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1612.02904
Davoud Mougouei
Davoud Mougouei and David Powers
GOTM: a Goal-Oriented Framework for Capturing Uncertainty of Medical Treatments
Idea Paper
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It has been widely recognized that uncertainty is an inevitable aspect of diagnosis and treatment of medical disorders. Such uncertainties hence, need to be considered in computerized medical models. The existing medical modeling techniques however, have mainly focused on capturing uncertainty associated with diagnos...
[ { "created": "Fri, 9 Dec 2016 04:02:34 GMT", "version": "v1" }, { "created": "Thu, 22 Oct 2020 05:51:20 GMT", "version": "v2" } ]
2020-10-23
[ [ "Mougouei", "Davoud", "" ], [ "Powers", "David", "" ] ]
It has been widely recognized that uncertainty is an inevitable aspect of diagnosis and treatment of medical disorders. Such uncertainties hence, need to be considered in computerized medical models. The existing medical modeling techniques however, have mainly focused on capturing uncertainty associated with diagnosis...
1902.06179
Alan Kuhnle
Alan Kuhnle
Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time
16 pages, 8 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A deterministic approximation algorithm is presented for the maximization of non-monotone submodular functions over a ground set of size $n$ subject to cardinality constraint $k$; the algorithm is based upon the idea of interlacing two greedy procedures. The algorithm uses interlaced, thresholded greedy procedures to...
[ { "created": "Sun, 17 Feb 2019 00:51:55 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2019 21:00:59 GMT", "version": "v2" }, { "created": "Thu, 24 Oct 2019 19:28:40 GMT", "version": "v3" } ]
2019-10-28
[ [ "Kuhnle", "Alan", "" ] ]
A deterministic approximation algorithm is presented for the maximization of non-monotone submodular functions over a ground set of size $n$ subject to cardinality constraint $k$; the algorithm is based upon the idea of interlacing two greedy procedures. The algorithm uses interlaced, thresholded greedy procedures to o...
1801.10119
Linbo Qiao
Linbo Qiao, Wei Liu, Steven Hoi
An Incremental Path-Following Splitting Method for Linearly Constrained Nonconvex Nonsmooth Programs
There is an error in Theorem 9
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The stationary point of Problem 2 is NOT the stationary point of Problem 1. We are sorry and we are working on fixing this error.
[ { "created": "Tue, 30 Jan 2018 18:07:01 GMT", "version": "v1" }, { "created": "Thu, 1 Feb 2018 08:29:20 GMT", "version": "v2" }, { "created": "Fri, 2 Feb 2018 06:20:25 GMT", "version": "v3" }, { "created": "Wed, 11 Apr 2018 13:44:16 GMT", "version": "v4" }, { "cre...
2018-08-07
[ [ "Qiao", "Linbo", "" ], [ "Liu", "Wei", "" ], [ "Hoi", "Steven", "" ] ]
The stationary point of Problem 2 is NOT the stationary point of Problem 1. We are sorry and we are working on fixing this error.
2211.00895
Jongho Choi
Jongho Choi, Kyogu Lee
Pop2Piano : Pop Audio-based Piano Cover Generation
null
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Piano covers of pop music are enjoyed by many people. However, the task of automatically generating piano covers of pop music is still understudied. This is partly due to the lack of synchronized {Pop, Piano Cover} data pairs, which made it challenging to apply the latest data-intensive deep learning-based methods. T...
[ { "created": "Wed, 2 Nov 2022 05:42:22 GMT", "version": "v1" }, { "created": "Sat, 1 Apr 2023 06:02:16 GMT", "version": "v2" } ]
2023-04-04
[ [ "Choi", "Jongho", "" ], [ "Lee", "Kyogu", "" ] ]
Piano covers of pop music are enjoyed by many people. However, the task of automatically generating piano covers of pop music is still understudied. This is partly due to the lack of synchronized {Pop, Piano Cover} data pairs, which made it challenging to apply the latest data-intensive deep learning-based methods. To ...
1806.06253
Jung Lee
Jung H. Lee
DynMat, a network that can learn after learning
40 pages and 9 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To survive in the dynamically-evolving world, we accumulate knowledge and improve our skills based on experience. In the process, gaining new knowledge does not disrupt our vigilance to external stimuli. In other words, our learning process is 'accumulative' and 'online' without interruption. However, despite the rec...
[ { "created": "Sat, 16 Jun 2018 15:32:32 GMT", "version": "v1" }, { "created": "Sat, 2 Feb 2019 19:57:26 GMT", "version": "v2" } ]
2019-02-05
[ [ "Lee", "Jung H.", "" ] ]
To survive in the dynamically-evolving world, we accumulate knowledge and improve our skills based on experience. In the process, gaining new knowledge does not disrupt our vigilance to external stimuli. In other words, our learning process is 'accumulative' and 'online' without interruption. However, despite the recen...
2402.17178
Rebecca Faust
Yali Bian, Rebecca Faust, Chris North
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning
19 pages, 9 figures
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasing number of studies have utilized interactive deep learning as the analytic model of visual analytics systems for complex sensemaking tasks. In these systems, traditional interactive dimensionality reduction (DR) models are commonly utilized to build a bi-directional bridge between high-dimensional deep l...
[ { "created": "Tue, 27 Feb 2024 03:32:04 GMT", "version": "v1" } ]
2024-02-28
[ [ "Bian", "Yali", "" ], [ "Faust", "Rebecca", "" ], [ "North", "Chris", "" ] ]
An increasing number of studies have utilized interactive deep learning as the analytic model of visual analytics systems for complex sensemaking tasks. In these systems, traditional interactive dimensionality reduction (DR) models are commonly utilized to build a bi-directional bridge between high-dimensional deep lea...
2307.03194
Patrici Calvo
Patrici Calvo
Cryptoart: Ethical Challenges of the NFT Revolution
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
The digital transformation of the art world has become a revolution for the sector. Cryptoart, based on non-fungible tokens (NFT), is attracting the attention of artists, collectors and enthusiasts for its ability to tokenise any element that can be sold as art in the digital market. That means it is able to become a...
[ { "created": "Sun, 2 Jul 2023 08:56:50 GMT", "version": "v1" } ]
2023-07-10
[ [ "Calvo", "Patrici", "" ] ]
The digital transformation of the art world has become a revolution for the sector. Cryptoart, based on non-fungible tokens (NFT), is attracting the attention of artists, collectors and enthusiasts for its ability to tokenise any element that can be sold as art in the digital market. That means it is able to become a s...
1703.00331
Mahyar Shahsavari
Mahyar Shahsavari (CRIStAL), Pierre Boulet (CRIStAL)
Memristor nanodevice for unconventional computing:review and applications
null
null
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A memristor is a two-terminal nanodevice that its properties attract a wide community of researchers from various domains such as physics, chemistry, electronics, computer and neuroscience.The simple structure for manufacturing, small scalability, nonvolatility and potential of using inlow power platforms are outstan...
[ { "created": "Wed, 1 Mar 2017 15:05:44 GMT", "version": "v1" } ]
2017-03-02
[ [ "Shahsavari", "Mahyar", "", "CRIStAL" ], [ "Boulet", "Pierre", "", "CRIStAL" ] ]
A memristor is a two-terminal nanodevice that its properties attract a wide community of researchers from various domains such as physics, chemistry, electronics, computer and neuroscience.The simple structure for manufacturing, small scalability, nonvolatility and potential of using inlow power platforms are outstandi...
2005.00572
Hu Hu
Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition
Accepted by ICASSP 2020
null
null
null
cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, the recurrent neural network transducer (RNN-T) architecture has become an emerging trend in end-to-end automatic speech recognition research due to its advantages of being capable for online streaming speech recognition. However, RNN-T training is made difficult by the huge memory requirements, and complic...
[ { "created": "Fri, 1 May 2020 19:00:57 GMT", "version": "v1" } ]
2020-05-05
[ [ "Hu", "Hu", "" ], [ "Zhao", "Rui", "" ], [ "Li", "Jinyu", "" ], [ "Lu", "Liang", "" ], [ "Gong", "Yifan", "" ] ]
Recently, the recurrent neural network transducer (RNN-T) architecture has become an emerging trend in end-to-end automatic speech recognition research due to its advantages of being capable for online streaming speech recognition. However, RNN-T training is made difficult by the huge memory requirements, and complicat...
2104.06188
Foivos Michelinakis
Salman Mohebi, Foivos Michelinakis, Ahmed Elmokashfi, Ole Gr{\o}ndalen, Kashif Mahmood, Andrea Zanella
Sectors, Beams and Environmental Impact on the Performance of Commercial 5G mmWave Cells: an Empirical Study
12 pages, 11 figures, 7 tables
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While the performance of mmWave links has been thoroughly investigated by simulations or testbeds, the behavior of this technology in real-world commercial setups has not yet been thoroughly documented. In this paper, we address this gap and present the results of an empirical study to determine the actual performanc...
[ { "created": "Tue, 13 Apr 2021 13:36:54 GMT", "version": "v1" }, { "created": "Tue, 16 Nov 2021 13:21:54 GMT", "version": "v2" }, { "created": "Mon, 11 Apr 2022 09:33:16 GMT", "version": "v3" } ]
2022-04-12
[ [ "Mohebi", "Salman", "" ], [ "Michelinakis", "Foivos", "" ], [ "Elmokashfi", "Ahmed", "" ], [ "Grøndalen", "Ole", "" ], [ "Mahmood", "Kashif", "" ], [ "Zanella", "Andrea", "" ] ]
While the performance of mmWave links has been thoroughly investigated by simulations or testbeds, the behavior of this technology in real-world commercial setups has not yet been thoroughly documented. In this paper, we address this gap and present the results of an empirical study to determine the actual performance ...
1309.7949
Philipp Mayr
Philipp Mayr, Peter Mutschke
Bibliometric-enhanced Retrieval Models for Big Scholarly Information Systems
4 pages, IEEE BigData 2013, Workshop on Scholarly Big Data: Challenges and Ideas
null
10.1109/BigData.2013.6691762
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, although they offer value-added effects for users. In this paper we will explore how statistical modelling of scholarship, such as Bradfordizing or network analysis of coauthorship network, can improve retrieval servi...
[ { "created": "Mon, 30 Sep 2013 18:32:14 GMT", "version": "v1" } ]
2016-11-17
[ [ "Mayr", "Philipp", "" ], [ "Mutschke", "Peter", "" ] ]
Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, although they offer value-added effects for users. In this paper we will explore how statistical modelling of scholarship, such as Bradfordizing or network analysis of coauthorship network, can improve retrieval service...
1906.06543
Hamid Laga
Xian-Feng Han, Hamid Laga, Mohammed Bennamoun
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
arXiv admin note: text overlap with arXiv:1806.06098, arXiv:1712.06584, arXiv:1804.10975 by other authors
IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 2019
10.1109/TPAMI.2019.2954885
null
cs.CV cs.CG cs.GR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, image-based 3D reconstruction using convolutional neural networks (CNN) has attracted increasing interest and demonstrated an impressive p...
[ { "created": "Sat, 15 Jun 2019 12:35:05 GMT", "version": "v1" }, { "created": "Tue, 18 Jun 2019 15:51:43 GMT", "version": "v2" }, { "created": "Fri, 1 Nov 2019 14:01:31 GMT", "version": "v3" } ]
2019-11-28
[ [ "Han", "Xian-Feng", "" ], [ "Laga", "Hamid", "" ], [ "Bennamoun", "Mohammed", "" ] ]
3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, image-based 3D reconstruction using convolutional neural networks (CNN) has attracted increasing interest and demonstrated an impressive per...
1506.02543
Noman Islam Dr.
Noman Islam, Zubair A. Shaikh
A novel approach to Service Discovery in Mobile Adhoc Network
International Networking and Communications Conference (INCC-2008)
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile Adhoc Network (MANET) is a network of a number of mobile routers and associated hosts, organized in a random fashion via wireless links. During recent years MANET has gained enormous amount of attention and has been widely used for not only military purposes but for search-and-rescue operations, intelligent tr...
[ { "created": "Mon, 8 Jun 2015 15:19:18 GMT", "version": "v1" } ]
2015-06-09
[ [ "Islam", "Noman", "" ], [ "Shaikh", "Zubair A.", "" ] ]
Mobile Adhoc Network (MANET) is a network of a number of mobile routers and associated hosts, organized in a random fashion via wireless links. During recent years MANET has gained enormous amount of attention and has been widely used for not only military purposes but for search-and-rescue operations, intelligent tran...
