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2304.01237
Audrey Poinsot
Audrey Poinsot, Alessandro Leite
A Guide for Practical Use of ADMG Causal Data Augmentation
null
Workshop on the pitfalls of limited data and computation for Trustworthy ML, ICLR 2023, Kigali, Rwanda
null
null
cs.LG stat.ME
http://creativecommons.org/licenses/by/4.0/
Data augmentation is essential when applying Machine Learning in small-data regimes. It generates new samples following the observed data distribution while increasing their diversity and variability to help researchers and practitioners improve their models' robustness and, thus, deploy them in the real world. Never...
[ { "created": "Mon, 3 Apr 2023 09:31:13 GMT", "version": "v1" } ]
2023-04-10
[ [ "Poinsot", "Audrey", "" ], [ "Leite", "Alessandro", "" ] ]
Data augmentation is essential when applying Machine Learning in small-data regimes. It generates new samples following the observed data distribution while increasing their diversity and variability to help researchers and practitioners improve their models' robustness and, thus, deploy them in the real world. Neverth...
1304.4383
Alireza Karbalay-Ghareh
Alireza Karbalay-Ghareh, Masoumeh Nasiri-Kenari, and Mohsen Hejazi
Convolutional Network-Coded Cooperation in Multi-Source Networks with a Multi-Antenna Relay
23 pages, 9 figures, 1 table, submitted to IEEE Transactions on Wireless Communications
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel cooperative transmission scheme called "Convolutional Network-Coded Cooperation" (CNCC) for a network including N sources, one M-antenna relay, and one common destination. The source-relay (S-R) channels are assumed to be Nakagami-m fading, while the source-destination (S-D) and the relay-destinati...
[ { "created": "Tue, 16 Apr 2013 09:54:03 GMT", "version": "v1" }, { "created": "Sun, 1 Sep 2013 09:31:33 GMT", "version": "v2" } ]
2013-09-03
[ [ "Karbalay-Ghareh", "Alireza", "" ], [ "Nasiri-Kenari", "Masoumeh", "" ], [ "Hejazi", "Mohsen", "" ] ]
We propose a novel cooperative transmission scheme called "Convolutional Network-Coded Cooperation" (CNCC) for a network including N sources, one M-antenna relay, and one common destination. The source-relay (S-R) channels are assumed to be Nakagami-m fading, while the source-destination (S-D) and the relay-destination...
1508.04030
Mohammad Vahid Jamali
Mohammad Vahid Jamali, Farhad Akhoundi, Jawad A. Salehi
Performance Characterization of Relay-Assisted Wireless Optical CDMA Networks in Turbulent Underwater Channel
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we characterize the performance of relay-assisted underwater wireless optical code division multiple access (OCDMA) networks over turbulent channels. In addition to scattering and absorption effects of underwater channels, we also consider optical turbulence as a log-normal fading coefficient in our an...
[ { "created": "Mon, 17 Aug 2015 13:58:58 GMT", "version": "v1" }, { "created": "Wed, 28 Oct 2015 14:52:25 GMT", "version": "v2" }, { "created": "Mon, 22 Feb 2016 19:57:53 GMT", "version": "v3" } ]
2016-02-23
[ [ "Jamali", "Mohammad Vahid", "" ], [ "Akhoundi", "Farhad", "" ], [ "Salehi", "Jawad A.", "" ] ]
In this paper, we characterize the performance of relay-assisted underwater wireless optical code division multiple access (OCDMA) networks over turbulent channels. In addition to scattering and absorption effects of underwater channels, we also consider optical turbulence as a log-normal fading coefficient in our anal...
1505.01231
Yongpeng Wu
Yongpeng Wu, Robert Schober, Derrick Wing Kwan Ng, Chengshan Xiao, and Giuseppe Caire
Secure Massive MIMO Transmission in the Presence of an Active Eavesdropper
To appear in ICC 15
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems in the presence of an active eavesdropper. We consider a time-division duplex system where uplink training is required and an active eavesdropper can attack the tra...
[ { "created": "Wed, 6 May 2015 00:55:27 GMT", "version": "v1" } ]
2015-05-07
[ [ "Wu", "Yongpeng", "" ], [ "Schober", "Robert", "" ], [ "Ng", "Derrick Wing Kwan", "" ], [ "Xiao", "Chengshan", "" ], [ "Caire", "Giuseppe", "" ] ]
In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-user massive multiple-input multiple-output (MIMO) systems in the presence of an active eavesdropper. We consider a time-division duplex system where uplink training is required and an active eavesdropper can attack the train...
1602.03139
Jeremie Guiochet
J\'er\'emie Guiochet (LAAS-TSF)
Hazard analysis of human--robot interactions with HAZOP--UML
null
Safety Science, Elsevier, 2016, 84
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
New safety critical systems are about to appear in our everyday life: advanced robots able to interact with humans and perform tasks at home, in hospitals , or at work. A hazardous behavior of those systems, induced by failures or extreme environment conditions, may lead to catastrophic consequences. Well-known risk ...
[ { "created": "Tue, 9 Feb 2016 19:51:42 GMT", "version": "v1" } ]
2016-02-10
[ [ "Guiochet", "Jérémie", "", "LAAS-TSF" ] ]
New safety critical systems are about to appear in our everyday life: advanced robots able to interact with humans and perform tasks at home, in hospitals , or at work. A hazardous behavior of those systems, induced by failures or extreme environment conditions, may lead to catastrophic consequences. Well-known risk an...
2005.02392
Matteo Tiezzi
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci and Marco Maggini
Deep Constraint-based Propagation in Graph Neural Networks
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: text overlap with arXiv:2002.07684
null
10.1109/TPAMI.2021.3073504
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented using graphs, inspired by Graph Neural Networks (GNNs). We focus our attention on the originally proposed GNN model of Scarselli et al. 2009, which encodes the state of th...
[ { "created": "Tue, 5 May 2020 16:50:59 GMT", "version": "v1" }, { "created": "Wed, 27 May 2020 08:35:58 GMT", "version": "v2" }, { "created": "Mon, 8 Jun 2020 11:18:14 GMT", "version": "v3" }, { "created": "Mon, 19 Apr 2021 19:21:06 GMT", "version": "v4" }, { "cre...
2021-09-02
[ [ "Tiezzi", "Matteo", "" ], [ "Marra", "Giuseppe", "" ], [ "Melacci", "Stefano", "" ], [ "Maggini", "Marco", "" ] ]
The popularity of deep learning techniques renewed the interest in neural architectures able to process complex structures that can be represented using graphs, inspired by Graph Neural Networks (GNNs). We focus our attention on the originally proposed GNN model of Scarselli et al. 2009, which encodes the state of the ...
2403.15272
Jialu Wang
Jialu Wang, Kaichen Zhou, Andrew Markham and Niki Trigoni
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Despite the advancements in deep learning for camera relocalization tasks, obtaining ground truth pose labels required for the training process remains a costly endeavor. While current weakly supervised methods excel in lightweight label generation, their performance notably declines in scenarios with sparse views. I...
[ { "created": "Fri, 22 Mar 2024 15:15:44 GMT", "version": "v1" } ]
2024-03-25
[ [ "Wang", "Jialu", "" ], [ "Zhou", "Kaichen", "" ], [ "Markham", "Andrew", "" ], [ "Trigoni", "Niki", "" ] ]
Despite the advancements in deep learning for camera relocalization tasks, obtaining ground truth pose labels required for the training process remains a costly endeavor. While current weakly supervised methods excel in lightweight label generation, their performance notably declines in scenarios with sparse views. In ...
2104.01111
Xiaojun Chang
Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, and Alex Hauptmann
A Comprehensive Survey of Scene Graphs: Generation and Application
25 pages
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
10.1109/TPAMI.2021.3137605
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Scene graph is a structured representation of a scene that can clearly express the objects, attributes, and relationships between objects in the scene. As computer vision technology continues to develop, people are no longer satisfied with simply detecting and recognizing objects in images; instead, people look forwa...
[ { "created": "Wed, 17 Mar 2021 04:24:20 GMT", "version": "v1" }, { "created": "Sat, 4 Sep 2021 04:07:08 GMT", "version": "v2" }, { "created": "Mon, 11 Oct 2021 23:27:54 GMT", "version": "v3" }, { "created": "Tue, 21 Dec 2021 02:24:22 GMT", "version": "v4" }, { "cr...
2022-01-10
[ [ "Chang", "Xiaojun", "" ], [ "Ren", "Pengzhen", "" ], [ "Xu", "Pengfei", "" ], [ "Li", "Zhihui", "" ], [ "Chen", "Xiaojiang", "" ], [ "Hauptmann", "Alex", "" ] ]
Scene graph is a structured representation of a scene that can clearly express the objects, attributes, and relationships between objects in the scene. As computer vision technology continues to develop, people are no longer satisfied with simply detecting and recognizing objects in images; instead, people look forward...
2404.14625
Alican Mertan
Alican Mertan and Nick Cheney
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
Accepted at the Genetic and Evolutionary Computation Conference 2024 Evolutionary Machine Learning track as a full paper
null
10.1145/3638529.3654013
null
cs.RO cs.LG cs.NE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Finding controllers that perform well across multiple morphologies is an important milestone for large-scale robotics, in line with recent advances via foundation models in other areas of machine learning. However, the challenges of learning a single controller to control multiple morphologies make the `one robot one...
[ { "created": "Mon, 22 Apr 2024 23:40:03 GMT", "version": "v1" } ]
2024-04-24
[ [ "Mertan", "Alican", "" ], [ "Cheney", "Nick", "" ] ]
Finding controllers that perform well across multiple morphologies is an important milestone for large-scale robotics, in line with recent advances via foundation models in other areas of machine learning. However, the challenges of learning a single controller to control multiple morphologies make the `one robot one t...
1208.5740
J K M Sadique Uz Zaman
J K M Sadique Uz Zaman and Ranjan Ghosh
A Review Study of NIST Statistical Test Suite: Development of an indigenous Computer Package
24 pages, 5 figures, 1 table
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A review study of NIST Statistical Test Suite is undertaken with a motivation to understand all its test algorithms and to write their C codes independently without looking at various sites mentioned in the NIST document. All the codes are tested with the test data given in the NIST document and excellent agreements ...
[ { "created": "Tue, 28 Aug 2012 18:28:09 GMT", "version": "v1" } ]
2012-08-29
[ [ "Zaman", "J K M Sadique Uz", "" ], [ "Ghosh", "Ranjan", "" ] ]
A review study of NIST Statistical Test Suite is undertaken with a motivation to understand all its test algorithms and to write their C codes independently without looking at various sites mentioned in the NIST document. All the codes are tested with the test data given in the NIST document and excellent agreements ha...
0706.1780
Marie-France Ango-Obiang
Marie-France Ango-Obiang (SITE, Loria)
Le travail collaboratif dans le cadre d'un projet architectural
null
Dans Innovation et tradition de l'association internationale Management Strat\'egique (2007)
null
null
cs.HC
null
The analysis of the practices and the tendencies of the users at the time of the search for information on Internet makes it possible to highlight several points. The search for information becomes powerful after knowledge of the typology of the various systems of research. This typology supports the adoption of a me...
[ { "created": "Tue, 12 Jun 2007 20:06:38 GMT", "version": "v1" } ]
2007-06-14
[ [ "Ango-Obiang", "Marie-France", "", "SITE, Loria" ] ]
The analysis of the practices and the tendencies of the users at the time of the search for information on Internet makes it possible to highlight several points. The search for information becomes powerful after knowledge of the typology of the various systems of research. This typology supports the adoption of a meth...
2404.13257
Zhiqi Shao
Zhiqi Shao, Michael G.H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi and Junbin Gao
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction
25 pages, 6 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Traffic flow prediction, a critical aspect of intelligent transportation systems, has been increasingly popular in the field of artificial intelligence, driven by the availability of extensive traffic data. The current challenges of traffic flow prediction lie in integrating diverse factors while balancing the trade-...
[ { "created": "Sat, 20 Apr 2024 03:57:57 GMT", "version": "v1" }, { "created": "Sat, 18 May 2024 05:10:36 GMT", "version": "v2" } ]
2024-05-21
[ [ "Shao", "Zhiqi", "" ], [ "Bell", "Michael G. H.", "" ], [ "Wang", "Ze", "" ], [ "Geers", "D. Glenn", "" ], [ "Xi", "Haoning", "" ], [ "Gao", "Junbin", "" ] ]
Traffic flow prediction, a critical aspect of intelligent transportation systems, has been increasingly popular in the field of artificial intelligence, driven by the availability of extensive traffic data. The current challenges of traffic flow prediction lie in integrating diverse factors while balancing the trade-of...
2406.03756
Zizhou Huang
Federico Sichetti, Zizhou Huang, Marco Attene, Denis Zorin, Enrico Puppo, Daniele Panozzo
High-Order Continuous Geometrical Validity
null
null
null
null
cs.CG cs.GR
http://creativecommons.org/licenses/by/4.0/
We propose a conservative algorithm to test the geometrical validity of simplicial (triangles, tetrahedra), tensor product (quadrilaterals, hexahedra), and mixed (prisms) elements of arbitrary polynomial order as they deform over a piecewise-linear trajectory. Our algorithm uses a combination of adaptive B\'ezier r...
