], [ "Joo", "Weonyoung", "" ], [ "Song", "Kyungwoo", "" ], [ "Kim", "Yoon-Yeong", "" ], [ "Moon", "Il-Chul", "" ] ]
Recent studies identified that sequential Recommendation is improved by the attention mechanism. By following this development, we propose Relation-Aware Kernelized Self-Attention (RKSA) adopting a self-attention mechanism of the Transformer with augmentation of a probabilistic model. The original self-attention of Tra...
1901.09486
Yonas Tadesse
Lokesh Saharan, Lianjun Wu, and Yonas Tadesse,
Modeling and Simulation of Robotic Finger Powered by Nylon Artificial Muscles- Equations with Simulink model
11 pages, 11 pages, this paper show the modeling equations and it has two figures. Simulation and Experimental results are to be submitted to Journal of Mechanism and Robotics (JMR). The detailed model and equations can be used for numerical simulation of other robotic fingers by utilizing any contractile actua...
null
null
null
cs.RO math.DS
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper shows a detailed modeling of three-link robotic finger that is actuated by nylon artificial muscles and a simulink model that can be used for numerical study of a robotic finger. The robotic hand prototype was recently demonstrated in recent publication Wu, L., Jung de Andrade, M., Saharan, L.,Rome, R., Ba...
[ { "created": "Mon, 28 Jan 2019 02:31:45 GMT", "version": "v1" } ]
2019-01-29
[ [ "Saharan", "Lokesh", "" ], [ "Wu", "Lianjun", "" ], [ "Tadesse", "Yonas", "" ] ]
This paper shows a detailed modeling of three-link robotic finger that is actuated by nylon artificial muscles and a simulink model that can be used for numerical study of a robotic finger. The robotic hand prototype was recently demonstrated in recent publication Wu, L., Jung de Andrade, M., Saharan, L.,Rome, R., Baug...
2302.05728
Muhammad Ahmed
Muhammad Ahmed, Anam Qureshi, Jawwad Ahmed Shamsi, Murk Marvi
Sequential Embedding-based Attentive (SEA) classifier for malware classification
null
2022 International Conference on Cyber Warfare and Security (ICCWS), Islamabad, Pakistan, 2022, pp. 28-35
10.1109/ICCWS56285.2022.9998431
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
The tremendous growth in smart devices has uplifted several security threats. One of the most prominent threats is malicious software also known as malware. Malware has the capability of corrupting a device and collapsing an entire network. Therefore, its early detection and mitigation are extremely important to avoi...
[ { "created": "Sat, 11 Feb 2023 15:48:16 GMT", "version": "v1" } ]
2023-02-14
[ [ "Ahmed", "Muhammad", "" ], [ "Qureshi", "Anam", "" ], [ "Shamsi", "Jawwad Ahmed", "" ], [ "Marvi", "Murk", "" ] ]
The tremendous growth in smart devices has uplifted several security threats. One of the most prominent threats is malicious software also known as malware. Malware has the capability of corrupting a device and collapsing an entire network. Therefore, its early detection and mitigation are extremely important to avoid ...
1907.05967
Hossein Kazemi
Hossein Kazemi, Majid Safari and Harald Haas
Multi-Hop Wireless Optical Backhauling for LiFi Attocell Networks: Bandwidth Scheduling and Power Control
36 pages, 21 figures, 1 table
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The backhaul of hundreds of light fidelity (LiFi) base stations (BSs) constitutes a major challenge. Indoor wireless optical backhauling is a novel approach whereby the interconnections between adjacent LiFi BSs are provided by way of directed line-of-sight (LOS) wireless infrared (IR) links. Building on the aforesai...
[ { "created": "Fri, 12 Jul 2019 21:47:11 GMT", "version": "v1" } ]
2019-07-16
[ [ "Kazemi", "Hossein", "" ], [ "Safari", "Majid", "" ], [ "Haas", "Harald", "" ] ]
The backhaul of hundreds of light fidelity (LiFi) base stations (BSs) constitutes a major challenge. Indoor wireless optical backhauling is a novel approach whereby the interconnections between adjacent LiFi BSs are provided by way of directed line-of-sight (LOS) wireless infrared (IR) links. Building on the aforesaid ...
2111.14434
Pedro Miguel Sanchez Sanchez
Pedro Miguel S\'anchez S\'anchez, Alberto Huertas Celdr\'an, Jos\'e Rafael Buend\'ia Rubio, G\'er\^ome Bovet, Gregorio Mart\'inez P\'erez
Robust Federated Learning for execution time-based device model identification under label-flipping attack
null
null
10.1007/s10586-022-03949-w
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
The computing device deployment explosion experienced in recent years, motivated by the advances of technologies such as Internet-of-Things (IoT) and 5G, has led to a global scenario with increasing cybersecurity risks and threats. Among them, device spoofing and impersonation cyberattacks stand out due to their impa...
[ { "created": "Mon, 29 Nov 2021 10:27:14 GMT", "version": "v1" } ]
2023-01-06
[ [ "Sánchez", "Pedro Miguel Sánchez", "" ], [ "Celdrán", "Alberto Huertas", "" ], [ "Rubio", "José Rafael Buendía", "" ], [ "Bovet", "Gérôme", "" ], [ "Pérez", "Gregorio Martínez", "" ] ]
The computing device deployment explosion experienced in recent years, motivated by the advances of technologies such as Internet-of-Things (IoT) and 5G, has led to a global scenario with increasing cybersecurity risks and threats. Among them, device spoofing and impersonation cyberattacks stand out due to their impact...
1904.11597
Nilanjan Roy Chowdhury. Dr.
Nilanjan Roy Chowdhury, Nandini Negi, Aranya Chakrabortty
A New Cyber-Secure Countermeasure for LTI systems under DoS attacks
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new counter-measure to mitigate denial-of-service cyber-attacks in linear time-invariant (LTI) systems. We first design a sparse linear quadratic regulator (LQR) optimal controller for a given LTI plant and evaluate the priority of the feedback communication links in terms of the loss of closed-...
[ { "created": "Thu, 25 Apr 2019 21:29:26 GMT", "version": "v1" } ]
2019-04-29
[ [ "Chowdhury", "Nilanjan Roy", "" ], [ "Negi", "Nandini", "" ], [ "Chakrabortty", "Aranya", "" ] ]
This paper presents a new counter-measure to mitigate denial-of-service cyber-attacks in linear time-invariant (LTI) systems. We first design a sparse linear quadratic regulator (LQR) optimal controller for a given LTI plant and evaluate the priority of the feedback communication links in terms of the loss of closed-lo...
2407.13937
Jen-Hao Cheng
Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang, Wenhao Chai, Cheng-Yen Yang, Hugo Latapie, Gaowen Liu, Bing-Fei Wu, Jenq-Neng Hwang
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
2024 IEEE Intelligent Vehicles Symposium (IV)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surpassing the capabilities of state-of-the-art single-modality detectors through sensor fusion remains an active challenge. This work leverag...
[ { "created": "Thu, 18 Jul 2024 23:32:27 GMT", "version": "v1" } ]
2024-07-22
[ [ "Kuan", "Sheng-Yao", "" ], [ "Cheng", "Jen-Hao", "" ], [ "Huang", "Hsiang-Wei", "" ], [ "Chai", "Wenhao", "" ], [ "Yang", "Cheng-Yen", "" ], [ "Latapie", "Hugo", "" ], [ "Liu", "Gaowen", "" ], [ "Wu...
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surpassing the capabilities of state-of-the-art single-modality detectors through sensor fusion remains an active challenge. This work leverages...
1806.09094
Yanxiang Jiang
Wenlong Huang, Yanxiang Jiang, Mehdi Bennis, Fu-Chun Zheng, Haris Gacanin, and Xiaohu You
Decentralized Asynchronous Coded Caching in Fog-RAN
6 pages, 2 figures. This work is accepted by IEEE VTC 2018 FALL
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate asynchronous coded caching in fog radio access networks (F-RAN). To minimize the fronthaul load, the encoding set collapsing rule and encoding set partition method are proposed to establish the relationship between the coded-multicasting contents in asynchronous and synchronous coded cac...
[ { "created": "Sun, 24 Jun 2018 07:07:07 GMT", "version": "v1" } ]
2018-06-26
[ [ "Huang", "Wenlong", "" ], [ "Jiang", "Yanxiang", "" ], [ "Bennis", "Mehdi", "" ], [ "Zheng", "Fu-Chun", "" ], [ "Gacanin", "Haris", "" ], [ "You", "Xiaohu", "" ] ]
In this paper, we investigate asynchronous coded caching in fog radio access networks (F-RAN). To minimize the fronthaul load, the encoding set collapsing rule and encoding set partition method are proposed to establish the relationship between the coded-multicasting contents in asynchronous and synchronous coded cachi...
1912.00127
Chowdhury Rahman
Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat and Afra Anika
A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
null
null
10.1007/978-3-030-52856-0_36
null
cs.CL cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Question classification (QC) is the primary step of the Question Answering (QA) system. Question Classification (QC) system classifies the questions in particular classes so that Question Answering (QA) System can provide correct answers for the questions. Our system categorizes the factoid type questions asked in na...
[ { "created": "Sat, 30 Nov 2019 04:00:31 GMT", "version": "v1" }, { "created": "Sun, 8 Dec 2019 02:15:32 GMT", "version": "v2" }, { "created": "Tue, 3 Mar 2020 03:53:55 GMT", "version": "v3" } ]
2020-08-11
[ [ "Rahman", "Md. Hasibur", "" ], [ "Rahman", "Chowdhury Rafeed", "" ], [ "Amin", "Ruhul", "" ], [ "Sifat", "Md. Habibur Rahman", "" ], [ "Anika", "Afra", "" ] ]
Question classification (QC) is the primary step of the Question Answering (QA) system. Question Classification (QC) system classifies the questions in particular classes so that Question Answering (QA) System can provide correct answers for the questions. Our system categorizes the factoid type questions asked in natu...
1401.1140
Axel Bacher
Axel Bacher, Olivier Bodini, Alice Jacquot
Efficient random sampling of binary and unary-binary trees via holonomic equations
null
null
null
null
cs.DS math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new uniform random sampler for binary trees with $n$ internal nodes consuming $2n + \Theta(\log(n)^2)$ random bits on average. This makes it quasi-optimal and out-performs the classical Remy algorithm. We also present a sampler for unary-binary trees with $n$ nodes taking $\Theta(n)$ random bits on avera...
[ { "created": "Mon, 6 Jan 2014 17:04:52 GMT", "version": "v1" }, { "created": "Tue, 7 Jan 2014 08:36:22 GMT", "version": "v2" } ]
2018-02-20
[ [ "Bacher", "Axel", "" ], [ "Bodini", "Olivier", "" ], [ "Jacquot", "Alice", "" ] ]
We present a new uniform random sampler for binary trees with $n$ internal nodes consuming $2n + \Theta(\log(n)^2)$ random bits on average. This makes it quasi-optimal and out-performs the classical Remy algorithm. We also present a sampler for unary-binary trees with $n$ nodes taking $\Theta(n)$ random bits on average...
1107.4711
Tamir Tassa
Tamir Tassa
Finding All Allowed Edges in a Bipartite Graph
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of finding all allowed edges in a bipartite graph $G=(V,E)$, i.e., all edges that are included in some maximum matching. We show that given any maximum matching in the graph, it is possible to perform this computation in linear time $O(n+m)$ (where $n=|V|$ and $m=|E|$). Hence, the time complex...
[ { "created": "Sat, 23 Jul 2011 21:32:55 GMT", "version": "v1" } ]
2011-07-26
[ [ "Tassa", "Tamir", "" ] ]
We consider the problem of finding all allowed edges in a bipartite graph $G=(V,E)$, i.e., all edges that are included in some maximum matching. We show that given any maximum matching in the graph, it is possible to perform this computation in linear time $O(n+m)$ (where $n=|V|$ and $m=|E|$). Hence, the time complexit...