2106.14726
Florian Boudin
Florian Boudin, Ygor Gallina, Akiko Aizawa
Keyphrase Generation for Scientific Document Retrieval
Accepted at ACL 2020
null
10.18653/v1/2020.acl-main.105
null
cs.IR cs.CL
http://creativecommons.org/licenses/by/4.0/
Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval. This study provides empirical evidence that such models can significantly improve retrieval performance, and introduces a new extrinsi...
[ { "created": "Mon, 28 Jun 2021 13:55:49 GMT", "version": "v1" } ]
2021-06-29
[ [ "Boudin", "Florian", "" ], [ "Gallina", "Ygor", "" ], [ "Aizawa", "Akiko", "" ] ]
Sequence-to-sequence models have lead to significant progress in keyphrase generation, but it remains unknown whether they are reliable enough to be beneficial for document retrieval. This study provides empirical evidence that such models can significantly improve retrieval performance, and introduces a new extrinsic ...
1804.09626
Gunnar Sigurdsson
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Actor and Observer we introduced a dataset linking the first and third-person video understanding domains, the Charades-Ego Dataset. In this paper we describe the egocentric aspect of the dataset and present annotations for Charades-Ego with 68,536 activity instances in 68.8 hours of first and third-person video, ...
[ { "created": "Wed, 25 Apr 2018 15:30:27 GMT", "version": "v1" }, { "created": "Mon, 30 Apr 2018 16:57:00 GMT", "version": "v2" } ]
2018-05-01
[ [ "Sigurdsson", "Gunnar A.", "" ], [ "Gupta", "Abhinav", "" ], [ "Schmid", "Cordelia", "" ], [ "Farhadi", "Ali", "" ], [ "Alahari", "Karteek", "" ] ]
In Actor and Observer we introduced a dataset linking the first and third-person video understanding domains, the Charades-Ego Dataset. In this paper we describe the egocentric aspect of the dataset and present annotations for Charades-Ego with 68,536 activity instances in 68.8 hours of first and third-person video, ma...
1905.05754
Karim Iskakov
Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov
Learnable Triangulation of Human Pose
Project page: https://saic-violet.github.io/learnable-triangulation
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views. The first (baseline) solution is a basic differentiable algebraic triangulation with an addition of confidence weights estimated from the input images...
[ { "created": "Tue, 14 May 2019 17:59:20 GMT", "version": "v1" } ]
2019-05-15
[ [ "Iskakov", "Karim", "" ], [ "Burkov", "Egor", "" ], [ "Lempitsky", "Victor", "" ], [ "Malkov", "Yury", "" ] ]
We present two novel solutions for multi-view 3D human pose estimation based on new learnable triangulation methods that combine 3D information from multiple 2D views. The first (baseline) solution is a basic differentiable algebraic triangulation with an addition of confidence weights estimated from the input images. ...
2407.16732
Yaolun Zhang
Yaolun Zhang, Yinxu Pan, Yudong Wang, Jie Cai
PyBench: Evaluating LLM Agent on various real-world coding tasks
16 pages
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The LLM Agent, equipped with a code interpreter, is capable of automatically solving real-world coding tasks, such as data analysis and image editing. However, existing benchmarks primarily focus on either simplistic tasks, such as completing a few lines of code, or on extremely complex and specific tasks at the re...
[ { "created": "Tue, 23 Jul 2024 15:23:14 GMT", "version": "v1" }, { "created": "Sat, 3 Aug 2024 03:00:43 GMT", "version": "v2" } ]
2024-08-06
[ [ "Zhang", "Yaolun", "" ], [ "Pan", "Yinxu", "" ], [ "Wang", "Yudong", "" ], [ "Cai", "Jie", "" ] ]
The LLM Agent, equipped with a code interpreter, is capable of automatically solving real-world coding tasks, such as data analysis and image editing. However, existing benchmarks primarily focus on either simplistic tasks, such as completing a few lines of code, or on extremely complex and specific tasks at the reposi...
2401.16551
Hui Zhou
Hui Zhou, Ken Raffenetti, Junchao Zhang, Yanfei Guo, Rajeev Thakur
Frustrated with MPI+Threads? Try MPIxThreads!
null
null
10.1145/3615318.3615320
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
MPI+Threads, embodied by the MPI/OpenMP hybrid programming model, is a parallel programming paradigm where threads are used for on-node shared-memory parallelization and MPI is used for multi-node distributed-memory parallelization. OpenMP provides an incremental approach to parallelize code, while MPI, with its isol...
[ { "created": "Mon, 29 Jan 2024 20:38:18 GMT", "version": "v1" } ]
2024-01-31
[ [ "Zhou", "Hui", "" ], [ "Raffenetti", "Ken", "" ], [ "Zhang", "Junchao", "" ], [ "Guo", "Yanfei", "" ], [ "Thakur", "Rajeev", "" ] ]
MPI+Threads, embodied by the MPI/OpenMP hybrid programming model, is a parallel programming paradigm where threads are used for on-node shared-memory parallelization and MPI is used for multi-node distributed-memory parallelization. OpenMP provides an incremental approach to parallelize code, while MPI, with its isolat...
1808.04239
Chen-Kai Lin
Chen-Kai Lin, Ching-Chun (Jim) Huang, Bow-Yaw Wang
A Spin-based model checking for the simple concurrent program on a preemptive RTOS
7 pages, 5 figures, The 24th Workshop on Compiler Techniques and System Software for High-Performance and Embedded Computing, 2018, Chiayi, Taiwan
null
null
null
cs.OS cs.FL cs.LO
http://creativecommons.org/licenses/by-sa/4.0/
We adapt an existing preemptive scheduling model of RTOS kernel by eChronos from machine-assisted proof to Spin-based model checker. The model we constructed can be automatically verified rather than formulating proofs by hand. Moreover, we look into the designs of a Linux-like real-time kernel--Piko/RT and the speci...
[ { "created": "Tue, 7 Aug 2018 08:21:58 GMT", "version": "v1" } ]
2018-08-14
[ [ "Lin", "Chen-Kai", "", "Jim" ], [ "Ching-Chun", "", "", "Jim" ], [ "Huang", "", "" ], [ "Wang", "Bow-Yaw", "" ] ]
We adapt an existing preemptive scheduling model of RTOS kernel by eChronos from machine-assisted proof to Spin-based model checker. The model we constructed can be automatically verified rather than formulating proofs by hand. Moreover, we look into the designs of a Linux-like real-time kernel--Piko/RT and the specifi...
1904.04603
Leonardo Fernandez-Jambrina
Leonardo Fernandez-Jambrina and Francisco Perez-Arribas
Developable surface patches bounded by NURBS curves
17 pages, 17 figures. Accepted for publication in Journal of Computational Mathematics
Journal of Computational Mathematics 38, 693-709 (2020)
10.4208/jcm.1904-m2018-0209
null
cs.GR math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we construct developable surface patches which are bounded by two rational or NURBS curves, though the resulting patch is not a rational or NURBS surface in general. This is accomplished by reparameterizing one of the boundary curves. The reparameterization function is the solution of an algebraic equat...
[ { "created": "Tue, 9 Apr 2019 11:34:57 GMT", "version": "v1" } ]
2020-04-27
[ [ "Fernandez-Jambrina", "Leonardo", "" ], [ "Perez-Arribas", "Francisco", "" ] ]
In this paper we construct developable surface patches which are bounded by two rational or NURBS curves, though the resulting patch is not a rational or NURBS surface in general. This is accomplished by reparameterizing one of the boundary curves. The reparameterization function is the solution of an algebraic equatio...
2212.08890
Pengfei Xi
Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Determining causal effects of temporal multi-intervention assists decision-making. Restricted by time-varying bias, selection bias, and interactions of multiple interventions, the disentanglement and estimation of multiple treatment effects from individual temporal data is still rare. To tackle these challenges, we p...
[ { "created": "Sat, 17 Dec 2022 15:01:05 GMT", "version": "v1" } ]
2022-12-20
[ [ "Xi", "Pengfei", "" ], [ "Wang", "Guifeng", "" ], [ "Hu", "Zhipeng", "" ], [ "Xiong", "Yu", "" ], [ "Gong", "Mingming", "" ], [ "Huang", "Wei", "" ], [ "Wu", "Runze", "" ], [ "Ding", "Yu", "...
Determining causal effects of temporal multi-intervention assists decision-making. Restricted by time-varying bias, selection bias, and interactions of multiple interventions, the disentanglement and estimation of multiple treatment effects from individual temporal data is still rare. To tackle these challenges, we pro...
1903.03213
Chaozhuo Li
Chaozhuo Li, Senzhang Wang, Philip S. Yu, and Zhoujun Li
Multi-Hot Compact Network Embedding
null
Published in CIKM 2019
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network embedding, as a promising way of the network representation learning, is capable of supporting various subsequent network mining and analysis tasks, and has attracted growing research interests recently. Traditional approaches assign each node with an independent continuous vector, which will cause huge memor...
[ { "created": "Thu, 7 Mar 2019 23:04:35 GMT", "version": "v1" }, { "created": "Mon, 21 Oct 2019 15:01:19 GMT", "version": "v2" } ]
2019-10-22
[ [ "Li", "Chaozhuo", "" ], [ "Wang", "Senzhang", "" ], [ "Yu", "Philip S.", "" ], [ "Li", "Zhoujun", "" ] ]
Network embedding, as a promising way of the network representation learning, is capable of supporting various subsequent network mining and analysis tasks, and has attracted growing research interests recently. Traditional approaches assign each node with an independent continuous vector, which will cause huge memory ...
1410.7660
Praneeth Netrapalli
Praneeth Netrapalli and U N Niranjan and Sujay Sanghavi and Animashree Anandkumar and Prateek Jain
Non-convex Robust PCA
Extended abstract to appear in NIPS 2014
null
null
null
cs.IT cs.LG math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new method for robust PCA -- the task of recovering a low-rank matrix from sparse corruptions that are of unknown value and support. Our method involves alternating between projecting appropriate residuals onto the set of low-rank matrices, and the set of sparse matrices; each projection is {\em non-conv...
[ { "created": "Tue, 28 Oct 2014 15:33:13 GMT", "version": "v1" } ]
2014-10-29
[ [ "Netrapalli", "Praneeth", "" ], [ "Niranjan", "U N", "" ], [ "Sanghavi", "Sujay", "" ], [ "Anandkumar", "Animashree", "" ], [ "Jain", "Prateek", "" ] ]
We propose a new method for robust PCA -- the task of recovering a low-rank matrix from sparse corruptions that are of unknown value and support. Our method involves alternating between projecting appropriate residuals onto the set of low-rank matrices, and the set of sparse matrices; each projection is {\em non-convex...
0911.1516
Sana Ullah
Sana Ullah, M.A. Khan, Kyung Sup Kwak
A Discourse-based Approach in Text-based Machine Translation
1 figure, 3 tables, ICCIT 07, Vol. 3, pp 1073-1074, Busan, June 2007
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a theoretical research based approach to ellipsis resolution in machine translation. The formula of discourse is applied in order to resolve ellipses. The validity of the discourse formula is analyzed by applying it to the real world text, i.e., newspaper fragments. The source text is converted in...
[ { "created": "Sun, 8 Nov 2009 10:57:04 GMT", "version": "v1" }, { "created": "Wed, 28 Jul 2010 08:49:34 GMT", "version": "v2" } ]
2010-07-29
[ [ "Ullah", "Sana", "" ], [ "Khan", "M. A.", "" ], [ "Kwak", "Kyung Sup", "" ] ]
This paper presents a theoretical research based approach to ellipsis resolution in machine translation. The formula of discourse is applied in order to resolve ellipses. The validity of the discourse formula is analyzed by applying it to the real world text, i.e., newspaper fragments. The source text is converted into...
2110.08845
Suyu Ge
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
Fine-Grained Opinion Summarization with Minimal Supervision
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Opinion summarization aims to profile a target by extracting opinions from multiple documents. Most existing work approaches the task in a semi-supervised manner due to the difficulty of obtaining high-quality annotation from thousands of documents. Among them, some use aspect and sentiment analysis as a proxy for id...
[ { "created": "Sun, 17 Oct 2021 15:16:34 GMT", "version": "v1" } ]
2021-10-19
[ [ "Ge", "Suyu", "" ], [ "Huang", "Jiaxin", "" ], [ "Meng", "Yu", "" ], [ "Wang", "Sharon", "" ], [ "Han", "Jiawei", "" ] ]
Opinion summarization aims to profile a target by extracting opinions from multiple documents. Most existing work approaches the task in a semi-supervised manner due to the difficulty of obtaining high-quality annotation from thousands of documents. Among them, some use aspect and sentiment analysis as a proxy for iden...