[ { "created": "Thu, 6 Jun 2024 05:41:30 GMT", "version": "v1" } ]
2024-06-07
[ [ "Sichetti", "Federico", "" ], [ "Huang", "Zizhou", "" ], [ "Attene", "Marco", "" ], [ "Zorin", "Denis", "" ], [ "Puppo", "Enrico", "" ], [ "Panozzo", "Daniele", "" ] ]
We propose a conservative algorithm to test the geometrical validity of simplicial (triangles, tetrahedra), tensor product (quadrilaterals, hexahedra), and mixed (prisms) elements of arbitrary polynomial order as they deform over a piecewise-linear trajectory. Our algorithm uses a combination of adaptive B\'ezier refin...
1608.08242
Colin Lea
Colin Lea, Rene Vidal, Austin Reiter, Gregory D. Hager
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Submitted to the ECCV workshop on "Brave new ideas for motion representations in videos" (http://bravenewmotion.github.io/)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The dominant paradigm for video-based action segmentation is composed of two steps: first, for each frame, compute low-level features using Dense Trajectories or a Convolutional Neural Network that encode spatiotemporal information locally, and second, input these features into a classifier that captures high-level t...
[ { "created": "Mon, 29 Aug 2016 20:48:15 GMT", "version": "v1" } ]
2016-08-31
[ [ "Lea", "Colin", "" ], [ "Vidal", "Rene", "" ], [ "Reiter", "Austin", "" ], [ "Hager", "Gregory D.", "" ] ]
The dominant paradigm for video-based action segmentation is composed of two steps: first, for each frame, compute low-level features using Dense Trajectories or a Convolutional Neural Network that encode spatiotemporal information locally, and second, input these features into a classifier that captures high-level tem...
2104.14744
Sam Ganzfried
Sam Ganzfried
Human strategic decision making in parametrized games
fixed typo in proof
null
null
null
cs.GT cs.AI cs.LG econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Of...
[ { "created": "Fri, 30 Apr 2021 03:40:27 GMT", "version": "v1" }, { "created": "Thu, 5 Aug 2021 01:10:10 GMT", "version": "v2" }, { "created": "Sun, 7 Nov 2021 07:59:22 GMT", "version": "v3" } ]
2021-11-09
[ [ "Ganzfried", "Sam", "" ] ]
Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Ofte...
2001.02431
Marco Mamprin Mr.
Marco Mamprin, Jo M. Zelis, Pim A.L. Tonino, Svitlana Zinger, Peter H.N. de With
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
null
null
null
null
cs.LG cs.CY stat.ML
http://creativecommons.org/licenses/by/4.0/
Current prognostic risk scores in cardiac surgery are based on statistics and do not yet benefit from machine learning. Statistical predictors are not robust enough to correctly identify patients who would benefit from Transcatheter Aortic Valve Implantation (TAVI). This research aims to create a machine learning mod...
[ { "created": "Wed, 8 Jan 2020 10:04:42 GMT", "version": "v1" } ]
2020-01-09
[ [ "Mamprin", "Marco", "" ], [ "Zelis", "Jo M.", "" ], [ "Tonino", "Pim A. L.", "" ], [ "Zinger", "Svitlana", "" ], [ "de With", "Peter H. N.", "" ] ]
Current prognostic risk scores in cardiac surgery are based on statistics and do not yet benefit from machine learning. Statistical predictors are not robust enough to correctly identify patients who would benefit from Transcatheter Aortic Valve Implantation (TAVI). This research aims to create a machine learning model...
2001.08546
Preslav Nakov
Alberto Barron-Cedeno, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, and Fatima Haouari
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media
Computational journalism, Check-worthiness, Fact-checking, Veracity, CLEF-2020 CheckThat! Lab
CLEF-2018 ECIR-2020
null
null
cs.CL cs.AI cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish. Task 1 asks to predict which tweets in a Twitter stream are worth ...
[ { "created": "Tue, 21 Jan 2020 06:47:11 GMT", "version": "v1" } ]
2020-01-24
[ [ "Barron-Cedeno", "Alberto", "" ], [ "Elsayed", "Tamer", "" ], [ "Nakov", "Preslav", "" ], [ "Martino", "Giovanni Da San", "" ], [ "Hasanain", "Maram", "" ], [ "Suwaileh", "Reem", "" ], [ "Haouari", "Fatima", ...
We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in English, Arabic, and Spanish. Task 1 asks to predict which tweets in a Twitter stream are worth fa...
2402.09811
Badri Vishal Kasuba
Dhruv Kudale, Badri Vishal Kasuba, Venkatapathy Subramanian, Parag Chaudhuri, Ganesh Ramakrishnan
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
Accepted at the WACV 2024 Conference
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Several recent deep learning (DL) based techniques perform considerably well on image-based multilingual text detection. However, their performance relies heavily on the availability and quality of training data. There are numerous types of page-level document images consisting of information in several modalities, l...
[ { "created": "Thu, 15 Feb 2024 09:18:18 GMT", "version": "v1" } ]
2024-02-16
[ [ "Kudale", "Dhruv", "" ], [ "Kasuba", "Badri Vishal", "" ], [ "Subramanian", "Venkatapathy", "" ], [ "Chaudhuri", "Parag", "" ], [ "Ramakrishnan", "Ganesh", "" ] ]
Several recent deep learning (DL) based techniques perform considerably well on image-based multilingual text detection. However, their performance relies heavily on the availability and quality of training data. There are numerous types of page-level document images consisting of information in several modalities, lan...
2005.01562
Jiakuo Zuo
Jiakuo Zuo, Yuanwei Liu, Ertugrul Basar, and Octavia A. Dobre
Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a downlink intelligent reflecting surface (IRS) enhanced millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) system is considered. A joint optimization problem over active beamforming, passive beamforming and power allocation is formulated. Due to the highly coupled variables, the formulated...
[ { "created": "Mon, 4 May 2020 15:25:21 GMT", "version": "v1" } ]
2020-05-05
[ [ "Zuo", "Jiakuo", "" ], [ "Liu", "Yuanwei", "" ], [ "Basar", "Ertugrul", "" ], [ "Dobre", "Octavia A.", "" ] ]
In this paper, a downlink intelligent reflecting surface (IRS) enhanced millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) system is considered. A joint optimization problem over active beamforming, passive beamforming and power allocation is formulated. Due to the highly coupled variables, the formulated o...
2206.03727
Jun Yan
Jun Yan, Huilin Yin, Xiaoyang Deng, Ziming Zhao, Wancheng Ge, Hao Zhang, Gerhard Rigoll
Wavelet Regularization Benefits Adversarial Training
Preprint version
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Adversarial training methods are state-of-the-art (SOTA) empirical defense methods against adversarial examples. Many regularization methods have been proven to be effective with the combination of adversarial training. Nevertheless, such regularization methods are implemented in the time domain. Since adversarial vu...
[ { "created": "Wed, 8 Jun 2022 08:00:30 GMT", "version": "v1" } ]
2022-06-09
[ [ "Yan", "Jun", "" ], [ "Yin", "Huilin", "" ], [ "Deng", "Xiaoyang", "" ], [ "Zhao", "Ziming", "" ], [ "Ge", "Wancheng", "" ], [ "Zhang", "Hao", "" ], [ "Rigoll", "Gerhard", "" ] ]
Adversarial training methods are state-of-the-art (SOTA) empirical defense methods against adversarial examples. Many regularization methods have been proven to be effective with the combination of adversarial training. Nevertheless, such regularization methods are implemented in the time domain. Since adversarial vuln...
1702.06154
Sibo Cheng Sibo Cheng
Sibo Cheng, Adissa Laurent, Paul Van Dooren
Role model detection using low rank similarity matrix
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing meaningful clusters of nodes is crucial to analyse large networks. In this paper, we apply new clustering methods to improve the computational time. We use the properties of the adjacency matrix to obtain better role extraction. We also define a new non-recursive similarity measure and compare its results w...
[ { "created": "Sat, 28 Jan 2017 15:53:23 GMT", "version": "v1" } ]
2017-02-22
[ [ "Cheng", "Sibo", "" ], [ "Laurent", "Adissa", "" ], [ "Van Dooren", "Paul", "" ] ]
Computing meaningful clusters of nodes is crucial to analyse large networks. In this paper, we apply new clustering methods to improve the computational time. We use the properties of the adjacency matrix to obtain better role extraction. We also define a new non-recursive similarity measure and compare its results wit...
2009.00541
Mikhail Jacob
Mikhail Jacob, Sam Devlin, Katja Hofmann
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games
7 pages, 3 figures, to be published in the 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20)
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Game agents such as opponents, non-player characters, and teammates are central to player experiences in many modern games. As the landscape of AI techniques used in the games industry evolves to adopt machine learning (ML) more widely, it is vital that the research community learn from the best practices cultivated ...
[ { "created": "Tue, 1 Sep 2020 16:21:19 GMT", "version": "v1" } ]
2020-09-02
[ [ "Jacob", "Mikhail", "" ], [ "Devlin", "Sam", "" ], [ "Hofmann", "Katja", "" ] ]
Game agents such as opponents, non-player characters, and teammates are central to player experiences in many modern games. As the landscape of AI techniques used in the games industry evolves to adopt machine learning (ML) more widely, it is vital that the research community learn from the best practices cultivated wi...
2312.10336
Jiaqi Liu
Jiaqi Liu, Jian Lou, Zhan Qin and Kui Ren
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
NeurIPS 2023
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We study the problem of $(\epsilon,\delta)$-certified machine unlearning for minimax models. Most of the existing works focus on unlearning from standard statistical learning models that have a single variable and their unlearning steps hinge on the direct Hessian-based conventional Newton update. We develop a new $(...
[ { "created": "Sat, 16 Dec 2023 06:03:23 GMT", "version": "v1" } ]
2023-12-19
[ [ "Liu", "Jiaqi", "" ], [ "Lou", "Jian", "" ], [ "Qin", "Zhan", "" ], [ "Ren", "Kui", "" ] ]
We study the problem of $(\epsilon,\delta)$-certified machine unlearning for minimax models. Most of the existing works focus on unlearning from standard statistical learning models that have a single variable and their unlearning steps hinge on the direct Hessian-based conventional Newton update. We develop a new $(\e...
2002.04109
Beril Sirmacek
Nicol\`o Botteghi, Beril Sirmacek, Khaled A. A. Mustafa, Mannes Poel and Stefano Stramigioli
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
null
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a map-less path planning algorithm based on Deep Reinforcement Learning (DRL) for mobile robots navigating in unknown environment that only relies on 40-dimensional raw laser data and odometry information. The planner is trained using a reward function shaped based on the online knowledge of the map of the...
[ { "created": "Mon, 10 Feb 2020 22:00:16 GMT", "version": "v1" } ]
2020-02-12
[ [ "Botteghi", "Nicolò", "" ], [ "Sirmacek", "Beril", "" ], [ "Mustafa", "Khaled A. A.", "" ], [ "Poel", "Mannes", "" ], [ "Stramigioli", "Stefano", "" ] ]
We present a map-less path planning algorithm based on Deep Reinforcement Learning (DRL) for mobile robots navigating in unknown environment that only relies on 40-dimensional raw laser data and odometry information. The planner is trained using a reward function shaped based on the online knowledge of the map of the t...
2007.15829
Yadan Luo
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Proceedings of the 28th ACM International Conference on Multimedia (MM '20)
null
10.1145/3394171.3413897
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain adaptation techniques, which focus on adapting models between distributionally different domains, are rarely explored in the video recognition area due to the significant spatial and temporal shifts across the source (i.e. training) and target (i.e. test) domains. As such, recent works on visual domain adaptat...
[ { "created": "Fri, 31 Jul 2020 03:48:41 GMT", "version": "v1" } ]
2020-08-03
[ [ "Luo", "Yadan", "" ], [ "Huang", "Zi", "" ], [ "Wang", "Zijian", "" ], [ "Zhang", "Zheng", "" ], [ "Baktashmotlagh", "Mahsa", "" ] ]
Domain adaptation techniques, which focus on adapting models between distributionally different domains, are rarely explored in the video recognition area due to the significant spatial and temporal shifts across the source (i.e. training) and target (i.e. test) domains. As such, recent works on visual domain adaptatio...
1603.05823
Ligong Wang
Ligong Wang
Optimal Throughput for Covert Communication Over a Classical-Quantum Channel
Corrected version of a paper presented at ITW 2016. In the ITW paper, the denominator in the main formula (10) was incorrect. The current version corrects this mistake and adds an appendix for its derivation
null
null
null
cs.IT math.IT quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of communication over a memoryless classical-quantum wiretap channel subject to the constraint that the eavesdropper on the channel should not be able to learn whether the legitimate parties are using the channel to communicate or not. Specifically, the relative entropy between the ou...