1501.00318
Muhammad Jawaherul Alam
Md. Jawaherul Alam, David Eppstein, Michael Kaufmann, Stephen G. Kobourov, Sergey Pupyrev, Andre Schulz, and Torsten Ueckerdt
Contact Representations of Sparse Planar Graphs
null
null
null
null
cs.CG cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study representations of graphs by contacts of circular arcs, CCA-representations for short, where the vertices are interior-disjoint circular arcs in the plane and each edge is realized by an endpoint of one arc touching the interior of another. A graph is (2,k)-sparse if every s-vertex subgraph has at most 2s - ...
[ { "created": "Thu, 1 Jan 2015 21:22:30 GMT", "version": "v1" } ]
2015-01-05
[ [ "Alam", "Md. Jawaherul", "" ], [ "Eppstein", "David", "" ], [ "Kaufmann", "Michael", "" ], [ "Kobourov", "Stephen G.", "" ], [ "Pupyrev", "Sergey", "" ], [ "Schulz", "Andre", "" ], [ "Ueckerdt", "Torsten", ...
We study representations of graphs by contacts of circular arcs, CCA-representations for short, where the vertices are interior-disjoint circular arcs in the plane and each edge is realized by an endpoint of one arc touching the interior of another. A graph is (2,k)-sparse if every s-vertex subgraph has at most 2s - k ...
2208.02953
Tarik A. Rashid
Nitesh Banskota, Abeer Alsadoon, P.W.C. Prasad, Ahmed Dawoud, Tarik A. Rashid, Omar Hisham Alsadoon
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices
19 pages
Multimedia Tools and Applications, 2022
10.1007/s11042-022-13567-8
null
cs.CV cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learning is excelling. Facial Emotion Recognition in an unconstrained environment is an open challenge for digital image processing due to diffe...
[ { "created": "Fri, 5 Aug 2022 02:21:34 GMT", "version": "v1" } ]
2022-08-08
[ [ "Banskota", "Nitesh", "" ], [ "Alsadoon", "Abeer", "" ], [ "Prasad", "P. W. C.", "" ], [ "Dawoud", "Ahmed", "" ], [ "Rashid", "Tarik A.", "" ], [ "Alsadoon", "Omar Hisham", "" ] ]
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learning is excelling. Facial Emotion Recognition in an unconstrained environment is an open challenge for digital image processing due to differe...
2003.04315
Benjamin Lee
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld
LIMEADE: From AI Explanations to Advice Taking
18 pages, 7 figures
null
null
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research in human-centered AI has shown the benefits of systems that can explain their predictions. Methods that allow an AI to take advice from humans in response to explanations are similarly useful. While both capabilities are well-developed for transparent learning models (e.g., linear models and GA$^2$Ms), and r...
[ { "created": "Mon, 9 Mar 2020 18:00:00 GMT", "version": "v1" }, { "created": "Fri, 22 Oct 2021 03:13:39 GMT", "version": "v2" }, { "created": "Tue, 1 Mar 2022 23:42:10 GMT", "version": "v3" }, { "created": "Wed, 12 Oct 2022 22:45:19 GMT", "version": "v4" }, { "cre...
2023-01-19
[ [ "Lee", "Benjamin Charles Germain", "" ], [ "Downey", "Doug", "" ], [ "Lo", "Kyle", "" ], [ "Weld", "Daniel S.", "" ] ]
Research in human-centered AI has shown the benefits of systems that can explain their predictions. Methods that allow an AI to take advice from humans in response to explanations are similarly useful. While both capabilities are well-developed for transparent learning models (e.g., linear models and GA$^2$Ms), and rec...
2304.00932
Sijie Wang
Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
Accepted by CVPR 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
LiDAR relocalization plays a crucial role in many fields, including robotics, autonomous driving, and computer vision. LiDAR-based retrieval from a database typically incurs high computation storage costs and can lead to globally inaccurate pose estimations if the database is too sparse. On the other hand, pose regre...
[ { "created": "Mon, 3 Apr 2023 12:43:34 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 12:10:38 GMT", "version": "v2" } ]
2023-05-26
[ [ "Wang", "Sijie", "" ], [ "Kang", "Qiyu", "" ], [ "She", "Rui", "" ], [ "Wang", "Wei", "" ], [ "Zhao", "Kai", "" ], [ "Song", "Yang", "" ], [ "Tay", "Wee Peng", "" ] ]
LiDAR relocalization plays a crucial role in many fields, including robotics, autonomous driving, and computer vision. LiDAR-based retrieval from a database typically incurs high computation storage costs and can lead to globally inaccurate pose estimations if the database is too sparse. On the other hand, pose regress...
1908.03179
Alexey Gotsman
Artem Khyzha, Hagit Attiya and Alexey Gotsman
Privatization-Safe Transactional Memories (Extended Version)
Extended version of a paper from DISC'19 (International Symposium on Distributed Computing). arXiv admin note: substantial text overlap with arXiv:1801.04249
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transactional memory (TM) facilitates the development of concurrent applications by letting the programmer designate certain code blocks as atomic. Programmers using a TM often would like to access the same data both inside and outside transactions, and would prefer their programs to have a strongly atomic semantics,...
[ { "created": "Thu, 8 Aug 2019 17:19:42 GMT", "version": "v1" } ]
2019-08-09
[ [ "Khyzha", "Artem", "" ], [ "Attiya", "Hagit", "" ], [ "Gotsman", "Alexey", "" ] ]
Transactional memory (TM) facilitates the development of concurrent applications by letting the programmer designate certain code blocks as atomic. Programmers using a TM often would like to access the same data both inside and outside transactions, and would prefer their programs to have a strongly atomic semantics, w...
2306.07565
Hao Xu
Hao Xu, Yunqing Sun, Zihao Li, Yao Sun, Lei Zhang and Xiaoshuai Zhang
deController: A Web3 Native Cyberspace Infrastructure Perspective
null
null
10.1109/MCOM.005.2200481
null
cs.NI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Web3 brings an emerging outlook for the value of decentralization, boosting the decentralized infrastructure. People can benefit from Web3, facilitated by the advances in distributed ledger technology, to read, write and own web content, services and applications more freely without revealing their real identities. A...
[ { "created": "Tue, 13 Jun 2023 06:28:40 GMT", "version": "v1" } ]
2023-08-08
[ [ "Xu", "Hao", "" ], [ "Sun", "Yunqing", "" ], [ "Li", "Zihao", "" ], [ "Sun", "Yao", "" ], [ "Zhang", "Lei", "" ], [ "Zhang", "Xiaoshuai", "" ] ]
Web3 brings an emerging outlook for the value of decentralization, boosting the decentralized infrastructure. People can benefit from Web3, facilitated by the advances in distributed ledger technology, to read, write and own web content, services and applications more freely without revealing their real identities. Alt...
2209.00812
Yue Liu
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
Accepted by the 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022)
null
null
null
cs.CR cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machine learning (ML)-based Android malware detection has been one of the most popular research topics in the mobile security community. An increasing number of research studies have demonstrated that machine learning is an effective and promising approach for malware detection, and some works have even claimed that ...
[ { "created": "Fri, 2 Sep 2022 04:30:47 GMT", "version": "v1" } ]
2022-09-05
[ [ "Liu", "Yue", "" ], [ "Tantithamthavorn", "Chakkrit", "" ], [ "Li", "Li", "" ], [ "Liu", "Yepang", "" ] ]
Machine learning (ML)-based Android malware detection has been one of the most popular research topics in the mobile security community. An increasing number of research studies have demonstrated that machine learning is an effective and promising approach for malware detection, and some works have even claimed that th...
1004.3165
Ashwin Nayak
Rahul Jain and Ashwin Nayak
The space complexity of recognizing well-parenthesized expressions in the streaming model: the Index function revisited
36 pages. Added more explanations for information cost, the proofs, and the notation; introduced abbreviations for random variables in Section 2 to simplify expressions; corrected typos and minor errors; updated references. To appear in IEEE Transactions on Information Theory
null
null
null
cs.CC cs.IT math.IT quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show an Omega(sqrt{n}/T) lower bound for the space required by any unidirectional constant-error randomized T-pass streaming algorithm that recognizes whether an expression over two types of parenthesis is well-parenthesized. This proves a conjecture due to Magniez, Mathieu, and Nayak (2009) and rigorously establi...
[ { "created": "Mon, 19 Apr 2010 11:52:28 GMT", "version": "v1" }, { "created": "Mon, 5 Jul 2010 22:23:03 GMT", "version": "v2" }, { "created": "Tue, 26 Jul 2011 17:48:53 GMT", "version": "v3" }, { "created": "Thu, 16 May 2013 16:07:34 GMT", "version": "v4" }, { "cr...
2014-07-11
[ [ "Jain", "Rahul", "" ], [ "Nayak", "Ashwin", "" ] ]
We show an Omega(sqrt{n}/T) lower bound for the space required by any unidirectional constant-error randomized T-pass streaming algorithm that recognizes whether an expression over two types of parenthesis is well-parenthesized. This proves a conjecture due to Magniez, Mathieu, and Nayak (2009) and rigorously establish...
1812.07941
Temitayo Olugbade
Temitayo A. Olugbade, Joseph Newbold, Rose Johnson, Erica Volta, Paolo Alborno, Radoslaw Niewiadomski, Max Dillon, Gualtiero Volpe, and Nadia Bianchi-Berthouze
Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
null
null
10.1109/TAFFC.2020.2978069
null
cs.HC cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-1 Movement Dataset of body movement sensor data and reflective think...
[ { "created": "Tue, 18 Dec 2018 17:38:19 GMT", "version": "v1" }, { "created": "Mon, 23 Mar 2020 08:23:19 GMT", "version": "v2" } ]
2020-03-24
[ [ "Olugbade", "Temitayo A.", "" ], [ "Newbold", "Joseph", "" ], [ "Johnson", "Rose", "" ], [ "Volta", "Erica", "" ], [ "Alborno", "Paolo", "" ], [ "Niewiadomski", "Radoslaw", "" ], [ "Dillon", "Max", "" ], ...
For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present the weDraw-1 Movement Dataset of body movement sensor data and reflective thinkin...
2207.11609
Hossein A. Rahmani
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
RecSys 2022
null
10.1145/3523227.3551481
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI) recommender systems. However, the issue of contextual bias (i.e., how much consumers prefer one situation over another) has received litt...
[ { "created": "Sat, 23 Jul 2022 21:25:19 GMT", "version": "v1" } ]
2022-07-26
[ [ "Rahmani", "Hossein A.", "" ], [ "Naghiaei", "Mohammadmehdi", "" ], [ "Tourani", "Ali", "" ], [ "Deldjoo", "Yashar", "" ] ]
Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI) recommender systems. However, the issue of contextual bias (i.e., how much consumers prefer one situation over another) has received little...
1706.10192
Andrew Yates
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
To appear in WSDM 2018
null
null
null
cs.IR cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural IR models, such as DRMM and PACRR, have achieved strong results by successfully capturing relevance matching signals. We argue that the context of these matching signals is also important. Intuitively, when extracting, modeling, and combining matching signals, one would like to consider the surrounding text (l...
[ { "created": "Fri, 30 Jun 2017 13:39:03 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2017 13:42:11 GMT", "version": "v2" }, { "created": "Tue, 28 Nov 2017 13:43:56 GMT", "version": "v3" } ]
2017-11-29
[ [ "Hui", "Kai", "" ], [ "Yates", "Andrew", "" ], [ "Berberich", "Klaus", "" ], [ "de Melo", "Gerard", "" ] ]
Neural IR models, such as DRMM and PACRR, have achieved strong results by successfully capturing relevance matching signals. We argue that the context of these matching signals is also important. Intuitively, when extracting, modeling, and combining matching signals, one would like to consider the surrounding text (loc...
