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2308.07177
Adilson Bonifacio
Adilson Luiz Bonifacio
Conformance Checking for Pushdown Reactive Systems based on Visibly Pushdown Languages
arXiv admin note: substantial text overlap with arXiv:2107.11421
null
null
null
cs.SE cs.FL
http://creativecommons.org/licenses/by/4.0/
Testing pushdown reactive systems is deemed important to guarantee a precise and robust software development process. Usually, such systems can be specified by the formalism of Input/Output Visibly Pushdown Labeled Transition System (IOVPTS), where the interaction with the environment is regulated by a pushdown memor...
[ { "created": "Mon, 14 Aug 2023 14:37:43 GMT", "version": "v1" } ]
2023-08-15
[ [ "Bonifacio", "Adilson Luiz", "" ] ]
Testing pushdown reactive systems is deemed important to guarantee a precise and robust software development process. Usually, such systems can be specified by the formalism of Input/Output Visibly Pushdown Labeled Transition System (IOVPTS), where the interaction with the environment is regulated by a pushdown memory....
2309.07423
Nathaniel Robinson
Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen and Graham Neubig
ChatGPT MT: Competitive for High- (but not Low-) Resource Languages
27 pages, 9 figures, 14 tables
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which recent LLM MT performance has never before been evaluated. Without published exp...
[ { "created": "Thu, 14 Sep 2023 04:36:00 GMT", "version": "v1" } ]
2023-09-15
[ [ "Robinson", "Nathaniel R.", "" ], [ "Ogayo", "Perez", "" ], [ "Mortensen", "David R.", "" ], [ "Neubig", "Graham", "" ] ]
Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which recent LLM MT performance has never before been evaluated. Without published exper...
1908.05263
Honglie Chen
Honglie Chen and Weidi Xie and Andrea Vedaldi and Andrew Zisserman
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations
BMVC 2019 (Spotlight)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose AutoCorrect, a method to automatically learn object-annotation alignments from a dataset with annotations affected by geometric noise. The method is based on a consistency loss that enables deep neural networks to be trained, given only noisy annotations as input, to correct the annotations. When some nois...
[ { "created": "Wed, 14 Aug 2019 17:40:10 GMT", "version": "v1" } ]
2019-08-15
[ [ "Chen", "Honglie", "" ], [ "Xie", "Weidi", "" ], [ "Vedaldi", "Andrea", "" ], [ "Zisserman", "Andrew", "" ] ]
We propose AutoCorrect, a method to automatically learn object-annotation alignments from a dataset with annotations affected by geometric noise. The method is based on a consistency loss that enables deep neural networks to be trained, given only noisy annotations as input, to correct the annotations. When some noise-...
1609.01410
M.M.A. Hashem
Jarin Firose Moon, Shamminuj Aktar and M.M.A. Hashem
Securely Outsourcing Large Scale Eigen Value Problem to Public Cloud
null
Computer and Information Technology (ICCIT), 2015 18th International Conference on
10.1109/ICCITechn.2015.7488120
null
cs.CR cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud computing enables clients with limited computational power to economically outsource their large scale computations to a public cloud with huge computational power. Cloud has the massive storage, computational power and software which can be used by clients for reducing their computational overhead and storage ...
[ { "created": "Tue, 6 Sep 2016 06:33:04 GMT", "version": "v1" } ]
2016-09-07
[ [ "Moon", "Jarin Firose", "" ], [ "Aktar", "Shamminuj", "" ], [ "Hashem", "M. M. A.", "" ] ]
Cloud computing enables clients with limited computational power to economically outsource their large scale computations to a public cloud with huge computational power. Cloud has the massive storage, computational power and software which can be used by clients for reducing their computational overhead and storage li...
1811.02598
Yannis Pantazis
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou
Training Generative Adversarial Networks with Weights
6 pages, 3 figures, submitted to Icassp2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The impressive success of Generative Adversarial Networks (GANs) is often overshadowed by the difficulties in their training. Despite the continuous efforts and improvements, there are still open issues regarding their convergence properties. In this paper, we propose a simple training variation where suitable weight...
[ { "created": "Tue, 6 Nov 2018 19:10:33 GMT", "version": "v1" } ]
2018-11-08
[ [ "Pantazis", "Yannis", "" ], [ "Paul", "Dipjyoti", "" ], [ "Fasoulakis", "Michail", "" ], [ "Stylianou", "Yannis", "" ] ]
The impressive success of Generative Adversarial Networks (GANs) is often overshadowed by the difficulties in their training. Despite the continuous efforts and improvements, there are still open issues regarding their convergence properties. In this paper, we propose a simple training variation where suitable weights ...
2204.04462
Wenshuai Hu
Heng-Chao Li, Wen-Shuai Hu, Wei Li, Jun Li, Qian Du, and Antonio Plaza
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification
16 pages, 10 figures
IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 747-761, Feb. 2022
10.1109/TNNLS.2020.3028945
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of effectively exploiting the information multiple data sources has become a relevant but challenging research topic in remote sensing. In this paper, we propose a new approach to exploit the complementarity of two data sources: hyperspectral images (HSIs) and light detection and ranging (LiDAR) data. Spe...
[ { "created": "Sat, 9 Apr 2022 12:43:32 GMT", "version": "v1" } ]
2022-04-12
[ [ "Li", "Heng-Chao", "" ], [ "Hu", "Wen-Shuai", "" ], [ "Li", "Wei", "" ], [ "Li", "Jun", "" ], [ "Du", "Qian", "" ], [ "Plaza", "Antonio", "" ] ]
The problem of effectively exploiting the information multiple data sources has become a relevant but challenging research topic in remote sensing. In this paper, we propose a new approach to exploit the complementarity of two data sources: hyperspectral images (HSIs) and light detection and ranging (LiDAR) data. Speci...
2305.03428
Alireza Ardalani
Alireza Ardalani, Saeed Parsa, Morteza Zakeri-Nasrabadi, Alexander Chatzigeorgiou
Supporting single responsibility through automated extract method refactoring
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
The responsibility of a method/function is to perform some desired computations and disseminate the results to its caller through various deliverables, including object fields and variables in output instructions. Based on this definition of responsibility, this paper offers a new algorithm to refactor long methods t...
[ { "created": "Fri, 5 May 2023 11:02:02 GMT", "version": "v1" }, { "created": "Sun, 26 Nov 2023 08:42:12 GMT", "version": "v2" } ]
2023-11-28
[ [ "Ardalani", "Alireza", "" ], [ "Parsa", "Saeed", "" ], [ "Zakeri-Nasrabadi", "Morteza", "" ], [ "Chatzigeorgiou", "Alexander", "" ] ]
The responsibility of a method/function is to perform some desired computations and disseminate the results to its caller through various deliverables, including object fields and variables in output instructions. Based on this definition of responsibility, this paper offers a new algorithm to refactor long methods to ...
2010.07245
Yu Meng
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Text Classification Using Label Names Only: A Language Model Self-Training Approach
EMNLP 2020. (Code: https://github.com/yumeng5/LOTClass)
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current text classification methods typically require a good number of human-labeled documents as training data, which can be costly and difficult to obtain in real applications. Humans can perform classification without seeing any labeled examples but only based on a small set of words describing the categories to b...
[ { "created": "Wed, 14 Oct 2020 17:06:41 GMT", "version": "v1" } ]
2020-10-15
[ [ "Meng", "Yu", "" ], [ "Zhang", "Yunyi", "" ], [ "Huang", "Jiaxin", "" ], [ "Xiong", "Chenyan", "" ], [ "Ji", "Heng", "" ], [ "Zhang", "Chao", "" ], [ "Han", "Jiawei", "" ] ]
Current text classification methods typically require a good number of human-labeled documents as training data, which can be costly and difficult to obtain in real applications. Humans can perform classification without seeing any labeled examples but only based on a small set of words describing the categories to be ...
2003.03808
Sachit Menon
Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon and Alexandru Damian contributed equally. Computer Vision and Pattern Recognition (CVPR) 2020
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The primary aim of single-image super-resolution is to construct high-resolution (HR) images from corresponding low-resolution (LR) inputs. In previous approaches, which have generally been supervised, the training objective typically measures a pixel-wise average distance between the super-resolved (SR) and HR image...
[ { "created": "Sun, 8 Mar 2020 16:44:31 GMT", "version": "v1" }, { "created": "Wed, 24 Jun 2020 21:05:02 GMT", "version": "v2" }, { "created": "Mon, 20 Jul 2020 21:38:32 GMT", "version": "v3" } ]
2020-07-22
[ [ "Menon", "Sachit", "" ], [ "Damian", "Alexandru", "" ], [ "Hu", "Shijia", "" ], [ "Ravi", "Nikhil", "" ], [ "Rudin", "Cynthia", "" ] ]
The primary aim of single-image super-resolution is to construct high-resolution (HR) images from corresponding low-resolution (LR) inputs. In previous approaches, which have generally been supervised, the training objective typically measures a pixel-wise average distance between the super-resolved (SR) and HR images....
cs/0007031
Victor Kromer
Victor Kromer
Parameter-free Model of Rank Polysemantic Distribution
3 pages, no figures
Proceedings of the 4th conference of the International Quantitative Linguistics Association (QUALICO 2000). Prague, August 24-26, 2000. P. 21-22.The full version (in Russian) is available in Web Journal FCCL. See URL http://fccl.ksu.ru/fcclpap.htm
null
null
cs.CL
null
A model of rank polysemantic distribution with a minimal number of fitting parameters is offered. In an ideal case a parameter-free description of the dependence on the basis of one or several immediate features of the distribution is possible.
[ { "created": "Fri, 21 Jul 2000 06:07:31 GMT", "version": "v1" }, { "created": "Mon, 24 Jul 2000 04:17:49 GMT", "version": "v2" } ]
2007-05-23
[ [ "Kromer", "Victor", "" ] ]
A model of rank polysemantic distribution with a minimal number of fitting parameters is offered. In an ideal case a parameter-free description of the dependence on the basis of one or several immediate features of the distribution is possible.
0910.4854
Serguei Mokhov
Serguei A. Mokhov and Yingying She
Yet Another Pacman 3D Adventures
31 pages, 8 figures. A 2006 report, corresponding to the open source project here: http://sourceforge.net/projects/yap3dad/
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This game is meant to be extension of the overly-beaten pacman-style game (code-named "Yet Another Pacman 3D Adventures", or YAP3DAD) from the proposed ideas and other projects with advance visual and computer graphics features, including a-game-in-a-game approach. The project is an open-source project published on S...
[ { "created": "Mon, 26 Oct 2009 10:55:16 GMT", "version": "v1" } ]
2009-10-27
[ [ "Mokhov", "Serguei A.", "" ], [ "She", "Yingying", "" ] ]
This game is meant to be extension of the overly-beaten pacman-style game (code-named "Yet Another Pacman 3D Adventures", or YAP3DAD) from the proposed ideas and other projects with advance visual and computer graphics features, including a-game-in-a-game approach. The project is an open-source project published on Sou...
2005.09240
Michael Bowman
Michael Bowman, Songpo Li, Xiaoli Zhang
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning
12 pages, 6 figures, journal paper
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In teleoperation, research has mainly focused on target approaching, where we deal with the more challenging object manipulation task by advancing the shared control technique. Appropriately manipulating an object is challenging due to the fine motion constraint requirements for a specific manipulation task. Although...
[ { "created": "Tue, 19 May 2020 06:40:08 GMT", "version": "v1" } ]
2020-05-20
[ [ "Bowman", "Michael", "" ], [ "Li", "Songpo", "" ], [ "Zhang", "Xiaoli", "" ] ]
In teleoperation, research has mainly focused on target approaching, where we deal with the more challenging object manipulation task by advancing the shared control technique. Appropriately manipulating an object is challenging due to the fine motion constraint requirements for a specific manipulation task. Although t...
2407.00541
Yen Low
Yen Sia Low (1), Michael L. Jackson (1), Rebecca J. Hyde (1), Robert E. Brown (1), Neil M. Sanghavi (1), Julian D. Baldwin (1), C. William Pike (1), Jananee Muralidharan (1), Gavin Hui (1 and 2), Natasha Alexander (3), Hadeel Hassan (3), Rahul V. Nene (4), Morgan Pike (5), Courtney J. Pokrzywa (6), Shivam Vedak...
Answering real-world clinical questions using large language model based systems
28 pages (2 figures, 3 tables) inclusive of 8 pages of supplemental materials (4 supplemental figures and 4 supplemental tables)
null
null
null
cs.CL cs.AI cs.IR
http://creativecommons.org/licenses/by/4.0/
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy literature as well as difficulty in contextualizing existing research for a specific patient. Large language models (LLMs) could potentially address both challenges by either summarizing published literature or generating ne...
[ { "created": "Sat, 29 Jun 2024 22:39:20 GMT", "version": "v1" } ]
2024-07-02
[ [ "Low", "Yen Sia", "", "1 and 2" ], [ "Jackson", "Michael L.", "", "1 and 2" ], [ "Hyde", "Rebecca J.", "", "1 and 2" ], [ "Brown", "Robert E.", "", "1 and 2" ], [ "Sanghavi", "Neil M.", "", "1 and 2" ], [ "Bald...