[ { "created": "Fri, 18 Mar 2016 10:36:09 GMT", "version": "v1" }, { "created": "Thu, 16 Jun 2016 12:32:45 GMT", "version": "v2" }, { "created": "Tue, 7 Mar 2017 15:46:09 GMT", "version": "v3" } ]
2017-03-08
[ [ "Wang", "Ligong", "" ] ]
This paper considers the problem of communication over a memoryless classical-quantum wiretap channel subject to the constraint that the eavesdropper on the channel should not be able to learn whether the legitimate parties are using the channel to communicate or not. Specifically, the relative entropy between the outp...
1906.08393
Renjie Zheng
Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, Liang Huang
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report
accepted by WMT 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Translation of social media is a very challenging problem, since its style is very different from normal parallel corpora (e.g. News) and also in...
[ { "created": "Wed, 19 Jun 2019 23:20:57 GMT", "version": "v1" }, { "created": "Sat, 22 Jun 2019 16:07:24 GMT", "version": "v2" } ]
2019-06-25
[ [ "Zheng", "Renjie", "" ], [ "Liu", "Hairong", "" ], [ "Ma", "Mingbo", "" ], [ "Zheng", "Baigong", "" ], [ "Huang", "Liang", "" ] ]
This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Translation of social media is a very challenging problem, since its style is very different from normal parallel corpora (e.g. News) and also incl...
2304.07531
Daniel Feitosa
Daniel Feitosa, Matei-Tudor Penca, Massimiliano Berardi, Rares-Dorian Boza and Vasilios Andrikopoulos
Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications: an Exploratory Study
16 pages, 11 figures, 1 table
null
10.1016/j.jss.2024.112112
null
cs.SE
http://creativecommons.org/licenses/by-sa/4.0/
Context: The popularity of cloud computing as the primary platform for developing, deploying, and delivering software is largely driven by the promise of cost savings. Therefore, it is surprising that no empirical evidence has been collected to determine whether cost awareness permeates the development process and ho...
[ { "created": "Sat, 15 Apr 2023 10:49:35 GMT", "version": "v1" }, { "created": "Sun, 24 Dec 2023 12:01:06 GMT", "version": "v2" }, { "created": "Thu, 11 Apr 2024 15:03:56 GMT", "version": "v3" } ]
2024-05-28
[ [ "Feitosa", "Daniel", "" ], [ "Penca", "Matei-Tudor", "" ], [ "Berardi", "Massimiliano", "" ], [ "Boza", "Rares-Dorian", "" ], [ "Andrikopoulos", "Vasilios", "" ] ]
Context: The popularity of cloud computing as the primary platform for developing, deploying, and delivering software is largely driven by the promise of cost savings. Therefore, it is surprising that no empirical evidence has been collected to determine whether cost awareness permeates the development process and how ...
1811.00989
David A. Monge
David A. Monge (1), Elina Pacini (1, 2), Cristian Mateos (3), Enrique Alba (4), Carlos Garc\'ia Garino (1) ((1) ITIC, Universidad Nacional de Cuyo. Mendoza, Argentina, (2) Consejo Nacional de Investigaciones Cient\'ificas y T\'ecnicas (CONICET). Argentina., (3) ISISTAN-UNICEN-CONICET. Tandil, Buenos Aires, Arge...
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines
19 pages, 3 figures
null
null
null
cs.NE cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud Computing is becoming the leading paradigm for executing scientific and engineering workflows. The large-scale nature of the experiments they model and their variable workloads make clouds the ideal execution environment due to prompt and elastic access to huge amounts of computing resources. Autoscalers are mi...
[ { "created": "Fri, 2 Nov 2018 17:11:57 GMT", "version": "v1" } ]
2018-11-05
[ [ "Monge", "David A.", "" ], [ "Pacini", "Elina", "" ], [ "Mateos", "Cristian", "" ], [ "Alba", "Enrique", "" ], [ "Garino", "Carlos García", "" ] ]
Cloud Computing is becoming the leading paradigm for executing scientific and engineering workflows. The large-scale nature of the experiments they model and their variable workloads make clouds the ideal execution environment due to prompt and elastic access to huge amounts of computing resources. Autoscalers are midd...
2102.06491
Thanasis Zoumpekas
Thanasis Zoumpekas, Anna Puig, Maria Salam\'o, David Garc\'ia-Sell\'es, Laura Blanco Nu\~nez, Marta Guinau
End-to-End Intelligent Framework for Rockfall Detection
null
null
10.1002/int.22557
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Rockfall detection is a crucial procedure in the field of geology, which helps to reduce the associated risks. Currently, geologists identify rockfall events almost manually utilizing point cloud and imagery data obtained from different caption devices such as Terrestrial Laser Scanner or digital cameras. Multi-tempo...
[ { "created": "Fri, 12 Feb 2021 12:48:17 GMT", "version": "v1" } ]
2022-09-29
[ [ "Zoumpekas", "Thanasis", "" ], [ "Puig", "Anna", "" ], [ "Salamó", "Maria", "" ], [ "García-Sellés", "David", "" ], [ "Nuñez", "Laura Blanco", "" ], [ "Guinau", "Marta", "" ] ]
Rockfall detection is a crucial procedure in the field of geology, which helps to reduce the associated risks. Currently, geologists identify rockfall events almost manually utilizing point cloud and imagery data obtained from different caption devices such as Terrestrial Laser Scanner or digital cameras. Multi-tempora...
2407.01193
Francesco Barbato
Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
Accepted at IROS 2024, 8 pages, 4 figures, 6 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have seen object detection robotic systems deployed in several personal devices (e.g., home robots and appliances). This has highlighted a challenge in their design, i.e., they cannot efficiently update their knowledge to distinguish between general classes and user-specific instances (e.g., a dog vs. us...
[ { "created": "Mon, 1 Jul 2024 11:33:53 GMT", "version": "v1" } ]
2024-07-02
[ [ "Barbato", "Francesco", "" ], [ "Michieli", "Umberto", "" ], [ "Moon", "Jijoong", "" ], [ "Zanuttigh", "Pietro", "" ], [ "Ozay", "Mete", "" ] ]
Recent years have seen object detection robotic systems deployed in several personal devices (e.g., home robots and appliances). This has highlighted a challenge in their design, i.e., they cannot efficiently update their knowledge to distinguish between general classes and user-specific instances (e.g., a dog vs. user...
2302.05096
Yen-Ting Lin
Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
Accepted at EACL 2023
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work focuses on in-context data augmentation for intent detection. Having found that augmentation via in-context prompting of large pre-trained language models (PLMs) alone does not improve performance, we introduce a novel approach based on PLMs and pointwise V-information (PVI), a metric that can measure the u...
[ { "created": "Fri, 10 Feb 2023 07:37:49 GMT", "version": "v1" } ]
2023-02-13
[ [ "Lin", "Yen-Ting", "" ], [ "Papangelis", "Alexandros", "" ], [ "Kim", "Seokhwan", "" ], [ "Lee", "Sungjin", "" ], [ "Hazarika", "Devamanyu", "" ], [ "Namazifar", "Mahdi", "" ], [ "Jin", "Di", "" ], [ ...
This work focuses on in-context data augmentation for intent detection. Having found that augmentation via in-context prompting of large pre-trained language models (PLMs) alone does not improve performance, we introduce a novel approach based on PLMs and pointwise V-information (PVI), a metric that can measure the use...
2304.02284
Linzhi Huang
Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Accepted by CVPR 2023 workshop
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although face recognition has made impressive progress in recent years, we ignore the racial bias of the recognition system when we pursue a high level of accuracy. Previous work found that for different races, face recognition networks focus on different facial regions, and the sensitive regions of darker-skinned pe...
[ { "created": "Wed, 5 Apr 2023 08:13:31 GMT", "version": "v1" } ]
2023-04-06
[ [ "Huang", "Linzhi", "" ], [ "Wang", "Mei", "" ], [ "Liang", "Jiahao", "" ], [ "Deng", "Weihong", "" ], [ "Shi", "Hongzhi", "" ], [ "Wen", "Dongchao", "" ], [ "Zhang", "Yingjie", "" ], [ "Zhao", "...
Although face recognition has made impressive progress in recent years, we ignore the racial bias of the recognition system when we pursue a high level of accuracy. Previous work found that for different races, face recognition networks focus on different facial regions, and the sensitive regions of darker-skinned peop...
2006.06969
Wolfgang Fuhl
Wolfgang Fuhl and Enkelejda Kasneci
Multi Layer Neural Networks as Replacement for Pooling Operations
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pooling operations, which can be calculated at low cost and serve as a linear or nonlinear transfer function for data reduction, are found in almost every modern neural network. Countless modern approaches have already tackled replacing the common maximum value selection and mean value operations, not to mention prov...
[ { "created": "Fri, 12 Jun 2020 07:08:38 GMT", "version": "v1" }, { "created": "Fri, 2 Oct 2020 07:03:37 GMT", "version": "v2" }, { "created": "Fri, 30 Oct 2020 14:23:00 GMT", "version": "v3" }, { "created": "Sun, 17 Jan 2021 12:02:52 GMT", "version": "v4" } ]
2021-01-19
[ [ "Fuhl", "Wolfgang", "" ], [ "Kasneci", "Enkelejda", "" ] ]
Pooling operations, which can be calculated at low cost and serve as a linear or nonlinear transfer function for data reduction, are found in almost every modern neural network. Countless modern approaches have already tackled replacing the common maximum value selection and mean value operations, not to mention provid...
1810.10927
Ekaterina Lobacheva Ms
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov
Bayesian Compression for Natural Language Processing
Published in EMNLP 2018
null
null
null
cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In natural language processing, a lot of the tasks are successfully solved with recurrent neural networks, but such models have a huge number of parameters. The majority of these parameters are often concentrated in the embedding layer, which size grows proportionally to the vocabulary length. We propose a Bayesian s...
[ { "created": "Thu, 25 Oct 2018 15:27:23 GMT", "version": "v1" }, { "created": "Wed, 12 Dec 2018 17:18:13 GMT", "version": "v2" } ]
2018-12-13
[ [ "Chirkova", "Nadezhda", "" ], [ "Lobacheva", "Ekaterina", "" ], [ "Vetrov", "Dmitry", "" ] ]
In natural language processing, a lot of the tasks are successfully solved with recurrent neural networks, but such models have a huge number of parameters. The majority of these parameters are often concentrated in the embedding layer, which size grows proportionally to the vocabulary length. We propose a Bayesian spa...
2105.04183
Zhiyong Cheng
Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li
UGRec: Modeling Directed and Undirected Relations for Recommendation
Accepted as a long paper in SIGIR 2021
null
null
null
cs.IR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recommender systems, which merely leverage user-item interactions for user preference prediction (such as the collaborative filtering-based ones), often face dramatic performance degradation when the interactions of users or items are insufficient. In recent years, various types of side information have been explored...
[ { "created": "Mon, 10 May 2021 08:20:29 GMT", "version": "v1" } ]
2021-05-11
[ [ "Zhao", "Xinxiao", "" ], [ "Cheng", "Zhiyong", "" ], [ "Zhu", "Lei", "" ], [ "Zheng", "Jiecai", "" ], [ "Li", "Xueqing", "" ] ]
Recommender systems, which merely leverage user-item interactions for user preference prediction (such as the collaborative filtering-based ones), often face dramatic performance degradation when the interactions of users or items are insufficient. In recent years, various types of side information have been explored t...
2209.07833
Jaron Skovsted Gundersen
Qiongxiu Li and Jaron Skovsted Gundersen and Katrine Tjell and Rafal Wisniewski and Mads Gr{\ae}sb{\o}ll Christensen
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
null
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 4263-4267
10.1109/ICASSP43922.2022.9746144
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
Privacy has become a major concern in machine learning. In fact, the federated learning is motivated by the privacy concern as it does not allow to transmit the private data but only intermediate updates. However, federated learning does not always guarantee privacy-preservation as the intermediate updates may also r...
[ { "created": "Fri, 16 Sep 2022 09:58:03 GMT", "version": "v1" } ]
2022-09-19
[ [ "Li", "Qiongxiu", "" ], [ "Gundersen", "Jaron Skovsted", "" ], [ "Tjell", "Katrine", "" ], [ "Wisniewski", "Rafal", "" ], [ "Christensen", "Mads Græsbøll", "" ] ]
Privacy has become a major concern in machine learning. In fact, the federated learning is motivated by the privacy concern as it does not allow to transmit the private data but only intermediate updates. However, federated learning does not always guarantee privacy-preservation as the intermediate updates may also rev...
1903.12079
Charith Perera
Nader Sohrabi Safa, Carsten Maple, Steve Furnell, Muhammad Ajmal Azad, Charith Perera, Mohammad Dabbagh, Mehdi Sookhak
Deterrence and Prevention-based Model to Mitigate Information Security Insider Threats in Organisations
null
Future Generation Computer Systems (FGCS) 2019
null
null
cs.CY cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous studies show that information security breaches and privacy violations are important issues for organisations and people. It is acknowledged that decreasing the risk in this domain requires consideration of the technological aspects of information security alongside human aspects. Employees intentionally or ...