2308.10093
Sara Moshtaghi Largani
Hamid Hoorfar, Faraneh Fathi, Sara Moshtaghi Largani, and Alireza Bagheri
Securing Pathways with Orthogonal Robots
8 pages, 5 figures
The 21st International Conference on Scientific Computing in The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'23)
10.1109/CSCE60160.2023.00103
null
cs.RO cs.LG
http://creativecommons.org/licenses/by/4.0/
The protection of pathways holds immense significance across various domains, including urban planning, transportation, surveillance, and security. This article introduces a groundbreaking approach to safeguarding pathways by employing orthogonal robots. The study specifically addresses the challenge of efficiently g...
[ { "created": "Sat, 19 Aug 2023 19:05:13 GMT", "version": "v1" } ]
2024-05-27
[ [ "Hoorfar", "Hamid", "" ], [ "Fathi", "Faraneh", "" ], [ "Largani", "Sara Moshtaghi", "" ], [ "Bagheri", "Alireza", "" ] ]
The protection of pathways holds immense significance across various domains, including urban planning, transportation, surveillance, and security. This article introduces a groundbreaking approach to safeguarding pathways by employing orthogonal robots. The study specifically addresses the challenge of efficiently gua...
2211.10649
Hua Wei
Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei
LibSignal: An Open Library for Traffic Signal Control
11 pages + 6 pages appendix. Accepted by Machine Learning Journal (2023). A short version is accepted by NeurIPS 2022 Workshop: Reinforcement Learning for Real Life. Website: https://darl-libsignal.github.io/
null
10.1007/s10994-023-06412-y
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
This paper introduces a library for cross-simulator comparison of reinforcement learning models in traffic signal control tasks. This library is developed to implement recent state-of-the-art reinforcement learning models with extensible interfaces and unified cross-simulator evaluation metrics. It supports commonly-...
[ { "created": "Sat, 19 Nov 2022 10:21:50 GMT", "version": "v1" }, { "created": "Wed, 29 Nov 2023 18:45:05 GMT", "version": "v2" } ]
2023-11-30
[ [ "Mei", "Hao", "" ], [ "Lei", "Xiaoliang", "" ], [ "Da", "Longchao", "" ], [ "Shi", "Bin", "" ], [ "Wei", "Hua", "" ] ]
This paper introduces a library for cross-simulator comparison of reinforcement learning models in traffic signal control tasks. This library is developed to implement recent state-of-the-art reinforcement learning models with extensible interfaces and unified cross-simulator evaluation metrics. It supports commonly-us...
1809.03363
Ethan Harris
Ethan Harris, Matthew Painter and Jonathon Hare
Torchbearer: A Model Fitting Library for PyTorch
5 pages
null
null
null
cs.LG cs.AI cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming. The torchbearer library provides a high level metric and callback API that can be used for a wide range of applications. We also include a series of built in callbacks that can be...
[ { "created": "Mon, 10 Sep 2018 14:46:35 GMT", "version": "v1" } ]
2018-09-11
[ [ "Harris", "Ethan", "" ], [ "Painter", "Matthew", "" ], [ "Hare", "Jonathon", "" ] ]
We introduce torchbearer, a model fitting library for pytorch aimed at researchers working on deep learning or differentiable programming. The torchbearer library provides a high level metric and callback API that can be used for a wide range of applications. We also include a series of built in callbacks that can be u...
1804.07703
Martin Bromberger
Martin Bromberger
A Reduction from Unbounded Linear Mixed Arithmetic Problems into Bounded Problems
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a combination of the Mixed-Echelon-Hermite transformation and the Double-Bounded Reduction for systems of linear mixed arithmetic that preserve satisfiability and can be computed in polynomial time. Together, the two transformations turn any system of linear mixed constraints into a bounded system, i.e., a...
[ { "created": "Fri, 20 Apr 2018 16:13:24 GMT", "version": "v1" } ]
2018-04-23
[ [ "Bromberger", "Martin", "" ] ]
We present a combination of the Mixed-Echelon-Hermite transformation and the Double-Bounded Reduction for systems of linear mixed arithmetic that preserve satisfiability and can be computed in polynomial time. Together, the two transformations turn any system of linear mixed constraints into a bounded system, i.e., a s...
1804.01238
Trevor Barron
Trevor Barron, Oliver Obst, Heni Ben Amor
Information Maximizing Exploration with a Latent Dynamics Model
Presented at the NIPS 2017 Deep Reinforcement Learning Symposium
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
All reinforcement learning algorithms must handle the trade-off between exploration and exploitation. Many state-of-the-art deep reinforcement learning methods use noise in the action selection, such as Gaussian noise in policy gradient methods or $\epsilon$-greedy in Q-learning. While these methods are appealing due...
[ { "created": "Wed, 4 Apr 2018 05:04:41 GMT", "version": "v1" } ]
2018-04-05
[ [ "Barron", "Trevor", "" ], [ "Obst", "Oliver", "" ], [ "Amor", "Heni Ben", "" ] ]
All reinforcement learning algorithms must handle the trade-off between exploration and exploitation. Many state-of-the-art deep reinforcement learning methods use noise in the action selection, such as Gaussian noise in policy gradient methods or $\epsilon$-greedy in Q-learning. While these methods are appealing due t...
2404.16035
Chuong Huynh
Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee
MaGGIe: Masked Guided Gradual Human Instance Matting
CVPR 2024. Project link: https://maggie-matt.github.io
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional guidance or improve the temporal consistency of a single instance across frames. We propose a new framework MaGGIe, Masked Guided Gradual ...
[ { "created": "Wed, 24 Apr 2024 17:59:53 GMT", "version": "v1" } ]
2024-04-25
[ [ "Huynh", "Chuong", "" ], [ "Oh", "Seoung Wug", "" ], [ "Shrivastava", "Abhinav", "" ], [ "Lee", "Joon-Young", "" ] ]
Human matting is a foundation task in image and video processing, where human foreground pixels are extracted from the input. Prior works either improve the accuracy by additional guidance or improve the temporal consistency of a single instance across frames. We propose a new framework MaGGIe, Masked Guided Gradual Hu...
1001.2261
Rdv Ijcsis
Bancha Burapattanasiri
High Precision MultiWave Rectifier Circuit Operating in Low Voltage 1.5 Volt Current Mode
5 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS December 2009, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 160-164, December 2009, USA
null
Volume 6, No. 3, ISSN 1947 5500
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article is present high precision multiwave rectifier circuit operating in low voltage plus or minus 1.5 Volt current modes by CMOS technology 0.5 \mum, receive input and give output in current mode, respond at high frequency period. The structure compound with high speed current comparator circuit, current mirr...
[ { "created": "Wed, 13 Jan 2010 18:44:37 GMT", "version": "v1" } ]
2010-01-14
[ [ "Burapattanasiri", "Bancha", "" ] ]
This article is present high precision multiwave rectifier circuit operating in low voltage plus or minus 1.5 Volt current modes by CMOS technology 0.5 \mum, receive input and give output in current mode, respond at high frequency period. The structure compound with high speed current comparator circuit, current mirror...
2307.06981
Jeremy Blackburn
Utkucan Balc{\i}, Michael Sirivianos, Jeremy Blackburn
A Data-driven Understanding of Left-Wing Extremists on Social Media
null
null
null
null
cs.SI cs.CY
http://creativecommons.org/licenses/by/4.0/
Social media's role in the spread and evolution of extremism is a focus of intense study. Online extremists have been involved in the spread of online hate, mis/disinformation, and real-world violence. However, the overwhelming majority of existing work has focused on right-wing extremism. In this paper, we perform a...
[ { "created": "Thu, 13 Jul 2023 15:05:59 GMT", "version": "v1" } ]
2023-07-17
[ [ "Balcı", "Utkucan", "" ], [ "Sirivianos", "Michael", "" ], [ "Blackburn", "Jeremy", "" ] ]
Social media's role in the spread and evolution of extremism is a focus of intense study. Online extremists have been involved in the spread of online hate, mis/disinformation, and real-world violence. However, the overwhelming majority of existing work has focused on right-wing extremism. In this paper, we perform a f...
1909.07650
Georgios Amanatidis
Georgios Amanatidis, Apostolos Ntokos, Evangelos Markakis
Multiple Birds with One Stone: Beating $1/2$ for EFX and GMMS via Envy Cycle Elimination
null
Theor. Comput. Sci. 841: 94-109 (2020)
10.1016/j.tcs.2020.07.006
null
cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several relaxations of envy-freeness, tailored to fair division in settings with indivisible goods, have been introduced within the last decade. Due to the lack of general existence results for most of these concepts, great attention has been paid to establishing approximation guarantees. In this work, we propose a s...
[ { "created": "Tue, 17 Sep 2019 08:46:46 GMT", "version": "v1" }, { "created": "Sat, 6 Mar 2021 02:33:37 GMT", "version": "v2" } ]
2021-03-09
[ [ "Amanatidis", "Georgios", "" ], [ "Ntokos", "Apostolos", "" ], [ "Markakis", "Evangelos", "" ] ]
Several relaxations of envy-freeness, tailored to fair division in settings with indivisible goods, have been introduced within the last decade. Due to the lack of general existence results for most of these concepts, great attention has been paid to establishing approximation guarantees. In this work, we propose a sim...
2011.09684
Omar Sharif
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker
SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews
13 page, will appear in 20th International Conference on Hybrid Intelligent Systems (HIS 2020)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The amount of textual data generation has increased enormously due to the effortless access of the Internet and the evolution of various web 2.0 applications. These textual data productions resulted because of the people express their opinion, emotion or sentiment about any product or service in the form of tweets, F...
[ { "created": "Thu, 19 Nov 2020 06:24:42 GMT", "version": "v1" } ]
2020-11-20
[ [ "Hossain", "Eftekhar", "" ], [ "Sharif", "Omar", "" ], [ "Hoque", "Mohammed Moshiul", "" ], [ "Sarker", "Iqbal H.", "" ] ]
The amount of textual data generation has increased enormously due to the effortless access of the Internet and the evolution of various web 2.0 applications. These textual data productions resulted because of the people express their opinion, emotion or sentiment about any product or service in the form of tweets, Fac...
2202.00403
Quentin Possama\"i
Quentin Possama\"i, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako and Christian Wolf
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements
7 pages, 6 figures, 1 table. Submitted to International Conference on Pattern Recognition. For associated videos: https://www.youtube.com/playlist?list=PLRsYEUUGzW54jqsfRdkNAYjZUnoEM4uhM
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of data-driven approaches for control and planning in robotics have highlighted the need for developing experimental robotic platforms for data collection. However, their implementation is often complex and expensive, in particular for flying and terrestrial robots where the precise estimation of the po...
[ { "created": "Tue, 1 Feb 2022 13:35:16 GMT", "version": "v1" } ]
2022-02-02
[ [ "Possamaï", "Quentin", "" ], [ "Janny", "Steeven", "" ], [ "Bono", "Guillaume", "" ], [ "Nadri", "Madiha", "" ], [ "Bako", "Laurent", "" ], [ "Wolf", "Christian", "" ] ]
The emergence of data-driven approaches for control and planning in robotics have highlighted the need for developing experimental robotic platforms for data collection. However, their implementation is often complex and expensive, in particular for flying and terrestrial robots where the precise estimation of the posi...
2104.14146
David Schaller
Marc Hellmuth, David Schaller, Peter F. Stadler
Compatibility of Partitions with Trees, Hierarchies, and Split Systems
null
null
null
null
cs.DM math.CO
http://creativecommons.org/licenses/by-nc-sa/4.0/
The question whether a partition $\mathcal{P}$ and a hierarchy $\mathcal{H}$ or a tree-like split system $\mathfrak{S}$ are compatible naturally arises in a wide range of classification problems. In the setting of phylogenetic trees, one asks whether the sets of $\mathcal{P}$coincide with leaf sets of connected compo...
[ { "created": "Thu, 29 Apr 2021 06:55:35 GMT", "version": "v1" }, { "created": "Tue, 30 Nov 2021 15:42:40 GMT", "version": "v2" } ]
2021-12-01
[ [ "Hellmuth", "Marc", "" ], [ "Schaller", "David", "" ], [ "Stadler", "Peter F.", "" ] ]
The question whether a partition $\mathcal{P}$ and a hierarchy $\mathcal{H}$ or a tree-like split system $\mathfrak{S}$ are compatible naturally arises in a wide range of classification problems. In the setting of phylogenetic trees, one asks whether the sets of $\mathcal{P}$coincide with leaf sets of connected compone...