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy literature as well as difficulty in contextualizing existing research for a specific patient. Large language models (LLMs) could potentially address both challenges by either summarizing published literature or generating new ...
2305.13501
Marcella Cornia
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
ACM Multimedia 2023
null
null
null
cs.CV cs.AI cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the development of diffusion models have enabled generative networks to create remarkably realistic images. In this context, image-based virtual t...
[ { "created": "Mon, 22 May 2023 21:38:06 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2023 14:02:00 GMT", "version": "v2" }, { "created": "Thu, 3 Aug 2023 13:51:22 GMT", "version": "v3" } ]
2023-08-04
[ [ "Morelli", "Davide", "" ], [ "Baldrati", "Alberto", "" ], [ "Cartella", "Giuseppe", "" ], [ "Cornia", "Marcella", "" ], [ "Bertini", "Marco", "" ], [ "Cucchiara", "Rita", "" ] ]
The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the development of diffusion models have enabled generative networks to create remarkably realistic images. In this context, image-based virtual try...
2405.15771
Craig Innes
Craig Innes, Subramanian Ramamoorthy
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
null
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Autonomous Vehicles (AVs) are often tested in simulation to estimate the probability they will violate safety specifications. Two common issues arise when using existing techniques to produce this estimation: If violations occur rarely, simple Monte-Carlo sampling techniques can fail to produce efficient estimates; i...
[ { "created": "Wed, 13 Mar 2024 17:47:39 GMT", "version": "v1" }, { "created": "Wed, 24 Jul 2024 12:56:41 GMT", "version": "v2" } ]
2024-07-25
[ [ "Innes", "Craig", "" ], [ "Ramamoorthy", "Subramanian", "" ] ]
Autonomous Vehicles (AVs) are often tested in simulation to estimate the probability they will violate safety specifications. Two common issues arise when using existing techniques to produce this estimation: If violations occur rarely, simple Monte-Carlo sampling techniques can fail to produce efficient estimates; if ...
1003.1491
Rdv Ijcsis
Manish Kumar, M.C. Srivastava, Umesh Kumar
Current Conveyor Based Multifunction Filter
Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 7 No. 2, February 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis/
null
null
null
cs.OH
http://creativecommons.org/licenses/by-nc-sa/3.0/
The paper presents a current conveyor based multifunction filter. The proposed circuit can be realized as low pass, high pass, band pass and elliptical notch filter. The circuit employs two balanced output current conveyors, four resistors and two grounded capacitors, ideal for integration. It has only one output ter...
[ { "created": "Sun, 7 Mar 2010 16:57:41 GMT", "version": "v1" } ]
2010-03-09
[ [ "Kumar", "Manish", "" ], [ "Srivastava", "M. C.", "" ], [ "Kumar", "Umesh", "" ] ]
The paper presents a current conveyor based multifunction filter. The proposed circuit can be realized as low pass, high pass, band pass and elliptical notch filter. The circuit employs two balanced output current conveyors, four resistors and two grounded capacitors, ideal for integration. It has only one output termi...
2009.13626
Mohammad Arif Ul Alam
Nandan Kulkarni, Christopher Compton, Jooseppi Luna, Mohammad Arif Ul Alam
Monitoring My Dehydration: A Non-Invasive Dehydration Alert System Using Electrodermal Activity
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Staying hydrated and drinking fluids is extremely crucial to stay healthy and maintaining even basic bodily functions. Studies have shown that dehydration leads to loss of productivity, cognitive impairment and mood in both men and women. However, there are no such an existing tool that can monitor dehydration contin...
[ { "created": "Fri, 25 Sep 2020 16:55:25 GMT", "version": "v1" } ]
2020-09-30
[ [ "Kulkarni", "Nandan", "" ], [ "Compton", "Christopher", "" ], [ "Luna", "Jooseppi", "" ], [ "Alam", "Mohammad Arif Ul", "" ] ]
Staying hydrated and drinking fluids is extremely crucial to stay healthy and maintaining even basic bodily functions. Studies have shown that dehydration leads to loss of productivity, cognitive impairment and mood in both men and women. However, there are no such an existing tool that can monitor dehydration continuo...
2310.01471
Joan Espasa Arxer
Miquel Bofill, Cristina Borralleras, Joan Espasa, Gerard Mart\'in, Gustavo Patow, Mateu Villaret
A Good Snowman is Hard to Plan
arXiv admin note: text overlap with arXiv:2310.01378
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
In this work we face a challenging puzzle video game: A Good Snowman is Hard to Build. The objective of the game is to build snowmen by moving and stacking snowballs on a discrete grid. For the sake of player engagement with the game, it is interesting to avoid that a player finds a much easier solution than the one ...
[ { "created": "Mon, 2 Oct 2023 17:50:31 GMT", "version": "v1" } ]
2023-10-04
[ [ "Bofill", "Miquel", "" ], [ "Borralleras", "Cristina", "" ], [ "Espasa", "Joan", "" ], [ "Martín", "Gerard", "" ], [ "Patow", "Gustavo", "" ], [ "Villaret", "Mateu", "" ] ]
In this work we face a challenging puzzle video game: A Good Snowman is Hard to Build. The objective of the game is to build snowmen by moving and stacking snowballs on a discrete grid. For the sake of player engagement with the game, it is interesting to avoid that a player finds a much easier solution than the one th...
2407.21363
Xilei Zhu
Xilei Zhu, Liu Yang, Huiyu Duan, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet
ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images
8 pages, 8 figures
null
null
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of eXtended Reality (XR), head-mounted shooting and display technology have experienced significant advancement and gained considerable attention. Egocentric spatial images and videos are emerging as a compelling form of stereoscopic XR content. Different from traditional 2D images, egocentric sp...
[ { "created": "Wed, 31 Jul 2024 06:20:21 GMT", "version": "v1" } ]
2024-08-01
[ [ "Zhu", "Xilei", "" ], [ "Yang", "Liu", "" ], [ "Duan", "Huiyu", "" ], [ "Min", "Xiongkuo", "" ], [ "Zhai", "Guangtao", "" ], [ "Callet", "Patrick Le", "" ] ]
With the development of eXtended Reality (XR), head-mounted shooting and display technology have experienced significant advancement and gained considerable attention. Egocentric spatial images and videos are emerging as a compelling form of stereoscopic XR content. Different from traditional 2D images, egocentric spat...
1903.11314
Ruben Mayer
Ruben Mayer and Hans-Arno Jacobsen
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
accepted at ACM Computing Surveys, to appear
null
null
null
cs.DC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-art results in various domains such as image recognition and natural language processing. One of the reasons for this success is the increasing size of DL models and the proliferation of vast amounts of training data being avail...
[ { "created": "Wed, 27 Mar 2019 09:46:52 GMT", "version": "v1" }, { "created": "Wed, 25 Sep 2019 08:51:24 GMT", "version": "v2" } ]
2019-09-26
[ [ "Mayer", "Ruben", "" ], [ "Jacobsen", "Hans-Arno", "" ] ]
Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-art results in various domains such as image recognition and natural language processing. One of the reasons for this success is the increasing size of DL models and the proliferation of vast amounts of training data being availab...
2303.06620
J. Garza
J. Garza, Steven Swanson
PCB-ready breakout boards: Bridging the gap between electronics prototyping and production
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Electronics prototyping using breakout boards allows designers with and without an engineering background to rapidly create interactive prototypes. However, when it comes to transition to a production-ready PCB design, stagnation exists due to the high skill floor required for PCB design. While PCB design automation ...
[ { "created": "Sun, 12 Mar 2023 09:27:23 GMT", "version": "v1" }, { "created": "Mon, 20 Mar 2023 07:35:31 GMT", "version": "v2" } ]
2023-03-21
[ [ "Garza", "J.", "" ], [ "Swanson", "Steven", "" ] ]
Electronics prototyping using breakout boards allows designers with and without an engineering background to rapidly create interactive prototypes. However, when it comes to transition to a production-ready PCB design, stagnation exists due to the high skill floor required for PCB design. While PCB design automation ha...
1011.1956
Jaydip Sen
Jaydip Sen
Mobility and Handoff Management in Wireless Networks
28 pages, 11 figures
Book Title: Trends in Telecommunications Technologies. Editor: Christos J Bouras. ISBN: 978-953-307-072-8. Year: 2010. Publisher: InTech
10.5772/8482
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increasing demands for new data and real-time services, wireless networks should support calls with different traffic characteristics and different Quality of Service (QoS)guarantees. In addition, various wireless technologies and networks exist currently that can satisfy different needs and requirements of ...
[ { "created": "Tue, 9 Nov 2010 02:02:32 GMT", "version": "v1" } ]
2021-09-07
[ [ "Sen", "Jaydip", "" ] ]
With the increasing demands for new data and real-time services, wireless networks should support calls with different traffic characteristics and different Quality of Service (QoS)guarantees. In addition, various wireless technologies and networks exist currently that can satisfy different needs and requirements of mo...
2005.11280
Alexis Reymbaut
A. Reymbaut
Matrix moments of the diffusion tensor distribution
17 pages, 6 figures
null
null
null
cs.CE physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Purpose: To facilitate the implementation/validation of signal representations and models using parametric matrix-variate distributions to approximate the diffusion tensor distribution (DTD) $\mathcal{P}(\mathbf{D})$. Theory: We establish practical mathematical tools, the matrix moments of the DTD, enabling to comput...
[ { "created": "Thu, 21 May 2020 00:33:00 GMT", "version": "v1" } ]
2020-05-25
[ [ "Reymbaut", "A.", "" ] ]
Purpose: To facilitate the implementation/validation of signal representations and models using parametric matrix-variate distributions to approximate the diffusion tensor distribution (DTD) $\mathcal{P}(\mathbf{D})$. Theory: We establish practical mathematical tools, the matrix moments of the DTD, enabling to compute ...
2210.04246
Haojie Zhang
Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
Better Pre-Training by Reducing Representation Confusion
EACL 2023(Findings)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we revisit the Transformer-based pre-trained language models and identify two different types of information confusion in position encoding and model representations, respectively. Firstly, we show that in the relative position encoding, the joint modeling about relative distances and directions brings ...
[ { "created": "Sun, 9 Oct 2022 12:35:04 GMT", "version": "v1" }, { "created": "Thu, 9 Feb 2023 13:02:23 GMT", "version": "v2" } ]
2023-02-10
[ [ "Zhang", "Haojie", "" ], [ "Liang", "Mingfei", "" ], [ "Xie", "Ruobing", "" ], [ "Sun", "Zhenlong", "" ], [ "Zhang", "Bo", "" ], [ "Lin", "Leyu", "" ] ]
In this work, we revisit the Transformer-based pre-trained language models and identify two different types of information confusion in position encoding and model representations, respectively. Firstly, we show that in the relative position encoding, the joint modeling about relative distances and directions brings co...
2102.09857
Muhammad Islam
Muhammad Islam (1), Mubashir Husain Rehmani (2) and Jinjun Chen (3) ((1)(3) Swinburne University of Technology, Hawthorn, Australia, (2) Munster Technological University, Cork, Ireland)
Differential Privacy-based Permissioned Blockchain for Private Data Sharing in Industrial IoT
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Permissioned blockchain such as Hyperledger fabric enables a secure supply chain model in Industrial Internet of Things (IIoT) through multichannel and private data collection mechanisms. Sharing of Industrial data including private data exchange at every stage between supply chain partners helps to improve product q...
[ { "created": "Fri, 19 Feb 2021 10:53:49 GMT", "version": "v1" }, { "created": "Tue, 30 Mar 2021 14:48:48 GMT", "version": "v2" } ]
2021-03-31
[ [ "Islam", "Muhammad", "" ], [ "Rehmani", "Mubashir Husain", "" ], [ "Chen", "Jinjun", "" ] ]
Permissioned blockchain such as Hyperledger fabric enables a secure supply chain model in Industrial Internet of Things (IIoT) through multichannel and private data collection mechanisms. Sharing of Industrial data including private data exchange at every stage between supply chain partners helps to improve product qua...
2308.02530
Jianwu Fang
Tianci Zhao, Xue Bai, Jianwu Fang, and Jianru Xue
Gated Driver Attention Predictor
Accepted by ITSC2023
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driver attention prediction implies the intention understanding of where the driver intends to go and what object the driver concerned about, which commonly provides a driving task-guided traffic scene understanding. Some recent works explore driver attention prediction in critical or accident scenarios and find a po...
[ { "created": "Tue, 1 Aug 2023 03:59:52 GMT", "version": "v1" } ]
2023-08-08
[ [ "Zhao", "Tianci", "" ], [ "Bai", "Xue", "" ], [ "Fang", "Jianwu", "" ], [ "Xue", "Jianru", "" ] ]
Driver attention prediction implies the intention understanding of where the driver intends to go and what object the driver concerned about, which commonly provides a driving task-guided traffic scene understanding. Some recent works explore driver attention prediction in critical or accident scenarios and find a posi...