[ { "created": "Fri, 15 Mar 2019 13:32:05 GMT", "version": "v1" } ]
2019-03-29
[ [ "Safa", "Nader Sohrabi", "" ], [ "Maple", "Carsten", "" ], [ "Furnell", "Steve", "" ], [ "Azad", "Muhammad Ajmal", "" ], [ "Perera", "Charith", "" ], [ "Dabbagh", "Mohammad", "" ], [ "Sookhak", "Mehdi", "" ...
Previous studies show that information security breaches and privacy violations are important issues for organisations and people. It is acknowledged that decreasing the risk in this domain requires consideration of the technological aspects of information security alongside human aspects. Employees intentionally or un...
1810.05325
Hangguan Shan
Hangguan Shan, Taojie Qin, Guanding Yu, Lin X. Cai, Yu Cheng, Tony Q. S. Quek
Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI
submitted to IEEE Transactions on Green Communications and Networking
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
To coexist with Wi-Fi friendly, a standalone long-term evolution network over unlicensed spectrum (LTE-U) under listen-before-talk (LBT) mechanism can only access channel in a random and intermittent way, which results in random and time-variant delay in both data and signaling transmissions. In this work, we explore...
[ { "created": "Fri, 12 Oct 2018 02:53:02 GMT", "version": "v1" } ]
2018-10-15
[ [ "Shan", "Hangguan", "" ], [ "Qin", "Taojie", "" ], [ "Yu", "Guanding", "" ], [ "Cai", "Lin X.", "" ], [ "Cheng", "Yu", "" ], [ "Quek", "Tony Q. S.", "" ] ]
To coexist with Wi-Fi friendly, a standalone long-term evolution network over unlicensed spectrum (LTE-U) under listen-before-talk (LBT) mechanism can only access channel in a random and intermittent way, which results in random and time-variant delay in both data and signaling transmissions. In this work, we explore t...
1711.01454
Zahra Ghodsi
Zahra Ghodsi, Siddharth Garg, Ramesh Karri
Optimal Checkpointing for Secure Intermittently-Powered IoT Devices
ICCAD 2017
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Energy harvesting is a promising solution to power Internet of Things (IoT) devices. Due to the intermittent nature of these energy sources, one cannot guarantee forward progress of program execution. Prior work has advocated for checkpointing the intermediate state to off-chip non-volatile memory (NVM). Encrypting c...
[ { "created": "Sat, 4 Nov 2017 15:51:32 GMT", "version": "v1" } ]
2017-11-07
[ [ "Ghodsi", "Zahra", "" ], [ "Garg", "Siddharth", "" ], [ "Karri", "Ramesh", "" ] ]
Energy harvesting is a promising solution to power Internet of Things (IoT) devices. Due to the intermittent nature of these energy sources, one cannot guarantee forward progress of program execution. Prior work has advocated for checkpointing the intermediate state to off-chip non-volatile memory (NVM). Encrypting che...
2002.00168
Ying Cui
Yuhang Jia, Chencheng Ye, and Ying Cui
Analysis and Optimization of an Intelligent Reflecting Surface-assisted System with Interference
14 pages, 9 figures, to appear in IEEE Trans. Wireless Commun
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study an intelligent reflecting surface (IRS)-assisted system where a multi-antenna base station (BS) serves a single-antenna user with the help of a multi-element IRS in the presence of interference generated by a multi-antenna BS serving its own single-antenna user. The signal and interference lin...
[ { "created": "Sat, 1 Feb 2020 08:28:50 GMT", "version": "v1" }, { "created": "Fri, 21 Aug 2020 14:00:21 GMT", "version": "v2" }, { "created": "Thu, 24 Sep 2020 10:53:35 GMT", "version": "v3" } ]
2020-09-25
[ [ "Jia", "Yuhang", "" ], [ "Ye", "Chencheng", "" ], [ "Cui", "Ying", "" ] ]
In this paper, we study an intelligent reflecting surface (IRS)-assisted system where a multi-antenna base station (BS) serves a single-antenna user with the help of a multi-element IRS in the presence of interference generated by a multi-antenna BS serving its own single-antenna user. The signal and interference links...
1001.3242
Gopal Pandurangan
Jen-Yeu Chen and Gopal Pandurangan
Optimal Gossip-Based Aggregate Computation
null
null
null
null
cs.DS cs.CC cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the first provably almost-optimal gossip-based algorithms for aggregate computation that are both time optimal and message-optimal. Given a $n$-node network, our algorithms guarantee that all the nodes can compute the common aggregates (such as Min, Max, Count, Sum, Average, Rank etc.) of their values in o...
[ { "created": "Tue, 19 Jan 2010 09:51:48 GMT", "version": "v1" } ]
2010-01-20
[ [ "Chen", "Jen-Yeu", "" ], [ "Pandurangan", "Gopal", "" ] ]
We present the first provably almost-optimal gossip-based algorithms for aggregate computation that are both time optimal and message-optimal. Given a $n$-node network, our algorithms guarantee that all the nodes can compute the common aggregates (such as Min, Max, Count, Sum, Average, Rank etc.) of their values in opt...
2301.07757
Lucas Silva
Lucas de Oliveira Silva
Freeze-Tag is NP-Hard in 3D with $L_1$ distance
null
null
null
null
cs.CG cs.CC
http://creativecommons.org/licenses/by/4.0/
Arkin et al. in 2002 introduced a scheduling-like problem called Freeze-Tag Problem (FTP) motivated by robot swarm activation. The input consists of the locations of n mobile punctual robots in some metric space or graph. Only one begins "active", while the others are initially "frozen". All active robots can move at...
[ { "created": "Wed, 18 Jan 2023 19:45:31 GMT", "version": "v1" } ]
2023-01-20
[ [ "Silva", "Lucas de Oliveira", "" ] ]
Arkin et al. in 2002 introduced a scheduling-like problem called Freeze-Tag Problem (FTP) motivated by robot swarm activation. The input consists of the locations of n mobile punctual robots in some metric space or graph. Only one begins "active", while the others are initially "frozen". All active robots can move at u...
2206.12412
Henning M\"uller
Henning M\"uller, Ali Touil, Alexander Schl\"uter, Ralf M\"uller
Dynamic Propagation of Mode III Cracks in a Lattice Boltzmann Method for Solids
accepted for publication in Archive of Applied Mechanics
null
10.1007/s00419-022-02306-y
null
cs.CE physics.comp-ph
http://creativecommons.org/licenses/by/4.0/
This work presents concepts and algorithms for the simulation of dynamic fractures with a Lattice Boltzmann method (LBM) for linear elastic solids. This LBM has been presented previously and solves the wave equation, which is interpreted as the governing equation for antiplane shear deformation. Besides the steady gr...
[ { "created": "Thu, 23 Jun 2022 10:11:08 GMT", "version": "v1" }, { "created": "Tue, 25 Oct 2022 08:33:46 GMT", "version": "v2" } ]
2023-01-11
[ [ "Müller", "Henning", "" ], [ "Touil", "Ali", "" ], [ "Schlüter", "Alexander", "" ], [ "Müller", "Ralf", "" ] ]
This work presents concepts and algorithms for the simulation of dynamic fractures with a Lattice Boltzmann method (LBM) for linear elastic solids. This LBM has been presented previously and solves the wave equation, which is interpreted as the governing equation for antiplane shear deformation. Besides the steady grow...
2101.11287
Lucas Weber
Lucas Weber, Jaap Jumelet, Elia Bruni and Dieuwke Hupkes
Language Modelling as a Multi-Task Problem
Accepted for publication at EACL 2021
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose to study language modelling as a multi-task problem, bringing together three strands of research: multi-task learning, linguistics, and interpretability. Based on hypotheses derived from linguistic theory, we investigate whether language models adhere to learning principles of multi-task lea...
[ { "created": "Wed, 27 Jan 2021 09:47:42 GMT", "version": "v1" } ]
2021-01-28
[ [ "Weber", "Lucas", "" ], [ "Jumelet", "Jaap", "" ], [ "Bruni", "Elia", "" ], [ "Hupkes", "Dieuwke", "" ] ]
In this paper, we propose to study language modelling as a multi-task problem, bringing together three strands of research: multi-task learning, linguistics, and interpretability. Based on hypotheses derived from linguistic theory, we investigate whether language models adhere to learning principles of multi-task learn...
2401.10601
Dildar Ali
Dildar Ali, Tejash Gupta, Suman Banerjee, Yamuna Prasad
Influential Slot and Tag Selection in Billboard Advertisement
15 pages
null
null
null
cs.DS cs.DB
http://creativecommons.org/licenses/by/4.0/
The selection of influential billboard slots remains an important problem in billboard advertisements. Existing studies on this problem have not considered the case of context-specific influence probability. To bridge this gap, in this paper, we introduce the Context Dependent Influential Billboard Slot Selection Pro...
[ { "created": "Fri, 19 Jan 2024 10:19:34 GMT", "version": "v1" } ]
2024-01-22
[ [ "Ali", "Dildar", "" ], [ "Gupta", "Tejash", "" ], [ "Banerjee", "Suman", "" ], [ "Prasad", "Yamuna", "" ] ]
The selection of influential billboard slots remains an important problem in billboard advertisements. Existing studies on this problem have not considered the case of context-specific influence probability. To bridge this gap, in this paper, we introduce the Context Dependent Influential Billboard Slot Selection Probl...
0803.2639
Camilla Hollanti
Camilla Hollanti, Jyrki Lahtonen, Hsiao-feng Francis Lu
Maximal Orders in the Design of Dense Space-Time Lattice Codes
24 pages, 17 figures, revised version submitted to IEEE Trans. on Inform. Theory Dec. 2007, first version submitted Sep. 2006
IEEE Trans. Inf. Theory, vol. 54(10), Oct. 2008, pp. 4493-4510
10.1109/TIT.2008.928998
null
cs.IT cs.DM math.IT math.RA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We construct explicit rate-one, full-diversity, geometrically dense matrix lattices with large, non-vanishing determinants (NVD) for four transmit antenna multiple-input single-output (MISO) space-time (ST) applications. The constructions are based on the theory of rings of algebraic integers and related subrings of ...
[ { "created": "Tue, 18 Mar 2008 14:20:44 GMT", "version": "v1" } ]
2016-11-17
[ [ "Hollanti", "Camilla", "" ], [ "Lahtonen", "Jyrki", "" ], [ "Lu", "Hsiao-feng Francis", "" ] ]
We construct explicit rate-one, full-diversity, geometrically dense matrix lattices with large, non-vanishing determinants (NVD) for four transmit antenna multiple-input single-output (MISO) space-time (ST) applications. The constructions are based on the theory of rings of algebraic integers and related subrings of th...
2002.04425
Lu Bai
Lu Bai, Lixin Cui, Edwin R. Hancock
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
null
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we develop a new graph kernel, namely the Hierarchical Transitive-Aligned kernel, by transitively aligning the vertices between graphs through a family of hierarchical prototype graphs. Comparing to most existing state-of-the-art graph kernels, the proposed kernel has three theoretical advantages. Firs...
[ { "created": "Sat, 8 Feb 2020 11:46:25 GMT", "version": "v1" } ]
2020-02-12
[ [ "Bai", "Lu", "" ], [ "Cui", "Lixin", "" ], [ "Hancock", "Edwin R.", "" ] ]
In this paper, we develop a new graph kernel, namely the Hierarchical Transitive-Aligned kernel, by transitively aligning the vertices between graphs through a family of hierarchical prototype graphs. Comparing to most existing state-of-the-art graph kernels, the proposed kernel has three theoretical advantages. First,...
2310.00785
Yapei Chang
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
ICLR 2024 camera-ready (updated figure1 and table2; corrected minor details in the explanation of hierarchical merging)
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Summarizing book-length documents (>100K tokens) that exceed the context window size of large language models (LLMs) requires first breaking the input document into smaller chunks and then prompting an LLM to merge, update, and compress chunk-level summaries. Despite the complexity and importance of this task, it has...
[ { "created": "Sun, 1 Oct 2023 20:46:44 GMT", "version": "v1" }, { "created": "Thu, 5 Oct 2023 19:34:26 GMT", "version": "v2" }, { "created": "Tue, 19 Mar 2024 20:13:59 GMT", "version": "v3" }, { "created": "Sat, 13 Apr 2024 22:02:23 GMT", "version": "v4" } ]
2024-04-16
[ [ "Chang", "Yapei", "" ], [ "Lo", "Kyle", "" ], [ "Goyal", "Tanya", "" ], [ "Iyyer", "Mohit", "" ] ]
Summarizing book-length documents (>100K tokens) that exceed the context window size of large language models (LLMs) requires first breaking the input document into smaller chunks and then prompting an LLM to merge, update, and compress chunk-level summaries. Despite the complexity and importance of this task, it has y...
2106.14935
Wolfgang Mulzer
Alexander Baumann, Haim Kaplan, Katharina Klost, Kristin Knorr, Wolfgang Mulzer, Liam Roditty and Paul Seiferth
Dynamic Connectivity in Disk Graphs
58 pages, 27 figures; a preliminary version appeared at SoCG 2022
Discrete and Computational Geometry (DCG), 71(1), Jan 2024, pp. 214.277
10.1007/s00454-023-00621-x
null
cs.CG cs.DS
http://creativecommons.org/licenses/by/4.0/
Let $S$ be a set of $n$ sites in the plane, so that every site $s \in S$ has an associated radius $r_s > 0$. Let $\mathcal{D}(S)$ be the disk intersection graph defined by $S$, i.e., the graph with vertex set $S$ and an edge between two distinct sites $s, t \in S$ if and only if the disks with centers $s$, $t$ and ra...