1502.02362
Adith Swaminathan
Adith Swaminathan and Thorsten Joachims
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
10 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop a learning principle and an efficient algorithm for batch learning from logged bandit feedback. This learning setting is ubiquitous in online systems (e.g., ad placement, web search, recommendation), where an algorithm makes a prediction (e.g., ad ranking) for a given input (e.g., query) and observes bandi...
[ { "created": "Mon, 9 Feb 2015 05:09:25 GMT", "version": "v1" }, { "created": "Wed, 20 May 2015 23:29:49 GMT", "version": "v2" } ]
2015-05-22
[ [ "Swaminathan", "Adith", "" ], [ "Joachims", "Thorsten", "" ] ]
We develop a learning principle and an efficient algorithm for batch learning from logged bandit feedback. This learning setting is ubiquitous in online systems (e.g., ad placement, web search, recommendation), where an algorithm makes a prediction (e.g., ad ranking) for a given input (e.g., query) and observes bandit ...
2109.02032
Zhenhui Ye
Zhenhui Ye, Xiaohong Jiang, Guanghua Song, Bowei Yang
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
9 pages, 6 figures, 1 table. Under review
null
null
null
cs.LG cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent progress in multi-agent deep reinforcement learning(MADRL) makes it more practical in real-world tasks, but its relatively poor scalability and the partially observable constraints raise challenges to its performance and deployment. Based on our intuitive observation that the human society could be regarde...
[ { "created": "Sun, 5 Sep 2021 09:51:25 GMT", "version": "v1" } ]
2021-09-07
[ [ "Ye", "Zhenhui", "" ], [ "Jiang", "Xiaohong", "" ], [ "Song", "Guanghua", "" ], [ "Yang", "Bowei", "" ] ]
The recent progress in multi-agent deep reinforcement learning(MADRL) makes it more practical in real-world tasks, but its relatively poor scalability and the partially observable constraints raise challenges to its performance and deployment. Based on our intuitive observation that the human society could be regarded ...
2106.06002
Austin Blodgett
Austin Blodgett and Nathan Schneider
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments
ACL 2021 Camera-ready
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences. We leverage unsupervised learning in combination with heuristics, taking the best of both worlds from previous AMR aligners. Our unsupervised models, however, are more sensitive to graph substr...
[ { "created": "Thu, 10 Jun 2021 18:46:32 GMT", "version": "v1" } ]
2021-06-14
[ [ "Blodgett", "Austin", "" ], [ "Schneider", "Nathan", "" ] ]
We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences. We leverage unsupervised learning in combination with heuristics, taking the best of both worlds from previous AMR aligners. Our unsupervised models, however, are more sensitive to graph substruc...
2112.01970
Tomoyoshi Shimobaba Dr.
Yoshiyuki Ishii, Tomoyoshi Shimobaba, David Blinder, Tobias Birnbaum, Peter Schelkens, Takashi Kakue, Tomoyoshi Ito
Optimization of phase-only holograms calculated with scaled diffraction calculation through deep neural networks
null
null
10.1007/s00340-022-07753-7
null
cs.CV cs.GR physics.optics
http://creativecommons.org/licenses/by/4.0/
Computer-generated holograms (CGHs) are used in holographic three-dimensional (3D) displays and holographic projections. The quality of the reconstructed images using phase-only CGHs is degraded because the amplitude of the reconstructed image is difficult to control. Iterative optimization methods such as the Gerchb...
[ { "created": "Thu, 2 Dec 2021 00:14:11 GMT", "version": "v1" } ]
2022-02-02
[ [ "Ishii", "Yoshiyuki", "" ], [ "Shimobaba", "Tomoyoshi", "" ], [ "Blinder", "David", "" ], [ "Birnbaum", "Tobias", "" ], [ "Schelkens", "Peter", "" ], [ "Kakue", "Takashi", "" ], [ "Ito", "Tomoyoshi", "" ]...
Computer-generated holograms (CGHs) are used in holographic three-dimensional (3D) displays and holographic projections. The quality of the reconstructed images using phase-only CGHs is degraded because the amplitude of the reconstructed image is difficult to control. Iterative optimization methods such as the Gerchber...
1901.00324
Torgeir Dings{\o}yr
Torgeir Dings{\o}yr, Davide Falessi, Ken Power
Agile Development at Scale: The Next Frontier
introduction to special issue on large-scale agile development
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Agile methods have transformed the way software is developed, emphasizing active end-user involvement, tolerance to change, and evolutionary delivery of products. The first special issue on agile development described the methods as focusing on "feedback and change". These methods have led to major changes in how sof...
[ { "created": "Wed, 2 Jan 2019 11:21:29 GMT", "version": "v1" } ]
2019-01-03
[ [ "Dingsøyr", "Torgeir", "" ], [ "Falessi", "Davide", "" ], [ "Power", "Ken", "" ] ]
Agile methods have transformed the way software is developed, emphasizing active end-user involvement, tolerance to change, and evolutionary delivery of products. The first special issue on agile development described the methods as focusing on "feedback and change". These methods have led to major changes in how softw...
2404.11100
Qiyu Hou
Qiyu Hou, Jun Wang, Meixuan Qiao, Lujun Tian
Synthesizing Realistic Data for Table Recognition
ICDAR 2024
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To overcome the limitations and challenges of current automatic table data annotation methods and random table data synthesis approaches, we propose a novel method for synthesizing annotation data specifically designed for table recognition. This method utilizes the structure and content of existing complex tables, f...
[ { "created": "Wed, 17 Apr 2024 06:36:17 GMT", "version": "v1" }, { "created": "Tue, 9 Jul 2024 12:09:32 GMT", "version": "v2" } ]
2024-07-10
[ [ "Hou", "Qiyu", "" ], [ "Wang", "Jun", "" ], [ "Qiao", "Meixuan", "" ], [ "Tian", "Lujun", "" ] ]
To overcome the limitations and challenges of current automatic table data annotation methods and random table data synthesis approaches, we propose a novel method for synthesizing annotation data specifically designed for table recognition. This method utilizes the structure and content of existing complex tables, fac...
2305.14342
Hong Liu
Hong Liu, Zhiyuan Li, David Hall, Percy Liang, Tengyu Ma
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
null
null
null
null
cs.LG cs.CL math.OC
http://creativecommons.org/licenses/by/4.0/
Given the massive cost of language model pre-training, a non-trivial improvement of the optimization algorithm would lead to a material reduction on the time and cost of training. Adam and its variants have been state-of-the-art for years, and more sophisticated second-order (Hessian-based) optimizers often incur too...
[ { "created": "Tue, 23 May 2023 17:59:21 GMT", "version": "v1" }, { "created": "Mon, 9 Oct 2023 19:54:09 GMT", "version": "v2" }, { "created": "Tue, 17 Oct 2023 07:44:16 GMT", "version": "v3" }, { "created": "Tue, 5 Mar 2024 17:07:16 GMT", "version": "v4" } ]
2024-03-06
[ [ "Liu", "Hong", "" ], [ "Li", "Zhiyuan", "" ], [ "Hall", "David", "" ], [ "Liang", "Percy", "" ], [ "Ma", "Tengyu", "" ] ]
Given the massive cost of language model pre-training, a non-trivial improvement of the optimization algorithm would lead to a material reduction on the time and cost of training. Adam and its variants have been state-of-the-art for years, and more sophisticated second-order (Hessian-based) optimizers often incur too m...
1908.07123
Siqi Wu
Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
Estimating Attention Flow in Online Video Networks
CSCW 2019, the code and datasets are publicly available at https://github.com/avalanchesiqi/networked-popularity
null
null
null
cs.SI cs.HC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conceptually act as a source of pathways for users to navigate. At present, little is known about how human attention is allocated over such la...
[ { "created": "Tue, 20 Aug 2019 01:37:26 GMT", "version": "v1" }, { "created": "Fri, 23 Aug 2019 08:47:27 GMT", "version": "v2" }, { "created": "Fri, 20 Mar 2020 04:55:02 GMT", "version": "v3" } ]
2020-03-23
[ [ "Wu", "Siqi", "" ], [ "Rizoiu", "Marian-Andrei", "" ], [ "Xie", "Lexing", "" ] ]
Online videos have shown tremendous increase in Internet traffic. Most video hosting sites implement recommender systems, which connect the videos into a directed network and conceptually act as a source of pathways for users to navigate. At present, little is known about how human attention is allocated over such larg...
2402.05264
Dmitry Kamzolov
Petr Ostroukhov, Aigerim Zhumabayeva, Chulu Xiang, Alexander Gasnikov, Martin Tak\'a\v{c}, Dmitry Kamzolov
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a novel adaptation of the Stochastic Gradient Descent (SGD), termed AdaBatchGrad. This modification seamlessly integrates an adaptive step size with an adjustable batch size. An increase in batch size and a decrease in step size are well-known techniques to tighten the area of convergence of SGD a...
[ { "created": "Wed, 7 Feb 2024 21:19:05 GMT", "version": "v1" } ]
2024-02-09
[ [ "Ostroukhov", "Petr", "" ], [ "Zhumabayeva", "Aigerim", "" ], [ "Xiang", "Chulu", "" ], [ "Gasnikov", "Alexander", "" ], [ "Takáč", "Martin", "" ], [ "Kamzolov", "Dmitry", "" ] ]
This paper presents a novel adaptation of the Stochastic Gradient Descent (SGD), termed AdaBatchGrad. This modification seamlessly integrates an adaptive step size with an adjustable batch size. An increase in batch size and a decrease in step size are well-known techniques to tighten the area of convergence of SGD and...
2402.03311
Shengcao Cao
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
NeurIPS 2023
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
The human visual perception system demonstrates exceptional capabilities in learning without explicit supervision and understanding the part-to-whole composition of objects. Drawing inspiration from these two abilities, we propose Hierarchical Adaptive Self-Supervised Object Detection (HASSOD), a novel approach that ...
[ { "created": "Mon, 5 Feb 2024 18:59:41 GMT", "version": "v1" } ]
2024-02-06
[ [ "Cao", "Shengcao", "" ], [ "Joshi", "Dhiraj", "" ], [ "Gui", "Liang-Yan", "" ], [ "Wang", "Yu-Xiong", "" ] ]
The human visual perception system demonstrates exceptional capabilities in learning without explicit supervision and understanding the part-to-whole composition of objects. Drawing inspiration from these two abilities, we propose Hierarchical Adaptive Self-Supervised Object Detection (HASSOD), a novel approach that le...
2405.00358
Zhiyu Fang
Zhiyu Fang, Jingyan Qin, Xiaobin Zhu, Chun Yang, Xu-Cheng Yin
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
Accepted by LREC-COLING 2024 (long paper, camera-ready version)
null
null
null
cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distinguished from traditional knowledge graphs (KGs), temporal knowledge graphs (TKGs) must explore and reason over temporally evolving facts adequately. However, existing TKG approaches still face two main challenges, i.e., the limited capability to model arbitrary timestamps continuously and the lack of rich infer...
[ { "created": "Wed, 1 May 2024 07:27:04 GMT", "version": "v1" } ]
2024-05-02
[ [ "Fang", "Zhiyu", "" ], [ "Qin", "Jingyan", "" ], [ "Zhu", "Xiaobin", "" ], [ "Yang", "Chun", "" ], [ "Yin", "Xu-Cheng", "" ] ]
Distinguished from traditional knowledge graphs (KGs), temporal knowledge graphs (TKGs) must explore and reason over temporally evolving facts adequately. However, existing TKG approaches still face two main challenges, i.e., the limited capability to model arbitrary timestamps continuously and the lack of rich inferen...