2307.07350
Karl Fehrs
Ioannis Caragiannis, Karl Fehrs
Beyond the worst case: Distortion in impartial culture electorates
34 pages, 2 figures
null
null
null
cs.GT cs.DS
http://creativecommons.org/licenses/by/4.0/
{\em Distortion} is a well-established notion for quantifying the loss of social welfare that may occur in voting. As voting rules take as input only ordinal information, they are essentially forced to neglect the exact values the agents have for the alternatives. Thus, in worst-case electorates, voting rules may ret...
[ { "created": "Fri, 14 Jul 2023 14:00:32 GMT", "version": "v1" }, { "created": "Mon, 21 Aug 2023 16:17:22 GMT", "version": "v2" }, { "created": "Tue, 13 Feb 2024 17:04:21 GMT", "version": "v3" } ]
2024-02-14
[ [ "Caragiannis", "Ioannis", "" ], [ "Fehrs", "Karl", "" ] ]
{\em Distortion} is a well-established notion for quantifying the loss of social welfare that may occur in voting. As voting rules take as input only ordinal information, they are essentially forced to neglect the exact values the agents have for the alternatives. Thus, in worst-case electorates, voting rules may retur...
0910.1406
EPTCS
Luca Bortolussi (University of Trieste), Alberto Policriti (University of Udine)
Hybrid Semantics of Stochastic Programs with Dynamic Reconfiguration
null
EPTCS 6, 2009, pp. 63-76
10.4204/EPTCS.6.5
null
cs.PL cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We begin by reviewing a technique to approximate the dynamics of stochastic programs --written in a stochastic process algebra-- by a hybrid system, suitable to capture a mixed discrete/continuous evolution. In a nutshell, the discrete dynamics is kept stochastic while the continuous evolution is given in terms of OD...
[ { "created": "Thu, 8 Oct 2009 06:33:01 GMT", "version": "v1" } ]
2009-10-09
[ [ "Bortolussi", "Luca", "", "University of Trieste" ], [ "Policriti", "Alberto", "", "University\n of Udine" ] ]
We begin by reviewing a technique to approximate the dynamics of stochastic programs --written in a stochastic process algebra-- by a hybrid system, suitable to capture a mixed discrete/continuous evolution. In a nutshell, the discrete dynamics is kept stochastic while the continuous evolution is given in terms of ODEs...
1802.04789
Keren Censor-Hillel
Keren Censor-Hillel, Dean Leitersdorf, Elia Turner
Sparse Matrix Multiplication and Triangle Listing in the Congested Clique Model
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We multiply two $n \times n$ matrices $S,T$ over semirings in the Congested Clique model, where $n$ fully connected nodes communicate synchronously using $O(\log n)$-bit messages, within $O(nz(S)^{1/3} nz(T)^{1/3}/n + 1)$ rounds of communication, where $nz(A)$ denotes the number of non-zero elements in a matrix $A$. ...
[ { "created": "Tue, 13 Feb 2018 18:47:15 GMT", "version": "v1" }, { "created": "Wed, 14 Feb 2018 06:02:53 GMT", "version": "v2" }, { "created": "Thu, 10 May 2018 17:35:36 GMT", "version": "v3" }, { "created": "Wed, 20 Mar 2019 19:05:40 GMT", "version": "v4" } ]
2019-03-22
[ [ "Censor-Hillel", "Keren", "" ], [ "Leitersdorf", "Dean", "" ], [ "Turner", "Elia", "" ] ]
We multiply two $n \times n$ matrices $S,T$ over semirings in the Congested Clique model, where $n$ fully connected nodes communicate synchronously using $O(\log n)$-bit messages, within $O(nz(S)^{1/3} nz(T)^{1/3}/n + 1)$ rounds of communication, where $nz(A)$ denotes the number of non-zero elements in a matrix $A$. By...
cs/0606026
Ludo M.G.M. Tolhuizen
Henk D.L. Hollmann and Ludo M.G.M. Tolhuizen
Generating parity check equations for bounded-distance iterative erasure decoding
Accepted for publication in Proc Int Symposium on Information Theory 2006, ISIT 06
null
null
null
cs.IT math.IT
null
A generic $(r,m)$-erasure correcting set is a collection of vectors in $\bF_2^r$ which can be used to generate, for each binary linear code of codimension $r$, a collection of parity check equations that enables iterative decoding of all correctable erasure patterns of size at most $m$. That is to say, the only sto...
[ { "created": "Tue, 6 Jun 2006 18:03:27 GMT", "version": "v1" } ]
2007-07-13
[ [ "Hollmann", "Henk D. L.", "" ], [ "Tolhuizen", "Ludo M. G. M.", "" ] ]
A generic $(r,m)$-erasure correcting set is a collection of vectors in $\bF_2^r$ which can be used to generate, for each binary linear code of codimension $r$, a collection of parity check equations that enables iterative decoding of all correctable erasure patterns of size at most $m$. That is to say, the only stoppin...
2011.05740
Araceli Morales
Araceli Morales, Gemma Piella and Federico M. Sukno
Survey on 3D face reconstruction from uncalibrated images
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recently, a lot of attention has been focused on the incorporation of 3D data into face analysis and its applications. Despite providing a more accurate representation of the face, 3D facial images are more complex to acquire than 2D pictures. As a consequence, great effort has been invested in developing systems tha...
[ { "created": "Wed, 11 Nov 2020 12:48:11 GMT", "version": "v1" }, { "created": "Fri, 26 Feb 2021 08:32:32 GMT", "version": "v2" } ]
2021-03-01
[ [ "Morales", "Araceli", "" ], [ "Piella", "Gemma", "" ], [ "Sukno", "Federico M.", "" ] ]
Recently, a lot of attention has been focused on the incorporation of 3D data into face analysis and its applications. Despite providing a more accurate representation of the face, 3D facial images are more complex to acquire than 2D pictures. As a consequence, great effort has been invested in developing systems that ...
1003.1550
Debasis Mishra
Debasis Mishra and Arunava Sen
Roberts' Theorem with Neutrality: A Social Welfare Ordering Approach
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider dominant strategy implementation in private values settings, when agents have multi-dimensional types, the set of alternatives is finite, monetary transfers are allowed, and agents have quasi-linear utilities. We show that any implementable and neutral social choice function must be a weighted welfare max...
[ { "created": "Mon, 8 Mar 2010 04:39:45 GMT", "version": "v1" } ]
2010-03-09
[ [ "Mishra", "Debasis", "" ], [ "Sen", "Arunava", "" ] ]
We consider dominant strategy implementation in private values settings, when agents have multi-dimensional types, the set of alternatives is finite, monetary transfers are allowed, and agents have quasi-linear utilities. We show that any implementable and neutral social choice function must be a weighted welfare maxim...
2110.06923
Yue Wang
Yue Wang and Justin Solomon
Object DGCNN: 3D Object Detection using Dynamic Graphs
Accepted to NeurIPS 2021
null
null
null
cs.CV cs.AI cs.LG cs.RO
http://creativecommons.org/licenses/by/4.0/
3D object detection often involves complicated training and testing pipelines, which require substantial domain knowledge about individual datasets. Inspired by recent non-maximum suppression-free 2D object detection models, we propose a 3D object detection architecture on point clouds. Our method models 3D object de...
[ { "created": "Wed, 13 Oct 2021 17:59:38 GMT", "version": "v1" } ]
2021-10-14
[ [ "Wang", "Yue", "" ], [ "Solomon", "Justin", "" ] ]
3D object detection often involves complicated training and testing pipelines, which require substantial domain knowledge about individual datasets. Inspired by recent non-maximum suppression-free 2D object detection models, we propose a 3D object detection architecture on point clouds. Our method models 3D object dete...
1704.08818
Yong Xia
Benteng Ma, Yong Xia
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification
null
null
10.1016/j.asoc.2017.04.042
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Feature selection has always been a critical step in pattern recognition, in which evolutionary algorithms, such as the genetic algorithm (GA), are most commonly used. However, the individual encoding scheme used in various GAs would either pose a bias on the solution or require a pre-specified number of features, an...
[ { "created": "Fri, 28 Apr 2017 06:25:50 GMT", "version": "v1" } ]
2017-05-01
[ [ "Ma", "Benteng", "" ], [ "Xia", "Yong", "" ] ]
Feature selection has always been a critical step in pattern recognition, in which evolutionary algorithms, such as the genetic algorithm (GA), are most commonly used. However, the individual encoding scheme used in various GAs would either pose a bias on the solution or require a pre-specified number of features, and ...
1706.01172
Wei Wu
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Min-Hash is a popular technique for efficiently estimating the Jaccard similarity of binary sets. Consistent Weighted Sampling (CWS) generalizes the Min-Hash scheme to sketch weighted sets and has drawn increasing interest from the community. Due to its constant-time complexity independent of the values of the weight...
[ { "created": "Mon, 5 Jun 2017 01:17:13 GMT", "version": "v1" } ]
2017-06-06
[ [ "Wu", "Wei", "" ], [ "Li", "Bin", "" ], [ "Chen", "Ling", "" ], [ "Zhang", "Chengqi", "" ], [ "Yu", "Philip S.", "" ] ]
Min-Hash is a popular technique for efficiently estimating the Jaccard similarity of binary sets. Consistent Weighted Sampling (CWS) generalizes the Min-Hash scheme to sketch weighted sets and has drawn increasing interest from the community. Due to its constant-time complexity independent of the values of the weights,...
2406.13170
Zeping Li
Zeping Li, Xinlong Yang, Ziheng Gao, Ji Liu, Zhuang Liu, Dong Li, Jinzhang Peng, Lu Tian, Emad Barsoum
Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style
null
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) inherently use autoregressive decoding, which lacks parallelism in inference and results in significantly slow inference speeds, especially when hardware parallel accelerators and memory bandwidth are not fully utilized. In this work, we propose Amphista, a speculative decoding algorithm ...
[ { "created": "Wed, 19 Jun 2024 02:53:39 GMT", "version": "v1" } ]
2024-06-21
[ [ "Li", "Zeping", "" ], [ "Yang", "Xinlong", "" ], [ "Gao", "Ziheng", "" ], [ "Liu", "Ji", "" ], [ "Liu", "Zhuang", "" ], [ "Li", "Dong", "" ], [ "Peng", "Jinzhang", "" ], [ "Tian", "Lu", "" ...
Large Language Models (LLMs) inherently use autoregressive decoding, which lacks parallelism in inference and results in significantly slow inference speeds, especially when hardware parallel accelerators and memory bandwidth are not fully utilized. In this work, we propose Amphista, a speculative decoding algorithm th...
1407.8476
Sabyasachi Mukhopadhyay
Sabyasachi Mukhopadhyay, Debadatta Dash, Asish Mitra, Paritosh Bhattacharya
A comparative study between seasonal wind speed by Fourier and Wavelet analysis
null
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wind Energy is a useful resource for Renewable energy purpose. Wind speed plays a vital role for wind energy calculation of certain location. So, it is very much necessary to know the wind speed data characteristics. In this paper fourier and wavelet transform are applied to study the wind speed data. We have compare...
[ { "created": "Thu, 31 Jul 2014 16:17:39 GMT", "version": "v1" }, { "created": "Wed, 6 Aug 2014 12:48:43 GMT", "version": "v2" } ]
2014-08-07
[ [ "Mukhopadhyay", "Sabyasachi", "" ], [ "Dash", "Debadatta", "" ], [ "Mitra", "Asish", "" ], [ "Bhattacharya", "Paritosh", "" ] ]
Wind Energy is a useful resource for Renewable energy purpose. Wind speed plays a vital role for wind energy calculation of certain location. So, it is very much necessary to know the wind speed data characteristics. In this paper fourier and wavelet transform are applied to study the wind speed data. We have compared ...
2202.04112
Yue Song
Yue Song, Hao Tang, Nicu Sebe, Wei Wang
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling
Accepted by TOMM; the first two authors contribute equally to this work
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Salient object detection has been long studied to identify the most visually attractive objects in images/videos. Recently, a growing amount of approaches have been proposed all of which rely on the contour/edge information to improve detection performance. The edge labels are either put into the loss directly or use...
[ { "created": "Tue, 8 Feb 2022 19:33:02 GMT", "version": "v1" } ]
2022-02-10
[ [ "Song", "Yue", "" ], [ "Tang", "Hao", "" ], [ "Sebe", "Nicu", "" ], [ "Wang", "Wei", "" ] ]
Salient object detection has been long studied to identify the most visually attractive objects in images/videos. Recently, a growing amount of approaches have been proposed all of which rely on the contour/edge information to improve detection performance. The edge labels are either put into the loss directly or used ...
2205.06030
Manuel Kauers
Hui Huang, Manuel Kauers, Gargi Mukherjee
Order-Degree-Height Surfaces for Linear Operators
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is known for linear operators with polynomial coefficients annihilating a given D-finite function that there is a trade-off between order and degree. Raising the order may give room for lowering the degree. The relationship between order and degree is typically described by a hyperbola known as the order-degree cu...