2202.12333
Nannan Zhang
Nannan Zhang, Yuanwei Liu, Xidong Mu, Wei Wang
Queue-Aware STAR-RIS Assisted NOMA Communication Systems
30 pages, 11 figures
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, the queue-aware simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communication system is investigated to ensure the system stability, where the long-term stability-oriented problem is reformulated to maximize the pe...
[ { "created": "Thu, 24 Feb 2022 19:36:42 GMT", "version": "v1" } ]
2022-02-28
[ [ "Zhang", "Nannan", "" ], [ "Liu", "Yuanwei", "" ], [ "Mu", "Xidong", "" ], [ "Wang", "Wei", "" ] ]
In this paper, the queue-aware simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) assisted non-orthogonal multiple access (NOMA) communication system is investigated to ensure the system stability, where the long-term stability-oriented problem is reformulated to maximize the per-...
2203.00592
Yuxuan Zhao
Yuxuan Zhao, Alexandru Uta
Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions
Published in 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2022
null
10.1109/CCGrid54584.2022.00026
null
cs.DC
http://creativecommons.org/licenses/by-sa/4.0/
In serverless computing, applications are executed under lightweight virtualization and isolation environments, such as containers or micro virtual machines. Typically, their memory allocation is set by the user before deployment. All other resources, such as CPU, are allocated by the provider statically and proporti...
[ { "created": "Tue, 1 Mar 2022 16:27:29 GMT", "version": "v1" }, { "created": "Mon, 31 Oct 2022 10:46:22 GMT", "version": "v2" } ]
2022-11-01
[ [ "Zhao", "Yuxuan", "" ], [ "Uta", "Alexandru", "" ] ]
In serverless computing, applications are executed under lightweight virtualization and isolation environments, such as containers or micro virtual machines. Typically, their memory allocation is set by the user before deployment. All other resources, such as CPU, are allocated by the provider statically and proportion...
2005.03975
Yan Xu
Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
Accepted EMNLP2020 NLP-COVID Workshop
null
null
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present CAiRE-COVID, a real-time question answering (QA) and multi-document summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open Research Dataset Challenge, judged by medical experts. Our system aims to tackle the recent challenge of mining the numerous scientific articles being publishe...
[ { "created": "Mon, 4 May 2020 15:07:27 GMT", "version": "v1" }, { "created": "Fri, 16 Oct 2020 02:47:06 GMT", "version": "v2" }, { "created": "Tue, 8 Dec 2020 11:30:49 GMT", "version": "v3" } ]
2020-12-09
[ [ "Su", "Dan", "" ], [ "Xu", "Yan", "" ], [ "Yu", "Tiezheng", "" ], [ "Siddique", "Farhad Bin", "" ], [ "Barezi", "Elham J.", "" ], [ "Fung", "Pascale", "" ] ]
We present CAiRE-COVID, a real-time question answering (QA) and multi-document summarization system, which won one of the 10 tasks in the Kaggle COVID-19 Open Research Dataset Challenge, judged by medical experts. Our system aims to tackle the recent challenge of mining the numerous scientific articles being published ...
2303.07770
Chan Gao
Chan Gao, Bin Yang, Dong Zheng, Xiaohong Jiang, Tarik Taleb
Cooperative Jamming and Relay Selection for Covert Communications
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the covert communications via cooperative jamming and relay selection in a wireless relay system, where a source intends to transmit a message to its destination with the help of a selected relay, and a warden attempts to detect the existence of wireless transmissions from both the source and ...
[ { "created": "Tue, 14 Mar 2023 10:19:33 GMT", "version": "v1" } ]
2023-03-15
[ [ "Gao", "Chan", "" ], [ "Yang", "Bin", "" ], [ "Zheng", "Dong", "" ], [ "Jiang", "Xiaohong", "" ], [ "Taleb", "Tarik", "" ] ]
This paper investigates the covert communications via cooperative jamming and relay selection in a wireless relay system, where a source intends to transmit a message to its destination with the help of a selected relay, and a warden attempts to detect the existence of wireless transmissions from both the source and re...
1412.5902
Teng Qiu
Teng Qiu, Kaifu Yang, Chaoyi Li, Yongjie Li
Nearest Descent, In-Tree, and Clustering
28 pages: text part(1-14), supplementary material(15-28)
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In this paper, we propose a physically inspired graph-theoretical clustering method, which first makes the data points organized into an attractive graph, called In-Tree, via a physically inspired rule, called Nearest Descent (ND). In particular, the rule of ND works to select the nearest node in the descending direc...
[ { "created": "Sun, 7 Dec 2014 11:38:55 GMT", "version": "v1" }, { "created": "Thu, 25 Jan 2018 14:57:28 GMT", "version": "v2" } ]
2018-01-26
[ [ "Qiu", "Teng", "" ], [ "Yang", "Kaifu", "" ], [ "Li", "Chaoyi", "" ], [ "Li", "Yongjie", "" ] ]
In this paper, we propose a physically inspired graph-theoretical clustering method, which first makes the data points organized into an attractive graph, called In-Tree, via a physically inspired rule, called Nearest Descent (ND). In particular, the rule of ND works to select the nearest node in the descending directi...
2112.13174
Lu Xing
Lu Xing, Eric Lee, Tong An, Bo-Cheng Chu, Ahmed Mahmood, Ahmed M. Aly, Jianguo Wang, Walid G. Aref
An Experimental Evaluation and Investigation of Waves of Misery in R-trees
To appear in VLDB 2022
null
10.14778/3494124.3494132
null
cs.DB
http://creativecommons.org/licenses/by-nc-nd/4.0/
Waves of misery is a phenomenon where spikes of many node splits occur over short periods of time in tree indexes. Waves of misery negatively affect the performance of tree indexes in insertion-heavy workloads.Waves of misery have been first observed in the context of the B-tree, where these waves cause unpredictable...
[ { "created": "Sat, 25 Dec 2021 02:33:26 GMT", "version": "v1" } ]
2021-12-28
[ [ "Xing", "Lu", "" ], [ "Lee", "Eric", "" ], [ "An", "Tong", "" ], [ "Chu", "Bo-Cheng", "" ], [ "Mahmood", "Ahmed", "" ], [ "Aly", "Ahmed M.", "" ], [ "Wang", "Jianguo", "" ], [ "Aref", "Walid G."...
Waves of misery is a phenomenon where spikes of many node splits occur over short periods of time in tree indexes. Waves of misery negatively affect the performance of tree indexes in insertion-heavy workloads.Waves of misery have been first observed in the context of the B-tree, where these waves cause unpredictable i...
1009.4586
S. M. Kamruzzaman
Md. Hijbul Alam, Abdul Kadar Muhammad Masum, Mohammad Mahadi Hassan, and S. M. Kamruzzaman
Optimal Bangla Keyboard Layout using Association Rule of Data Mining
3 Pages, International Conference
Proc. 7th International Conference on Computer and Information Technology (ICCIT 2004), Dhaka, Bangladesh, pp. 679-681, Dec. 2004
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet has a large number of letters, for this it is difficult to type faster using Bangla keyboard. Our proposed keyboard will maximize the spee...
[ { "created": "Thu, 23 Sep 2010 11:42:41 GMT", "version": "v1" } ]
2010-09-27
[ [ "Alam", "Md. Hijbul", "" ], [ "Masum", "Abdul Kadar Muhammad", "" ], [ "Hassan", "Mohammad Mahadi", "" ], [ "Kamruzzaman", "S. M.", "" ] ]
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet has a large number of letters, for this it is difficult to type faster using Bangla keyboard. Our proposed keyboard will maximize the speed ...
2303.15443
Tarun Kalluri
Tarun Kalluri, Wangdong Xu, Manmohan Chandraker
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
CVPR 2023 Camera Ready. Project Page: https://tarun005.github.io/GeoNet
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
In recent years, several efforts have been aimed at improving the robustness of vision models to domains and environments unseen during training. An important practical problem pertains to models deployed in a new geography that is under-represented in the training dataset, posing a direct challenge to fair and inclu...
[ { "created": "Mon, 27 Mar 2023 17:59:34 GMT", "version": "v1" } ]
2023-03-28
[ [ "Kalluri", "Tarun", "" ], [ "Xu", "Wangdong", "" ], [ "Chandraker", "Manmohan", "" ] ]
In recent years, several efforts have been aimed at improving the robustness of vision models to domains and environments unseen during training. An important practical problem pertains to models deployed in a new geography that is under-represented in the training dataset, posing a direct challenge to fair and inclusi...
2108.02226
Willy Kuo
Willy Kuo, Diego Rossinelli, Georg Schulz, Roland H. Wenger, Simone Hieber, Bert M\"uller, Vartan Kurtcuoglu
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
null
Scientific Data 10, 510 (2023)
10.1038/s41597-023-02407-5
null
cs.CV physics.med-ph q-bio.TO
http://creativecommons.org/licenses/by/4.0/
The performance of machine learning algorithms, when used for segmenting 3D biomedical images, does not reach the level expected based on results achieved with 2D photos. This may be explained by the comparative lack of high-volume, high-quality training datasets, which require state-of-the-art imaging facilities, do...
[ { "created": "Wed, 4 Aug 2021 18:08:28 GMT", "version": "v1" }, { "created": "Fri, 21 Jul 2023 17:27:10 GMT", "version": "v2" }, { "created": "Fri, 28 Jul 2023 22:49:56 GMT", "version": "v3" } ]
2023-08-04
[ [ "Kuo", "Willy", "" ], [ "Rossinelli", "Diego", "" ], [ "Schulz", "Georg", "" ], [ "Wenger", "Roland H.", "" ], [ "Hieber", "Simone", "" ], [ "Müller", "Bert", "" ], [ "Kurtcuoglu", "Vartan", "" ] ]
The performance of machine learning algorithms, when used for segmenting 3D biomedical images, does not reach the level expected based on results achieved with 2D photos. This may be explained by the comparative lack of high-volume, high-quality training datasets, which require state-of-the-art imaging facilities, doma...
2108.08584
Tao He
Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li
Exploiting Scene Graphs for Human-Object Interaction Detection
Accepted to ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Human-Object Interaction (HOI) detection is a fundamental visual task aiming at localizing and recognizing interactions between humans and objects. Existing works focus on the visual and linguistic features of humans and objects. However, they do not capitalise on the high-level and semantic relationships present in ...
[ { "created": "Thu, 19 Aug 2021 09:40:50 GMT", "version": "v1" } ]
2021-08-20
[ [ "He", "Tao", "" ], [ "Gao", "Lianli", "" ], [ "Song", "Jingkuan", "" ], [ "Li", "Yuan-Fang", "" ] ]
Human-Object Interaction (HOI) detection is a fundamental visual task aiming at localizing and recognizing interactions between humans and objects. Existing works focus on the visual and linguistic features of humans and objects. However, they do not capitalise on the high-level and semantic relationships present in th...
2204.13237
Takahiro Niwa
Takahiro Niwa, Shun Taguchi, Noriaki Hirose
Spatio-Temporal Graph Localization Networks for Image-based Navigation
8 pages, 4 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Localization in topological maps is essential for image-based navigation using an RGB camera. Localization using only one camera can be challenging in medium-to-large-sized environments because similar-looking images are often observed repeatedly, especially in indoor environments. To overcome this issue, we propose ...
[ { "created": "Thu, 28 Apr 2022 00:29:29 GMT", "version": "v1" } ]
2022-04-29
[ [ "Niwa", "Takahiro", "" ], [ "Taguchi", "Shun", "" ], [ "Hirose", "Noriaki", "" ] ]
Localization in topological maps is essential for image-based navigation using an RGB camera. Localization using only one camera can be challenging in medium-to-large-sized environments because similar-looking images are often observed repeatedly, especially in indoor environments. To overcome this issue, we propose a ...
2309.07727
Daisuke Oba
Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts
11 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The meanings of words and phrases depend not only on where they are used (contexts) but also on who use them (writers). Pretrained language models (PLMs) are powerful tools for capturing context, but they are typically pretrained and fine-tuned for universal use across different writers. This study aims to improve th...
[ { "created": "Thu, 14 Sep 2023 14:03:48 GMT", "version": "v1" } ]
2023-09-15
[ [ "Oba", "Daisuke", "" ], [ "Yoshinaga", "Naoki", "" ], [ "Toyoda", "Masashi", "" ] ]
The meanings of words and phrases depend not only on where they are used (contexts) but also on who use them (writers). Pretrained language models (PLMs) are powerful tools for capturing context, but they are typically pretrained and fine-tuned for universal use across different writers. This study aims to improve the ...
1807.09011
Axel Brando Guillaumes
Axel Brando, Jose A. Rodr\'iguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitri\`a
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
17 pages, 5 figures, Applied Data Science Track of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018)
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples. However, in regression tasks, the straightforward application of Deep Learning models provides a point estimate of the target. In addition, the model does not take into account the...