2202.04966
Lorenzo Vaquero
Lorenzo Vaquero, V\'ictor M. Brea, Manuel Mucientes
Real-Time Siamese Multiple Object Tracker with Enhanced Proposals
Accepted at Pattern Recognition. Code available at https://github.com/lorenzovaquero/SiamMOTION
null
10.1016/j.patcog.2022.109141
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame. Thus, motion estimation systems are often employed, which either do not scale well with the number of targets or produce features with limited semantic information. To ...
[ { "created": "Thu, 10 Feb 2022 11:41:27 GMT", "version": "v1" }, { "created": "Tue, 8 Nov 2022 10:33:32 GMT", "version": "v2" } ]
2022-11-09
[ [ "Vaquero", "Lorenzo", "" ], [ "Brea", "Víctor M.", "" ], [ "Mucientes", "Manuel", "" ] ]
Maintaining the identity of multiple objects in real-time video is a challenging task, as it is not always feasible to run a detector on every frame. Thus, motion estimation systems are often employed, which either do not scale well with the number of targets or produce features with limited semantic information. To so...
2403.16527
Neeloy Chakraborty
Neeloy Chakraborty and Melkior Ornik and Katherine Driggs-Campbell
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
31 pages, 2 tables
null
null
null
cs.AI cs.CL cs.RO
http://creativecommons.org/licenses/by/4.0/
Autonomous systems are soon to be ubiquitous, from manufacturing autonomy to agricultural field robots, and from health care assistants to the entertainment industry. The majority of these systems are developed with modular sub-components for decision-making, planning, and control that may be hand-engineered or learn...
[ { "created": "Mon, 25 Mar 2024 08:11:02 GMT", "version": "v1" } ]
2024-03-26
[ [ "Chakraborty", "Neeloy", "" ], [ "Ornik", "Melkior", "" ], [ "Driggs-Campbell", "Katherine", "" ] ]
Autonomous systems are soon to be ubiquitous, from manufacturing autonomy to agricultural field robots, and from health care assistants to the entertainment industry. The majority of these systems are developed with modular sub-components for decision-making, planning, and control that may be hand-engineered or learnin...
1301.1218
Matteo Riondato
Matteo Riondato and Fabio Vandin
Finding the True Frequent Itemsets
13 pages, Extended version of work appeared in SIAM International Conference on Data Mining, 2014
null
null
null
cs.LG cs.DB cs.DS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Frequent Itemsets (FIs) mining is a fundamental primitive in data mining. It requires to identify all itemsets appearing in at least a fraction $\theta$ of a transactional dataset $\mathcal{D}$. Often though, the ultimate goal of mining $\mathcal{D}$ is not an analysis of the dataset \emph{per se}, but the understand...
[ { "created": "Mon, 7 Jan 2013 15:04:43 GMT", "version": "v1" }, { "created": "Tue, 30 Apr 2013 12:54:12 GMT", "version": "v2" }, { "created": "Wed, 22 Jan 2014 16:38:44 GMT", "version": "v3" } ]
2014-01-23
[ [ "Riondato", "Matteo", "" ], [ "Vandin", "Fabio", "" ] ]
Frequent Itemsets (FIs) mining is a fundamental primitive in data mining. It requires to identify all itemsets appearing in at least a fraction $\theta$ of a transactional dataset $\mathcal{D}$. Often though, the ultimate goal of mining $\mathcal{D}$ is not an analysis of the dataset \emph{per se}, but the understandin...
2307.11780
Jiang Wu
Jiang Wu, Dongyu Liu, Ziyang Guo, Yingcai Wu
Beep: Balancing Effectiveness and Efficiency when Finding Multivariate Patterns in Racket Sports
This work is accepted in the KDD 2023 Workshop on Data Science and AI for Sports
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Modeling each hit as a multivariate event in racket sports and conducting sequential analysis aids in assessing player/team performance and identifying successful tactics for coaches and analysts. However, the complex correlations among multiple event attributes require pattern mining algorithms to be highly effectiv...
[ { "created": "Thu, 20 Jul 2023 04:55:57 GMT", "version": "v1" }, { "created": "Wed, 26 Jul 2023 04:16:05 GMT", "version": "v2" } ]
2023-07-27
[ [ "Wu", "Jiang", "" ], [ "Liu", "Dongyu", "" ], [ "Guo", "Ziyang", "" ], [ "Wu", "Yingcai", "" ] ]
Modeling each hit as a multivariate event in racket sports and conducting sequential analysis aids in assessing player/team performance and identifying successful tactics for coaches and analysts. However, the complex correlations among multiple event attributes require pattern mining algorithms to be highly effective ...
2210.11905
Ella Rabinovich
Ella Rabinovich and Boaz Carmeli
Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms
Accepted at EMNLP 2022 (main conference), 13 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Prominent questions about the role of sensory vs. linguistic input in the way we acquire and use language have been extensively studied in the psycholinguistic literature. However, the relative effect of various factors in a person's overall experience on their linguistic system remains unclear. We study this questio...
[ { "created": "Fri, 21 Oct 2022 12:11:10 GMT", "version": "v1" }, { "created": "Sun, 30 Oct 2022 08:41:31 GMT", "version": "v2" } ]
2022-11-01
[ [ "Rabinovich", "Ella", "" ], [ "Carmeli", "Boaz", "" ] ]
Prominent questions about the role of sensory vs. linguistic input in the way we acquire and use language have been extensively studied in the psycholinguistic literature. However, the relative effect of various factors in a person's overall experience on their linguistic system remains unclear. We study this question ...
2305.11294
Adrian Groza
Adrian Groza
Solving probability puzzles with logic toolkit
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The proposed approach is to formalise the probabilistic puzzle in equational FOL. Two formalisations are needed: one theory for all models of the given puzzle, and a second theory for the favorable models. Then Mace4 - that computes all the interpretation models of a FOL theory - is called twice. First, it is asked t...
[ { "created": "Thu, 18 May 2023 20:35:46 GMT", "version": "v1" } ]
2023-05-22
[ [ "Groza", "Adrian", "" ] ]
The proposed approach is to formalise the probabilistic puzzle in equational FOL. Two formalisations are needed: one theory for all models of the given puzzle, and a second theory for the favorable models. Then Mace4 - that computes all the interpretation models of a FOL theory - is called twice. First, it is asked to ...
2407.04516
James Rowbottom
James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Li\`o, Carola-Bibiane Sch\"onlieb, Chris Budd
G-Adaptive mesh refinement -- leveraging graph neural networks and differentiable finite element solvers
null
null
null
null
cs.LG cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel, and effective, approach to the long-standing problem of mesh adaptivity in finite element methods (FEM). FE solvers are powerful tools for solving partial differential equations (PDEs), but their cost and accuracy are critically dependent on the choice of mesh points. To keep computational costs l...
[ { "created": "Fri, 5 Jul 2024 13:57:35 GMT", "version": "v1" } ]
2024-07-08
[ [ "Rowbottom", "James", "" ], [ "Maierhofer", "Georg", "" ], [ "Deveney", "Teo", "" ], [ "Schratz", "Katharina", "" ], [ "Liò", "Pietro", "" ], [ "Schönlieb", "Carola-Bibiane", "" ], [ "Budd", "Chris", "" ]...
We present a novel, and effective, approach to the long-standing problem of mesh adaptivity in finite element methods (FEM). FE solvers are powerful tools for solving partial differential equations (PDEs), but their cost and accuracy are critically dependent on the choice of mesh points. To keep computational costs low...
1811.05375
Carlos Sarraute
Martin Fixman, Martin Minnoni, Carlos Sarraute
Comparison of Feature Extraction Methods and Predictors for Income Inference
Argentine Symposium on Big Data (AGRANDA), September 5, 2017
null
null
null
cs.CY cs.LG cs.SI stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users' socio-economic attributes such as their income level. We present here several methods to extract features from mobile phone usage (calls and messages), and co...
[ { "created": "Tue, 13 Nov 2018 15:53:22 GMT", "version": "v1" } ]
2020-02-27
[ [ "Fixman", "Martin", "" ], [ "Minnoni", "Martin", "" ], [ "Sarraute", "Carlos", "" ] ]
Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users' socio-economic attributes such as their income level. We present here several methods to extract features from mobile phone usage (calls and messages), and comp...
2405.07963
Dayanjan Wijesinghe
Suad Alshammari, Lama Basalelah, Walaa Abu Rukbah, Ali Alsuhibani, Dayanjan S. Wijesinghe
PyZoBot: A Platform for Conversational Information Extraction and Synthesis from Curated Zotero Reference Libraries through Advanced Retrieval-Augmented Generation
10 pages, 2 figures. The code is provided in github and the link to the repository is provided at the end of the publication
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
The exponential growth of scientific literature has resulted in information overload, challenging researchers to effectively synthesize relevant publications. This paper explores the integration of traditional reference management software with advanced computational techniques, including Large Language Models and Re...
[ { "created": "Mon, 13 May 2024 17:44:05 GMT", "version": "v1" } ]
2024-05-14
[ [ "Alshammari", "Suad", "" ], [ "Basalelah", "Lama", "" ], [ "Rukbah", "Walaa Abu", "" ], [ "Alsuhibani", "Ali", "" ], [ "Wijesinghe", "Dayanjan S.", "" ] ]
The exponential growth of scientific literature has resulted in information overload, challenging researchers to effectively synthesize relevant publications. This paper explores the integration of traditional reference management software with advanced computational techniques, including Large Language Models and Retr...
2403.15600
Sivana Hamer
Sivana Hamer, Marcelo d'Amorim, Laurie Williams
Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
8 pages, 2 figures, accepted at Deep Learning Security and Privacy Workshop (DLSP) part of IEEE Symposium on Security and Privacy Workshops (SPW) for 2024
null
null
null
cs.SE cs.AI cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sonatype's 2023 report found that 97% of developers and security leads integrate generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), into their development process. Concerns about the security implications of this trend have been raised. Developers are now weighing the benefits and ris...
[ { "created": "Fri, 22 Mar 2024 20:06:41 GMT", "version": "v1" } ]
2024-03-26
[ [ "Hamer", "Sivana", "" ], [ "d'Amorim", "Marcelo", "" ], [ "Williams", "Laurie", "" ] ]
Sonatype's 2023 report found that 97% of developers and security leads integrate generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), into their development process. Concerns about the security implications of this trend have been raised. Developers are now weighing the benefits and risks...
2109.02810
EPTCS
Maria Bendix Mikkelsen (DIKU, University of Copenhagen, Denmark), Robert Gl\"uck (DIKU, University of Copenhagen, Denmark), Maja H. Kirkeby (Roskilde University, Denmark)
An Inversion Tool for Conditional Term Rewriting Systems -- A Case Study of Ackermann Inversion
In Proceedings VPT 2021, arXiv:2109.02001
EPTCS 341, 2021, pp. 33-41
10.4204/EPTCS.341.3
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report on an inversion tool for a class of oriented conditional constructor term rewriting systems. Four well-behaved rule inverters ranging from trivial to full, partial and semi-inverters are included. Conditional term rewriting systems are theoretically well founded and can model functional and non-functional r...
[ { "created": "Tue, 7 Sep 2021 01:55:39 GMT", "version": "v1" } ]
2021-09-08
[ [ "Mikkelsen", "Maria Bendix", "", "DIKU, University of Copenhagen, Denmark" ], [ "Glück", "Robert", "", "DIKU, University of Copenhagen, Denmark" ], [ "Kirkeby", "Maja H.", "", "Roskilde University, Denmark" ] ]
We report on an inversion tool for a class of oriented conditional constructor term rewriting systems. Four well-behaved rule inverters ranging from trivial to full, partial and semi-inverters are included. Conditional term rewriting systems are theoretically well founded and can model functional and non-functional rew...
2311.12048
Kim Doyoung
Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In real-world continual learning (CL) scenarios, tasks often exhibit intricate and unpredictable semantic shifts, posing challenges for fixed prompt management strategies which are tailored to only handle semantic shifts of uniform degree (i.e., uniformly mild or uniformly abrupt). To address this limitation, we prop...