[ { "created": "Mon, 28 Jun 2021 18:32:33 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 09:30:52 GMT", "version": "v2" } ]
2024-05-02
[ [ "Baumann", "Alexander", "" ], [ "Kaplan", "Haim", "" ], [ "Klost", "Katharina", "" ], [ "Knorr", "Kristin", "" ], [ "Mulzer", "Wolfgang", "" ], [ "Roditty", "Liam", "" ], [ "Seiferth", "Paul", "" ] ]
Let $S$ be a set of $n$ sites in the plane, so that every site $s \in S$ has an associated radius $r_s > 0$. Let $\mathcal{D}(S)$ be the disk intersection graph defined by $S$, i.e., the graph with vertex set $S$ and an edge between two distinct sites $s, t \in S$ if and only if the disks with centers $s$, $t$ and radi...
2204.04579
Danni Ma
Danni Ma, Neville Ryant, Mark Liberman
Inferring Pitch from Coarse Spectral Features
null
null
10.1121/10.0015792
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fundamental frequency (F0) has long been treated as the physical definition of "pitch" in phonetic analysis. But there have been many demonstrations that F0 is at best an approximation to pitch, both in production and in perception: pitch is not F0, and F0 is not pitch. Changes in the pitch involve many articulatory ...
[ { "created": "Sun, 10 Apr 2022 02:13:03 GMT", "version": "v1" }, { "created": "Fri, 26 Aug 2022 18:42:00 GMT", "version": "v2" } ]
2022-12-14
[ [ "Ma", "Danni", "" ], [ "Ryant", "Neville", "" ], [ "Liberman", "Mark", "" ] ]
Fundamental frequency (F0) has long been treated as the physical definition of "pitch" in phonetic analysis. But there have been many demonstrations that F0 is at best an approximation to pitch, both in production and in perception: pitch is not F0, and F0 is not pitch. Changes in the pitch involve many articulatory an...
1704.06756
Shima Alizadeh
Shima Alizadeh and Azar Fazel
Convolutional Neural Networks for Facial Expression Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have developed convolutional neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categories considered in this study. We trained CNN models with different depth using gray-scale images. We developed our models in Torch and e...
[ { "created": "Sat, 22 Apr 2017 06:27:56 GMT", "version": "v1" } ]
2017-04-25
[ [ "Alizadeh", "Shima", "" ], [ "Fazel", "Azar", "" ] ]
We have developed convolutional neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categories considered in this study. We trained CNN models with different depth using gray-scale images. We developed our models in Torch and exp...
2205.00102
Junlin Wu
Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik
Manipulating Elections by Changing Voter Perceptions
IJCAI 2022
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The integrity of elections is central to democratic systems. However, a myriad of malicious actors aspire to influence election outcomes for financial or political benefit. A common means to such ends is by manipulating perceptions of the voting public about select candidates, for example, through misinformation. We ...
[ { "created": "Fri, 29 Apr 2022 23:23:37 GMT", "version": "v1" }, { "created": "Fri, 17 Jun 2022 19:55:57 GMT", "version": "v2" } ]
2022-06-22
[ [ "Wu", "Junlin", "" ], [ "Estornell", "Andrew", "" ], [ "Kong", "Lecheng", "" ], [ "Vorobeychik", "Yevgeniy", "" ] ]
The integrity of elections is central to democratic systems. However, a myriad of malicious actors aspire to influence election outcomes for financial or political benefit. A common means to such ends is by manipulating perceptions of the voting public about select candidates, for example, through misinformation. We pr...
2302.10771
Chu Wang
Chu Wang, Manfeng Dou, Zhongliang Li, Rachid Outbib, Dongdong Zhao, Jian Zuo, Yuanlin Wang, Bin Liang, Peng Wang
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
null
null
10.1016/j.ress.2023.109123
null
cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load, the challenges come from extracting degradation features, improving prediction accuracy, expanding the prognostics horizon, and reducin...
[ { "created": "Fri, 3 Feb 2023 12:52:49 GMT", "version": "v1" } ]
2023-02-22
[ [ "Wang", "Chu", "" ], [ "Dou", "Manfeng", "" ], [ "Li", "Zhongliang", "" ], [ "Outbib", "Rachid", "" ], [ "Zhao", "Dongdong", "" ], [ "Zuo", "Jian", "" ], [ "Wang", "Yuanlin", "" ], [ "Liang", "B...
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load, the challenges come from extracting degradation features, improving prediction accuracy, expanding the prognostics horizon, and reducing ...
1812.07010
Mark Kozdoba
Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer
Multi Instance Learning For Unbalanced Data
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of Multi Instance Learning, we analyze the Single Instance (SI) learning objective. We show that when the data is unbalanced and the family of classifiers is sufficiently rich, the SI method is a useful learning algorithm. In particular, we show that larger data imbalance, a quality that is typically p...
[ { "created": "Mon, 17 Dec 2018 19:28:30 GMT", "version": "v1" } ]
2018-12-19
[ [ "Kozdoba", "Mark", "" ], [ "Moroshko", "Edward", "" ], [ "Shani", "Lior", "" ], [ "Takagi", "Takuya", "" ], [ "Katoh", "Takashi", "" ], [ "Mannor", "Shie", "" ], [ "Crammer", "Koby", "" ] ]
In the context of Multi Instance Learning, we analyze the Single Instance (SI) learning objective. We show that when the data is unbalanced and the family of classifiers is sufficiently rich, the SI method is a useful learning algorithm. In particular, we show that larger data imbalance, a quality that is typically per...
1901.06109
Gustavo Goretkin
Gustavo Goretkin and Leslie Pack Kaelbling and Tom\'as Lozano-P\'erez
Look before you sweep: Visibility-aware motion planning
WAFR 2018
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the problem of planning for a robot with a directional obstacle-detection sensor that must move through a cluttered environment. The planning objective is to remain safe by finding a path for the complete robot, including sensor, that guarantees that the robot will not move into any part of the w...
[ { "created": "Fri, 18 Jan 2019 07:19:40 GMT", "version": "v1" } ]
2019-01-21
[ [ "Goretkin", "Gustavo", "" ], [ "Kaelbling", "Leslie Pack", "" ], [ "Lozano-Pérez", "Tomás", "" ] ]
This paper addresses the problem of planning for a robot with a directional obstacle-detection sensor that must move through a cluttered environment. The planning objective is to remain safe by finding a path for the complete robot, including sensor, that guarantees that the robot will not move into any part of the wor...
2305.13499
Kuan-Hao Huang
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
Paper accepted by EMNLP 2023 Findings
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many real-world applications require making multiple predictions from the same text. Fine-tuning a large pre-trained language model for each downstream task causes computational burdens in the inference time due to several times of forward passes. To amortize the computational cost, freezing the language model and bu...
[ { "created": "Mon, 22 May 2023 21:31:03 GMT", "version": "v1" }, { "created": "Sat, 14 Oct 2023 15:35:07 GMT", "version": "v2" } ]
2023-10-17
[ [ "Huang", "Kuan-Hao", "" ], [ "Tan", "Liang", "" ], [ "Hou", "Rui", "" ], [ "Wang", "Sinong", "" ], [ "Almahairi", "Amjad", "" ], [ "Rinott", "Ruty", "" ] ]
Many real-world applications require making multiple predictions from the same text. Fine-tuning a large pre-trained language model for each downstream task causes computational burdens in the inference time due to several times of forward passes. To amortize the computational cost, freezing the language model and buil...
2208.03523
Francesco Landolfi
Davide Bacciu, Alessio Conte, Francesco Landolfi
Generalizing Downsampling from Regular Data to Graphs
Accepted at AAAI 2023; Extended version with proofs; 15 pages, 3 figures, 5 tables
null
10.1609/aaai.v37i6.25824
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Downsampling produces coarsened, multi-resolution representations of data and it is used, for example, to produce lossy compression and visualization of large images, reduce computational costs, and boost deep neural representation learning. Unfortunately, due to their lack of a regular structure, there is still no c...
[ { "created": "Sat, 6 Aug 2022 14:12:47 GMT", "version": "v1" }, { "created": "Mon, 28 Nov 2022 13:41:21 GMT", "version": "v2" }, { "created": "Thu, 1 Dec 2022 07:32:14 GMT", "version": "v3" } ]
2023-07-04
[ [ "Bacciu", "Davide", "" ], [ "Conte", "Alessio", "" ], [ "Landolfi", "Francesco", "" ] ]
Downsampling produces coarsened, multi-resolution representations of data and it is used, for example, to produce lossy compression and visualization of large images, reduce computational costs, and boost deep neural representation learning. Unfortunately, due to their lack of a regular structure, there is still no con...
2111.03112
Ivan Kapelyukh
Ivan Kapelyukh and Edward Johns
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
Published at CoRL 2021. Webpage and video: https://www.robot-learning.uk/my-house-my-rules
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robots that arrange household objects should do so according to the user's preferences, which are inherently subjective and difficult to model. We present NeatNet: a novel Variational Autoencoder architecture using Graph Neural Network layers, which can extract a low-dimensional latent preference vector from a user b...
[ { "created": "Thu, 4 Nov 2021 19:17:19 GMT", "version": "v1" } ]
2021-11-08
[ [ "Kapelyukh", "Ivan", "" ], [ "Johns", "Edward", "" ] ]
Robots that arrange household objects should do so according to the user's preferences, which are inherently subjective and difficult to model. We present NeatNet: a novel Variational Autoencoder architecture using Graph Neural Network layers, which can extract a low-dimensional latent preference vector from a user by ...
2105.09678
Hossam Farag
Hossam Farag and Cedomir Stefanovic
Congestion-Aware Routing in Dynamic IoT Networks: A Reinforcement Learning Approach
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
The innovative services empowered by the Internet of Things (IoT) require a seamless and reliable wireless infrastructure that enables communications within heterogeneous and dynamic low-power and lossy networks (LLNs). The Routing Protocol for LLNs (RPL) was designed to meet the communication requirements of a wide ...
[ { "created": "Thu, 20 May 2021 11:32:32 GMT", "version": "v1" } ]
2021-05-21
[ [ "Farag", "Hossam", "" ], [ "Stefanovic", "Cedomir", "" ] ]
The innovative services empowered by the Internet of Things (IoT) require a seamless and reliable wireless infrastructure that enables communications within heterogeneous and dynamic low-power and lossy networks (LLNs). The Routing Protocol for LLNs (RPL) was designed to meet the communication requirements of a wide ra...
1407.3200
Przemyslaw Uznanski
J\'er\'emie Chalopin (LIF), Shantanu Das (LIF), Pawel Gawrychowski (MPII), Adrian Kosowski (INRIA Paris-Rocquencourt, LIAFA), Arnaud Labourel (LIF), Przemyslaw Uzna\'nski
Lock-in Problem for Parallel Rotor-router Walks
null
null
null
null
cs.DM cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rotor-router model, also called the Propp machine, was introduced as a deterministic alternative to the random walk. In this model, a group of identical tokens are initially placed at nodes of the graph. Each node maintains a cyclic ordering of the outgoing arcs, and during consecutive turns the tokens are propag...
[ { "created": "Thu, 10 Jul 2014 06:12:51 GMT", "version": "v1" }, { "created": "Sun, 22 Feb 2015 08:03:07 GMT", "version": "v2" }, { "created": "Thu, 28 May 2015 06:15:01 GMT", "version": "v3" } ]
2015-05-29
[ [ "Chalopin", "Jérémie", "", "LIF" ], [ "Das", "Shantanu", "", "LIF" ], [ "Gawrychowski", "Pawel", "", "MPII" ], [ "Kosowski", "Adrian", "", "INRIA Paris-Rocquencourt, LIAFA" ], [ "Labourel", "Arnaud", "", "LIF" ], [...
The rotor-router model, also called the Propp machine, was introduced as a deterministic alternative to the random walk. In this model, a group of identical tokens are initially placed at nodes of the graph. Each node maintains a cyclic ordering of the outgoing arcs, and during consecutive turns the tokens are propagat...
1907.10594
Nitish Nag
Nitish Nag, Vaibhav Pandey, Likhita Navali, Prateek Mohan, Ramesh Jain
Synchronizing Geospatial Information for Personalized Health Monitoring
null
null
null
null
cs.HC physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The health effects of air pollution have been subject to intense study in recent decades. Exposure to pollutants such as airborne particulate matter and ozone has been associated with increases in morbidity and mortality, especially with regards to respiratory and cardiovascular diseases. Unfortunately, individuals d...