[ { "created": "Thu, 12 May 2022 11:28:07 GMT", "version": "v1" } ]
2022-05-13
[ [ "Huang", "Hui", "" ], [ "Kauers", "Manuel", "" ], [ "Mukherjee", "Gargi", "" ] ]
It is known for linear operators with polynomial coefficients annihilating a given D-finite function that there is a trade-off between order and degree. Raising the order may give room for lowering the degree. The relationship between order and degree is typically described by a hyperbola known as the order-degree curv...
1711.08080
Christian Kroer
Christian Kroer, Gabriele Farina, Tuomas Sandholm
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead
Published at AAAI18
null
null
null
cs.GT cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stackelberg equilibria have become increasingly important as a solution concept in computational game theory, largely inspired by practical problems such as security settings. In practice, however, there is typically uncertainty regarding the model about the opponent. This paper is, to our knowledge, the first to inv...
[ { "created": "Tue, 21 Nov 2017 23:13:15 GMT", "version": "v1" } ]
2017-11-23
[ [ "Kroer", "Christian", "" ], [ "Farina", "Gabriele", "" ], [ "Sandholm", "Tuomas", "" ] ]
Stackelberg equilibria have become increasingly important as a solution concept in computational game theory, largely inspired by practical problems such as security settings. In practice, however, there is typically uncertainty regarding the model about the opponent. This paper is, to our knowledge, the first to inves...
2312.01985
Lu Qi
Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang
UniGS: Unified Representation for Image Generation and Segmentation
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper introduces a novel unified representation of diffusion models for image generation and segmentation. Specifically, we use a colormap to represent entity-level masks, addressing the challenge of varying entity numbers while aligning the representation closely with the image RGB domain. Two novel modules, in...
[ { "created": "Mon, 4 Dec 2023 15:59:27 GMT", "version": "v1" } ]
2023-12-05
[ [ "Qi", "Lu", "" ], [ "Yang", "Lehan", "" ], [ "Guo", "Weidong", "" ], [ "Xu", "Yu", "" ], [ "Du", "Bo", "" ], [ "Jampani", "Varun", "" ], [ "Yang", "Ming-Hsuan", "" ] ]
This paper introduces a novel unified representation of diffusion models for image generation and segmentation. Specifically, we use a colormap to represent entity-level masks, addressing the challenge of varying entity numbers while aligning the representation closely with the image RGB domain. Two novel modules, incl...
0705.1345
Vishwambhar Rathi
Kapil Bhattad, Vishwambhar Rathi, Ruediger Urbanke
Degree Optimization and Stability Condition for the Min-Sum Decoder
submitted to ITW 07
null
null
null
cs.IT math.IT
null
The min-sum (MS) algorithm is arguably the second most fundamental algorithm in the realm of message passing due to its optimality (for a tree code) with respect to the {\em block error} probability \cite{Wiberg}. There also seems to be a fundamental relationship of MS decoding with the linear programming decoder \ci...
[ { "created": "Wed, 9 May 2007 19:19:26 GMT", "version": "v1" } ]
2007-07-13
[ [ "Bhattad", "Kapil", "" ], [ "Rathi", "Vishwambhar", "" ], [ "Urbanke", "Ruediger", "" ] ]
The min-sum (MS) algorithm is arguably the second most fundamental algorithm in the realm of message passing due to its optimality (for a tree code) with respect to the {\em block error} probability \cite{Wiberg}. There also seems to be a fundamental relationship of MS decoding with the linear programming decoder \cite...
1606.02006
Philip Arthur
Philip Arthur, Graham Neubig, Satoshi Nakamura
Incorporating Discrete Translation Lexicons into Neural Machine Translation
Accepted at EMNLP 2016
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation (NMT) often makes mistakes in translating low-frequency content words that are essential to understanding the meaning of the sentence. We propose a method to alleviate this problem by augmenting NMT systems with discrete translation lexicons that efficiently encode translations of these low...
[ { "created": "Tue, 7 Jun 2016 02:40:42 GMT", "version": "v1" }, { "created": "Wed, 5 Oct 2016 02:46:39 GMT", "version": "v2" } ]
2016-10-06
[ [ "Arthur", "Philip", "" ], [ "Neubig", "Graham", "" ], [ "Nakamura", "Satoshi", "" ] ]
Neural machine translation (NMT) often makes mistakes in translating low-frequency content words that are essential to understanding the meaning of the sentence. We propose a method to alleviate this problem by augmenting NMT systems with discrete translation lexicons that efficiently encode translations of these low-f...
2301.00484
Mohsen Amini Salehi
Razin Farhan Hussain and Mohsen Amini Salehi
Federated Fog Computing for Remote Industry 4.0 Applications
PhD Dissertation
null
null
null
cs.DC cs.SY eess.SY
http://creativecommons.org/publicdomain/zero/1.0/
Industry 4.0 operates based on IoT devices, sensors, and actuators, transforming the use of computing resources and software solutions in diverse sectors. Various Industry 4.0 latency-sensitive applications function based on machine learning to process sensor data for automation and other industrial activities. Sendi...
[ { "created": "Sun, 1 Jan 2023 22:32:16 GMT", "version": "v1" } ]
2023-01-03
[ [ "Hussain", "Razin Farhan", "" ], [ "Salehi", "Mohsen Amini", "" ] ]
Industry 4.0 operates based on IoT devices, sensors, and actuators, transforming the use of computing resources and software solutions in diverse sectors. Various Industry 4.0 latency-sensitive applications function based on machine learning to process sensor data for automation and other industrial activities. Sending...
2102.01260
Xiong Liu
Xiong Liu, Craig E. Thomas, Christian C. Felder
The impact of external innovation on new drug approvals: A retrospective analysis
null
International Journal of Pharmaceutics, Volume 563, Pages 273-281, 2019
10.1016/j.ijpharm.2018.12.093
PMID: 30664998
cs.CL cs.CY q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pharmaceutical companies are relying more often on external sources of innovation to boost their discovery research productivity. However, more in-depth knowledge about how external innovation may translate to successful product launches is still required in order to better understand how to best leverage the innovat...
[ { "created": "Tue, 2 Feb 2021 02:21:34 GMT", "version": "v1" } ]
2021-02-03
[ [ "Liu", "Xiong", "" ], [ "Thomas", "Craig E.", "" ], [ "Felder", "Christian C.", "" ] ]
Pharmaceutical companies are relying more often on external sources of innovation to boost their discovery research productivity. However, more in-depth knowledge about how external innovation may translate to successful product launches is still required in order to better understand how to best leverage the innovatio...
2011.02466
Zhao Song
Josh Alman, Timothy Chu, Aaron Schild, Zhao Song
Algorithms and Hardness for Linear Algebra on Geometric Graphs
FOCS 2020
null
null
null
cs.DS cs.CC cs.LG stat.ML
http://creativecommons.org/licenses/by-sa/4.0/
For a function $\mathsf{K} : \mathbb{R}^{d} \times \mathbb{R}^{d} \to \mathbb{R}_{\geq 0}$, and a set $P = \{ x_1, \ldots, x_n\} \subset \mathbb{R}^d$ of $n$ points, the $\mathsf{K}$ graph $G_P$ of $P$ is the complete graph on $n$ nodes where the weight between nodes $i$ and $j$ is given by $\mathsf{K}(x_i, x_j)$. In...
[ { "created": "Wed, 4 Nov 2020 18:35:02 GMT", "version": "v1" } ]
2020-11-05
[ [ "Alman", "Josh", "" ], [ "Chu", "Timothy", "" ], [ "Schild", "Aaron", "" ], [ "Song", "Zhao", "" ] ]
For a function $\mathsf{K} : \mathbb{R}^{d} \times \mathbb{R}^{d} \to \mathbb{R}_{\geq 0}$, and a set $P = \{ x_1, \ldots, x_n\} \subset \mathbb{R}^d$ of $n$ points, the $\mathsf{K}$ graph $G_P$ of $P$ is the complete graph on $n$ nodes where the weight between nodes $i$ and $j$ is given by $\mathsf{K}(x_i, x_j)$. In t...
2406.15482
Juan Alamiro Berrios Moya
Juan A. Berrios Moya
Blockchain for Academic Integrity: Developing the Blockchain Academic Credential Interoperability Protocol (BACIP)
null
null
null
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This research introduces the Blockchain Academic Credential Interoperability Protocol (BACIP), designed to significantly enhance the security, privacy, and interoperability of verifying academic credentials globally, addressing the widespread issue of academic fraud. BACIP integrates dual blockchain architecture, sma...
[ { "created": "Mon, 17 Jun 2024 06:11:51 GMT", "version": "v1" } ]
2024-06-25
[ [ "Moya", "Juan A. Berrios", "" ] ]
This research introduces the Blockchain Academic Credential Interoperability Protocol (BACIP), designed to significantly enhance the security, privacy, and interoperability of verifying academic credentials globally, addressing the widespread issue of academic fraud. BACIP integrates dual blockchain architecture, smart...
1812.01947
Renaud-Alexandre Pitaval
Renaud-Alexandre Pitaval
Channel Shortening by Large Multiantenna Precoding in OFDM
null
IEEE Transactions on Communications, 2021
10.1109/TCOMM.2021.3056117
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A channel delay spread larger than the cyclic prefix (CP) creates inter-carrier/symbol interference (ISI/ICI) in orthogonal frequency-division multiplexing (OFDM). Recent interests in low-latency applications have motivated the usage of shorter OFDM symbols where one can either downscale the CP at the cost of interfe...
[ { "created": "Wed, 5 Dec 2018 12:11:37 GMT", "version": "v1" }, { "created": "Thu, 23 May 2019 14:33:52 GMT", "version": "v2" }, { "created": "Wed, 22 Apr 2020 09:17:15 GMT", "version": "v3" }, { "created": "Thu, 11 Feb 2021 10:30:52 GMT", "version": "v4" } ]
2021-02-12
[ [ "Pitaval", "Renaud-Alexandre", "" ] ]
A channel delay spread larger than the cyclic prefix (CP) creates inter-carrier/symbol interference (ISI/ICI) in orthogonal frequency-division multiplexing (OFDM). Recent interests in low-latency applications have motivated the usage of shorter OFDM symbols where one can either downscale the CP at the cost of interfere...
1510.04420
Paramjot Kaur Sarao
Paramjot Kaur Sarao, Puneet Mittal, Rupinder Kaur
Narrative Science Systems: A Review
null
International Journal of Research in Computer Science, 5(1), 2015, pp 9-14
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic narration of events and entities is the need of the hour, especially when live reporting is critical and volume of information to be narrated is huge. This paper discusses the challenges in this context, along with the algorithms used to build such systems. From a systematic study, we can infer that most of...
[ { "created": "Thu, 15 Oct 2015 07:06:39 GMT", "version": "v1" } ]
2015-10-16
[ [ "Sarao", "Paramjot Kaur", "" ], [ "Mittal", "Puneet", "" ], [ "Kaur", "Rupinder", "" ] ]
Automatic narration of events and entities is the need of the hour, especially when live reporting is critical and volume of information to be narrated is huge. This paper discusses the challenges in this context, along with the algorithms used to build such systems. From a systematic study, we can infer that most of t...
2101.06030
Yunlong Wang
Samuel Rhys Cox, Yunlong Wang, Ashraf Abdul, Christian von der Weth, Brian Y. Lim
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation
CHI 2021
null
10.1145/3411764.3445782
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Crowdsourcing can collect many diverse ideas by prompting ideators individually, but this can generate redundant ideas. Prior methods reduce redundancy by presenting peers' ideas or peer-proposed prompts, but these require much human coordination. We introduce Directed Diversity, an automatic prompt selection approac...
[ { "created": "Fri, 15 Jan 2021 09:36:05 GMT", "version": "v1" } ]
2021-01-18
[ [ "Cox", "Samuel Rhys", "" ], [ "Wang", "Yunlong", "" ], [ "Abdul", "Ashraf", "" ], [ "von der Weth", "Christian", "" ], [ "Lim", "Brian Y.", "" ] ]
Crowdsourcing can collect many diverse ideas by prompting ideators individually, but this can generate redundant ideas. Prior methods reduce redundancy by presenting peers' ideas or peer-proposed prompts, but these require much human coordination. We introduce Directed Diversity, an automatic prompt selection approach ...
2108.02555
Valery Ilin
Valery Ilin, Ivan Kalinov, Pavel Karpyshev, Dzmitry Tsetserukou
DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
Accepted to 26th International Conference on Emerging Technologies and Factory Automation (ETFA) 2021, IEEE copyright, 8 pages, 10 figures
null
null
null
cs.RO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the proposed study, we describe the possibility of automated dataset collection using an articulated robot. The proposed technology reduces the number of pixel errors on a polygonal dataset and the time spent on manual labeling of 2D objects. The paper describes a novel automatic dataset collection and annotation ...