[ { "created": "Sat, 18 Nov 2023 08:55:08 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2024 11:11:28 GMT", "version": "v2" } ]
2024-07-23
[ [ "Kim", "Doyoung", "" ], [ "Yoon", "Susik", "" ], [ "Park", "Dongmin", "" ], [ "Lee", "Youngjun", "" ], [ "Song", "Hwanjun", "" ], [ "Bang", "Jihwan", "" ], [ "Lee", "Jae-Gil", "" ] ]
In real-world continual learning (CL) scenarios, tasks often exhibit intricate and unpredictable semantic shifts, posing challenges for fixed prompt management strategies which are tailored to only handle semantic shifts of uniform degree (i.e., uniformly mild or uniformly abrupt). To address this limitation, we propos...
1506.09019
Jaderick Pabico
Jaderick P. Pabico
Artificial Catalytic Reactions in 2D for Combinatorial Optimization
8 pages, 2 figures, In H.N. Adorna (ed.) Proceedings of the 3rd Symposium on Mathematical Aspects of Computer Science (SMACS 2006), Adventist University of the Philippines, Silang, Cavite, Philippines, 19-20 October 2006 (Published by the Computing Society of the Philippines)
null
null
null
cs.ET cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Presented in this paper is a derivation of a 2D catalytic reaction-based model to solve combinatorial optimization problems (COPs). The simulated catalytic reactions, a computational metaphor, occurs in an artificial chemical reactor that finds near-optimal solutions to COPs. The artificial environment is governed by...
[ { "created": "Tue, 30 Jun 2015 10:16:20 GMT", "version": "v1" } ]
2015-07-01
[ [ "Pabico", "Jaderick P.", "" ] ]
Presented in this paper is a derivation of a 2D catalytic reaction-based model to solve combinatorial optimization problems (COPs). The simulated catalytic reactions, a computational metaphor, occurs in an artificial chemical reactor that finds near-optimal solutions to COPs. The artificial environment is governed by c...
1401.4568
Petru Valicov
Julien Bensmail (LaBRI), Ararat Harutyunyan (MI), Herv\'e Hocquard (LaBRI), Petru Valicov (LIP)
Strong edge-colouring of sparse planar graphs
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A strong edge-colouring of a graph is a proper edge-colouring where each colour class induces a matching. It is known that every planar graph with maximum degree $\Delta$ has a strong edge-colouring with at most $4\Delta+4$ colours. We show that $3\Delta+1$ colours suffice if the graph has girth 6, and $4\Delta$ colo...
[ { "created": "Sat, 18 Jan 2014 17:11:56 GMT", "version": "v1" }, { "created": "Wed, 22 Jan 2014 13:21:02 GMT", "version": "v2" }, { "created": "Mon, 21 Jul 2014 16:32:19 GMT", "version": "v3" } ]
2014-07-22
[ [ "Bensmail", "Julien", "", "LaBRI" ], [ "Harutyunyan", "Ararat", "", "MI" ], [ "Hocquard", "Hervé", "", "LaBRI" ], [ "Valicov", "Petru", "", "LIP" ] ]
A strong edge-colouring of a graph is a proper edge-colouring where each colour class induces a matching. It is known that every planar graph with maximum degree $\Delta$ has a strong edge-colouring with at most $4\Delta+4$ colours. We show that $3\Delta+1$ colours suffice if the graph has girth 6, and $4\Delta$ colour...
1912.02918
Fabio Valerio Massoli
Fabio Valerio Massoli, Fabio Carrara, Giuseppe Amato, Fabrizio Falchi
Detection of Face Recognition Adversarial Attacks
null
Computer Vision and Image Understanding Volume 202, January 2021, 103103
10.1016/j.cviu.2020.103103
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning methods have become state-of-the-art for solving tasks such as Face Recognition (FR). Unfortunately, despite their success, it has been pointed out that these learning models are exposed to adversarial inputs - images to which an imperceptible amount of noise for humans is added to maliciously fool a ne...
[ { "created": "Thu, 5 Dec 2019 23:24:33 GMT", "version": "v1" } ]
2020-11-23
[ [ "Massoli", "Fabio Valerio", "" ], [ "Carrara", "Fabio", "" ], [ "Amato", "Giuseppe", "" ], [ "Falchi", "Fabrizio", "" ] ]
Deep Learning methods have become state-of-the-art for solving tasks such as Face Recognition (FR). Unfortunately, despite their success, it has been pointed out that these learning models are exposed to adversarial inputs - images to which an imperceptible amount of noise for humans is added to maliciously fool a neur...
2008.13583
Isabelle Tingzon
Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Liliana Carvajal, Katerine Zapata Erazo, Ivan Enrique Contreras Cala, Jeffrey Villaveces, Daniela Rubio, Rayid Ghani
Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis
null
null
10.1109/AI4G50087.2020.9311041
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape an economically devastated country during what is one of the largest humanitarian crises in modern history. Non-government organizations and local government units are faced with the challenge of identifying, assessing, and monitoring rapidly gr...
[ { "created": "Thu, 27 Aug 2020 04:42:45 GMT", "version": "v1" }, { "created": "Wed, 18 Nov 2020 18:59:49 GMT", "version": "v2" }, { "created": "Wed, 16 Dec 2020 02:35:56 GMT", "version": "v3" } ]
2023-07-27
[ [ "Tingzon", "Isabelle", "" ], [ "Dejito", "Niccolo", "" ], [ "Flores", "Ren Avell", "" ], [ "De Guzman", "Rodolfo", "" ], [ "Carvajal", "Liliana", "" ], [ "Erazo", "Katerine Zapata", "" ], [ "Cala", "Ivan Enriqu...
Since 2014, nearly 2 million Venezuelans have fled to Colombia to escape an economically devastated country during what is one of the largest humanitarian crises in modern history. Non-government organizations and local government units are faced with the challenge of identifying, assessing, and monitoring rapidly grow...
1806.11527
Ren\'e van Bevern
Ren\'e van Bevern and Oxana Yu. Tsidulko and Philipp Zschoche
Representative families for matroid intersections, with applications to location, packing, and covering problems
Restructuring (focus on representative families instead of facility location), slight running time improvements, algorithms factored out
Discrete Applied Mathematics, 298: 110-128, 2021
10.1016/j.dam.2021.03.014
null
cs.DS cs.DM math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show algorithms for computing representative families for matroid intersections and use them in fixed-parameter algorithms for set packing, set covering, and facility location problems with multiple matroid constraints. We complement our tractability results by hardness results.
[ { "created": "Fri, 29 Jun 2018 16:45:42 GMT", "version": "v1" }, { "created": "Sun, 30 Sep 2018 08:03:36 GMT", "version": "v2" }, { "created": "Sat, 13 Oct 2018 08:51:55 GMT", "version": "v3" }, { "created": "Sun, 28 Feb 2021 10:00:39 GMT", "version": "v4" } ]
2021-09-14
[ [ "van Bevern", "René", "" ], [ "Tsidulko", "Oxana Yu.", "" ], [ "Zschoche", "Philipp", "" ] ]
We show algorithms for computing representative families for matroid intersections and use them in fixed-parameter algorithms for set packing, set covering, and facility location problems with multiple matroid constraints. We complement our tractability results by hardness results.
cs/0605124
Marcelo Arenas
Jorge Perez, Marcelo Arenas and Claudio Gutierrez
Semantics and Complexity of SPARQL
null
null
null
null
cs.DB
null
SPARQL is the W3C candidate recommendation query language for RDF. In this paper we address systematically the formal study of SPARQL, concentrating in its graph pattern facility. We consider for this study a fragment without literals and a simple version of filters which encompasses all the main issues yet is simple...
[ { "created": "Fri, 26 May 2006 16:41:15 GMT", "version": "v1" } ]
2007-05-23
[ [ "Perez", "Jorge", "" ], [ "Arenas", "Marcelo", "" ], [ "Gutierrez", "Claudio", "" ] ]
SPARQL is the W3C candidate recommendation query language for RDF. In this paper we address systematically the formal study of SPARQL, concentrating in its graph pattern facility. We consider for this study a fragment without literals and a simple version of filters which encompasses all the main issues yet is simple t...
2104.10047
Ignacio Sarasua
Ignacio Sarasua, Jonwong Lee, Christian Wachinger
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease
null
null
null
null
cs.LG cs.CV eess.IV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Geometric deep learning can find representations that are optimal for a given task and therefore improve the performance over pre-defined representations. While current work has mainly focused on point representations, meshes also contain connectivity information and are therefore a more comprehensive characterizat...
[ { "created": "Tue, 20 Apr 2021 15:17:13 GMT", "version": "v1" } ]
2021-04-21
[ [ "Sarasua", "Ignacio", "" ], [ "Lee", "Jonwong", "" ], [ "Wachinger", "Christian", "" ] ]
Geometric deep learning can find representations that are optimal for a given task and therefore improve the performance over pre-defined representations. While current work has mainly focused on point representations, meshes also contain connectivity information and are therefore a more comprehensive characterization ...
2112.01919
Huilian Sophie Qiu
Huilian Sophie Qiu
On Female Audience Sending Virtual Gifts to Male Streamers on Douyin
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Live streaming has become increasingly popular. Our study focuses on the emerging Chinese female audiences who send virtual gifts to young male streamers. We observe a reversed entertainer-viewer gender relationship. We aim to study why they watch young male streamers, why they send gifts, and their relationships wit...
[ { "created": "Tue, 16 Nov 2021 07:05:49 GMT", "version": "v1" } ]
2021-12-06
[ [ "Qiu", "Huilian Sophie", "" ] ]
Live streaming has become increasingly popular. Our study focuses on the emerging Chinese female audiences who send virtual gifts to young male streamers. We observe a reversed entertainer-viewer gender relationship. We aim to study why they watch young male streamers, why they send gifts, and their relationships with ...
2108.00492
Jinming Wen Prof
Jinming Wen and Xiao Wen Chang
On the Success Probability of Three Detectors for the Box-Constrained Integer Linear Model
12 pages, to appear in IEEE Transactions on Communications
null
null
null
cs.IT math.IT
http://creativecommons.org/publicdomain/zero/1.0/
This paper is concerned with detecting an integer parameter vector inside a box from a linear model that is corrupted with a noise vector following the Gaussian distribution. One of the commonly used detectors is the maximum likelihood detector, which is obtained by solving a box-constrained integer least squares pro...
[ { "created": "Sun, 1 Aug 2021 16:49:01 GMT", "version": "v1" } ]
2021-08-03
[ [ "Wen", "Jinming", "" ], [ "Chang", "Xiao Wen", "" ] ]
This paper is concerned with detecting an integer parameter vector inside a box from a linear model that is corrupted with a noise vector following the Gaussian distribution. One of the commonly used detectors is the maximum likelihood detector, which is obtained by solving a box-constrained integer least squares probl...
2009.09331
Amiangshu Bosu
Jaydeb Sarker, Asif Kamal Turzo, Amiangshu Bosu
A Benchmark Study of the Contemporary Toxicity Detectors on Software Engineering Interactions
null
Proceedings of the 27th Asia-Pacific Software Engineering Conference (APSEC 2020)
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated filtering of toxic conversations may help an Open-source software (OSS) community to maintain healthy interactions among the project participants. Although, several general purpose tools exist to identify toxic contents, those may incorrectly flag some words commonly used in the Software Engineering (SE) co...
[ { "created": "Sun, 20 Sep 2020 01:27:14 GMT", "version": "v1" } ]
2020-09-22
[ [ "Sarker", "Jaydeb", "" ], [ "Turzo", "Asif Kamal", "" ], [ "Bosu", "Amiangshu", "" ] ]
Automated filtering of toxic conversations may help an Open-source software (OSS) community to maintain healthy interactions among the project participants. Although, several general purpose tools exist to identify toxic contents, those may incorrectly flag some words commonly used in the Software Engineering (SE) cont...