[ { "created": "Tue, 24 Jul 2018 10:15:49 GMT", "version": "v1" } ]
2018-07-25
[ [ "Brando", "Axel", "" ], [ "Rodríguez-Serrano", "Jose A.", "" ], [ "Ciprian", "Mauricio", "" ], [ "Maestre", "Roberto", "" ], [ "Vitrià", "Jordi", "" ] ]
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function when provided with large data sets of examples. However, in regression tasks, the straightforward application of Deep Learning models provides a point estimate of the target. In addition, the model does not take into account the u...
1611.06164
Shuanshuan Wu
Shuanshuan Wu, Rachad Atat, Nicholas Mastronarde, and Lingjia Liu
Improving the Coverage and Spectral Efficiency of Millimeter-Wave Cellular Networks using Device-to-Device Relays
null
null
10.1109/TCOMM.2017.2787990
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The susceptibility of millimeter waveform propagation to blockages limits the coverage of millimeter-wave (mmWave) signals. To overcome blockages, we propose to leverage two-hop device-to-device (D2D) relaying. Using stochastic geometry, we derive expressions for the downlink coverage probability of relay-assisted mm...
[ { "created": "Fri, 18 Nov 2016 17:19:39 GMT", "version": "v1" }, { "created": "Tue, 2 Jan 2018 05:38:37 GMT", "version": "v2" } ]
2018-01-03
[ [ "Wu", "Shuanshuan", "" ], [ "Atat", "Rachad", "" ], [ "Mastronarde", "Nicholas", "" ], [ "Liu", "Lingjia", "" ] ]
The susceptibility of millimeter waveform propagation to blockages limits the coverage of millimeter-wave (mmWave) signals. To overcome blockages, we propose to leverage two-hop device-to-device (D2D) relaying. Using stochastic geometry, we derive expressions for the downlink coverage probability of relay-assisted mmWa...
1705.00467
Bamdev Mishra
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, and Atul Saroop
A Riemannian gossip approach to subspace learning on Grassmann manifold
Title change, extension of the technical report arXiv:1605.06968
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we focus on subspace learning problems on the Grassmann manifold. Interesting applications in this setting include low-rank matrix completion and low-dimensional multivariate regression, among others. Motivated by privacy concerns, we aim to solve such problems in a decentralized setting where multiple...
[ { "created": "Mon, 1 May 2017 11:02:17 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2018 18:46:33 GMT", "version": "v2" } ]
2018-03-01
[ [ "Mishra", "Bamdev", "" ], [ "Kasai", "Hiroyuki", "" ], [ "Jawanpuria", "Pratik", "" ], [ "Saroop", "Atul", "" ] ]
In this paper, we focus on subspace learning problems on the Grassmann manifold. Interesting applications in this setting include low-rank matrix completion and low-dimensional multivariate regression, among others. Motivated by privacy concerns, we aim to solve such problems in a decentralized setting where multiple a...
2201.04130
Martin Hor\'ak
B. Patz\'ak, V. \v{S}milauer, M. Hor\'ak, S. \v{S}ulc, E. Dvo\v{r}\'akov\'a
Multi-physics integration platform MuPIF: Application for composite material design
null
null
null
null
cs.HC cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the design of the MuPIF distributed, multi-physics simulation platform and its performance in the context of the H2020 Composelector project. The description of MuPIF's model and data interfaces provides implementation and operational details that illustrate how MuPIF is a highly versatile and rob...
[ { "created": "Tue, 11 Jan 2022 18:52:36 GMT", "version": "v1" } ]
2022-01-13
[ [ "Patzák", "B.", "" ], [ "Šmilauer", "V.", "" ], [ "Horák", "M.", "" ], [ "Šulc", "S.", "" ], [ "Dvořáková", "E.", "" ] ]
This paper presents the design of the MuPIF distributed, multi-physics simulation platform and its performance in the context of the H2020 Composelector project. The description of MuPIF's model and data interfaces provides implementation and operational details that illustrate how MuPIF is a highly versatile and robus...
2302.05765
Claudio Gentile
Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, Andre' Panisson
Adversarial Online Collaborative Filtering
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an online fashion and a given user cannot be recommended the same content item more than once. We start by designing and analyzing an algorithm that works under biclustering assumpt...
[ { "created": "Sat, 11 Feb 2023 19:30:55 GMT", "version": "v1" }, { "created": "Fri, 29 Dec 2023 22:29:21 GMT", "version": "v2" } ]
2024-01-02
[ [ "Pasteris", "Stephen", "" ], [ "Vitale", "Fabio", "" ], [ "Herbster", "Mark", "" ], [ "Gentile", "Claudio", "" ], [ "Panisson", "Andre'", "" ] ]
We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an online fashion and a given user cannot be recommended the same content item more than once. We start by designing and analyzing an algorithm that works under biclustering assumptio...
2310.18635
Haipeng Zeng
Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, and Haipeng Zeng
T-PickSeer: Visual Analysis of Taxi Pick-up Point Selection Behavior
10 pages, 10 figures; The 10th China Visualization and Visual Analytics Conference
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi mana...
[ { "created": "Sat, 28 Oct 2023 08:31:52 GMT", "version": "v1" } ]
2023-10-31
[ [ "Gu", "Shuxian", "" ], [ "Dai", "Yemo", "" ], [ "Feng", "Zezheng", "" ], [ "Wang", "Yong", "" ], [ "Zeng", "Haipeng", "" ] ]
Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi manage...
2305.05666
Sahand Rezaei-Shoshtari Mr.
Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Published in the Journal of Machine Learning Research (JMLR). arXiv admin note: text overlap with arXiv:2209.07364
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reinforcement learning (RL) on high-dimensional and complex problems relies on abstraction for improved efficiency and generalization. In this paper, we study abstraction in the continuous-control setting, and extend the definition of Markov decision process (MDP) homomorphisms to the setting of continuous state and ...
[ { "created": "Tue, 9 May 2023 17:59:10 GMT", "version": "v1" }, { "created": "Thu, 7 Mar 2024 17:26:06 GMT", "version": "v2" } ]
2024-03-08
[ [ "Panangaden", "Prakash", "" ], [ "Rezaei-Shoshtari", "Sahand", "" ], [ "Zhao", "Rosie", "" ], [ "Meger", "David", "" ], [ "Precup", "Doina", "" ] ]
Reinforcement learning (RL) on high-dimensional and complex problems relies on abstraction for improved efficiency and generalization. In this paper, we study abstraction in the continuous-control setting, and extend the definition of Markov decision process (MDP) homomorphisms to the setting of continuous state and ac...
2107.13821
Florian Bachinger
Florian Bachinger, Gabriel Kronberger
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications
International Conference on Computer Aided Systems Theory, Eurocast 2019, pp 263-270
In: Moreno-D\'iaz R. et al (eds) Computer Aided Systems Theory. Lecture Notes in Computer Science, Vol. 12013 (2020)
10.1007/978-3-030-45093-9_32
null
cs.LG cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increasing number of created and deployed prediction models and the complexity of machine learning workflows we require so called model management systems to support data scientists in their tasks. In this work we describe our technological concept for such a model management system. This concept includes ve...
[ { "created": "Thu, 29 Jul 2021 08:38:46 GMT", "version": "v1" } ]
2021-07-30
[ [ "Bachinger", "Florian", "" ], [ "Kronberger", "Gabriel", "" ] ]
With the increasing number of created and deployed prediction models and the complexity of machine learning workflows we require so called model management systems to support data scientists in their tasks. In this work we describe our technological concept for such a model management system. This concept includes vers...
1401.4662
Suman Kumar
Suman Kumar, Sheetal Kalyani, and K. Giridhar
Optimal Thresholds for Coverage and Rate in FFR Schemes for Planned Cellular Networks
Submitted to: IEEE Transactions on Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fractional frequency reuse (FFR) is an inter-cell interference coordination scheme that is being actively researched for emerging wireless cellular networks. In this work, we consider hexagonal tessellation based planned FFR deployments, and derive expressions for the coverage probability and normalized average rate ...
[ { "created": "Sun, 19 Jan 2014 12:27:26 GMT", "version": "v1" } ]
2014-01-21
[ [ "Kumar", "Suman", "" ], [ "Kalyani", "Sheetal", "" ], [ "Giridhar", "K.", "" ] ]
Fractional frequency reuse (FFR) is an inter-cell interference coordination scheme that is being actively researched for emerging wireless cellular networks. In this work, we consider hexagonal tessellation based planned FFR deployments, and derive expressions for the coverage probability and normalized average rate fo...
2306.07464
Suvendu Jena
Suvendu Jena, Jilei Yang, Fangfang Tan
Unlocking Sales Growth: Account Prioritization Engine with Explainable AI
9 pages, 11 figures, 2 tables
null
null
null
cs.AI cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
B2B sales requires effective prediction of customer growth, identification of upsell potential, and mitigation of churn risks. LinkedIn sales representatives traditionally relied on intuition and fragmented data signals to assess customer performance. This resulted in significant time investment in data understanding...
[ { "created": "Mon, 12 Jun 2023 23:42:08 GMT", "version": "v1" } ]
2023-06-14
[ [ "Jena", "Suvendu", "" ], [ "Yang", "Jilei", "" ], [ "Tan", "Fangfang", "" ] ]
B2B sales requires effective prediction of customer growth, identification of upsell potential, and mitigation of churn risks. LinkedIn sales representatives traditionally relied on intuition and fragmented data signals to assess customer performance. This resulted in significant time investment in data understanding a...
2201.05739
Justin Sanchez
Justin Sanchez, Christopher Neff, Hamed Tabkhi
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
null
null
10.1145/3453142.3491293
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems. Skeleton-based action recognition is an attractive approach which, instead of using RGB pixel data, relies on human pose information to classify appropriate actions. However, existing algorithms often a...
[ { "created": "Sat, 15 Jan 2022 02:29:36 GMT", "version": "v1" } ]
2022-01-19
[ [ "Sanchez", "Justin", "" ], [ "Neff", "Christopher", "" ], [ "Tabkhi", "Hamed", "" ] ]
Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems. Skeleton-based action recognition is an attractive approach which, instead of using RGB pixel data, relies on human pose information to classify appropriate actions. However, existing algorithms often ass...
2406.14840
Zhipeng Li
Zhipeng Li, Sichao Li, Geoff Hinchcliffe, Noam Maitless, Nick Birbilis
Automated architectural space layout planning using a physics-inspired generative design framework
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
The determination of space layout is one of the primary activities in the schematic design stage of an architectural project. The initial layout planning defines the shape, dimension, and circulation pattern of internal spaces; which can also affect performance and cost of the construction. When carried out manually,...
[ { "created": "Fri, 21 Jun 2024 02:50:52 GMT", "version": "v1" } ]
2024-06-24
[ [ "Li", "Zhipeng", "" ], [ "Li", "Sichao", "" ], [ "Hinchcliffe", "Geoff", "" ], [ "Maitless", "Noam", "" ], [ "Birbilis", "Nick", "" ] ]
The determination of space layout is one of the primary activities in the schematic design stage of an architectural project. The initial layout planning defines the shape, dimension, and circulation pattern of internal spaces; which can also affect performance and cost of the construction. When carried out manually, s...
1005.5543
Sudeepa Roy
Susan B. Davidson, Sanjeev Khanna, Tova Milo, Debmalya Panigrahi, Sudeepa Roy
Provenance Views for Module Privacy
null
null
null
UPenn Tech Report MS-CIS-10-22
cs.DB cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scientific workflow systems increasingly store provenance information about the module executions used to produce a data item, as well as the parameter settings and intermediate data items passed between module executions. However, authors/owners of workflows may wish to keep some of this information confidential. In...
[ { "created": "Sun, 30 May 2010 15:41:19 GMT", "version": "v1" }, { "created": "Mon, 4 Apr 2011 05:57:16 GMT", "version": "v2" } ]
2011-04-05
[ [ "Davidson", "Susan B.", "" ], [ "Khanna", "Sanjeev", "" ], [ "Milo", "Tova", "" ], [ "Panigrahi", "Debmalya", "" ], [ "Roy", "Sudeepa", "" ] ]
Scientific workflow systems increasingly store provenance information about the module executions used to produce a data item, as well as the parameter settings and intermediate data items passed between module executions. However, authors/owners of workflows may wish to keep some of this information confidential. In p...
1903.01742
Markus Borg
Markus Borg, Oscar Svensson, Kristian Berg, Daniel Hansson
SZZ Unleashed: An Open Implementation of the SZZ Algorithm -- Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project
null
In Proc. of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE'19), pp. 7-12, August 27, 2019, Tallinn, Estonia
10.1145/3340482.3342742
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Numerous empirical software engineering studies rely on detailed information about bugs. While issue trackers often contain information about when bugs were fixed, details about when they were introduced to the system are often absent. As a remedy, researchers often rely on the SZZ algorithm as a heuristic approach t...