[ { "created": "Thu, 5 Aug 2021 12:21:18 GMT", "version": "v1" } ]
2021-08-06
[ [ "Ilin", "Valery", "" ], [ "Kalinov", "Ivan", "" ], [ "Karpyshev", "Pavel", "" ], [ "Tsetserukou", "Dzmitry", "" ] ]
In the proposed study, we describe the possibility of automated dataset collection using an articulated robot. The proposed technology reduces the number of pixel errors on a polygonal dataset and the time spent on manual labeling of 2D objects. The paper describes a novel automatic dataset collection and annotation sy...
1801.01803
Igor Kadota
Igor Kadota, Abhishek Sinha, Elif Uysal-Biyikoglu, Rahul Singh and Eytan Modiano
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks
null
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a wireless broadcast network with a base station sending time-sensitive information to a number of clients through unreliable channels. The Age of Information (AoI), namely the amount of time that elapsed since the most recently delivered packet was generated, captures the freshness of the information. We...
[ { "created": "Fri, 5 Jan 2018 15:53:28 GMT", "version": "v1" } ]
2018-01-08
[ [ "Kadota", "Igor", "" ], [ "Sinha", "Abhishek", "" ], [ "Uysal-Biyikoglu", "Elif", "" ], [ "Singh", "Rahul", "" ], [ "Modiano", "Eytan", "" ] ]
We consider a wireless broadcast network with a base station sending time-sensitive information to a number of clients through unreliable channels. The Age of Information (AoI), namely the amount of time that elapsed since the most recently delivered packet was generated, captures the freshness of the information. We f...
2109.07100
Dong Zhao
Dong Zhao, Jia Li, Hongyu Li, and Long Xu
Complementary Feature Enhanced Network with Vision Transformer for Image Dehazing
12 pages,10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional CNNs-based dehazing models suffer from two essential issues: the dehazing framework (limited in interpretability) and the convolution layers (content-independent and ineffective to learn long-range dependency information). In this paper, firstly, we propose a new complementary feature enhanced framework,...
[ { "created": "Wed, 15 Sep 2021 06:13:22 GMT", "version": "v1" }, { "created": "Sat, 18 Sep 2021 04:37:52 GMT", "version": "v2" }, { "created": "Wed, 5 Jan 2022 03:05:45 GMT", "version": "v3" } ]
2022-01-06
[ [ "Zhao", "Dong", "" ], [ "Li", "Jia", "" ], [ "Li", "Hongyu", "" ], [ "Xu", "Long", "" ] ]
Conventional CNNs-based dehazing models suffer from two essential issues: the dehazing framework (limited in interpretability) and the convolution layers (content-independent and ineffective to learn long-range dependency information). In this paper, firstly, we propose a new complementary feature enhanced framework, i...
2102.13453
Jeyamohan Neera
Jeyamohan Neera, Xiaomin Chen, Nauman Aslam, Kezhi Wang and Zhan Shu
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
12 pages
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recommendation systems rely heavily on users behavioural and preferential data (e.g. ratings, likes) to produce accurate recommendations. However, users experience privacy concerns due to unethical data aggregation and analytical practices carried out by the Service Providers (SP). Local differential privacy (LDP) ba...
[ { "created": "Fri, 26 Feb 2021 13:15:23 GMT", "version": "v1" }, { "created": "Sat, 6 Mar 2021 09:42:30 GMT", "version": "v2" } ]
2021-03-09
[ [ "Neera", "Jeyamohan", "" ], [ "Chen", "Xiaomin", "" ], [ "Aslam", "Nauman", "" ], [ "Wang", "Kezhi", "" ], [ "Shu", "Zhan", "" ] ]
Recommendation systems rely heavily on users behavioural and preferential data (e.g. ratings, likes) to produce accurate recommendations. However, users experience privacy concerns due to unethical data aggregation and analytical practices carried out by the Service Providers (SP). Local differential privacy (LDP) base...
2306.10050
Qinyi Chen
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
Interpolating Item and User Fairness in Multi-Sided Recommendations
null
null
null
null
cs.IR cs.CY cs.GT cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today's online platforms heavily lean on algorithmic recommendations for bolstering user engagement and driving revenue. However, these recommendations can impact multiple stakeholders simultaneously -- the platform, items (sellers), and users (customers) -- each with their unique objectives, making it difficult to f...
[ { "created": "Mon, 12 Jun 2023 15:00:58 GMT", "version": "v1" }, { "created": "Sat, 21 Oct 2023 17:56:55 GMT", "version": "v2" }, { "created": "Sat, 25 May 2024 23:07:36 GMT", "version": "v3" } ]
2024-05-28
[ [ "Chen", "Qinyi", "" ], [ "Liang", "Jason Cheuk Nam", "" ], [ "Golrezaei", "Negin", "" ], [ "Bouneffouf", "Djallel", "" ] ]
Today's online platforms heavily lean on algorithmic recommendations for bolstering user engagement and driving revenue. However, these recommendations can impact multiple stakeholders simultaneously -- the platform, items (sellers), and users (customers) -- each with their unique objectives, making it difficult to fin...
1512.09363
Valmir Barbosa
Fabiano de S. Oliveira, Valmir C. Barbosa
Counting independent terms in big-oh notation
null
Optimization Letters 11 (2017), 1757-1765
10.1007/s11590-016-1092-7
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The field of computational complexity is concerned both with the intrinsic hardness of computational problems and with the efficiency of algorithms to solve them. Given such a problem, normally one designs an algorithm to solve it and sets about establishing bounds on its performance as functions of the algorithm's v...
[ { "created": "Thu, 31 Dec 2015 20:47:11 GMT", "version": "v1" } ]
2017-11-13
[ [ "Oliveira", "Fabiano de S.", "" ], [ "Barbosa", "Valmir C.", "" ] ]
The field of computational complexity is concerned both with the intrinsic hardness of computational problems and with the efficiency of algorithms to solve them. Given such a problem, normally one designs an algorithm to solve it and sets about establishing bounds on its performance as functions of the algorithm's var...
1703.03147
Mahmoud Abo Khamis
Mahmoud Abo Khamis, Hung Q. Ngo, Atri Rudra
Juggling Functions Inside a Database
arXiv admin note: text overlap with arXiv:1504.04044
null
null
null
cs.DB cs.DS cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define and study the Functional Aggregate Query (FAQ) problem, which captures common computational tasks across a very wide range of domains including relational databases, logic, matrix and tensor computation, probabilistic graphical models, constraint satisfaction, and signal processing. Simply put, an FAQ is a ...
[ { "created": "Thu, 9 Mar 2017 06:08:01 GMT", "version": "v1" } ]
2017-03-10
[ [ "Khamis", "Mahmoud Abo", "" ], [ "Ngo", "Hung Q.", "" ], [ "Rudra", "Atri", "" ] ]
We define and study the Functional Aggregate Query (FAQ) problem, which captures common computational tasks across a very wide range of domains including relational databases, logic, matrix and tensor computation, probabilistic graphical models, constraint satisfaction, and signal processing. Simply put, an FAQ is a de...
2407.04929
Shuangyu Xie
Di Wang, Chengsong Hu, Shuangyu Xie, Joe Johnson, Hojun Ji, Yingtao Jiang, Muthukumar Bagavathiannan, and Dezhen Song
Toward Precise Robotic Weed Flaming Using a Mobile Manipulator with a Flamethrower
IROS 2024
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Robotic weed flaming is a new and environmentally friendly approach to weed removal in the agricultural field. Using a mobile manipulator equipped with a flamethrower, we design a new system and algorithm to enable effective weed flaming, which requires robotic manipulation with a soft and deformable end effector, as...
[ { "created": "Sat, 6 Jul 2024 02:43:12 GMT", "version": "v1" } ]
2024-07-09
[ [ "Wang", "Di", "" ], [ "Hu", "Chengsong", "" ], [ "Xie", "Shuangyu", "" ], [ "Johnson", "Joe", "" ], [ "Ji", "Hojun", "" ], [ "Jiang", "Yingtao", "" ], [ "Bagavathiannan", "Muthukumar", "" ], [ "Song...
Robotic weed flaming is a new and environmentally friendly approach to weed removal in the agricultural field. Using a mobile manipulator equipped with a flamethrower, we design a new system and algorithm to enable effective weed flaming, which requires robotic manipulation with a soft and deformable end effector, as t...
2308.03819
Zhiqian Chen
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
XFlow: Benchmarking Flow Behaviors over Graphs
null
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The occurrence of diffusion on a graph is a prevalent and significant phenomenon, as evidenced by the spread of rumors, influenza-like viruses, smart grid failures, and similar events. Comprehending the behaviors of flow is a formidable task, due to the intricate interplay between the distribution of seeds that initi...
[ { "created": "Mon, 7 Aug 2023 14:49:22 GMT", "version": "v1" } ]
2023-08-09
[ [ "Zhang", "Zijian", "" ], [ "Zhang", "Zonghan", "" ], [ "Chen", "Zhiqian", "" ] ]
The occurrence of diffusion on a graph is a prevalent and significant phenomenon, as evidenced by the spread of rumors, influenza-like viruses, smart grid failures, and similar events. Comprehending the behaviors of flow is a formidable task, due to the intricate interplay between the distribution of seeds that initiat...
2204.06326
Katja Ludwig
Katja Ludwig, Daniel Kienzle, Rainer Lienhart
Recognition of Freely Selected Keypoints on Human Limbs
accepted at CVSports (CVPR 2022 Workshops)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nearly all Human Pose Estimation (HPE) datasets consist of a fixed set of keypoints. Standard HPE models trained on such datasets can only detect these keypoints. If more points are desired, they have to be manually annotated and the model needs to be retrained. Our approach leverages the Vision Transformer architect...
[ { "created": "Wed, 13 Apr 2022 11:58:28 GMT", "version": "v1" } ]
2022-04-14
[ [ "Ludwig", "Katja", "" ], [ "Kienzle", "Daniel", "" ], [ "Lienhart", "Rainer", "" ] ]
Nearly all Human Pose Estimation (HPE) datasets consist of a fixed set of keypoints. Standard HPE models trained on such datasets can only detect these keypoints. If more points are desired, they have to be manually annotated and the model needs to be retrained. Our approach leverages the Vision Transformer architectur...
2303.13223
Zixuan Ding
Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
null
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Multi-label recognition (MLR) with incomplete labels is very challenging. Recent works strive to explore the image-to-label correspondence in the vision-language model, \ie, CLIP, to compensate for insufficient annotations. In spite of promising performance, they generally overlook the valuable prior about the label-...
[ { "created": "Thu, 23 Mar 2023 12:39:20 GMT", "version": "v1" }, { "created": "Fri, 24 Mar 2023 04:36:27 GMT", "version": "v2" }, { "created": "Wed, 3 May 2023 12:26:52 GMT", "version": "v3" }, { "created": "Wed, 3 May 2023 12:31:20 GMT", "version": "v4" }, { "cre...
2023-07-12
[ [ "Ding", "Zixuan", "" ], [ "Wang", "Ao", "" ], [ "Chen", "Hui", "" ], [ "Zhang", "Qiang", "" ], [ "Liu", "Pengzhang", "" ], [ "Bao", "Yongjun", "" ], [ "Yan", "Weipeng", "" ], [ "Han", "Jungong",...
Multi-label recognition (MLR) with incomplete labels is very challenging. Recent works strive to explore the image-to-label correspondence in the vision-language model, \ie, CLIP, to compensate for insufficient annotations. In spite of promising performance, they generally overlook the valuable prior about the label-to...
2110.06467
Guochen Yu
Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Accepted by ICASSP 2022
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance. Motivated by that, we propose a dual-branch attention-in-attention transformer dubbed DB-AIAT to handle both coarse- and fine-grained...
[ { "created": "Wed, 13 Oct 2021 03:03:49 GMT", "version": "v1" }, { "created": "Thu, 21 Oct 2021 14:51:13 GMT", "version": "v2" }, { "created": "Fri, 5 Nov 2021 09:09:21 GMT", "version": "v3" }, { "created": "Mon, 24 Jan 2022 02:22:36 GMT", "version": "v4" }, { "cr...
2022-02-15
[ [ "Yu", "Guochen", "" ], [ "Li", "Andong", "" ], [ "Zheng", "Chengshi", "" ], [ "Guo", "Yinuo", "" ], [ "Wang", "Yutian", "" ], [ "Wang", "Hui", "" ] ]
Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance. Motivated by that, we propose a dual-branch attention-in-attention transformer dubbed DB-AIAT to handle both coarse- and fine-grained r...
1907.05839
Giorgio Magri
Arto Anttila, Scott Borgeson, Giorgio Magri
Equiprobable mappings in weighted constraint grammars
10 pages; Proceedings of ACL Sigmorphon 2019
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that MaxEnt is so rich that it can distinguish between any two different mappings: there always exists a nonnegative weight vector which assigns them different MaxEnt probabilities. Stochastic HG instead does admit equiprobable mappings and we give a complete formal characterization of them. We compare these ...
[ { "created": "Fri, 12 Jul 2019 17:02:14 GMT", "version": "v1" } ]
2019-07-15
[ [ "Anttila", "Arto", "" ], [ "Borgeson", "Scott", "" ], [ "Magri", "Giorgio", "" ] ]
We show that MaxEnt is so rich that it can distinguish between any two different mappings: there always exists a nonnegative weight vector which assigns them different MaxEnt probabilities. Stochastic HG instead does admit equiprobable mappings and we give a complete formal characterization of them. We compare these di...