2111.09161
Thomas Sandholm
Thomas Sandholm and Sayandev Mukherjee
MASS: Mobile Autonomous Station Simulation
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
We propose a set of tools to replay wireless network traffic traces, while preserving the privacy of the original traces. Traces are generated by a user- and context-aware trained generative adversarial network (GAN). The replay allows for realistic traces from any number of users and of any trace duration to be pr...
[ { "created": "Wed, 17 Nov 2021 14:51:35 GMT", "version": "v1" } ]
2021-11-18
[ [ "Sandholm", "Thomas", "" ], [ "Mukherjee", "Sayandev", "" ] ]
We propose a set of tools to replay wireless network traffic traces, while preserving the privacy of the original traces. Traces are generated by a user- and context-aware trained generative adversarial network (GAN). The replay allows for realistic traces from any number of users and of any trace duration to be produc...
1704.07809
Tomas Simon
Tomas Simon, Hanbyul Joo, Iain Matthews, Yaser Sheikh
Hand Keypoint Detection in Single Images using Multiview Bootstrapping
CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to produce noisy labels in multiple views of the hand. The noisy d...
[ { "created": "Tue, 25 Apr 2017 17:37:48 GMT", "version": "v1" } ]
2017-04-26
[ [ "Simon", "Tomas", "" ], [ "Joo", "Hanbyul", "" ], [ "Matthews", "Iain", "" ], [ "Sheikh", "Yaser", "" ] ]
We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to produce noisy labels in multiple views of the hand. The noisy det...
2210.06986
Anastasia Safonova
Ilya Nikitin, Brian O'Connor, Anastasia Safonova
Tone prediction and orthographic conversion for Basaa
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we present a seq2seq approach for transliterating missionary Basaa orthographies into the official orthography. Our model uses pre-trained Basaa missionary and official orthography corpora using BERT. Since Basaa is a low-resource language, we have decided to use the mT5 model for our project. Before t...
[ { "created": "Thu, 13 Oct 2022 12:58:39 GMT", "version": "v1" } ]
2022-10-14
[ [ "Nikitin", "Ilya", "" ], [ "O'Connor", "Brian", "" ], [ "Safonova", "Anastasia", "" ] ]
In this paper, we present a seq2seq approach for transliterating missionary Basaa orthographies into the official orthography. Our model uses pre-trained Basaa missionary and official orthography corpora using BERT. Since Basaa is a low-resource language, we have decided to use the mT5 model for our project. Before tra...
2305.05705
Maria Waheed
Maria Waheed, Michael Milford, Xiaojun Zhai, Klaus McDonald-Maier and Shoaib Ehsan
An Evaluation and Ranking of Different Voting Schemes for Improved Visual Place Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual Place Recognition has recently seen a surge of endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion or switching involve combining different VPR techniques together, utilizing different strategies. One major aspect often common to many of these strategi...
[ { "created": "Tue, 9 May 2023 18:24:33 GMT", "version": "v1" } ]
2023-05-11
[ [ "Waheed", "Maria", "" ], [ "Milford", "Michael", "" ], [ "Zhai", "Xiaojun", "" ], [ "McDonald-Maier", "Klaus", "" ], [ "Ehsan", "Shoaib", "" ] ]
Visual Place Recognition has recently seen a surge of endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion or switching involve combining different VPR techniques together, utilizing different strategies. One major aspect often common to many of these strategies...
2303.07599
Kaiqi Zhao
Kaiqi Zhao, Yitao Chen, Ming Zhao
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer the information from a large model ("teacher") to train a small model ("student") by minimizing the difference of their conditionally indepe...
[ { "created": "Tue, 14 Mar 2023 02:45:41 GMT", "version": "v1" } ]
2023-03-15
[ [ "Zhao", "Kaiqi", "" ], [ "Chen", "Yitao", "" ], [ "Zhao", "Ming", "" ] ]
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer the information from a large model ("teacher") to train a small model ("student") by minimizing the difference of their conditionally independ...
1206.4680
Mikhail Bilenko
Hoyt Koepke (University of Washington), Mikhail Bilenko (Microsoft Research)
Fast Prediction of New Feature Utility
ICML2012
null
null
null
cs.LG math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the new feature utility prediction problem: statistically testing whether adding a new feature to the data representation can improve predictive accuracy on a supervised learning task. In many applications, identifying new informative features is the primary pathway for improving performance. However, evalua...
[ { "created": "Mon, 18 Jun 2012 15:38:18 GMT", "version": "v1" } ]
2012-06-22
[ [ "Koepke", "Hoyt", "", "University of Washington" ], [ "Bilenko", "Mikhail", "", "Microsoft\n Research" ] ]
We study the new feature utility prediction problem: statistically testing whether adding a new feature to the data representation can improve predictive accuracy on a supervised learning task. In many applications, identifying new informative features is the primary pathway for improving performance. However, evaluati...
0803.1207
Hang Dinh
Hang Dinh
Serious Flaws in Korf et al.'s Analysis on Time Complexity of A*
This paper has been withdrawn
null
null
null
cs.AI
http://creativecommons.org/licenses/by/3.0/
This paper has been withdrawn.
[ { "created": "Sat, 8 Mar 2008 02:47:27 GMT", "version": "v1" }, { "created": "Fri, 13 Mar 2009 15:36:28 GMT", "version": "v2" }, { "created": "Tue, 28 Sep 2010 21:20:08 GMT", "version": "v3" } ]
2010-09-30
[ [ "Dinh", "Hang", "" ] ]
This paper has been withdrawn.
2211.16756
Chengming Xu
Chengming Xu, Chen Liu, Siqian Yang, Yabiao Wang, Shijie Zhang, Lijie Jia, Yanwei Fu
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Positive-Unlabeled (PU) learning aims to learn a model with rare positive samples and abundant unlabeled samples. Compared with classical binary classification, the task of PU learning is much more challenging due to the existence of many incompletely-annotated data instances. Since only part of the most confident po...
[ { "created": "Wed, 30 Nov 2022 05:48:31 GMT", "version": "v1" } ]
2022-12-01
[ [ "Xu", "Chengming", "" ], [ "Liu", "Chen", "" ], [ "Yang", "Siqian", "" ], [ "Wang", "Yabiao", "" ], [ "Zhang", "Shijie", "" ], [ "Jia", "Lijie", "" ], [ "Fu", "Yanwei", "" ] ]
Positive-Unlabeled (PU) learning aims to learn a model with rare positive samples and abundant unlabeled samples. Compared with classical binary classification, the task of PU learning is much more challenging due to the existence of many incompletely-annotated data instances. Since only part of the most confident posi...
2109.03890
Vignesh Viswanathan
Gagan Biradar, Vignesh Viswanathan, Yair Zick
Model Explanations via the Axiomatic Causal Lens
Withdrawing because this paper was re-written and resubmitted at arXiv:2310.03131. Please see arXiv:2310.03131 for the most recent version of this work
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Explaining the decisions of black-box models is a central theme in the study of trustworthy ML. Numerous measures have been proposed in the literature; however, none of them take an axiomatic approach to causal explainability. In this work, we propose three explanation measures which aggregate the set of all but-for ...
[ { "created": "Wed, 8 Sep 2021 19:33:52 GMT", "version": "v1" }, { "created": "Fri, 17 Sep 2021 14:17:59 GMT", "version": "v2" }, { "created": "Mon, 31 Jan 2022 23:50:48 GMT", "version": "v3" }, { "created": "Mon, 11 Sep 2023 19:33:45 GMT", "version": "v4" }, { "cr...
2024-02-20
[ [ "Biradar", "Gagan", "" ], [ "Viswanathan", "Vignesh", "" ], [ "Zick", "Yair", "" ] ]
Explaining the decisions of black-box models is a central theme in the study of trustworthy ML. Numerous measures have been proposed in the literature; however, none of them take an axiomatic approach to causal explainability. In this work, we propose three explanation measures which aggregate the set of all but-for ca...
1909.03916
Mark Ditsworth
Mark Ditsworth and Justin Ruths
Community Detection via Katz and Eigenvector Centrality
Submitted to Physical Review E
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The computational demands of community detection algorithms such as Louvain and spectral optimization can be prohibitive for large networks. Eigenvector centrality and Katz centrality are two network statistics commonly used to describe the relative importance of nodes; and their calculation can be closely approximat...
[ { "created": "Mon, 9 Sep 2019 15:18:13 GMT", "version": "v1" } ]
2019-09-10
[ [ "Ditsworth", "Mark", "" ], [ "Ruths", "Justin", "" ] ]
The computational demands of community detection algorithms such as Louvain and spectral optimization can be prohibitive for large networks. Eigenvector centrality and Katz centrality are two network statistics commonly used to describe the relative importance of nodes; and their calculation can be closely approximated...
1503.08577
Gabriel Peyre
Vincent Duval (INRIA Paris-Rocquencourt), Gabriel Peyr\'e (CEREMADE)
Sparse Spikes Deconvolution on Thin Grids
null
null
null
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article analyzes the recovery performance of two popular finite dimensional approximations of the sparse spikes deconvolution problem over Radon measures. We examine in a unified framework both the L1 regularization (often referred to as Lasso or Basis-Pursuit) and the Continuous Basis-Pursuit (C-BP) methods. Th...
[ { "created": "Mon, 30 Mar 2015 07:53:07 GMT", "version": "v1" } ]
2015-03-31
[ [ "Duval", "Vincent", "", "INRIA Paris-Rocquencourt" ], [ "Peyré", "Gabriel", "", "CEREMADE" ] ]
This article analyzes the recovery performance of two popular finite dimensional approximations of the sparse spikes deconvolution problem over Radon measures. We examine in a unified framework both the L1 regularization (often referred to as Lasso or Basis-Pursuit) and the Continuous Basis-Pursuit (C-BP) methods. The ...
2211.12035
Chin Chun Ooi
Shi Jer Low, Venugopalan, S.G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
FastFlow: AI for Fast Urban Wind Velocity Prediction
null
null
null
null
cs.LG cs.CY physics.flu-dyn
http://creativecommons.org/licenses/by/4.0/
Data-driven approaches, including deep learning, have shown great promise as surrogate models across many domains. These extend to various areas in sustainability. An interesting direction for which data-driven methods have not been applied much yet is in the quick quantitative evaluation of urban layouts for plannin...
[ { "created": "Tue, 22 Nov 2022 06:13:48 GMT", "version": "v1" } ]
2022-11-23
[ [ "Low", "Shi Jer", "" ], [ "Venugopalan", "", "" ], [ "Raghavan", "S. G.", "" ], [ "Gopalan", "Harish", "" ], [ "Wong", "Jian Cheng", "" ], [ "Yeoh", "Justin", "" ], [ "Ooi", "Chin Chun", "" ] ]
Data-driven approaches, including deep learning, have shown great promise as surrogate models across many domains. These extend to various areas in sustainability. An interesting direction for which data-driven methods have not been applied much yet is in the quick quantitative evaluation of urban layouts for planning ...
2103.00464
Omar Sharif
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
Winner LT-EDI workshop EACL-2021, 7 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Nevertheless, a limited number of researches carried out to identify positive, encouraging and supportive contents. In this work, our goal is to ...
[ { "created": "Sun, 28 Feb 2021 11:30:52 GMT", "version": "v1" } ]
2021-03-02
[ [ "Hossain", "Eftekhar", "" ], [ "Sharif", "Omar", "" ], [ "Hoque", "Mohammed Moshiul", "" ] ]
In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Nevertheless, a limited number of researches carried out to identify positive, encouraging and supportive contents. In this work, our goal is to id...
2306.09021
Yizhou Chen
Yizhou Chen, Yushan Han, Jingyu Chen, Joseph Teran
Position-Based Nonlinear Gauss-Seidel for Quasistatic Hyperelasticity
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Position based dynamics is a powerful technique for simulating a variety of materials. Its primary strength is its robustness when run with limited computational budget. We develop a novel approach to address problems with PBD for quasistatic hyperelastic materials. Even though PBD is based on the projection of stati...