[ { "created": "Tue, 5 Mar 2019 09:24:43 GMT", "version": "v1" }, { "created": "Mon, 19 Aug 2019 10:43:20 GMT", "version": "v2" } ]
2019-08-20
[ [ "Borg", "Markus", "" ], [ "Svensson", "Oscar", "" ], [ "Berg", "Kristian", "" ], [ "Hansson", "Daniel", "" ] ]
Numerous empirical software engineering studies rely on detailed information about bugs. While issue trackers often contain information about when bugs were fixed, details about when they were introduced to the system are often absent. As a remedy, researchers often rely on the SZZ algorithm as a heuristic approach to ...
1802.09924
J. G. Wolff
J Gerard Wolff
Introduction to the SP theory of intelligence
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article provides a brief introduction to the "Theory of Intelligence" and its realisation in the "SP Computer Model". The overall goal of the SP programme of research, in accordance with long-established principles in science, has been the simplification and integration of observations and concepts across artifi...
[ { "created": "Sat, 24 Feb 2018 17:25:43 GMT", "version": "v1" } ]
2018-02-28
[ [ "Wolff", "J Gerard", "" ] ]
This article provides a brief introduction to the "Theory of Intelligence" and its realisation in the "SP Computer Model". The overall goal of the SP programme of research, in accordance with long-established principles in science, has been the simplification and integration of observations and concepts across artifici...
1504.06836
Michael Brim
Michael J. Brim, Joshua K. Lothian
Monitoring Extreme-scale Lustre Toolkit
International Workshop on the Lustre Ecosystem: Challenges and Opportunities, March 2015, Annapolis MD
null
null
null
cs.DC cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We discuss the design and ongoing development of the Monitoring Extreme-scale Lustre Toolkit (MELT), a unified Lustre performance monitoring and analysis infrastructure that provides continuous, low-overhead summary information on the health and performance of Lustre, as well as on-demand, in- depth problem diagnosis...
[ { "created": "Sun, 26 Apr 2015 14:57:05 GMT", "version": "v1" } ]
2015-04-28
[ [ "Brim", "Michael J.", "" ], [ "Lothian", "Joshua K.", "" ] ]
We discuss the design and ongoing development of the Monitoring Extreme-scale Lustre Toolkit (MELT), a unified Lustre performance monitoring and analysis infrastructure that provides continuous, low-overhead summary information on the health and performance of Lustre, as well as on-demand, in- depth problem diagnosis a...
2203.11343
Jeongju Sohn
Jeongju Sohn, Mike Papadakis
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many software engineering techniques, such as fault localization, operate based on relevance relationships between tests and code. These relationships are often inferred through the use of dynamic test execution information (test execution traces) that approximate the link between relevant code units and asserted, by...
[ { "created": "Mon, 21 Mar 2022 21:15:02 GMT", "version": "v1" } ]
2022-03-23
[ [ "Sohn", "Jeongju", "" ], [ "Papadakis", "Mike", "" ] ]
Many software engineering techniques, such as fault localization, operate based on relevance relationships between tests and code. These relationships are often inferred through the use of dynamic test execution information (test execution traces) that approximate the link between relevant code units and asserted, by t...
2306.05189
Yingjun Du
Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G.M. Snoek
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Accepted by CoLLAs 2023
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Few-shot meta-learning presents a challenge for gradient descent optimization due to the limited number of training samples per task. To address this issue, we propose an episodic memory optimization for meta-learning, we call EMO, which is inspired by the human ability to recall past learning experiences from the br...
[ { "created": "Thu, 8 Jun 2023 13:39:08 GMT", "version": "v1" }, { "created": "Tue, 13 Jun 2023 06:39:25 GMT", "version": "v2" }, { "created": "Mon, 26 Jun 2023 18:36:32 GMT", "version": "v3" } ]
2023-06-28
[ [ "Du", "Yingjun", "" ], [ "Shen", "Jiayi", "" ], [ "Zhen", "Xiantong", "" ], [ "Snoek", "Cees G. M.", "" ] ]
Few-shot meta-learning presents a challenge for gradient descent optimization due to the limited number of training samples per task. To address this issue, we propose an episodic memory optimization for meta-learning, we call EMO, which is inspired by the human ability to recall past learning experiences from the brai...
2309.14339
Nirat Saini
Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava
Chop & Learn: Recognizing and Generating Object-State Compositions
To appear at ICCV 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting objects in different styles and the resulting object state changes. We propose a new benchmark suite Chop & Learn, to accommodate the needs...
[ { "created": "Mon, 25 Sep 2023 17:59:43 GMT", "version": "v1" } ]
2023-09-26
[ [ "Saini", "Nirat", "" ], [ "Wang", "Hanyu", "" ], [ "Swaminathan", "Archana", "" ], [ "Jayasundara", "Vinoj", "" ], [ "He", "Bo", "" ], [ "Gupta", "Kamal", "" ], [ "Shrivastava", "Abhinav", "" ] ]
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting objects in different styles and the resulting object state changes. We propose a new benchmark suite Chop & Learn, to accommodate the needs o...
1812.02770
Imran Abbasi
Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg and Muhammad Shafique
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint
Design, Automation and Test in Europe (DATE 2019)
null
null
null
cs.CR cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional Hardware Trojan (HT) detection techniques are based on the validation of integrated circuits to determine changes in their functionality, and on non-invasive side-channel analysis to identify the variations in their physical parameters. In particular, almost all the proposed side-channel power-based dete...
[ { "created": "Mon, 5 Nov 2018 10:48:44 GMT", "version": "v1" } ]
2018-12-10
[ [ "Abbassi", "Imran Hafeez", "" ], [ "Khalid", "Faiq", "" ], [ "Rehman", "Semeen", "" ], [ "Kamboh", "Awais Mehmood", "" ], [ "Jantsch", "Axel", "" ], [ "Garg", "Siddharth", "" ], [ "Shafique", "Muhammad", ""...
Conventional Hardware Trojan (HT) detection techniques are based on the validation of integrated circuits to determine changes in their functionality, and on non-invasive side-channel analysis to identify the variations in their physical parameters. In particular, almost all the proposed side-channel power-based detect...
2310.01693
Matthew Finlayson
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Despite their ubiquity in language generation, it remains unknown why truncation sampling heuristics like nucleus sampling are so effective. We provide a theoretical explanation for the effectiveness of the truncation sampling by proving that truncation methods that discard tokens below some probability threshold (th...
[ { "created": "Mon, 2 Oct 2023 23:16:25 GMT", "version": "v1" } ]
2023-10-04
[ [ "Finlayson", "Matthew", "" ], [ "Hewitt", "John", "" ], [ "Koller", "Alexander", "" ], [ "Swayamdipta", "Swabha", "" ], [ "Sabharwal", "Ashish", "" ] ]
Despite their ubiquity in language generation, it remains unknown why truncation sampling heuristics like nucleus sampling are so effective. We provide a theoretical explanation for the effectiveness of the truncation sampling by proving that truncation methods that discard tokens below some probability threshold (the ...
2109.14638
Moniba Keymanesh
Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
10 pages , 1 figure
null
null
null
cs.CL cs.CY cs.IR
http://creativecommons.org/licenses/by/4.0/
Existing work on making privacy policies accessible has explored new presentation forms such as color-coding based on the risk factors or summarization to assist users with conscious agreement. To facilitate a more personalized interaction with the policies, in this work, we propose an automated privacy policy questi...
[ { "created": "Wed, 29 Sep 2021 18:00:09 GMT", "version": "v1" } ]
2021-10-01
[ [ "Keymanesh", "Moniba", "" ], [ "Elsner", "Micha", "" ], [ "Parthasarathy", "Srinivasan", "" ] ]
Existing work on making privacy policies accessible has explored new presentation forms such as color-coding based on the risk factors or summarization to assist users with conscious agreement. To facilitate a more personalized interaction with the policies, in this work, we propose an automated privacy policy question...
2111.09858
Christopher Hoang
Christopher Hoang, Sungryull Sohn, Jongwook Choi, Wilka Carvalho, Honglak Lee
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
NeurIPS 2021. Video and code at https://2016choang.github.io/sfl
null
null
null
cs.LG cs.AI cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
Operating in the real-world often requires agents to learn about a complex environment and apply this understanding to achieve a breadth of goals. This problem, known as goal-conditioned reinforcement learning (GCRL), becomes especially challenging for long-horizon goals. Current methods have tackled this problem by ...
[ { "created": "Thu, 18 Nov 2021 18:36:05 GMT", "version": "v1" } ]
2021-11-19
[ [ "Hoang", "Christopher", "" ], [ "Sohn", "Sungryull", "" ], [ "Choi", "Jongwook", "" ], [ "Carvalho", "Wilka", "" ], [ "Lee", "Honglak", "" ] ]
Operating in the real-world often requires agents to learn about a complex environment and apply this understanding to achieve a breadth of goals. This problem, known as goal-conditioned reinforcement learning (GCRL), becomes especially challenging for long-horizon goals. Current methods have tackled this problem by au...
2003.06044
Qile Zhu
Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong li, Yuan Qi
Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dialogue act recognition is a fundamental task for an intelligent dialogue system. Previous work models the whole dialog to predict dialog acts, which may bring the noise from unrelated sentences. In this work, we design a hierarchical model based on self-attention to capture intra-sentence and inter-sentence informa...
[ { "created": "Thu, 12 Mar 2020 22:26:11 GMT", "version": "v1" } ]
2020-03-16
[ [ "Dai", "Zhigang", "" ], [ "Fu", "Jinhua", "" ], [ "Zhu", "Qile", "" ], [ "Cui", "Hengbin", "" ], [ "li", "Xiaolong", "" ], [ "Qi", "Yuan", "" ] ]
Dialogue act recognition is a fundamental task for an intelligent dialogue system. Previous work models the whole dialog to predict dialog acts, which may bring the noise from unrelated sentences. In this work, we design a hierarchical model based on self-attention to capture intra-sentence and inter-sentence informati...
2007.00330
Klemens Esterle
Klemens Esterle, Luis Gressenbuch, Alois Knoll
Formalizing Traffic Rules for Machine Interpretability
Published at IEEE Connected and Automated Vehicles Symposium (CAVS), 2020
null
10.1109/CAVS51000.2020.9334599
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous vehicles need to be designed to abide by the same rules that humans follow. This is challenging, because traffic rules are fuzzy and not well defined, making them incomprehensible to machines. Satisfaction cannot be incorporated in a planning component without proper formalization, nor can it be monitored ...
[ { "created": "Wed, 1 Jul 2020 08:50:47 GMT", "version": "v1" }, { "created": "Tue, 29 Sep 2020 15:52:18 GMT", "version": "v2" } ]
2021-02-08
[ [ "Esterle", "Klemens", "" ], [ "Gressenbuch", "Luis", "" ], [ "Knoll", "Alois", "" ] ]
Autonomous vehicles need to be designed to abide by the same rules that humans follow. This is challenging, because traffic rules are fuzzy and not well defined, making them incomprehensible to machines. Satisfaction cannot be incorporated in a planning component without proper formalization, nor can it be monitored an...
2101.09619
Pascual Juli\'an-Iranzo
Pascual Juli\'an-Iranzo and Fernando S\'aenz-P\'erez
Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System
To be published in the Journal of Theory and Practice of Logic Programming, 17 pages, 4 figures, 5 tables
null
null
null
cs.PL
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be gener...
[ { "created": "Sun, 24 Jan 2021 01:15:13 GMT", "version": "v1" } ]
2021-01-26
[ [ "Julián-Iranzo", "Pascual", "" ], [ "Sáenz-Pérez", "Fernando", "" ] ]
This paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be generat...
1901.09575
Xiandong Meng
Xiandong Meng, Xuan Deng, Shuyuan Zhu and Bing Zeng
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure
Accepted to IEEE International Conference on Image Processing (ICIP) 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS). The proposed network consists of a temporal structure fusion subnet and a spatial detail enhancement subnet. The former subnet is used to estim...
[ { "created": "Mon, 28 Jan 2019 09:42:43 GMT", "version": "v1" }, { "created": "Wed, 22 May 2019 05:30:06 GMT", "version": "v2" } ]
2019-05-23
[ [ "Meng", "Xiandong", "" ], [ "Deng", "Xuan", "" ], [ "Zhu", "Shuyuan", "" ], [ "Zeng", "Bing", "" ] ]
In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS). The proposed network consists of a temporal structure fusion subnet and a spatial detail enhancement subnet. The former subnet is used to estimat...