0901.4275
Hyun Sung Chang
Hyun Sung Chang, Yair Weiss, William T. Freeman
Informative Sensing
26 pages; submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Compressed sensing is a recent set of mathematical results showing that sparse signals can be exactly reconstructed from a small number of linear measurements. Interestingly, for ideal sparse signals with no measurement noise, random measurements allow perfect reconstruction while measurements based on principal comp...
[ { "created": "Tue, 27 Jan 2009 16:12:00 GMT", "version": "v1" } ]
2009-01-28
[ [ "Chang", "Hyun Sung", "" ], [ "Weiss", "Yair", "" ], [ "Freeman", "William T.", "" ] ]
Compressed sensing is a recent set of mathematical results showing that sparse signals can be exactly reconstructed from a small number of linear measurements. Interestingly, for ideal sparse signals with no measurement noise, random measurements allow perfect reconstruction while measurements based on principal compon...
1204.3838
Abdelmalik Moujahid
A. Moujahid, A. D'Anjou, F.J. Torrealdea and C. Sarasola
Energy cost reduction in the synchronization of a pair of nonidentical coupled Hindmarsh-Rose neurons
null
Advances in Intelligent and Soft Computing, 2010, Volume 71/2010, 657-664
10.1007/978-3-642-12433-4_77
null
cs.AI nlin.CD q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many biological processes involve synchronization between nonequivalent systems, i.e, systems where the difference is limited to a rather small parameter mismatch. The maintenance of the synchronized regime in this cases is energetically costly \cite{1}. This work studies the energy implications of synchronization ph...
[ { "created": "Tue, 17 Apr 2012 16:50:25 GMT", "version": "v1" } ]
2012-04-19
[ [ "Moujahid", "A.", "" ], [ "D'Anjou", "A.", "" ], [ "Torrealdea", "F. J.", "" ], [ "Sarasola", "C.", "" ] ]
Many biological processes involve synchronization between nonequivalent systems, i.e, systems where the difference is limited to a rather small parameter mismatch. The maintenance of the synchronized regime in this cases is energetically costly \cite{1}. This work studies the energy implications of synchronization phen...
2405.10565
Tao Huang
Tao Huang, Yang Zhou, Daqi Lin, Junqiu Zhu, Ling-Qi Yan, Kui Wu
Real-time Level-of-Detail Strand-based Hair Rendering
12 pages, 10 figures, 1 performance plot
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Strand-based hair rendering has become increasingly popular in production for its realistic appearance. However, the prevailing level-of-detail solution employing hair cards for distant hair models introduces a significant discontinuity in dynamics and appearance during the transition from strands to cards. We introd...
[ { "created": "Fri, 17 May 2024 06:24:43 GMT", "version": "v1" } ]
2024-05-20
[ [ "Huang", "Tao", "" ], [ "Zhou", "Yang", "" ], [ "Lin", "Daqi", "" ], [ "Zhu", "Junqiu", "" ], [ "Yan", "Ling-Qi", "" ], [ "Wu", "Kui", "" ] ]
Strand-based hair rendering has become increasingly popular in production for its realistic appearance. However, the prevailing level-of-detail solution employing hair cards for distant hair models introduces a significant discontinuity in dynamics and appearance during the transition from strands to cards. We introduc...
2109.10118
Sahil Sharma Dr.
Saurabh Kamal and Sahil Sharma
A Comprehensive Review on Summarizing Financial News Using Deep Learning
48 Figures, 9 Tables, and 28 Pages. The Paper is under review in an SCI Journal
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Investors make investment decisions depending on several factors such as fundamental analysis, technical analysis, and quantitative analysis. Another factor on which investors can make investment decisions is through sentiment analysis of news headlines, the sole purpose of this study. Natural Language Processing tec...
[ { "created": "Tue, 21 Sep 2021 12:00:31 GMT", "version": "v1" } ]
2021-09-22
[ [ "Kamal", "Saurabh", "" ], [ "Sharma", "Sahil", "" ] ]
Investors make investment decisions depending on several factors such as fundamental analysis, technical analysis, and quantitative analysis. Another factor on which investors can make investment decisions is through sentiment analysis of news headlines, the sole purpose of this study. Natural Language Processing techn...
2310.02720
Jiatong Shi
Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Sun
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
Accepted at ICLR2024 as spotlight
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-sa/4.0/
Existing Self-Supervised Learning (SSL) models for speech typically process speech signals at a fixed resolution of 20 milliseconds. This approach overlooks the varying informational content present at different resolutions in speech signals. In contrast, this paper aims to incorporate multi-resolution information in...
[ { "created": "Wed, 4 Oct 2023 10:52:13 GMT", "version": "v1" }, { "created": "Tue, 30 Jan 2024 08:52:12 GMT", "version": "v2" } ]
2024-01-31
[ [ "Shi", "Jiatong", "" ], [ "Inaguma", "Hirofumi", "" ], [ "Ma", "Xutai", "" ], [ "Kulikov", "Ilia", "" ], [ "Sun", "Anna", "" ] ]
Existing Self-Supervised Learning (SSL) models for speech typically process speech signals at a fixed resolution of 20 milliseconds. This approach overlooks the varying informational content present at different resolutions in speech signals. In contrast, this paper aims to incorporate multi-resolution information into...
2101.00390
Changhan Wang
Changhan Wang, Morgane Rivi\`ere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Accepted to ACL 2021 (long paper)
null
null
null
cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised representation learning as well as semi-supervised learning. VoxPopuli also contains 1.8K hours of transcribed speeches in 16 languages and the...
[ { "created": "Sat, 2 Jan 2021 07:24:21 GMT", "version": "v1" }, { "created": "Tue, 27 Jul 2021 04:04:57 GMT", "version": "v2" } ]
2021-07-28
[ [ "Wang", "Changhan", "" ], [ "Rivière", "Morgane", "" ], [ "Lee", "Ann", "" ], [ "Wu", "Anne", "" ], [ "Talnikar", "Chaitanya", "" ], [ "Haziza", "Daniel", "" ], [ "Williamson", "Mary", "" ], [ "Pino...
We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised representation learning as well as semi-supervised learning. VoxPopuli also contains 1.8K hours of transcribed speeches in 16 languages and their...
1607.01477
Tim Moon
Tim Moon and Jack Poulson
Accelerating eigenvector and pseudospectra computation using blocked multi-shift triangular solves
20 pages, 6 figures
null
null
null
cs.MS cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-shift triangular solves are basic linear algebra calculations with applications in eigenvector and pseudospectra computation. We propose blocked algorithms that efficiently exploit Level 3 BLAS to perform multi-shift triangular solves and safe multi-shift triangular solves. Numerical experiments indicate that c...
[ { "created": "Wed, 6 Jul 2016 04:19:04 GMT", "version": "v1" }, { "created": "Sat, 30 Jul 2016 16:52:39 GMT", "version": "v2" } ]
2016-08-02
[ [ "Moon", "Tim", "" ], [ "Poulson", "Jack", "" ] ]
Multi-shift triangular solves are basic linear algebra calculations with applications in eigenvector and pseudospectra computation. We propose blocked algorithms that efficiently exploit Level 3 BLAS to perform multi-shift triangular solves and safe multi-shift triangular solves. Numerical experiments indicate that com...
2210.11334
Jiasi Weng
Jiasi Weng, Shenglong Yao, Yuefeng Du, Junjie Huang, Jian Weng, Cong Wang
Proof of Unlearning: Definitions and Instantiation
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
The "Right to be Forgotten" rule in machine learning (ML) practice enables some individual data to be deleted from a trained model, as pursued by recently developed machine unlearning techniques. To truly comply with the rule, a natural and necessary step is to verify if the individual data are indeed deleted after u...
[ { "created": "Thu, 20 Oct 2022 15:12:19 GMT", "version": "v1" }, { "created": "Fri, 21 Oct 2022 09:34:56 GMT", "version": "v2" } ]
2022-10-24
[ [ "Weng", "Jiasi", "" ], [ "Yao", "Shenglong", "" ], [ "Du", "Yuefeng", "" ], [ "Huang", "Junjie", "" ], [ "Weng", "Jian", "" ], [ "Wang", "Cong", "" ] ]
The "Right to be Forgotten" rule in machine learning (ML) practice enables some individual data to be deleted from a trained model, as pursued by recently developed machine unlearning techniques. To truly comply with the rule, a natural and necessary step is to verify if the individual data are indeed deleted after unl...
2211.08891
Ga\"etan Staquet
V\'eronique Bruy\`ere, Guillermo A. Perez, Ga\"etan Staquet
Validating Streaming JSON Documents with Learned VPAs
46 pages, 10 figures, published at TACAS 2023
Tools and Algorithms for the Construction and Analysis of Systems (TACAS) 2023, pp. 271-289
10.1007/978-3-031-30823-9_14
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new streaming algorithm to validate JSON documents against a set of constraints given as a JSON schema. Among the possible values a JSON document can hold, objects are unordered collections of key-value pairs while arrays are ordered collections of values. We prove that there always exists a visibly push...
[ { "created": "Wed, 16 Nov 2022 12:55:32 GMT", "version": "v1" }, { "created": "Wed, 8 Mar 2023 15:09:04 GMT", "version": "v2" } ]
2023-05-15
[ [ "Bruyère", "Véronique", "" ], [ "Perez", "Guillermo A.", "" ], [ "Staquet", "Gaëtan", "" ] ]
We present a new streaming algorithm to validate JSON documents against a set of constraints given as a JSON schema. Among the possible values a JSON document can hold, objects are unordered collections of key-value pairs while arrays are ordered collections of values. We prove that there always exists a visibly pushdo...
1802.05249
Matthew Staib
Matthew Staib, Bryan Wilder, Stefanie Jegelka
Distributionally Robust Submodular Maximization
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Submodular functions have applications throughout machine learning, but in many settings, we do not have direct access to the underlying function $f$. We focus on stochastic functions that are given as an expectation of functions over a distribution $P$. In practice, we often have only a limited set of samples $f_i$ ...
[ { "created": "Wed, 14 Feb 2018 18:16:43 GMT", "version": "v1" }, { "created": "Wed, 6 Jun 2018 02:06:25 GMT", "version": "v2" } ]
2018-06-07
[ [ "Staib", "Matthew", "" ], [ "Wilder", "Bryan", "" ], [ "Jegelka", "Stefanie", "" ] ]
Submodular functions have applications throughout machine learning, but in many settings, we do not have direct access to the underlying function $f$. We focus on stochastic functions that are given as an expectation of functions over a distribution $P$. In practice, we often have only a limited set of samples $f_i$ fr...
2305.19902
Jia Guo
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
Findings of ACL 2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Argument mining involves multiple sub-tasks that automatically identify argumentative elements, such as claim detection, evidence extraction, stance classification, etc. However, each subtask alone is insufficient for a thorough understanding of the argumentative structure and reasoning process. To learn a complete v...
[ { "created": "Wed, 31 May 2023 14:35:53 GMT", "version": "v1" } ]
2023-06-01
[ [ "Guo", "Jia", "" ], [ "Cheng", "Liying", "" ], [ "Zhang", "Wenxuan", "" ], [ "Kok", "Stanley", "" ], [ "Li", "Xin", "" ], [ "Bing", "Lidong", "" ] ]
Argument mining involves multiple sub-tasks that automatically identify argumentative elements, such as claim detection, evidence extraction, stance classification, etc. However, each subtask alone is insufficient for a thorough understanding of the argumentative structure and reasoning process. To learn a complete vie...
1606.03875
Pablo Gomez Esteban
Pablo G\'omez Esteban, Hoang-Long Cao, Albert De Beir, Greet Van de Perre, Dirk Lefeber and Bram Vanderborght
A multilayer reactive system for robots interacting with children with autism
5th International Symposium on New Frontiers in Human-Robot Interaction 2016 (arXiv:1602.05456)
null
null
AISB-NFHRI/2016/10
cs.RO cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a lack of autonomy on traditional Robot-Assisted Therapy systems interacting with children with autism. To overcome this limitation a supervised autonomous robot controller is being built. In this paper we present a multilayer reactive system within such controller. The goal of this Reactive system is to all...
[ { "created": "Mon, 13 Jun 2016 09:42:14 GMT", "version": "v1" } ]
2016-06-14
[ [ "Esteban", "Pablo Gómez", "" ], [ "Cao", "Hoang-Long", "" ], [ "De Beir", "Albert", "" ], [ "Van de Perre", "Greet", "" ], [ "Lefeber", "Dirk", "" ], [ "Vanderborght", "Bram", "" ] ]
There is a lack of autonomy on traditional Robot-Assisted Therapy systems interacting with children with autism. To overcome this limitation a supervised autonomous robot controller is being built. In this paper we present a multilayer reactive system within such controller. The goal of this Reactive system is to allow...