[ { "created": "Thu, 15 Jun 2023 10:28:12 GMT", "version": "v1" } ]
2023-06-16
[ [ "Chen", "Yizhou", "" ], [ "Han", "Yushan", "" ], [ "Chen", "Jingyu", "" ], [ "Teran", "Joseph", "" ] ]
Position based dynamics is a powerful technique for simulating a variety of materials. Its primary strength is its robustness when run with limited computational budget. We develop a novel approach to address problems with PBD for quasistatic hyperelastic materials. Even though PBD is based on the projection of static ...
2306.10620
Patrick Kuckertz
Patrick Kuckertz, Jan G\"opfert, Oliver Karras, David Neuroth, Julian Sch\"onau, Rodrigo Pueblas, Stephan Ferenz, Felix Engel, Noah Pflugradt, Jann M. Weinand, Astrid Nie{\ss}e, S\"oren Auer, Detlef Stolten
A Metadata-Based Ecosystem to Improve the FAIRness of Research Software
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers with varied backgrounds to reproduce, validate, and expand upon study findings. Furthermore, the analysis of open source code aids in the comprehension, comparison, and integration o...
[ { "created": "Sun, 18 Jun 2023 19:01:08 GMT", "version": "v1" } ]
2023-06-21
[ [ "Kuckertz", "Patrick", "" ], [ "Göpfert", "Jan", "" ], [ "Karras", "Oliver", "" ], [ "Neuroth", "David", "" ], [ "Schönau", "Julian", "" ], [ "Pueblas", "Rodrigo", "" ], [ "Ferenz", "Stephan", "" ], [ ...
The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers with varied backgrounds to reproduce, validate, and expand upon study findings. Furthermore, the analysis of open source code aids in the comprehension, comparison, and integration of ...
1506.07866
Gil Ben-Artzi
Gil Ben-Artzi, Yoni Kasten, Shmuel Peleg, Michael Werman
Camera Calibration from Dynamic Silhouettes Using Motion Barcodes
Update metadata
Proc. CVPR'16, Las Vegas, June 2016, pp. 4095-4103
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing the epipolar geometry between cameras with very different viewpoints is often problematic as matching points are hard to find. In these cases, it has been proposed to use information from dynamic objects in the scene for suggesting point and line correspondences. We propose a speed up of about two orders ...
[ { "created": "Thu, 25 Jun 2015 19:37:24 GMT", "version": "v1" }, { "created": "Sat, 7 Nov 2015 16:44:20 GMT", "version": "v2" }, { "created": "Tue, 24 Nov 2015 14:19:45 GMT", "version": "v3" }, { "created": "Sun, 8 Jan 2017 00:45:49 GMT", "version": "v4" } ]
2017-01-10
[ [ "Ben-Artzi", "Gil", "" ], [ "Kasten", "Yoni", "" ], [ "Peleg", "Shmuel", "" ], [ "Werman", "Michael", "" ] ]
Computing the epipolar geometry between cameras with very different viewpoints is often problematic as matching points are hard to find. In these cases, it has been proposed to use information from dynamic objects in the scene for suggesting point and line correspondences. We propose a speed up of about two orders of m...
2208.10273
Tie Luo
Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
European Symposium on Research in Computer Security (ESORICS) 2022
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning offers a framework of training a machine learning model in a distributed fashion while preserving privacy of the participants. As the server cannot govern the clients' actions, nefarious clients may attack the global model by sending malicious local gradients. In the meantime, there could also be u...
[ { "created": "Sun, 14 Aug 2022 04:54:28 GMT", "version": "v1" } ]
2022-08-23
[ [ "Gupta", "Ashish", "" ], [ "Luo", "Tie", "" ], [ "Ngo", "Mao V.", "" ], [ "Das", "Sajal K.", "" ] ]
Federated learning offers a framework of training a machine learning model in a distributed fashion while preserving privacy of the participants. As the server cannot govern the clients' actions, nefarious clients may attack the global model by sending malicious local gradients. In the meantime, there could also be unr...
1910.00531
Nikos Salamanos
Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael Sirivianos
On the Influence of Twitter Trolls during the 2016 US Presidential Election
With this version, we are correcting an error in the Acknowledgments regarding the research funding that supports this work. The correct one is the European Union's Horizon 2020 Research and Innovation program under the Cybersecurity CONCORDIA project (Grant Agreement No. 830927)
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election spreading millions of tweets with misinformation and inflammatory political content. Whether these social media campaigns of the so-called "troll" accounts were able to manipulate public opinion is sti...
[ { "created": "Tue, 1 Oct 2019 16:32:59 GMT", "version": "v1" }, { "created": "Thu, 3 Oct 2019 19:43:53 GMT", "version": "v2" } ]
2019-10-07
[ [ "Salamanos", "Nikos", "" ], [ "Jensen", "Michael J.", "" ], [ "He", "Xinlei", "" ], [ "Chen", "Yang", "" ], [ "Sirivianos", "Michael", "" ] ]
It is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election spreading millions of tweets with misinformation and inflammatory political content. Whether these social media campaigns of the so-called "troll" accounts were able to manipulate public opinion is still...
2007.13233
Najla Al-Taleb
Najla Al-Taleb, Nazar Abbas Saqib, Atta-ur-Rahman, Sujata Dash
Cyber Threat Intelligence for Secure Smart City
null
null
null
null
cs.CR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart city improved the quality of life for the citizens by implementing information communication technology (ICT) such as the internet of things (IoT). Nevertheless, the smart city is a critical environment that needs to secure it is network and data from intrusions and attacks. This work proposes a hybrid deep lea...
[ { "created": "Sun, 26 Jul 2020 22:39:33 GMT", "version": "v1" } ]
2020-07-28
[ [ "Al-Taleb", "Najla", "" ], [ "Saqib", "Nazar Abbas", "" ], [ "Atta-ur-Rahman", "", "" ], [ "Dash", "Sujata", "" ] ]
Smart city improved the quality of life for the citizens by implementing information communication technology (ICT) such as the internet of things (IoT). Nevertheless, the smart city is a critical environment that needs to secure it is network and data from intrusions and attacks. This work proposes a hybrid deep learn...
1904.02179
Alexandra Porter
Alexandra Porter and Mary Wootters
Embedded Index Coding
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by applications in distributed storage and distributed computation, we introduce embedded index coding (EIC). EIC is a type of distributed index coding in which nodes in a distributed system act as both senders and receivers of information. We show how embedded index coding is related to index coding in gen...
[ { "created": "Wed, 3 Apr 2019 18:03:21 GMT", "version": "v1" }, { "created": "Wed, 24 Apr 2019 19:24:14 GMT", "version": "v2" }, { "created": "Wed, 30 Oct 2019 20:15:57 GMT", "version": "v3" } ]
2019-11-01
[ [ "Porter", "Alexandra", "" ], [ "Wootters", "Mary", "" ] ]
Motivated by applications in distributed storage and distributed computation, we introduce embedded index coding (EIC). EIC is a type of distributed index coding in which nodes in a distributed system act as both senders and receivers of information. We show how embedded index coding is related to index coding in gener...
1912.12957
EPTCS
Claudia Schon, Sophie Siebert, Frieder Stolzenburg
Using ConceptNet to Teach Common Sense to an Automated Theorem Prover
In Proceedings ARCADE 2019, arXiv:1912.11786
EPTCS 311, 2019, pp. 19-24
10.4204/EPTCS.311.3
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The CoRg system is a system to solve commonsense reasoning problems. The core of the CoRg system is the automated theorem prover Hyper that is fed with large amounts of background knowledge. This background knowledge plays a crucial role in solving commonsense reasoning problems. In this paper we present different wa...
[ { "created": "Mon, 30 Dec 2019 15:13:53 GMT", "version": "v1" } ]
2020-01-01
[ [ "Schon", "Claudia", "" ], [ "Siebert", "Sophie", "" ], [ "Stolzenburg", "Frieder", "" ] ]
The CoRg system is a system to solve commonsense reasoning problems. The core of the CoRg system is the automated theorem prover Hyper that is fed with large amounts of background knowledge. This background knowledge plays a crucial role in solving commonsense reasoning problems. In this paper we present different ways...
1802.03006
Lars Buesing
Lars Buesing, Theophane Weber, Sebastien Racaniere, S. M. Ali Eslami, Danilo Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra
Learning and Querying Fast Generative Models for Reinforcement Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A key challenge in model-based reinforcement learning (RL) is to synthesize computationally efficient and accurate environment models. We show that carefully designed generative models that learn and operate on compact state representations, so-called state-space models, substantially reduce the computational costs f...
[ { "created": "Thu, 8 Feb 2018 18:54:44 GMT", "version": "v1" } ]
2018-02-09
[ [ "Buesing", "Lars", "" ], [ "Weber", "Theophane", "" ], [ "Racaniere", "Sebastien", "" ], [ "Eslami", "S. M. Ali", "" ], [ "Rezende", "Danilo", "" ], [ "Reichert", "David P.", "" ], [ "Viola", "Fabio", "" ...
A key challenge in model-based reinforcement learning (RL) is to synthesize computationally efficient and accurate environment models. We show that carefully designed generative models that learn and operate on compact state representations, so-called state-space models, substantially reduce the computational costs for...
1612.00130
Mengfan Zheng
Mengfan Zheng, Meixia Tao, Wen Chen and Cong Ling
Secure Polar Coding for the Two-Way Wiretap Channel
28 pages, 7 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of polar coding for secure communications over the two-way wiretap channel, where two legitimate users communicate with each other simultaneously while a passive eavesdropper overhears a combination of their exchanged signals. The legitimate users wish to design a cooperative jamming code such...
[ { "created": "Thu, 1 Dec 2016 03:32:25 GMT", "version": "v1" }, { "created": "Sat, 13 May 2017 04:49:35 GMT", "version": "v2" }, { "created": "Thu, 22 Jun 2017 07:55:48 GMT", "version": "v3" } ]
2017-06-23
[ [ "Zheng", "Mengfan", "" ], [ "Tao", "Meixia", "" ], [ "Chen", "Wen", "" ], [ "Ling", "Cong", "" ] ]
We consider the problem of polar coding for secure communications over the two-way wiretap channel, where two legitimate users communicate with each other simultaneously while a passive eavesdropper overhears a combination of their exchanged signals. The legitimate users wish to design a cooperative jamming code such t...
2106.07140
Jihyeong Yoo
Jihyeong Yoo and Qifeng Chen
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Accepted to ICML 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose SinIR, an efficient reconstruction-based framework trained on a single natural image for general image manipulation, including super-resolution, editing, harmonization, paint-to-image, photo-realistic style transfer, and artistic style transfer. We train our model on a single image with cascaded multi-scal...
[ { "created": "Mon, 14 Jun 2021 02:41:26 GMT", "version": "v1" } ]
2021-06-15
[ [ "Yoo", "Jihyeong", "" ], [ "Chen", "Qifeng", "" ] ]
We propose SinIR, an efficient reconstruction-based framework trained on a single natural image for general image manipulation, including super-resolution, editing, harmonization, paint-to-image, photo-realistic style transfer, and artistic style transfer. We train our model on a single image with cascaded multi-scale ...
2103.04768
Liya Wang
Liya Wang, Panta Lucic, Keith Campbell, and Craig Wanke
Helicopter Track Identification with Autoencoder
Draft for ICNS conference. arXiv admin note: text overlap with arXiv:2011.01464
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Computing power, big data, and advancement of algorithms have led to a renewed interest in artificial intelligence (AI), especially in deep learning (DL). The success of DL largely lies on data representation because different representations can indicate to a degree the different explanatory factors of variation beh...
[ { "created": "Wed, 3 Mar 2021 22:32:39 GMT", "version": "v1" } ]
2021-03-09
[ [ "Wang", "Liya", "" ], [ "Lucic", "Panta", "" ], [ "Campbell", "Keith", "" ], [ "Wanke", "Craig", "" ] ]
Computing power, big data, and advancement of algorithms have led to a renewed interest in artificial intelligence (AI), especially in deep learning (DL). The success of DL largely lies on data representation because different representations can indicate to a degree the different explanatory factors of variation behin...