[ { "created": "Wed, 3 Jul 2019 19:16:03 GMT", "version": "v1" } ]
2019-07-25
[ [ "Nag", "Nitish", "" ], [ "Pandey", "Vaibhav", "" ], [ "Navali", "Likhita", "" ], [ "Mohan", "Prateek", "" ], [ "Jain", "Ramesh", "" ] ]
The health effects of air pollution have been subject to intense study in recent decades. Exposure to pollutants such as airborne particulate matter and ozone has been associated with increases in morbidity and mortality, especially with regards to respiratory and cardiovascular diseases. Unfortunately, individuals do ...
2208.13893
Emily Wenger
Emily Wenger and Xiuyu Li and Ben Y. Zhao and Vitaly Shmatikov
Data Isotopes for Data Provenance in DNNs
17 pages
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Today, creators of data-hungry deep neural networks (DNNs) scour the Internet for training fodder, leaving users with little control over or knowledge of when their data is appropriated for model training. To empower users to counteract unwanted data use, we design, implement and evaluate a practical system that enab...
[ { "created": "Mon, 29 Aug 2022 21:28:35 GMT", "version": "v1" }, { "created": "Mon, 27 Feb 2023 18:39:20 GMT", "version": "v2" } ]
2023-02-28
[ [ "Wenger", "Emily", "" ], [ "Li", "Xiuyu", "" ], [ "Zhao", "Ben Y.", "" ], [ "Shmatikov", "Vitaly", "" ] ]
Today, creators of data-hungry deep neural networks (DNNs) scour the Internet for training fodder, leaving users with little control over or knowledge of when their data is appropriated for model training. To empower users to counteract unwanted data use, we design, implement and evaluate a practical system that enable...
1002.0382
Dakshina Ranjan Kisku
Dakshina Ranjan Kisku, Massimo Tistarelli, Jamuna Kanta Sing, Phalguni Gupta
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
7 pages, 6 figures, IEEE Computer Vision and Pattern Recognition Workshop on Biometrics
null
10.1109/CVPRW.2009.5204298
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. This paper pre...
[ { "created": "Tue, 2 Feb 2010 02:22:58 GMT", "version": "v1" } ]
2016-11-18
[ [ "Kisku", "Dakshina Ranjan", "" ], [ "Tistarelli", "Massimo", "" ], [ "Sing", "Jamuna Kanta", "" ], [ "Gupta", "Phalguni", "" ] ]
Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. This paper prese...
0806.1446
Guoshen Yu
Guoshen Yu and Jean-Jacques Slotine
Fast Wavelet-Based Visual Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work of Serre et al. Specifically, trading-off biological accuracy for computational efficiency, we explore using wavelet and grouplet-like transforms to parallel the tuning of visual cortex V1 and V2 cells...
[ { "created": "Sun, 8 Jun 2008 10:15:04 GMT", "version": "v1" } ]
2008-06-10
[ [ "Yu", "Guoshen", "" ], [ "Slotine", "Jean-Jacques", "" ] ]
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work of Serre et al. Specifically, trading-off biological accuracy for computational efficiency, we explore using wavelet and grouplet-like transforms to parallel the tuning of visual cortex V1 and V2 cells, ...
2405.15734
BoYang Zheng
Boyang Zheng, Jinjin Gu, Shijun Li, Chao Dong
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in computer vision. Though MLLMs have shown promising results in numerous high-level vision and vision-language tasks such as VQA and text-to-imag...
[ { "created": "Fri, 24 May 2024 17:25:00 GMT", "version": "v1" }, { "created": "Tue, 11 Jun 2024 15:42:29 GMT", "version": "v2" } ]
2024-06-12
[ [ "Zheng", "Boyang", "" ], [ "Gu", "Jinjin", "" ], [ "Li", "Shijun", "" ], [ "Dong", "Chao", "" ] ]
The success of large language models (LLMs) has fostered a new research trend of multi-modality large language models (MLLMs), which changes the paradigm of various fields in computer vision. Though MLLMs have shown promising results in numerous high-level vision and vision-language tasks such as VQA and text-to-image,...
2106.12849
Francesco Gavazzo
Ugo Dal Lago and Francesco Gavazzo
Resource Transition Systems and Full Abstraction for Linear Higher-Order Effectful Systems
null
null
null
null
cs.PL cs.LO
http://creativecommons.org/licenses/by-nc-sa/4.0/
We investigate program equivalence for linear higher-order(sequential) languages endowed with primitives for computational effects. More specifically, we study operationally-based notions of program equivalence for a linear $\lambda$-calculus with explicit copying and algebraic effects \emph{\`a la} Plotkin and Power...
[ { "created": "Thu, 24 Jun 2021 09:21:13 GMT", "version": "v1" } ]
2021-06-25
[ [ "Lago", "Ugo Dal", "" ], [ "Gavazzo", "Francesco", "" ] ]
We investigate program equivalence for linear higher-order(sequential) languages endowed with primitives for computational effects. More specifically, we study operationally-based notions of program equivalence for a linear $\lambda$-calculus with explicit copying and algebraic effects \emph{\`a la} Plotkin and Power. ...
2207.05080
Fei Ye
Fei Ye and Adrian G. Bors
Learning an evolved mixture model for task-free continual learning
Accepted by the 29th IEEE International Conference on Image Processing (ICIP 2022)
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recently, continual learning (CL) has gained significant interest because it enables deep learning models to acquire new knowledge without forgetting previously learnt information. However, most existing works require knowing the task identities and boundaries, which is not realistic in a real context. In this paper,...
[ { "created": "Mon, 11 Jul 2022 16:01:27 GMT", "version": "v1" } ]
2022-07-13
[ [ "Ye", "Fei", "" ], [ "Bors", "Adrian G.", "" ] ]
Recently, continual learning (CL) has gained significant interest because it enables deep learning models to acquire new knowledge without forgetting previously learnt information. However, most existing works require knowing the task identities and boundaries, which is not realistic in a real context. In this paper, w...
2005.04871
Lu Wang
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial black-box attacks aim to craft adversarial perturbations by querying input-output pairs of machine learning models. They are widely used to evaluate the robustness of pre-trained models. However, black-box attacks often suffer from the issue of query inefficiency due to the high dimensionality of the inpu...
[ { "created": "Mon, 11 May 2020 05:57:15 GMT", "version": "v1" }, { "created": "Tue, 10 Nov 2020 03:54:26 GMT", "version": "v2" } ]
2020-11-11
[ [ "Wang", "Lu", "" ], [ "Zhang", "Huan", "" ], [ "Yi", "Jinfeng", "" ], [ "Hsieh", "Cho-Jui", "" ], [ "Jiang", "Yuan", "" ] ]
Adversarial black-box attacks aim to craft adversarial perturbations by querying input-output pairs of machine learning models. They are widely used to evaluate the robustness of pre-trained models. However, black-box attacks often suffer from the issue of query inefficiency due to the high dimensionality of the input ...
2407.07289
Mao Ye
Dengyan Luo, Yanping Xiang, Hu Wang, Luping Ji, Shuai Li and Mao Ye
Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The detection of moving infrared dim-small targets has been a challenging and prevalent research topic. The current state-of-the-art methods are mainly based on ConvLSTM to aggregate information from adjacent frames to facilitate the detection of the current frame. However, these methods implicitly utilize motion inf...
[ { "created": "Wed, 10 Jul 2024 00:42:25 GMT", "version": "v1" } ]
2024-07-11
[ [ "Luo", "Dengyan", "" ], [ "Xiang", "Yanping", "" ], [ "Wang", "Hu", "" ], [ "Ji", "Luping", "" ], [ "Li", "Shuai", "" ], [ "Ye", "Mao", "" ] ]
The detection of moving infrared dim-small targets has been a challenging and prevalent research topic. The current state-of-the-art methods are mainly based on ConvLSTM to aggregate information from adjacent frames to facilitate the detection of the current frame. However, these methods implicitly utilize motion infor...
1511.02937
Vutha Va
Vutha Va, Junil Choi, Robert W. Heath Jr
The Impact of Beamwidth on Temporal Channel Variation in Vehicular Channels and its Implications
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millimeter wave (mmWave) has great potential in realizing high data rate thanks to the large spectral channels. It is considered as a key technology for the fifth generation wireless networks and is already used in wireless LAN (e.g., IEEE 802.11ad). Using mmWave for vehicular communications, however, is often viewed...
[ { "created": "Mon, 9 Nov 2015 23:57:19 GMT", "version": "v1" } ]
2015-11-11
[ [ "Va", "Vutha", "" ], [ "Choi", "Junil", "" ], [ "Heath", "Robert W.", "Jr" ] ]
Millimeter wave (mmWave) has great potential in realizing high data rate thanks to the large spectral channels. It is considered as a key technology for the fifth generation wireless networks and is already used in wireless LAN (e.g., IEEE 802.11ad). Using mmWave for vehicular communications, however, is often viewed w...
2010.12110
Matej Ulicny
Matej Ulicny, Vladimir A. Krylov and Rozenn Dahyot
Tensor Reordering for CNN Compression
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show how parameter redundancy in Convolutional Neural Network (CNN) filters can be effectively reduced by pruning in spectral domain. Specifically, the representation extracted via Discrete Cosine Transform (DCT) is more conducive for pruning than the original space. By relying on a combination of weight tensor re...
[ { "created": "Thu, 22 Oct 2020 23:45:34 GMT", "version": "v1" } ]
2020-10-26
[ [ "Ulicny", "Matej", "" ], [ "Krylov", "Vladimir A.", "" ], [ "Dahyot", "Rozenn", "" ] ]
We show how parameter redundancy in Convolutional Neural Network (CNN) filters can be effectively reduced by pruning in spectral domain. Specifically, the representation extracted via Discrete Cosine Transform (DCT) is more conducive for pruning than the original space. By relying on a combination of weight tensor resh...
2012.03762
Xu Yan
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
To appear in AAAI 2021. Codes are available at https://github.com/yanx27/JS3C-Net
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point clou...
[ { "created": "Mon, 7 Dec 2020 14:58:25 GMT", "version": "v1" } ]
2020-12-08
[ [ "Yan", "Xu", "" ], [ "Gao", "Jiantao", "" ], [ "Li", "Jie", "" ], [ "Zhang", "Ruimao", "" ], [ "Li", "Zhen", "" ], [ "Huang", "Rui", "" ], [ "Cui", "Shuguang", "" ] ]
LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to achieve. In this paper, we propose a novel sparse LiDAR point cloud ...
2306.16623
Lucas Prado Osco
Lucas Prado Osco, Qiusheng Wu, Eduardo Lopes de Lemos, Wesley Nunes Gon\c{c}alves, Ana Paula Marques Ramos, Jonathan Li, Jos\'e Marcato Junior
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
20 pages, 9 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentation model by Meta AI, in the field of remote sensing image analysis. SAM is known for its exceptional generalization capabilities and zero...
[ { "created": "Thu, 29 Jun 2023 01:49:33 GMT", "version": "v1" }, { "created": "Tue, 31 Oct 2023 21:22:51 GMT", "version": "v2" } ]
2023-11-02
[ [ "Osco", "Lucas Prado", "" ], [ "Wu", "Qiusheng", "" ], [ "de Lemos", "Eduardo Lopes", "" ], [ "Gonçalves", "Wesley Nunes", "" ], [ "Ramos", "Ana Paula Marques", "" ], [ "Li", "Jonathan", "" ], [ "Junior", "José...
Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentation model by Meta AI, in the field of remote sensing image analysis. SAM is known for its exceptional generalization capabilities and zero-s...
2103.11926
Shucheng Chi
David Y. C. Chan, Shucheng Chi, Vassos Hadzilacos, Sam Toueg
Differentiated nonblocking: a new progress condition and a matching queue algorithm
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we first propose a new liveness requirement for shared objects and data structures, we then give a shared queue algorithm that satisfies this requirement and we prove its correctness. We also implement this algorithm and compare it to a well-known shared queue algorithm that is used in practice. In add...
[ { "created": "Mon, 22 Mar 2021 15:10:39 GMT", "version": "v1" } ]
2021-03-23
[ [ "Chan", "David Y. C.", "" ], [ "Chi", "Shucheng", "" ], [ "Hadzilacos", "Vassos", "" ], [ "Toueg", "Sam", "" ] ]
In this paper, we first propose a new liveness requirement for shared objects and data structures, we then give a shared queue algorithm that satisfies this requirement and we prove its correctness. We also implement this algorithm and compare it to a well-known shared queue algorithm that is used in practice. In addit...
2108.08864
R W R Darling Ph. D.
Jacob D. Baron, R.W.R. Darling, J. Laylon Davis, R. Pettit
Partitioned K-nearest neighbor local depth for scalable comparison-based learning
27 pages, 2 figures
null
null
null
cs.DS math.CO math.PR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A triplet comparison oracle on a set $S$ takes an object $x \in S$ and for any pair $\{y, z\} \subset S \setminus \{x\}$ declares which of $y$ and $z$ is more similar to $x$. Partitioned Local Depth (PaLD) supplies a principled non-parametric partitioning of $S$ under such triplet comparisons but needs $O(n^2 \log{n}...