2101.03919
Sandareka Wickramanayake
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Comprehensible Convolutional Neural Networks via Guided Concept Learning
Accepted to IJCNN 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning concepts that are consistent with human perception is important for Deep Neural Networks to win end-user trust. Post-hoc interpretation methods lack transparency in the feature representations learned by the models. This work proposes a guided learning approach with an additional concept layer in a CNN- base...
[ { "created": "Mon, 11 Jan 2021 14:35:16 GMT", "version": "v1" }, { "created": "Mon, 24 May 2021 16:09:35 GMT", "version": "v2" } ]
2021-05-25
[ [ "Wickramanayake", "Sandareka", "" ], [ "Hsu", "Wynne", "" ], [ "Lee", "Mong Li", "" ] ]
Learning concepts that are consistent with human perception is important for Deep Neural Networks to win end-user trust. Post-hoc interpretation methods lack transparency in the feature representations learned by the models. This work proposes a guided learning approach with an additional concept layer in a CNN- based ...
1406.1244
Stephan Holzer
Alexandra Hochuli, Stephan Holzer, Roger Wattenhofer
Distributed Approximation of Minimum Routing Cost Trees
null
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the NP-hard problem of approximating a Minimum Routing Cost Spanning Tree in the message passing model with limited bandwidth (CONGEST model). In this problem one tries to find a spanning tree of a graph $G$ over $n$ nodes that minimizes the sum of distances between all pairs of nodes. In the considered mode...
[ { "created": "Thu, 5 Jun 2014 00:08:07 GMT", "version": "v1" } ]
2014-06-06
[ [ "Hochuli", "Alexandra", "" ], [ "Holzer", "Stephan", "" ], [ "Wattenhofer", "Roger", "" ] ]
We study the NP-hard problem of approximating a Minimum Routing Cost Spanning Tree in the message passing model with limited bandwidth (CONGEST model). In this problem one tries to find a spanning tree of a graph $G$ over $n$ nodes that minimizes the sum of distances between all pairs of nodes. In the considered model ...
2009.00596
Salvatore Giorgi
Salvatore Giorgi, Sharath Chandra Guntuku, McKenzie Himelein-Wachowiak, Amy Kwarteng, Sy Hwang, Muhammad Rahman, and Brenda Curtis
Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021
Published at the 16th International AAAI Conference on Web and Social Media (ICWSM) 2022
null
null
null
cs.SI cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Black Lives Matter (BLM) is a decentralized social movement protesting violence against Black individuals and communities, with a focus on police brutality. The movement gained significant attention following the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd in 2020. The #BlackLivesMatter social media h...
[ { "created": "Tue, 1 Sep 2020 17:37:39 GMT", "version": "v1" }, { "created": "Mon, 28 Sep 2020 16:20:16 GMT", "version": "v2" }, { "created": "Tue, 7 Jun 2022 15:45:39 GMT", "version": "v3" } ]
2022-06-08
[ [ "Giorgi", "Salvatore", "" ], [ "Guntuku", "Sharath Chandra", "" ], [ "Himelein-Wachowiak", "McKenzie", "" ], [ "Kwarteng", "Amy", "" ], [ "Hwang", "Sy", "" ], [ "Rahman", "Muhammad", "" ], [ "Curtis", "Brenda",...
Black Lives Matter (BLM) is a decentralized social movement protesting violence against Black individuals and communities, with a focus on police brutality. The movement gained significant attention following the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd in 2020. The #BlackLivesMatter social media has...
2005.07445
Tomer Berg Mr.
Tomer Berg, Ofer Shayevitz and Or Ordentlich
Binary Hypothesis Testing with Deterministic Finite-Memory Decision Rules
To be presented at ISIT 2020
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider the problem of binary hypothesis testing with finite memory systems. Let $X_1,X_2,\ldots$ be a sequence of independent identically distributed Bernoulli random variables, with expectation $p$ under $\mathcal{H}_0$ and $q$ under $\mathcal{H}_1$. Consider a finite-memory deterministic machine ...
[ { "created": "Fri, 15 May 2020 09:58:05 GMT", "version": "v1" } ]
2020-05-18
[ [ "Berg", "Tomer", "" ], [ "Shayevitz", "Ofer", "" ], [ "Ordentlich", "Or", "" ] ]
In this paper we consider the problem of binary hypothesis testing with finite memory systems. Let $X_1,X_2,\ldots$ be a sequence of independent identically distributed Bernoulli random variables, with expectation $p$ under $\mathcal{H}_0$ and $q$ under $\mathcal{H}_1$. Consider a finite-memory deterministic machine wi...
1202.0436
David Richerby
Josep Diaz, Leslie Ann Goldberg, George B. Mertzios, David Richerby, Maria Serna and Paul G. Spirakis
On the Fixation Probability of Superstars
Technical content remains the same but we have revised our interpretation of the experimental data and changed the title accordingly. We have included, as ancillary files, our c code (superstar.c) and also documentation demonstrating its correctness (superstarfixprob-ancillary.pdf): download the paper source pa...
Proceedings of the Royal Society A vol 469 no 2156 paper 20130193, 2013
10.1098/rspa.2013.0193
null
cs.CE cs.SI q-bio.PE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Moran process models the spread of genetic mutations through a population. A mutant with relative fitness $r$ is introduced into a population and the system evolves, either reaching fixation (in which every individual is a mutant) or extinction (in which none is). In a widely cited paper (Nature, 2005), Lieberman...
[ { "created": "Thu, 2 Feb 2012 14:13:30 GMT", "version": "v1" }, { "created": "Thu, 29 Mar 2012 16:11:02 GMT", "version": "v2" } ]
2013-08-01
[ [ "Diaz", "Josep", "" ], [ "Goldberg", "Leslie Ann", "" ], [ "Mertzios", "George B.", "" ], [ "Richerby", "David", "" ], [ "Serna", "Maria", "" ], [ "Spirakis", "Paul G.", "" ] ]
The Moran process models the spread of genetic mutations through a population. A mutant with relative fitness $r$ is introduced into a population and the system evolves, either reaching fixation (in which every individual is a mutant) or extinction (in which none is). In a widely cited paper (Nature, 2005), Lieberman, ...
2210.10331
Bahman Javadi
Quoc Lap Trieu, Bahman Javadi, Jim Basilakis, Adel N. Toosi
Performance Evaluation of Serverless Edge Computing for Machine Learning Applications
null
null
null
null
cs.DC cs.PF
http://creativecommons.org/publicdomain/zero/1.0/
Next generation technologies such as smart healthcare, self-driving cars, and smart cities require new approaches to deal with the network traffic generated by the Internet of Things (IoT) devices, as well as efficient programming models to deploy machine learning techniques. Serverless edge computing is an emerging ...
[ { "created": "Wed, 19 Oct 2022 07:02:34 GMT", "version": "v1" } ]
2022-10-20
[ [ "Trieu", "Quoc Lap", "" ], [ "Javadi", "Bahman", "" ], [ "Basilakis", "Jim", "" ], [ "Toosi", "Adel N.", "" ] ]
Next generation technologies such as smart healthcare, self-driving cars, and smart cities require new approaches to deal with the network traffic generated by the Internet of Things (IoT) devices, as well as efficient programming models to deploy machine learning techniques. Serverless edge computing is an emerging co...
2401.15584
Jipeng Guo
Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Graph neural networks (GNNs) demonstrate a robust capability for representation learning on graphs with complex structures, showcasing superior performance in various applications. The majority of existing GNNs employ a graph convolution operation by using both attribute and structure information through coupled lear...
[ { "created": "Sun, 28 Jan 2024 06:43:13 GMT", "version": "v1" } ]
2024-01-30
[ [ "Wang", "Jinlu", "" ], [ "Guo", "Jipeng", "" ], [ "Sun", "Yanfeng", "" ], [ "Gao", "Junbin", "" ], [ "Wang", "Shaofan", "" ], [ "Yang", "Yachao", "" ], [ "Yin", "Baocai", "" ] ]
Graph neural networks (GNNs) demonstrate a robust capability for representation learning on graphs with complex structures, showcasing superior performance in various applications. The majority of existing GNNs employ a graph convolution operation by using both attribute and structure information through coupled learni...
2202.01806
Bo Jiang
Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li
Answering Count Queries for Genomic Data with Perfect Privacy
B. Jiang, M. Seif, R. Tandon and M. Li, "Answering Count Queries for Genomic Data With Perfect Privacy," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3862-3875, 2023, doi: 10.1109/TIFS.2023.3288812
TIFS.2023.3288812
10.1109/TIFS.2023.3288812
null
cs.CR cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
In this paper, we consider the problem of answering count queries for genomic data subject to perfect privacy constraints. Count queries are often used in applications that collect aggregate (population-wide) information from biomedical Databases (DBs) for analysis, such as Genome-wide association studies. Our goal i...
[ { "created": "Thu, 3 Feb 2022 19:29:43 GMT", "version": "v1" }, { "created": "Mon, 3 Jul 2023 08:43:43 GMT", "version": "v2" } ]
2023-07-04
[ [ "Jiang", "Bo", "" ], [ "Seif", "Mohamed", "" ], [ "Tandon", "Ravi", "" ], [ "Li", "Ming", "" ] ]
In this paper, we consider the problem of answering count queries for genomic data subject to perfect privacy constraints. Count queries are often used in applications that collect aggregate (population-wide) information from biomedical Databases (DBs) for analysis, such as Genome-wide association studies. Our goal is ...
2202.03568
EPTCS
John Tang Boyland (University of Wisconsin-Milwaukee)
Evolution of SASyLF 2008-2021
In Proceedings ThEdu'21, arXiv:2202.02144
EPTCS 354, 2022, pp. 87-107
10.4204/EPTCS.354.7
null
cs.LO cs.PL
http://creativecommons.org/licenses/by/4.0/
SASyLF was released in 2008 and used as a proof assistant in courses at several universities. It proved itself useful and has continued to be used, and each iteration of use has encouraged further development: fixing bugs and adding enhancements. This paper describes how SASyLF was developed while keeping true to its...
[ { "created": "Tue, 8 Feb 2022 00:08:42 GMT", "version": "v1" } ]
2022-02-09
[ [ "Boyland", "John Tang", "", "University of Wisconsin-Milwaukee" ] ]
SASyLF was released in 2008 and used as a proof assistant in courses at several universities. It proved itself useful and has continued to be used, and each iteration of use has encouraged further development: fixing bugs and adding enhancements. This paper describes how SASyLF was developed while keeping true to its p...
1912.00513
Kai Yang
Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data privacy and security becomes a major concern in building machine learning models from different data providers. Federated learning shows promise by leaving data at providers locally and exchanging encrypted information. This paper studies the vertical federated learning structure for logistic regression where th...
[ { "created": "Sun, 1 Dec 2019 22:36:50 GMT", "version": "v1" }, { "created": "Wed, 4 Dec 2019 02:18:12 GMT", "version": "v2" } ]
2019-12-05
[ [ "Yang", "Kai", "" ], [ "Fan", "Tao", "" ], [ "Chen", "Tianjian", "" ], [ "Shi", "Yuanming", "" ], [ "Yang", "Qiang", "" ] ]
Data privacy and security becomes a major concern in building machine learning models from different data providers. Federated learning shows promise by leaving data at providers locally and exchanging encrypted information. This paper studies the vertical federated learning structure for logistic regression where the ...
2301.08792
Justus Hibshman
Justus I. Hibshman and Tim Weninger
Inherent Limits on Topology-Based Link Prediction
null
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
Link prediction systems (e.g. recommender systems) typically use graph topology as one of their main sources of information. However, automorphisms and related properties of graphs beget inherent limits in predictability. We calculate hard upper bounds on how well graph topology alone enables link prediction for a wi...
[ { "created": "Fri, 20 Jan 2023 20:29:34 GMT", "version": "v1" }, { "created": "Wed, 8 Feb 2023 18:39:55 GMT", "version": "v2" }, { "created": "Mon, 26 Jun 2023 19:31:02 GMT", "version": "v3" } ]
2023-06-28
[ [ "Hibshman", "Justus I.", "" ], [ "Weninger", "Tim", "" ] ]
Link prediction systems (e.g. recommender systems) typically use graph topology as one of their main sources of information. However, automorphisms and related properties of graphs beget inherent limits in predictability. We calculate hard upper bounds on how well graph topology alone enables link prediction for a wide...