2107.08598
Guangda Huzhang
Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Ensemble models in E-commerce combine predictions from multiple sub-models for ranking and revenue improvement. Industrial ensemble models are typically deep neural networks, following the supervised learning paradigm to infer conversion rate given inputs from sub-models. However, this process has the following two p...
[ { "created": "Mon, 19 Jul 2021 03:24:06 GMT", "version": "v1" }, { "created": "Tue, 10 Aug 2021 08:52:14 GMT", "version": "v2" }, { "created": "Thu, 2 Feb 2023 03:21:47 GMT", "version": "v3" } ]
2023-02-03
[ [ "Wang", "Xuesi", "" ], [ "Huzhang", "Guangda", "" ], [ "Lin", "Qianying", "" ], [ "Da", "Qing", "" ] ]
Ensemble models in E-commerce combine predictions from multiple sub-models for ranking and revenue improvement. Industrial ensemble models are typically deep neural networks, following the supervised learning paradigm to infer conversion rate given inputs from sub-models. However, this process has the following two pro...
2405.11347
Samira Shirzadehhajimahmood
Samira Shirzadeh-hajimahmood, I. S. W. B. Prasteya, Mehdi Dastani, Frank Dignum
Cooperative Multi-agent Approach for Automated Computer Game Testing
null
null
null
null
cs.SE cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated testing of computer games is a challenging problem, especially when lengthy scenarios have to be tested. Automating such a scenario boils down to finding the right sequence of interactions given an abstract description of the scenario. Recent works have shown that an agent-based approach works well for the ...
[ { "created": "Sat, 18 May 2024 17:31:26 GMT", "version": "v1" } ]
2024-05-21
[ [ "Shirzadeh-hajimahmood", "Samira", "" ], [ "Prasteya", "I. S. W. B.", "" ], [ "Dastani", "Mehdi", "" ], [ "Dignum", "Frank", "" ] ]
Automated testing of computer games is a challenging problem, especially when lengthy scenarios have to be tested. Automating such a scenario boils down to finding the right sequence of interactions given an abstract description of the scenario. Recent works have shown that an agent-based approach works well for the pu...
2406.16949
Jiaming Yan
Jiaming Yan
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advancements in artificial intelligence (AI) have positioned deep learning (DL) as a pivotal technology in fields like computer vision, data mining, and natural language processing. A critical factor in DL performance is the selection of neural network architecture. Traditional predefined architectures often f...
[ { "created": "Wed, 19 Jun 2024 12:39:02 GMT", "version": "v1" } ]
2024-06-26
[ [ "Yan", "Jiaming", "" ] ]
Recent advancements in artificial intelligence (AI) have positioned deep learning (DL) as a pivotal technology in fields like computer vision, data mining, and natural language processing. A critical factor in DL performance is the selection of neural network architecture. Traditional predefined architectures often fai...
1205.6658
Michel Feldmann
Michel Feldmann
Solving satisfiability by Bayesian inference
This version V5: Editorial revisions. 11 pages, no figure. (Initial title:From classical versus quantum algorithms to P versus NP). Additional comments on relations with quantum computing in arXiv: 1312.7551
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We demonstrate that any logical problem can be solved by Bayesian inference. In this approach, the distinction between complexity classes vanishes. The method is illustrated by solving the 3-SAT problem in polynomial time. Beyond this, Bayesian inference could be the background of artificial neural network theory.
[ { "created": "Wed, 30 May 2012 13:06:28 GMT", "version": "v1" }, { "created": "Mon, 20 Aug 2012 09:55:58 GMT", "version": "v2" }, { "created": "Thu, 13 Nov 2014 12:47:52 GMT", "version": "v3" }, { "created": "Fri, 24 Jan 2020 09:48:15 GMT", "version": "v4" }, { "c...
2020-02-05
[ [ "Feldmann", "Michel", "" ] ]
We demonstrate that any logical problem can be solved by Bayesian inference. In this approach, the distinction between complexity classes vanishes. The method is illustrated by solving the 3-SAT problem in polynomial time. Beyond this, Bayesian inference could be the background of artificial neural network theory.
1509.05338
Jaderick Pabico
Reginald Neil C. Recario, Marie Betel B. de Robles, Kristine Elaine P. Bautista, Jaderick P. Pabico
Social Loafing Among Members of Undergraduate Software Engineering Groups: Persistence of Perception Seven Years After
16 pages, 5 figures, contributed article submitted to the 13th National Conference on Information Technology Education(NCITE 2015), Angeles University Foundation, Angeles City, Pampanga, Philippines, 22-24 October 2015. arXiv admin note: text overlap with arXiv:1507.08345
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
We surveyed 169 undergraduate students who are enrolled in various courses. They were members of software engineering groups formed to solve various real-world computational problems by implementing software projects as part of the requirements of the course. This time, our analysis show that task visibility is negat...
[ { "created": "Thu, 17 Sep 2015 17:16:42 GMT", "version": "v1" } ]
2015-09-18
[ [ "Recario", "Reginald Neil C.", "" ], [ "de Robles", "Marie Betel B.", "" ], [ "Bautista", "Kristine Elaine P.", "" ], [ "Pabico", "Jaderick P.", "" ] ]
We surveyed 169 undergraduate students who are enrolled in various courses. They were members of software engineering groups formed to solve various real-world computational problems by implementing software projects as part of the requirements of the course. This time, our analysis show that task visibility is negativ...
2304.14516
Valdecy Pereira
Valdecy Pereira, Marcio Pereira Basilio, Carlos Henrique Tarjano Santos
pyBibX -- A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools
30 pages, 12 figures, 6 tables
null
null
null
cs.DL cs.AI
http://creativecommons.org/licenses/by/4.0/
Bibliometric and Scientometric analyses offer invaluable perspectives on the complex research terrain and collaborative dynamics spanning diverse academic disciplines. This paper presents pyBibX, a python library devised to conduct comprehensive bibliometric and scientometric analyses on raw data files sourced from S...
[ { "created": "Thu, 27 Apr 2023 20:06:07 GMT", "version": "v1" } ]
2023-05-01
[ [ "Pereira", "Valdecy", "" ], [ "Basilio", "Marcio Pereira", "" ], [ "Santos", "Carlos Henrique Tarjano", "" ] ]
Bibliometric and Scientometric analyses offer invaluable perspectives on the complex research terrain and collaborative dynamics spanning diverse academic disciplines. This paper presents pyBibX, a python library devised to conduct comprehensive bibliometric and scientometric analyses on raw data files sourced from Sco...
2305.06221
YiQi Wang
Yingjie Tian, Yiqi Wang, Xianda Guo, Zheng Zhu, Long Chen
Multi-Prompt with Depth Partitioned Cross-Modal Learning
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with frozen parameters. However, they often employ a single prompt t...
[ { "created": "Wed, 10 May 2023 14:54:29 GMT", "version": "v1" }, { "created": "Thu, 25 May 2023 08:57:14 GMT", "version": "v2" }, { "created": "Tue, 5 Sep 2023 01:56:58 GMT", "version": "v3" }, { "created": "Tue, 30 Apr 2024 10:39:19 GMT", "version": "v4" } ]
2024-05-01
[ [ "Tian", "Yingjie", "" ], [ "Wang", "Yiqi", "" ], [ "Guo", "Xianda", "" ], [ "Zhu", "Zheng", "" ], [ "Chen", "Long", "" ] ]
In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with frozen parameters. However, they often employ a single prompt to ...
2406.12104
Karime Maamari
Karime Maamari, Amine Mhedhbi
End-to-end Text-to-SQL Generation within an Analytics Insight Engine
null
null
null
null
cs.CL cs.AI cs.DB cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent advancements in Text-to-SQL have pushed database management systems towards greater democratization of data access. Today's language models are at the core of these advancements. They enable impressive Text-to-SQL generation as experienced in the development of Distyl AI's Analytics Insight Engine. Its early d...
[ { "created": "Mon, 17 Jun 2024 21:33:01 GMT", "version": "v1" } ]
2024-06-19
[ [ "Maamari", "Karime", "" ], [ "Mhedhbi", "Amine", "" ] ]
Recent advancements in Text-to-SQL have pushed database management systems towards greater democratization of data access. Today's language models are at the core of these advancements. They enable impressive Text-to-SQL generation as experienced in the development of Distyl AI's Analytics Insight Engine. Its early dep...
2302.02061
Guy Tennenholtz
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
Reinforcement Learning with History-Dependent Dynamic Contexts
Published in ICML 2023
null
null
null
cs.LG cs.AI cs.SY eess.SY stat.ML
http://creativecommons.org/licenses/by/4.0/
We introduce Dynamic Contextual Markov Decision Processes (DCMDPs), a novel reinforcement learning framework for history-dependent environments that generalizes the contextual MDP framework to handle non-Markov environments, where contexts change over time. We consider special cases of the model, with a focus on logi...
[ { "created": "Sat, 4 Feb 2023 01:58:21 GMT", "version": "v1" }, { "created": "Thu, 18 May 2023 02:08:52 GMT", "version": "v2" } ]
2023-05-19
[ [ "Tennenholtz", "Guy", "" ], [ "Merlis", "Nadav", "" ], [ "Shani", "Lior", "" ], [ "Mladenov", "Martin", "" ], [ "Boutilier", "Craig", "" ] ]
We introduce Dynamic Contextual Markov Decision Processes (DCMDPs), a novel reinforcement learning framework for history-dependent environments that generalizes the contextual MDP framework to handle non-Markov environments, where contexts change over time. We consider special cases of the model, with a focus on logist...
2403.03863
Hanzi Xu
Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, few-shot and zero-shot learning, which learn to predict labels with limited annotated instances, have garnered significant attention. Traditional approaches often treat frequent-shot (freq-shot; labels with abundant instances), few-shot, and zero-shot learning as distinct challenges, optimizing syste...
[ { "created": "Wed, 6 Mar 2024 17:13:24 GMT", "version": "v1" } ]
2024-03-07
[ [ "Xu", "Hanzi", "" ], [ "Chen", "Muhao", "" ], [ "Huang", "Lifu", "" ], [ "Vucetic", "Slobodan", "" ], [ "Yin", "Wenpeng", "" ] ]
In recent years, few-shot and zero-shot learning, which learn to predict labels with limited annotated instances, have garnered significant attention. Traditional approaches often treat frequent-shot (freq-shot; labels with abundant instances), few-shot, and zero-shot learning as distinct challenges, optimizing systems...
2209.07342
Li-Chun Zhang
Li-Chun Zhang
Sampling for network function learning
null
null
null
null
cs.SI cs.LG
http://creativecommons.org/licenses/by/4.0/
Given a valued graph, where both the nodes and the edges of the graph are associated with one or several values, any network function for a given node must be defined in terms of that node and its connected nodes in the graph. Generally, applying the same definition to the whole graph or any given subgraph of it woul...
[ { "created": "Sun, 11 Sep 2022 11:22:34 GMT", "version": "v1" } ]
2022-09-16
[ [ "Zhang", "Li-Chun", "" ] ]
Given a valued graph, where both the nodes and the edges of the graph are associated with one or several values, any network function for a given node must be defined in terms of that node and its connected nodes in the graph. Generally, applying the same definition to the whole graph or any given subgraph of it would ...
2403.11708
Kaijie Ren
Kaijie Ren and Lei Zhang
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
CVPR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visible-Infrared Person Re-identification (VI-ReID) is a challenging cross-modal pedestrian retrieval task, due to significant intra-class variations and cross-modal discrepancies among different cameras. Existing works mainly focus on embedding images of different modalities into a unified space to mine modality-sha...
[ { "created": "Mon, 18 Mar 2024 12:12:45 GMT", "version": "v1" }, { "created": "Thu, 21 Mar 2024 02:48:22 GMT", "version": "v2" }, { "created": "Tue, 26 Mar 2024 13:21:52 GMT", "version": "v3" } ]
2024-03-27
[ [ "Ren", "Kaijie", "" ], [ "Zhang", "Lei", "" ] ]
Visible-Infrared Person Re-identification (VI-ReID) is a challenging cross-modal pedestrian retrieval task, due to significant intra-class variations and cross-modal discrepancies among different cameras. Existing works mainly focus on embedding images of different modalities into a unified space to mine modality-share...
1910.12094
Jui-Yang Hsu
Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee
Meta Learning for End-to-End Low-Resource Speech Recognition
5 pages, submitted to ICASSP 2020
null
null
null
cs.SD cs.CL eess.AS
http://creativecommons.org/licenses/by/4.0/
In this paper, we proposed to apply meta learning approach for low-resource automatic speech recognition (ASR). We formulated ASR for different languages as different tasks, and meta-learned the initialization parameters from many pretraining languages to achieve fast adaptation on unseen target language, via recentl...