[ { "created": "Thu, 19 Aug 2021 18:10:10 GMT", "version": "v1" }, { "created": "Sun, 7 Nov 2021 16:58:34 GMT", "version": "v2" }, { "created": "Thu, 2 Dec 2021 19:37:09 GMT", "version": "v3" } ]
2021-12-06
[ [ "Baron", "Jacob D.", "" ], [ "Darling", "R. W. R.", "" ], [ "Davis", "J. Laylon", "" ], [ "Pettit", "R.", "" ] ]
A triplet comparison oracle on a set $S$ takes an object $x \in S$ and for any pair $\{y, z\} \subset S \setminus \{x\}$ declares which of $y$ and $z$ is more similar to $x$. Partitioned Local Depth (PaLD) supplies a principled non-parametric partitioning of $S$ under such triplet comparisons but needs $O(n^2 \log{n})$...
2004.13865
Monica Babes-Vroman PhD
Monica Babes-Vroman, Andrew Tjang, Thu D. Nguyen
Ethnic Diversity in Computer Science at a Large Public R1 Research University
We did not have IRB approval for this study
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Even with recent increases in enrollments, computer science departments in the United States are not producing the number of graduates that the computing workforce needs, an issue that impacts the scientific and economic growth of our country. Because the computer science field is predicted to grow, it is important t...
[ { "created": "Tue, 28 Apr 2020 21:50:30 GMT", "version": "v1" }, { "created": "Mon, 30 Aug 2021 15:58:19 GMT", "version": "v2" } ]
2021-08-31
[ [ "Babes-Vroman", "Monica", "" ], [ "Tjang", "Andrew", "" ], [ "Nguyen", "Thu D.", "" ] ]
Even with recent increases in enrollments, computer science departments in the United States are not producing the number of graduates that the computing workforce needs, an issue that impacts the scientific and economic growth of our country. Because the computer science field is predicted to grow, it is important to ...
2208.06327
Cosmin Badea
William J Bolton, Cosmin Badea, Pantelis Georgiou, Alison Holmes, Timothy M Rawson
Developing moral AI to support antimicrobial decision making
null
null
10.1038/s42256-022-00558-5
null
cs.CY cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions. Utilising ethical frameworks alongside AI-driven systems, while considering infection specific complexities, can support moral decision making to tackle antimicrobial resistance.
[ { "created": "Fri, 12 Aug 2022 15:33:42 GMT", "version": "v1" } ]
2022-12-06
[ [ "Bolton", "William J", "" ], [ "Badea", "Cosmin", "" ], [ "Georgiou", "Pantelis", "" ], [ "Holmes", "Alison", "" ], [ "Rawson", "Timothy M", "" ] ]
Artificial intelligence (AI) assisting with antimicrobial prescribing raises significant moral questions. Utilising ethical frameworks alongside AI-driven systems, while considering infection specific complexities, can support moral decision making to tackle antimicrobial resistance.
2306.04114
Minshan Xie
Minshan Xie, Chengze Li, and Tien-Tsin Wong
Manga Rescreening with Interpretable Screentone Representation
10 pages, 11 figures
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The process of adapting or repurposing manga pages is a time-consuming task that requires manga artists to manually work on every single screentone region and apply new patterns to create novel screentones across multiple panels. To address this issue, we propose an automatic manga rescreening pipeline that aims to m...
[ { "created": "Wed, 7 Jun 2023 02:55:09 GMT", "version": "v1" } ]
2023-06-08
[ [ "Xie", "Minshan", "" ], [ "Li", "Chengze", "" ], [ "Wong", "Tien-Tsin", "" ] ]
The process of adapting or repurposing manga pages is a time-consuming task that requires manga artists to manually work on every single screentone region and apply new patterns to create novel screentones across multiple panels. To address this issue, we propose an automatic manga rescreening pipeline that aims to min...
2209.07024
Fernando Granha Jeronimo
Fernando Granha Jeronimo, Tushant Mittal, Sourya Roy and Avi Wigderson
Almost Ramanujan Expanders from Arbitrary Expanders via Operator Amplification
48 pages
null
null
null
cs.DS cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give an efficient algorithm that transforms any bounded degree expander graph into another that achieves almost optimal (namely, near-quadratic, $d \leq 1/\lambda^{2+o(1)}$) trade-off between (any desired) spectral expansion $\lambda$ and degree $d$. Furthermore, the algorithm is local: every vertex can compute it...
[ { "created": "Thu, 15 Sep 2022 03:28:09 GMT", "version": "v1" } ]
2022-09-16
[ [ "Jeronimo", "Fernando Granha", "" ], [ "Mittal", "Tushant", "" ], [ "Roy", "Sourya", "" ], [ "Wigderson", "Avi", "" ] ]
We give an efficient algorithm that transforms any bounded degree expander graph into another that achieves almost optimal (namely, near-quadratic, $d \leq 1/\lambda^{2+o(1)}$) trade-off between (any desired) spectral expansion $\lambda$ and degree $d$. Furthermore, the algorithm is local: every vertex can compute its ...
1408.6109
Angelos Antonopoulos
Angelos Antonopoulos, Aris S. Lalos, Marco Di Renzo, Christos Verikoukis
Cross-layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments (Extended Version)
39 pages (including Appendices), 11 Figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a cross-layer analytical model for the study of Network Coding (NC)-based Automatic Repeat reQuest (ARQ) Medium Access Control (MAC) protocols in correlated slow faded (shadowed) environments, where two end nodes are assisted by a cluster of relays to exchange data packets. The goal of our w...
[ { "created": "Tue, 26 Aug 2014 13:29:10 GMT", "version": "v1" } ]
2014-08-27
[ [ "Antonopoulos", "Angelos", "" ], [ "Lalos", "Aris S.", "" ], [ "Di Renzo", "Marco", "" ], [ "Verikoukis", "Christos", "" ] ]
In this paper, we propose a cross-layer analytical model for the study of Network Coding (NC)-based Automatic Repeat reQuest (ARQ) Medium Access Control (MAC) protocols in correlated slow faded (shadowed) environments, where two end nodes are assisted by a cluster of relays to exchange data packets. The goal of our wor...
1207.6830
Nader Ale Ebrahim
Ale Ebrahim, Nader Ahmed, Shamsuddin Abdul Rashid, Salwa Hanim, Zahari Taha
Technology Use in the Virtual R&D Teams
null
American Journal of Engineering and Applied Sciences, 2012, 5(1), Pages 9-14
10.3844/ajeassp.2012.9.14
null
cs.CY
http://creativecommons.org/licenses/by/3.0/
Problem statement: Although, literature proves the importance of the technology role in the effectiveness of virtual Research and Development (R&D) teams for new product development. However, the factors that make technology construct in a virtual R&D team are still ambiguous. The manager of virtual R&D teams for new...
[ { "created": "Mon, 30 Jul 2012 03:25:45 GMT", "version": "v1" } ]
2012-07-31
[ [ "Ebrahim", "Ale", "" ], [ "Ahmed", "Nader", "" ], [ "Rashid", "Shamsuddin Abdul", "" ], [ "Hanim", "Salwa", "" ], [ "Taha", "Zahari", "" ] ]
Problem statement: Although, literature proves the importance of the technology role in the effectiveness of virtual Research and Development (R&D) teams for new product development. However, the factors that make technology construct in a virtual R&D team are still ambiguous. The manager of virtual R&D teams for new p...
2407.14342
Aidan Hughes
Aidan J. Hughes, Giulia Delo, Jack Poole, Nikolaos Dervilis, Keith Worden
Quantifying the value of positive transfer: An experimental case study
In Proceedings of the 11th European Workshop on Structural Health Monitoring (EWSHM 2024), Potsdam, Germany. July 2024. arXiv admin note: text overlap with arXiv:2311.03083
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In traditional approaches to structural health monitoring, challenges often arise associated with the availability of labelled data. Population-based structural health monitoring seeks to overcomes these challenges by leveraging data/information from similar structures via technologies such as transfer learning. The ...
[ { "created": "Fri, 19 Jul 2024 14:23:20 GMT", "version": "v1" } ]
2024-07-22
[ [ "Hughes", "Aidan J.", "" ], [ "Delo", "Giulia", "" ], [ "Poole", "Jack", "" ], [ "Dervilis", "Nikolaos", "" ], [ "Worden", "Keith", "" ] ]
In traditional approaches to structural health monitoring, challenges often arise associated with the availability of labelled data. Population-based structural health monitoring seeks to overcomes these challenges by leveraging data/information from similar structures via technologies such as transfer learning. The cu...
2110.05896
Yingwen Fu
Nankai Lin and Yingwen Fu and Chuwei Chen and Ziyu Yang and Shengyi Jiang
LaoPLM: Pre-trained Language Models for Lao
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Trained on the large corpus, pre-trained language models (PLMs) can capture different levels of concepts in context and hence generate universal language representations. They can benefit multiple downstream natural language processing (NLP) tasks. Although PTMs have been widely used in most NLP applications, especia...
[ { "created": "Tue, 12 Oct 2021 11:13:07 GMT", "version": "v1" }, { "created": "Wed, 13 Oct 2021 10:37:29 GMT", "version": "v2" }, { "created": "Thu, 14 Oct 2021 09:01:34 GMT", "version": "v3" } ]
2021-10-15
[ [ "Lin", "Nankai", "" ], [ "Fu", "Yingwen", "" ], [ "Chen", "Chuwei", "" ], [ "Yang", "Ziyu", "" ], [ "Jiang", "Shengyi", "" ] ]
Trained on the large corpus, pre-trained language models (PLMs) can capture different levels of concepts in context and hence generate universal language representations. They can benefit multiple downstream natural language processing (NLP) tasks. Although PTMs have been widely used in most NLP applications, especiall...
2401.14633
Zijian Liang
Zijian Liang, Kai Niu, Jin Xu, Ping Zhang
Semantic Arithmetic Coding using Synonymous Mappings
6 pages, 4 figures. This paper is submitted to the 2024 IEEE International Symposium on Information Theory (ISIT 2024)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent semantic communication methods explore effective ways to expand the communication paradigm and improve the system performance of the communication systems. Nonetheless, the common problem of these methods is that the essence of semantics is not explicitly pointed out and directly utilized. A new epistemology s...
[ { "created": "Fri, 26 Jan 2024 03:54:30 GMT", "version": "v1" } ]
2024-01-29
[ [ "Liang", "Zijian", "" ], [ "Niu", "Kai", "" ], [ "Xu", "Jin", "" ], [ "Zhang", "Ping", "" ] ]
Recent semantic communication methods explore effective ways to expand the communication paradigm and improve the system performance of the communication systems. Nonetheless, the common problem of these methods is that the essence of semantics is not explicitly pointed out and directly utilized. A new epistemology sug...
2104.04449
Hanaa Abumarshoud
Hanaa Abumarshoud, Lina Mohjazi, Sami Muhaidat
Amplitude, Phase, and Quadrant (APQ) Modulation for Indoor Visible Light Communications
null
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main challenge in visible light communications (VLC) is the low modulation bandwidth of light-emitting diodes (LEDs). This forms a barrier towards achieving high data rates. Moreover, the implementation of high order modulation schemes is restricted by the requirements of intensity modulation (IM) and direct dete...
[ { "created": "Fri, 9 Apr 2021 15:58:29 GMT", "version": "v1" } ]
2021-04-12
[ [ "Abumarshoud", "Hanaa", "" ], [ "Mohjazi", "Lina", "" ], [ "Muhaidat", "Sami", "" ] ]
The main challenge in visible light communications (VLC) is the low modulation bandwidth of light-emitting diodes (LEDs). This forms a barrier towards achieving high data rates. Moreover, the implementation of high order modulation schemes is restricted by the requirements of intensity modulation (IM) and direct detect...
1910.13942
Felix Leeb
Felix Leeb, Arunkumar Byravan, Dieter Fox
Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB
Accepted to IROS 2019 workshop on The Importance of Uncertainty in Deep Learning for Robotics
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we bridge the gap between recent pose estimation and tracking work to develop a powerful method for robots to track objects in their surroundings. Motion-Nets use a segmentation model to segment the scene, and separate translation and rotation models to identify the relative 6D motion of an object betwe...
[ { "created": "Wed, 30 Oct 2019 15:51:23 GMT", "version": "v1" } ]
2019-10-31
[ [ "Leeb", "Felix", "" ], [ "Byravan", "Arunkumar", "" ], [ "Fox", "Dieter", "" ] ]
In this work, we bridge the gap between recent pose estimation and tracking work to develop a powerful method for robots to track objects in their surroundings. Motion-Nets use a segmentation model to segment the scene, and separate translation and rotation models to identify the relative 6D motion of an object between...
2009.12975
Liang Gou
Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt and Liu Ren
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
null
null
null
null
cs.HC cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Networks (CNNs) and have exhibited promising performance. However, one looming concern with CNN based detectors is how to thoroughly evaluate the...
[ { "created": "Sun, 27 Sep 2020 22:39:00 GMT", "version": "v1" } ]
2020-09-29
[ [ "Gou", "Liang", "" ], [ "Zou", "Lincan", "" ], [ "Li", "Nanxiang", "" ], [ "Hofmann", "Michael", "" ], [ "Shekar", "Arvind Kumar", "" ], [ "Wendt", "Axel", "" ], [ "Ren", "Liu", "" ] ]
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Networks (CNNs) and have exhibited promising performance. However, one looming concern with CNN based detectors is how to thoroughly evaluate the p...