2307.05790
Antonio Libri
W. A. Ahmad, A. Bartolini, F. Beneventi, L. Benini, A. Borghesi, M. Cicala, P. Forestieri, C. Gianfreda, D. Gregori, A. Libri, F. Spiga, S. Tinti
Design of an energy aware petaflops class high performance cluster based on power architecture
null
null
10.1109/IPDPSW.2017.22
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe), an innovative and energy efficient High Performance Computing cluster designed by E4 Computer Engineering for PRACE (Partnership for Advanced Computing in Europe). D.A.V.I.D.E. is built using best-in-class compon...
[ { "created": "Tue, 11 Jul 2023 20:36:35 GMT", "version": "v1" } ]
2023-07-13
[ [ "Ahmad", "W. A.", "" ], [ "Bartolini", "A.", "" ], [ "Beneventi", "F.", "" ], [ "Benini", "L.", "" ], [ "Borghesi", "A.", "" ], [ "Cicala", "M.", "" ], [ "Forestieri", "P.", "" ], [ "Gianfreda", ...
In this paper we present D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe), an innovative and energy efficient High Performance Computing cluster designed by E4 Computer Engineering for PRACE (Partnership for Advanced Computing in Europe). D.A.V.I.D.E. is built using best-in-class componen...
2011.03705
Indra Deep Mastan
Harshil Jain, Rohit Patil, Indra Deep Mastan, and Shanmuganathan Raman
Blind Motion Deblurring through SinGAN Architecture
Deep Internal Learning: Training with no prior examples. ECCV'2020 Workshop
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods for image deblurring mostly involve training models that take a lot of time. These models are da...
[ { "created": "Sat, 7 Nov 2020 06:09:16 GMT", "version": "v1" } ]
2020-11-10
[ [ "Jain", "Harshil", "" ], [ "Patil", "Rohit", "" ], [ "Mastan", "Indra Deep", "" ], [ "Raman", "Shanmuganathan", "" ] ]
Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration problems. The training data-based methods for image deblurring mostly involve training models that take a lot of time. These models are data...
2202.07559
Robin Winter
Robin Winter, Marco Bertolini, Tuan Le, Frank No\'e, Djork-Arn\'e Clevert
Unsupervised Learning of Group Invariant and Equivariant Representations
null
https://papers.nips.cc/paper_files/paper/2022/hash/cf3d7d8e79703fe947deffb587a83639-Abstract-Conference.html
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Equivariant neural networks, whose hidden features transform according to representations of a group G acting on the data, exhibit training efficiency and an improved generalisation performance. In this work, we extend group invariant and equivariant representation learning to the field of unsupervised deep learning....
[ { "created": "Tue, 15 Feb 2022 16:44:21 GMT", "version": "v1" }, { "created": "Thu, 15 Sep 2022 14:02:18 GMT", "version": "v2" }, { "created": "Fri, 12 Apr 2024 13:16:54 GMT", "version": "v3" } ]
2024-04-15
[ [ "Winter", "Robin", "" ], [ "Bertolini", "Marco", "" ], [ "Le", "Tuan", "" ], [ "Noé", "Frank", "" ], [ "Clevert", "Djork-Arné", "" ] ]
Equivariant neural networks, whose hidden features transform according to representations of a group G acting on the data, exhibit training efficiency and an improved generalisation performance. In this work, we extend group invariant and equivariant representation learning to the field of unsupervised deep learning. W...
1902.02919
Maneet Singh
Maneet Singh, Richa Singh, Arun Ross
A Comprehensive Overview of Biometric Fusion
Accepted for publication in Information Fusion
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of a biometric system that relies on a single biometric modality (e.g., fingerprints only) is often stymied by various factors such as poor data quality or limited scalability. Multibiometric systems utilize the principle of fusion to combine information from multiple sources in order to improve recog...
[ { "created": "Fri, 8 Feb 2019 02:15:15 GMT", "version": "v1" } ]
2019-02-11
[ [ "Singh", "Maneet", "" ], [ "Singh", "Richa", "" ], [ "Ross", "Arun", "" ] ]
The performance of a biometric system that relies on a single biometric modality (e.g., fingerprints only) is often stymied by various factors such as poor data quality or limited scalability. Multibiometric systems utilize the principle of fusion to combine information from multiple sources in order to improve recogni...
2407.02862
Vasilis Efthymiou
Nikolaos Fanourakis and Fatia Lekbour and Vasilis Efthymiou and Guillaume Renton and Vassilis Christophides
HybEA: Hybrid Attention Models for Entity Alignment
null
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
The proliferation of Knowledge Graphs (KGs) that support a wide variety of applications, like entity search, question answering and recommender systems, has led to the need for identifying overlapping information among different KGs. Entity Alignment (EA) is the problem of detecting such overlapping information among...
[ { "created": "Wed, 3 Jul 2024 07:22:20 GMT", "version": "v1" } ]
2024-07-04
[ [ "Fanourakis", "Nikolaos", "" ], [ "Lekbour", "Fatia", "" ], [ "Efthymiou", "Vasilis", "" ], [ "Renton", "Guillaume", "" ], [ "Christophides", "Vassilis", "" ] ]
The proliferation of Knowledge Graphs (KGs) that support a wide variety of applications, like entity search, question answering and recommender systems, has led to the need for identifying overlapping information among different KGs. Entity Alignment (EA) is the problem of detecting such overlapping information among K...
2302.06184
Yanze Wang
Yanze Wang, Shanshan Li, Huikun Liu, He Zhang, Bo Pan
A Reference Architecture for Blockchain-based Traceability Systems Using Domain-Driven Design and Microservices
10 pages, 6 figures, Asia Pacific Structural Engineering and Construction conference (APSEC) 2022
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traceability systems are important for solving problems due to the increasing scale of the global supply chain, such as food safety crises and market disorder. Blockchain, as an immutable and decentralized ledger, is able to optimize the traditional traceability system by ensuring the transparency and reliability of ...
[ { "created": "Mon, 13 Feb 2023 08:38:01 GMT", "version": "v1" } ]
2023-02-14
[ [ "Wang", "Yanze", "" ], [ "Li", "Shanshan", "" ], [ "Liu", "Huikun", "" ], [ "Zhang", "He", "" ], [ "Pan", "Bo", "" ] ]
Traceability systems are important for solving problems due to the increasing scale of the global supply chain, such as food safety crises and market disorder. Blockchain, as an immutable and decentralized ledger, is able to optimize the traditional traceability system by ensuring the transparency and reliability of th...
2407.20694
Zsigmond Benk\H{o}
Zsigmond Benk\H{o}, B\'alint Varga, Marcell Stippinger, Zolt\'an Somogyv\'ari
Detecting Causality in the Frequency Domain with Cross-Mapping Coherence
null
null
null
null
cs.LG nlin.CD physics.data-an stat.ML
http://creativecommons.org/licenses/by/4.0/
Understanding causal relationships within a system is crucial for uncovering its underlying mechanisms. Causal discovery methods, which facilitate the construction of such models from time-series data, hold the potential to significantly advance scientific and engineering fields. This study introduces the Cross-Map...
[ { "created": "Tue, 30 Jul 2024 09:43:35 GMT", "version": "v1" } ]
2024-07-31
[ [ "Benkő", "Zsigmond", "" ], [ "Varga", "Bálint", "" ], [ "Stippinger", "Marcell", "" ], [ "Somogyvári", "Zoltán", "" ] ]
Understanding causal relationships within a system is crucial for uncovering its underlying mechanisms. Causal discovery methods, which facilitate the construction of such models from time-series data, hold the potential to significantly advance scientific and engineering fields. This study introduces the Cross-Mapping...
2402.02321
Hongliang Chi
Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
Active Learning for Graphs with Noisy Structures
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Graph Neural Networks (GNNs) have seen significant success in tasks such as node classification, largely contingent upon the availability of sufficient labeled nodes. Yet, the excessive cost of labeling large-scale graphs led to a focus on active learning on graphs, which aims for effective data selection to maximize...
[ { "created": "Sun, 4 Feb 2024 02:23:45 GMT", "version": "v1" } ]
2024-02-06
[ [ "Chi", "Hongliang", "" ], [ "Qi", "Cong", "" ], [ "Wang", "Suhang", "" ], [ "Ma", "Yao", "" ] ]
Graph Neural Networks (GNNs) have seen significant success in tasks such as node classification, largely contingent upon the availability of sufficient labeled nodes. Yet, the excessive cost of labeling large-scale graphs led to a focus on active learning on graphs, which aims for effective data selection to maximize d...
1210.2019
Photios Stavrou
Charalambos D. Charalambous and Photios A. Stavrou
On the relation of nonanticipative rate distortion function and filtering theory
6 pages, 4 figures, final version submitted for publication at 12th Biannual European Control Conference (ECC), 2013
null
null
null
cs.IT cs.SY math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper the relation between nonanticipative rate distortion function (RDF) and Bayesian filtering theory is investigated using the topology of weak convergence of probability measures on Polish spaces. The relation is established via an optimization on the space of conditional distributions of the so-called di...
[ { "created": "Sun, 7 Oct 2012 04:05:49 GMT", "version": "v1" }, { "created": "Thu, 25 Apr 2013 22:05:48 GMT", "version": "v2" } ]
2013-04-29
[ [ "Charalambous", "Charalambos D.", "" ], [ "Stavrou", "Photios A.", "" ] ]
In this paper the relation between nonanticipative rate distortion function (RDF) and Bayesian filtering theory is investigated using the topology of weak convergence of probability measures on Polish spaces. The relation is established via an optimization on the space of conditional distributions of the so-called dire...
2309.14277
Patrick Feeney
Patrick Feeney and Michael C. Hughes
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
The information noise-contrastive estimation (InfoNCE) loss function provides the basis of many self-supervised deep learning methods due to its strong empirical results and theoretic motivation. Previous work suggests a supervised contrastive (SupCon) loss to extend InfoNCE to learn from available class labels. This...
[ { "created": "Mon, 25 Sep 2023 16:40:56 GMT", "version": "v1" }, { "created": "Fri, 16 Feb 2024 20:44:09 GMT", "version": "v2" }, { "created": "Tue, 2 Jul 2024 16:02:39 GMT", "version": "v3" } ]
2024-07-03
[ [ "Feeney", "Patrick", "" ], [ "Hughes", "Michael C.", "" ] ]
The information noise-contrastive estimation (InfoNCE) loss function provides the basis of many self-supervised deep learning methods due to its strong empirical results and theoretic motivation. Previous work suggests a supervised contrastive (SupCon) loss to extend InfoNCE to learn from available class labels. This S...
2403.05770
Bingqian Lin
Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Accepted by TPAMI 2023
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI,2023)
10.1109/TPAMI.2023.3273594
null
cs.CV cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vision-and-language navigation (VLN) asks an agent to follow a given language instruction to navigate through a real 3D environment. Despite significant advances, conventional VLN agents are trained typically under disturbance-free environments and may easily fail in real-world scenarios, since they are unaware of ho...
[ { "created": "Sat, 9 Mar 2024 02:34:13 GMT", "version": "v1" } ]
2024-03-12
[ [ "Lin", "Bingqian", "" ], [ "Long", "Yanxin", "" ], [ "Zhu", "Yi", "" ], [ "Zhu", "Fengda", "" ], [ "Liang", "Xiaodan", "" ], [ "Ye", "Qixiang", "" ], [ "Lin", "Liang", "" ] ]
Vision-and-language navigation (VLN) asks an agent to follow a given language instruction to navigate through a real 3D environment. Despite significant advances, conventional VLN agents are trained typically under disturbance-free environments and may easily fail in real-world scenarios, since they are unaware of how ...
1607.07483
Rasmus Fonseca
Rasmus Fonseca and Dominik Budday and Henry van den Bedem
Collision-Free Poisson Motion Planning in Ultra High-Dimensional Molecular Conformation Spaces
15 pages, 5 figures, submitted to WAFR16
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The function of protein, RNA, and DNA is modulated by fast, dynamic exchanges between three-dimensional conformations. Conformational sampling of biomolecules with exact and nullspace inverse kinematics, using rotatable bonds as revolute joints and non-covalent interactions as holonomic constraints, can accurately ch...
[ { "created": "Mon, 25 Jul 2016 21:20:16 GMT", "version": "v1" } ]
2016-07-27
[ [ "Fonseca", "Rasmus", "" ], [ "Budday", "Dominik", "" ], [ "Bedem", "Henry van den", "" ] ]
The function of protein, RNA, and DNA is modulated by fast, dynamic exchanges between three-dimensional conformations. Conformational sampling of biomolecules with exact and nullspace inverse kinematics, using rotatable bonds as revolute joints and non-covalent interactions as holonomic constraints, can accurately char...