[ { "created": "Sat, 26 Oct 2019 16:00:44 GMT", "version": "v1" } ]
2019-10-29
[ [ "Hsu", "Jui-Yang", "" ], [ "Chen", "Yuan-Jui", "" ], [ "Lee", "Hung-yi", "" ] ]
In this paper, we proposed to apply meta learning approach for low-resource automatic speech recognition (ASR). We formulated ASR for different languages as different tasks, and meta-learned the initialization parameters from many pretraining languages to achieve fast adaptation on unseen target language, via recently ...
cs/0306112
Gabriele Garzoglio
D. Bonham, G. Garzoglio, R. Herber, J. Kowalkowski, D. Litvintsev, L. Lueking, M. Paterno, D. Petravick, L. Piccoli, R. Pordes, N. Stanfield, I. Terekhov, J. Trumbo, J. Tseng, S. Veseli, M. Votava, V. White, T. Huffman, S. Stonjek, K. Waltkins, P. Crosby, D. Waters, R. St.Denis
Adapting SAM for CDF
Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 4 pages, pdf format, TUAT004
ECONF C0303241:TUAT004,2003
null
TUAT004
cs.DC
null
The CDF and D0 experiments probe the high-energy frontier and as they do so have accumulated hundreds of Terabytes of data on the way to petabytes of data over the next two years. The experiments have made a commitment to use the developing Grid based on the SAM system to handle these data. The D0 SAM has been extend...
[ { "created": "Wed, 18 Jun 2003 16:28:02 GMT", "version": "v1" } ]
2009-01-09
[ [ "Bonham", "D.", "" ], [ "Garzoglio", "G.", "" ], [ "Herber", "R.", "" ], [ "Kowalkowski", "J.", "" ], [ "Litvintsev", "D.", "" ], [ "Lueking", "L.", "" ], [ "Paterno", "M.", "" ], [ "Petravick", ...
The CDF and D0 experiments probe the high-energy frontier and as they do so have accumulated hundreds of Terabytes of data on the way to petabytes of data over the next two years. The experiments have made a commitment to use the developing Grid based on the SAM system to handle these data. The D0 SAM has been extended...
2001.03835
Xianzhe Xu
Xianzhe Xu, Meixia Tao, Cong Shen
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
15 pages, 11 figures,accepted by IEEE Transcations on Wireless Communication
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates learning-based caching in small-cell networks (SCNs) when user preference is unknown. The goal is to optimize the cache placement in each small base station (SBS) for minimizing the system long-term transmission delay. We model this sequential multi-agent decision making problem in a multi-age...
[ { "created": "Sun, 12 Jan 2020 03:02:38 GMT", "version": "v1" }, { "created": "Tue, 14 Jan 2020 05:50:05 GMT", "version": "v2" } ]
2020-01-15
[ [ "Xu", "Xianzhe", "" ], [ "Tao", "Meixia", "" ], [ "Shen", "Cong", "" ] ]
This paper investigates learning-based caching in small-cell networks (SCNs) when user preference is unknown. The goal is to optimize the cache placement in each small base station (SBS) for minimizing the system long-term transmission delay. We model this sequential multi-agent decision making problem in a multi-agent...
2005.04408
Xu Yao
Xu Yao, Gilles Puy, Patrick P\'erez
Photo style transfer with consistency losses
null
In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 2314-2318). IEEE
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of style transfer between two photos and propose a new way to preserve photorealism. Using the single pair of photos available as input, we train a pair of deep convolution networks (convnets), each of which transfers the style of one photo to the other. To enforce photorealism, we introduce a ...
[ { "created": "Sat, 9 May 2020 09:58:06 GMT", "version": "v1" } ]
2020-05-12
[ [ "Yao", "Xu", "" ], [ "Puy", "Gilles", "" ], [ "Pérez", "Patrick", "" ] ]
We address the problem of style transfer between two photos and propose a new way to preserve photorealism. Using the single pair of photos available as input, we train a pair of deep convolution networks (convnets), each of which transfers the style of one photo to the other. To enforce photorealism, we introduce a co...
2103.12833
Vincent Leon
Vincent Leon, S. Rasoul Etesami
Online Learning in Budget-Constrained Dynamic Colonel Blotto Games
null
null
10.1007/s13235-023-00518-7
null
cs.LG cs.GT cs.MA cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the strategic allocation of limited resources using a Colonel Blotto game (CBG) under a dynamic setting and analyze the problem using an online learning approach. In this model, one of the players is a learner who has limited troops to allocate over a finite time horizon, and the other player ...
[ { "created": "Tue, 23 Mar 2021 20:52:56 GMT", "version": "v1" }, { "created": "Wed, 10 Nov 2021 18:07:22 GMT", "version": "v2" }, { "created": "Thu, 7 Jul 2022 20:36:01 GMT", "version": "v3" }, { "created": "Mon, 8 May 2023 19:45:41 GMT", "version": "v4" } ]
2023-09-13
[ [ "Leon", "Vincent", "" ], [ "Etesami", "S. Rasoul", "" ] ]
In this paper, we study the strategic allocation of limited resources using a Colonel Blotto game (CBG) under a dynamic setting and analyze the problem using an online learning approach. In this model, one of the players is a learner who has limited troops to allocate over a finite time horizon, and the other player is...
2102.10864
Judit Acs
Judit \'Acs and \'Akos K\'ad\'ar and Andr\'as Kornai
Subword Pooling Makes a Difference
null
EACL2021
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Contextual word-representations became a standard in modern natural language processing systems. These models use subword tokenization to handle large vocabularies and unknown words. Word-level usage of such systems requires a way of pooling multiple subwords that correspond to a single word. In this paper we investi...
[ { "created": "Mon, 22 Feb 2021 09:59:30 GMT", "version": "v1" }, { "created": "Mon, 29 Mar 2021 13:32:52 GMT", "version": "v2" } ]
2021-03-30
[ [ "Ács", "Judit", "" ], [ "Kádár", "Ákos", "" ], [ "Kornai", "András", "" ] ]
Contextual word-representations became a standard in modern natural language processing systems. These models use subword tokenization to handle large vocabularies and unknown words. Word-level usage of such systems requires a way of pooling multiple subwords that correspond to a single word. In this paper we investiga...
1801.02827
Esra'a Alkafaween
Esra'a O Alkafaween
Novel Methods for Enhancing the Performance of Genetic Algorithms
88 pages, Master's thesis, Information Technology, Mutah university, 2015
null
null
null
cs.NE cs.AI
http://creativecommons.org/licenses/by/4.0/
In this thesis we propose new methods for crossover operator namely: cut on worst gene (COWGC), cut on worst L+R gene (COWLRGC) and Collision Crossovers. And also we propose several types of mutation operator such as: worst gene with random gene mutation (WGWRGM) , worst LR gene with random gene mutation (WLRGWRGM), ...
[ { "created": "Tue, 9 Jan 2018 07:37:23 GMT", "version": "v1" }, { "created": "Sun, 14 Jan 2018 06:27:03 GMT", "version": "v2" }, { "created": "Thu, 25 Jan 2018 18:08:15 GMT", "version": "v3" } ]
2018-01-26
[ [ "Alkafaween", "Esra'a O", "" ] ]
In this thesis we propose new methods for crossover operator namely: cut on worst gene (COWGC), cut on worst L+R gene (COWLRGC) and Collision Crossovers. And also we propose several types of mutation operator such as: worst gene with random gene mutation (WGWRGM) , worst LR gene with random gene mutation (WLRGWRGM), wo...
2101.07542
Berat Kurar Barakat
Berat Kurar Barakat, Rafi Cohen, Irina Rabaev, and Jihad El-Sana
VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper publishes a natural and very complicated dataset of handwritten documents with multiply oriented and curved text lines, namely VML-MOC dataset. These text lines were written as remarks on the page margins by different writers over the years. They appear at different locations within the orientations that r...
[ { "created": "Tue, 19 Jan 2021 10:10:45 GMT", "version": "v1" } ]
2021-01-20
[ [ "Barakat", "Berat Kurar", "" ], [ "Cohen", "Rafi", "" ], [ "Rabaev", "Irina", "" ], [ "El-Sana", "Jihad", "" ] ]
This paper publishes a natural and very complicated dataset of handwritten documents with multiply oriented and curved text lines, namely VML-MOC dataset. These text lines were written as remarks on the page margins by different writers over the years. They appear at different locations within the orientations that ran...
0901.3820
Cheng Chang
Cheng Chang
On the rate distortion function of Bernoulli Gaussian sequences
In preparation for IEEE Transactions on IT
null
10.1109/ISIT.2010.5513289
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the rate distortion function of the i.i.d sequence of multiplications of a Bernoulli $p$ random variable and a gaussian random variable $\sim N(0,1)$. We use a new technique in the derivation of the lower bound in which we establish the duality between channel coding and lossy source coding in...
[ { "created": "Sat, 24 Jan 2009 10:23:44 GMT", "version": "v1" } ]
2016-11-15
[ [ "Chang", "Cheng", "" ] ]
In this paper, we study the rate distortion function of the i.i.d sequence of multiplications of a Bernoulli $p$ random variable and a gaussian random variable $\sim N(0,1)$. We use a new technique in the derivation of the lower bound in which we establish the duality between channel coding and lossy source coding in t...
1811.09150
Chen Chen
Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng
MGANet: A Robust Model for Quality Enhancement of Compressed Video
12 pages, 12 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames. In this paper, we propose a multi-frame guided attention network (MGANet) to enhance the quality of compress...
[ { "created": "Thu, 22 Nov 2018 12:58:44 GMT", "version": "v1" }, { "created": "Mon, 26 Nov 2018 01:46:34 GMT", "version": "v2" }, { "created": "Wed, 19 Dec 2018 02:37:01 GMT", "version": "v3" }, { "created": "Tue, 15 Jan 2019 12:42:36 GMT", "version": "v4" } ]
2019-01-16
[ [ "Meng", "Xiandong", "" ], [ "Deng", "Xuan", "" ], [ "Zhu", "Shuyuan", "" ], [ "Liu", "Shuaicheng", "" ], [ "Wang", "Chuan", "" ], [ "Chen", "Chen", "" ], [ "Zeng", "Bing", "" ] ]
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames. In this paper, we propose a multi-frame guided attention network (MGANet) to enhance the quality of compressed...
1402.2042
Won-Yong Shin
Cheol Jeong and Won-Yong Shin
Ad Hoc Networking With Cost-Effective Infrastructure: Generalized Capacity Scaling
27 pages, 11 figures, Submitted to IEEE/ACM Transactions on Networking
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capacity scaling of a large hybrid network with unit node density, consisting of $n$ wireless ad hoc nodes, base stations (BSs) equipped with multiple antennas, and one remote central processor (RCP), is analyzed when wired backhaul links between the BSs and the RCP are rate-limited. We deal with a general scenario w...
[ { "created": "Mon, 10 Feb 2014 05:42:08 GMT", "version": "v1" }, { "created": "Mon, 28 Jul 2014 07:19:02 GMT", "version": "v2" } ]
2014-07-29
[ [ "Jeong", "Cheol", "" ], [ "Shin", "Won-Yong", "" ] ]
Capacity scaling of a large hybrid network with unit node density, consisting of $n$ wireless ad hoc nodes, base stations (BSs) equipped with multiple antennas, and one remote central processor (RCP), is analyzed when wired backhaul links between the BSs and the RCP are rate-limited. We deal with a general scenario whe...
2212.09563
Maxwell Yin
M. Yin, B. Wang, Y. Dong, C. Ling
Source-Free Domain Adaptation for Question Answering with Masked Self-training
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most previous unsupervised domain adaptation (UDA) methods for question answering(QA) require access to source domain data while fine-tuning the model for the target domain. Source domain data may, however, contain sensitive information and may be restricted. In this study, we investigate a more challenging setting, ...
[ { "created": "Mon, 19 Dec 2022 15:53:12 GMT", "version": "v1" }, { "created": "Sun, 17 Mar 2024 19:06:38 GMT", "version": "v2" } ]
2024-03-19
[ [ "Yin", "M.", "" ], [ "Wang", "B.", "" ], [ "Dong", "Y.", "" ], [ "Ling", "C.", "" ] ]
Most previous unsupervised domain adaptation (UDA) methods for question answering(QA) require access to source domain data while fine-tuning the model for the target domain. Source domain data may, however, contain sensitive information and may be restricted. In this study, we investigate a more challenging setting, so...
1708.06696
Daisuke Kimura
Daisuke Kimura and Makoto Tatsuta
Decision Procedure for Entailment of Symbolic Heaps with Arrays
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper gives a decision procedure for the validity of en- tailment of symbolic heaps in separation logic with Presburger arithmetic and arrays. The correctness of the decision procedure is proved under the condition that sizes of arrays in the succedent are not existentially bound. This condition is independent o...
[ { "created": "Tue, 22 Aug 2017 16:12:49 GMT", "version": "v1" }, { "created": "Mon, 28 Aug 2017 12:35:26 GMT", "version": "v2" } ]
2017-08-29
[ [ "Kimura", "Daisuke", "" ], [ "Tatsuta", "Makoto", "" ] ]
This paper gives a decision procedure for the validity of en- tailment of symbolic heaps in separation logic with Presburger arithmetic and arrays. The correctness of the decision procedure is proved under the condition that sizes of arrays in the succedent are not existentially bound. This condition is independent of ...