1512.07505
Alexandre Rok
Alexandre Rok, Shakhar Smorodinsky
A short proof of the first selection lemma and weak $\frac{1}{r}$-nets for moving points
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
(i) We provide a short and simple proof of the first selection lemma. (ii) We also prove a selection lemma of a new type in $\Re^d$. For example, when $d=2$ assuming $n$ is large enough we prove that for any set $P$ of $n$ points in general position there are $\Omega(n^4)$ pairs of segments spanned by $P$ all of whic...
[ { "created": "Wed, 23 Dec 2015 15:04:57 GMT", "version": "v1" } ]
2015-12-24
[ [ "Rok", "Alexandre", "" ], [ "Smorodinsky", "Shakhar", "" ] ]
(i) We provide a short and simple proof of the first selection lemma. (ii) We also prove a selection lemma of a new type in $\Re^d$. For example, when $d=2$ assuming $n$ is large enough we prove that for any set $P$ of $n$ points in general position there are $\Omega(n^4)$ pairs of segments spanned by $P$ all of which ...
2101.04948
Foozhan Ataiefard
Foozhan Ataiefard, Mohammad Jafar Mashhadi, Hadi Hemmati and Niel Walkinshaw
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
17 pages,9 figures. arXiv admin note: text overlap with arXiv:2008.11856
null
null
null
cs.LG cs.SE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Many software engineering tasks, such as testing, and anomaly detection can benefit from the ability to infer a behavioral model of the software.Most existing inference approaches assume access to code to collect execution sequences. In this paper, we investigate a black-box scenario, where the system under analysis ...
[ { "created": "Wed, 13 Jan 2021 09:23:37 GMT", "version": "v1" }, { "created": "Tue, 12 Oct 2021 08:14:09 GMT", "version": "v2" } ]
2021-10-13
[ [ "Ataiefard", "Foozhan", "" ], [ "Mashhadi", "Mohammad Jafar", "" ], [ "Hemmati", "Hadi", "" ], [ "Walkinshaw", "Niel", "" ] ]
Many software engineering tasks, such as testing, and anomaly detection can benefit from the ability to infer a behavioral model of the software.Most existing inference approaches assume access to code to collect execution sequences. In this paper, we investigate a black-box scenario, where the system under analysis ca...
2012.01876
Robert Paluch
Robert Paluch, {\L}ukasz G. Gajewski, Janusz A. Ho{\l}yst, Boleslaw K. Szymanski
Optimizing sensors placement in complex networks for localization of hidden signal source: A review
28 pages, 18 figures, 11 tables
Future Generation Computer Systems, Volume 112, November 2020, Pages 1070-1092
10.1016/j.future.2020.06.023
null
cs.SI cs.CY physics.data-an
http://creativecommons.org/licenses/by-nc-nd/4.0/
As the world becomes more and more interconnected, our everyday objects become part of the Internet of Things, and our lives get more and more mirrored in virtual reality, where every piece of~information, including misinformation, fake news and malware, can spread very fast practically anonymously. To suppress such ...
[ { "created": "Thu, 3 Dec 2020 12:45:29 GMT", "version": "v1" } ]
2020-12-04
[ [ "Paluch", "Robert", "" ], [ "Gajewski", "Łukasz G.", "" ], [ "Hołyst", "Janusz A.", "" ], [ "Szymanski", "Boleslaw K.", "" ] ]
As the world becomes more and more interconnected, our everyday objects become part of the Internet of Things, and our lives get more and more mirrored in virtual reality, where every piece of~information, including misinformation, fake news and malware, can spread very fast practically anonymously. To suppress such un...
2204.00975
Ruonan Wang
Yuxi Qian, Yuncong Hu, Ruonan Wang, Fangxiang Feng and Xiaojie Wang
Question-Driven Graph Fusion Network For Visual Question Answering
Accepted by ICME 2022
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing Visual Question Answering (VQA) models have explored various visual relationships between objects in the image to answer complex questions, which inevitably introduces irrelevant information brought by inaccurate object detection and text grounding. To address the problem, we propose a Question-Driven Graph ...
[ { "created": "Sun, 3 Apr 2022 03:02:03 GMT", "version": "v1" } ]
2022-04-05
[ [ "Qian", "Yuxi", "" ], [ "Hu", "Yuncong", "" ], [ "Wang", "Ruonan", "" ], [ "Feng", "Fangxiang", "" ], [ "Wang", "Xiaojie", "" ] ]
Existing Visual Question Answering (VQA) models have explored various visual relationships between objects in the image to answer complex questions, which inevitably introduces irrelevant information brought by inaccurate object detection and text grounding. To address the problem, we propose a Question-Driven Graph Fu...
1809.05853
Dra\v{z}en Lu\v{c}anin PhD
Dra\v{z}en Lu\v{c}anin
Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers
Dissertation, Vienna Univ Technology (Apr 2016)
null
null
urn:nbn:at:at-ubtuw:1-106532
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is estimated that data centers constitute 1.5% of global electricity usage. At the same time, to serve increasing user requirements, modern cloud providers are operating multiple geographically distributed data centers. Distributed data center infrastructure changes the rules of cloud control, as energy costs depe...
[ { "created": "Sun, 16 Sep 2018 10:52:43 GMT", "version": "v1" } ]
2018-09-18
[ [ "Lučanin", "Dražen", "" ] ]
It is estimated that data centers constitute 1.5% of global electricity usage. At the same time, to serve increasing user requirements, modern cloud providers are operating multiple geographically distributed data centers. Distributed data center infrastructure changes the rules of cloud control, as energy costs depend...
2406.19390
John Lambert
John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
Accepted at ECCV 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new system for automatic 2D floorplan reconstruction that is enabled by SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely located 360$^\circ$ panoramas, whose semantic features (windows, doors, and openings) are inferred and used to hypothesize pairwise room adja...
[ { "created": "Thu, 27 Jun 2024 17:59:06 GMT", "version": "v1" } ]
2024-06-28
[ [ "Lambert", "John", "" ], [ "Li", "Yuguang", "" ], [ "Boyadzhiev", "Ivaylo", "" ], [ "Wixson", "Lambert", "" ], [ "Narayana", "Manjunath", "" ], [ "Hutchcroft", "Will", "" ], [ "Hays", "James", "" ], [ ...
We propose a new system for automatic 2D floorplan reconstruction that is enabled by SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely located 360$^\circ$ panoramas, whose semantic features (windows, doors, and openings) are inferred and used to hypothesize pairwise room adjace...
2205.02771
Peter Macgregor
Peter Macgregor, He Sun
Finding Bipartite Components in Hypergraphs
null
null
null
null
cs.DS cs.LG
http://creativecommons.org/licenses/by/4.0/
Hypergraphs are important objects to model ternary or higher-order relations of objects, and have a number of applications in analysing many complex datasets occurring in practice. In this work we study a new heat diffusion process in hypergraphs, and employ this process to design a polynomial-time algorithm that app...
[ { "created": "Thu, 5 May 2022 16:46:31 GMT", "version": "v1" } ]
2022-05-06
[ [ "Macgregor", "Peter", "" ], [ "Sun", "He", "" ] ]
Hypergraphs are important objects to model ternary or higher-order relations of objects, and have a number of applications in analysing many complex datasets occurring in practice. In this work we study a new heat diffusion process in hypergraphs, and employ this process to design a polynomial-time algorithm that appro...
2107.14126
George Skretas
George B. Mertzios and Othon Michail and George Skretas and Paul G. Spirakis and Michail Theofilatos
The Complexity of Growing a Graph
30 pages
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a new algorithmic process of graph growth which starts from a single initial vertex and operates in discrete time-steps, called \emph{slots}. In every slot, the graph grows via two operations (i) vertex generation and (ii) edge activation. The process completes at the last slot where a (possibly empty) subse...
[ { "created": "Thu, 29 Jul 2021 15:59:53 GMT", "version": "v1" }, { "created": "Fri, 11 Feb 2022 20:22:09 GMT", "version": "v2" }, { "created": "Mon, 2 May 2022 03:17:27 GMT", "version": "v3" }, { "created": "Thu, 2 Jun 2022 12:01:16 GMT", "version": "v4" }, { "cre...
2022-12-20
[ [ "Mertzios", "George B.", "" ], [ "Michail", "Othon", "" ], [ "Skretas", "George", "" ], [ "Spirakis", "Paul G.", "" ], [ "Theofilatos", "Michail", "" ] ]
We study a new algorithmic process of graph growth which starts from a single initial vertex and operates in discrete time-steps, called \emph{slots}. In every slot, the graph grows via two operations (i) vertex generation and (ii) edge activation. The process completes at the last slot where a (possibly empty) subset ...
1002.2722
Marco Aldinucci
Marco Aldinucci, Emilio Tuosto
Toward a Formal Semantics for Autonomic Components
11 pages + cover page
In From Grids To Service and Pervasive Computing (Proc. of the CoreGRID Symposium 2008), CoreGRID, pages 31-45, Las Palmas, Spain, Aug. 2008. Springer
10.1007/978-0-387-09455-7_3
TR-08-08
cs.DC cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomic management can improve the QoS provided by parallel/ distributed applications. Within the CoreGRID Component Model, the autonomic management is tailored to the automatic - monitoring-driven - alteration of the component assembly and, therefore, is defined as the effect of (distributed) management code. This...
[ { "created": "Sat, 13 Feb 2010 18:55:54 GMT", "version": "v1" }, { "created": "Fri, 2 Jul 2010 17:46:06 GMT", "version": "v2" } ]
2010-07-05
[ [ "Aldinucci", "Marco", "" ], [ "Tuosto", "Emilio", "" ] ]
Autonomic management can improve the QoS provided by parallel/ distributed applications. Within the CoreGRID Component Model, the autonomic management is tailored to the automatic - monitoring-driven - alteration of the component assembly and, therefore, is defined as the effect of (distributed) management code. This w...
2007.05852
Arman Adibi
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Submodular Meta-Learning
null
null
null
null
cs.LG cs.DS math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce a discrete variant of the meta-learning framework. Meta-learning aims at exploiting prior experience and data to improve performance on future tasks. By now, there exist numerous formulations for meta-learning in the continuous domain. Notably, the Model-Agnostic Meta-Learning (MAML) formu...
[ { "created": "Sat, 11 Jul 2020 21:02:48 GMT", "version": "v1" }, { "created": "Sun, 10 Jan 2021 00:39:23 GMT", "version": "v2" } ]
2021-01-12
[ [ "Adibi", "Arman", "" ], [ "Mokhtari", "Aryan", "" ], [ "Hassani", "Hamed", "" ] ]
In this paper, we introduce a discrete variant of the meta-learning framework. Meta-learning aims at exploiting prior experience and data to improve performance on future tasks. By now, there exist numerous formulations for meta-learning in the continuous domain. Notably, the Model-Agnostic Meta-Learning (MAML) formula...
2404.13193
Przemys{\l}aw Gordinowicz
Dariusz Dereniowski, Przemys{\l}aw Gordinowicz and Karolina Wr\'obel
On multidimensional generalization of binary search
null
null
null
null
cs.DS cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work generalizes the binary search problem to a $d$-dimensional domain $S_1\times\cdots\times S_d$, where $S_i=\{0, 1, \ldots,n_i-1\}$ and $d\geq 1$, in the following way. Given $(t_1,\ldots,t_d)$, the target element to be found, the result of a comparison of a selected element $(x_1,\ldots,x_d)$ is the sequence...
[ { "created": "Fri, 19 Apr 2024 21:48:16 GMT", "version": "v1" } ]
2024-04-23
[ [ "Dereniowski", "Dariusz", "" ], [ "Gordinowicz", "Przemysław", "" ], [ "Wróbel", "Karolina", "" ] ]
This work generalizes the binary search problem to a $d$-dimensional domain $S_1\times\cdots\times S_d$, where $S_i=\{0, 1, \ldots,n_i-1\}$ and $d\geq 1$, in the following way. Given $(t_1,\ldots,t_d)$, the target element to be found, the result of a comparison of a selected element $(x_1,\ldots,x_d)$ is the sequence o...
2406.19508
Darren Holden
Darren Holden, Nafiseh Kahani
Code Linting using Language Models
44 pages, 3 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Code linters play a crucial role in developing high-quality software systems by detecting potential problems (e.g., memory leaks) in the source code of systems. Despite their benefits, code linters are often language-specific, focused on certain types of issues, and prone to false positives in the interest of speed. ...
[ { "created": "Thu, 27 Jun 2024 19:59:49 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2024 19:01:10 GMT", "version": "v2" } ]
2024-07-24
[ [ "Holden", "Darren", "" ], [ "Kahani", "Nafiseh", "" ] ]
Code linters play a crucial role in developing high-quality software systems by detecting potential problems (e.g., memory leaks) in the source code of systems. Despite their benefits, code linters are often language-specific, focused on certain types of issues, and prone to false positives in the interest of speed. Th...