2403.16374
Bin Fan
Yinke Dong, Haifeng Yuan, Hongkun Liu, Wei Jing, Fangzhen Li, Hongmin Liu, Bin Fan
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
null
null
null
null
cs.LG cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurate motion prediction of pedestrians, cyclists, and other surrounding vehicles (all called agents) is very important for autonomous driving. Most existing works capture map information through an one-stage interaction with map by vector-based attention, to provide map constraints for social interaction and multi...
[ { "created": "Mon, 25 Mar 2024 02:38:34 GMT", "version": "v1" } ]
2024-03-26
[ [ "Dong", "Yinke", "" ], [ "Yuan", "Haifeng", "" ], [ "Liu", "Hongkun", "" ], [ "Jing", "Wei", "" ], [ "Li", "Fangzhen", "" ], [ "Liu", "Hongmin", "" ], [ "Fan", "Bin", "" ] ]
Accurate motion prediction of pedestrians, cyclists, and other surrounding vehicles (all called agents) is very important for autonomous driving. Most existing works capture map information through an one-stage interaction with map by vector-based attention, to provide map constraints for social interaction and multi-m...
2005.05635
Xinyan Xiao
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
Accepted by ACL2020
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches. However, sentiment knowledge, such as sentiment words and aspect-sentiment pairs, is ignored in the process of pre-training, despite the fact that they are widely used in traditional sentiment analysis approaches. In th...
[ { "created": "Tue, 12 May 2020 09:23:32 GMT", "version": "v1" }, { "created": "Wed, 20 May 2020 08:12:22 GMT", "version": "v2" } ]
2020-05-21
[ [ "Tian", "Hao", "" ], [ "Gao", "Can", "" ], [ "Xiao", "Xinyan", "" ], [ "Liu", "Hao", "" ], [ "He", "Bolei", "" ], [ "Wu", "Hua", "" ], [ "Wang", "Haifeng", "" ], [ "Wu", "Feng", "" ] ]
Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches. However, sentiment knowledge, such as sentiment words and aspect-sentiment pairs, is ignored in the process of pre-training, despite the fact that they are widely used in traditional sentiment analysis approaches. In this...
2006.06165
David Shamma
David A. Shamma and Tony Dunnigan and Lyndon Kennedy
Automatic Photo to Ideophone Manga Matching
6 pages, 5 figures
null
null
null
cs.HC cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Photo applications offer tools for annotation via text and stickers. Ideophones, mimetic and onomatopoeic words, which are common in graphic novels, have yet to be explored for photo annotation use. We present a method for automatic ideophone recommendation and positioning of the text on photos. These annotations are...
[ { "created": "Thu, 11 Jun 2020 03:01:43 GMT", "version": "v1" } ]
2020-06-12
[ [ "Shamma", "David A.", "" ], [ "Dunnigan", "Tony", "" ], [ "Kennedy", "Lyndon", "" ] ]
Photo applications offer tools for annotation via text and stickers. Ideophones, mimetic and onomatopoeic words, which are common in graphic novels, have yet to be explored for photo annotation use. We present a method for automatic ideophone recommendation and positioning of the text on photos. These annotations are a...
2312.02230
Yunhui Jang
Yunhui Jang, Seul Lee, Sungsoo Ahn
A Simple and Scalable Representation for Graph Generation
International Conference on Learning Representations (ICLR) 2024
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, there has been a surge of interest in employing neural networks for graph generation, a fundamental statistical learning problem with critical applications like molecule design and community analysis. However, most approaches encounter significant limitations when generating large-scale graphs. This is due ...
[ { "created": "Mon, 4 Dec 2023 03:43:26 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2024 05:10:53 GMT", "version": "v2" }, { "created": "Tue, 30 Jul 2024 00:56:40 GMT", "version": "v3" } ]
2024-07-31
[ [ "Jang", "Yunhui", "" ], [ "Lee", "Seul", "" ], [ "Ahn", "Sungsoo", "" ] ]
Recently, there has been a surge of interest in employing neural networks for graph generation, a fundamental statistical learning problem with critical applications like molecule design and community analysis. However, most approaches encounter significant limitations when generating large-scale graphs. This is due to...
1811.09973
Viswanathan Ramachandran
Viswanathan Ramachandran, Sibi Raj B Pillai, Vinod M Prabhakaran
Joint State Estimation and Communication over a State-Dependent Gaussian Multiple Access Channel
12 pages, Journal submission
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A hybrid communication network with a common analog signal and an independent digital data stream as input to each node in a multiple access network is considered. The receiver/base-station has to estimate the analog signal with a given fidelity, and decode the digital streams with a low error probability. Treating t...
[ { "created": "Sun, 25 Nov 2018 08:57:01 GMT", "version": "v1" } ]
2018-11-27
[ [ "Ramachandran", "Viswanathan", "" ], [ "Pillai", "Sibi Raj B", "" ], [ "Prabhakaran", "Vinod M", "" ] ]
A hybrid communication network with a common analog signal and an independent digital data stream as input to each node in a multiple access network is considered. The receiver/base-station has to estimate the analog signal with a given fidelity, and decode the digital streams with a low error probability. Treating the...
1401.6541
Tao Yang
Tao Yang, Ziyang Meng, Guodong Shi, Yiguang Hong, Karl Henrik Johansson
Network Synchronization with Nonlinear Dynamics and Switching Interactions
27 pages, 0 figures
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the synchronization problem for networks of coupled nonlinear dynamical systems under switching communication topologies. Two types of nonlinear agent dynamics are considered. The first one is non-expansive dynamics (stable dynamics with a convex Lyapunov function $\varphi(\cdot)$) and the second...
[ { "created": "Sat, 25 Jan 2014 14:41:21 GMT", "version": "v1" }, { "created": "Mon, 29 Dec 2014 07:01:30 GMT", "version": "v2" }, { "created": "Mon, 24 Aug 2015 03:40:44 GMT", "version": "v3" } ]
2015-08-25
[ [ "Yang", "Tao", "" ], [ "Meng", "Ziyang", "" ], [ "Shi", "Guodong", "" ], [ "Hong", "Yiguang", "" ], [ "Johansson", "Karl Henrik", "" ] ]
This paper considers the synchronization problem for networks of coupled nonlinear dynamical systems under switching communication topologies. Two types of nonlinear agent dynamics are considered. The first one is non-expansive dynamics (stable dynamics with a convex Lyapunov function $\varphi(\cdot)$) and the second o...
2405.20305
Himangi Mittal
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, Kwonjoon Lee
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
We introduce PlausiVL, a large video-language model for anticipating action sequences that are plausible in the real-world. While significant efforts have been made towards anticipating future actions, prior approaches do not take into account the aspect of plausibility in an action sequence. To address this limitati...
[ { "created": "Thu, 30 May 2024 17:50:08 GMT", "version": "v1" } ]
2024-05-31
[ [ "Mittal", "Himangi", "" ], [ "Agarwal", "Nakul", "" ], [ "Lo", "Shao-Yuan", "" ], [ "Lee", "Kwonjoon", "" ] ]
We introduce PlausiVL, a large video-language model for anticipating action sequences that are plausible in the real-world. While significant efforts have been made towards anticipating future actions, prior approaches do not take into account the aspect of plausibility in an action sequence. To address this limitation...
1910.04382
Yang Liu
Yang Liu and David P. Helmbold
Online Learning Using Only Peer Prediction
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers a variant of the classical online learning problem with expert predictions. Our model's differences and challenges are due to lacking any direct feedback on the loss each expert incurs at each time step $t$. We propose an approach that uses peer prediction and identify conditions where it succeed...
[ { "created": "Thu, 10 Oct 2019 06:19:30 GMT", "version": "v1" }, { "created": "Sat, 4 Jan 2020 06:48:27 GMT", "version": "v2" } ]
2020-01-07
[ [ "Liu", "Yang", "" ], [ "Helmbold", "David P.", "" ] ]
This paper considers a variant of the classical online learning problem with expert predictions. Our model's differences and challenges are due to lacking any direct feedback on the loss each expert incurs at each time step $t$. We propose an approach that uses peer prediction and identify conditions where it succeeds....
2106.14213
Srikanth Chandar
Muvazima Mansoor, Srikanth Chandar, Ramamoorthy Srinath
AI based Presentation Creator With Customized Audio Content Delivery
null
null
null
null
cs.LG cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose an architecture to solve a novel problem statement that has stemmed more so in recent times with an increase in demand for virtual content delivery due to the COVID-19 pandemic. All educational institutions, workplaces, research centers, etc. are trying to bridge the gap of communication dur...
[ { "created": "Sun, 27 Jun 2021 12:17:11 GMT", "version": "v1" } ]
2021-06-29
[ [ "Mansoor", "Muvazima", "" ], [ "Chandar", "Srikanth", "" ], [ "Srinath", "Ramamoorthy", "" ] ]
In this paper, we propose an architecture to solve a novel problem statement that has stemmed more so in recent times with an increase in demand for virtual content delivery due to the COVID-19 pandemic. All educational institutions, workplaces, research centers, etc. are trying to bridge the gap of communication durin...
2006.16867
Matthias Rath
Matthias Rath and Alexandru Paul Condurache
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Deep Neural Networks achieve state-of-the-art results in many different problem settings by exploiting vast amounts of training data. However, collecting, storing and - in the case of supervised learning - labelling the data is expensive and time-consuming. Additionally, assessing the networks' generalization abiliti...
[ { "created": "Tue, 30 Jun 2020 14:56:05 GMT", "version": "v1" }, { "created": "Fri, 3 Mar 2023 15:36:34 GMT", "version": "v2" } ]
2023-03-06
[ [ "Rath", "Matthias", "" ], [ "Condurache", "Alexandru Paul", "" ] ]
Deep Neural Networks achieve state-of-the-art results in many different problem settings by exploiting vast amounts of training data. However, collecting, storing and - in the case of supervised learning - labelling the data is expensive and time-consuming. Additionally, assessing the networks' generalization abilities...
1703.01601
Gopal P. Sarma
Gopal P. Sarma
Doing Things Twice (Or Differently): Strategies to Identify Studies for Targeted Validation
4 pages
null
null
null
cs.CY cs.DL physics.soc-ph q-bio.OT
http://creativecommons.org/licenses/by/4.0/
The "reproducibility crisis" has been a highly visible source of scientific controversy and dispute. Here, I propose and review several avenues for identifying and prioritizing research studies for the purpose of targeted validation. Of the various proposals discussed, I identify scientific data science as being a st...
[ { "created": "Sun, 5 Mar 2017 15:00:10 GMT", "version": "v1" }, { "created": "Sat, 21 Apr 2018 20:34:28 GMT", "version": "v2" } ]
2018-04-24
[ [ "Sarma", "Gopal P.", "" ] ]
The "reproducibility crisis" has been a highly visible source of scientific controversy and dispute. Here, I propose and review several avenues for identifying and prioritizing research studies for the purpose of targeted validation. Of the various proposals discussed, I identify scientific data science as being a stra...
1210.4293
Angel Bravo
Angel Bravo-Santos, Petar M. Djuric
Communications with decode-and-forward relays in mesh networks
23 pages, 5 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider mesh networks composed of groups of relaying nodes which operate in decode-and-forward mode, where each node from a group relays information to all the nodes in the next group. We study these networks in two setups, one where the nodes have complete channel state information from the nodes that transmit t...
[ { "created": "Tue, 16 Oct 2012 08:21:20 GMT", "version": "v1" } ]
2012-10-17
[ [ "Bravo-Santos", "Angel", "" ], [ "Djuric", "Petar M.", "" ] ]
We consider mesh networks composed of groups of relaying nodes which operate in decode-and-forward mode, where each node from a group relays information to all the nodes in the next group. We study these networks in two setups, one where the nodes have complete channel state information from the nodes that transmit to ...
2005.13954
Ciar\'an Dunne
Ciar\'an Dunne, J. B. Wells, Fairouz Kamareddine
Adding an Abstraction Barrier to ZF Set Theory
null
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Much mathematical writing exists that is, explicitly or implicitly, based on set theory, often Zermelo-Fraenkel set theory (ZF) or one of its variants. In ZF, the domain of discourse contains only sets, and hence every mathematical object must be a set. Consequently, in ZF, with the usual encoding of an ordered pair ...
[ { "created": "Thu, 28 May 2020 12:45:22 GMT", "version": "v1" } ]
2020-05-29
[ [ "Dunne", "Ciarán", "" ], [ "Wells", "J. B.", "" ], [ "Kamareddine", "Fairouz", "" ] ]
Much mathematical writing exists that is, explicitly or implicitly, based on set theory, often Zermelo-Fraenkel set theory (ZF) or one of its variants. In ZF, the domain of discourse contains only sets, and hence every mathematical object must be a set. Consequently, in ZF, with the usual encoding of an ordered pair ${...