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2211.15787
Ju-Chiang Wang
Ju-Chiang Wang, Jordan B. L. Smith, Yun-Ning Hung
MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data
ISMIR2022, LBD paper
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Music structure analysis (MSA) systems aim to segment a song recording into non-overlapping sections with useful labels. Previous MSA systems typically predict abstract labels in a post-processing step and require the full context of the song. By contrast, we recently proposed a supervised framework, called "Music St...
[ { "created": "Mon, 28 Nov 2022 21:48:45 GMT", "version": "v1" } ]
2022-11-30
[ [ "Wang", "Ju-Chiang", "" ], [ "Smith", "Jordan B. L.", "" ], [ "Hung", "Yun-Ning", "" ] ]
Music structure analysis (MSA) systems aim to segment a song recording into non-overlapping sections with useful labels. Previous MSA systems typically predict abstract labels in a post-processing step and require the full context of the song. By contrast, we recently proposed a supervised framework, called "Music Stru...
2405.15334
Jonathan Dong
Shuya Lin, Yuxiong Wang, Jonathan Dong, and Shiguang Ni
Detection and Positive Reconstruction of Cognitive Distortion sentences: Mandarin Dataset and Evaluation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This research introduces a Positive Reconstruction Framework based on positive psychology theory. Overcoming negative thoughts can be challenging, our objective is to address and reframe them through a positive reinterpretation. To tackle this challenge, a two-fold approach is necessary: identifying cognitive distort...
[ { "created": "Fri, 24 May 2024 08:17:20 GMT", "version": "v1" } ]
2024-05-27
[ [ "Lin", "Shuya", "" ], [ "Wang", "Yuxiong", "" ], [ "Dong", "Jonathan", "" ], [ "Ni", "Shiguang", "" ] ]
This research introduces a Positive Reconstruction Framework based on positive psychology theory. Overcoming negative thoughts can be challenging, our objective is to address and reframe them through a positive reinterpretation. To tackle this challenge, a two-fold approach is necessary: identifying cognitive distortio...
2404.09833
Hongchi Xia
Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
CVPR 2024. Project page (with code): https://video2game.github.io/
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Creating high-quality and interactive virtual environments, such as games and simulators, often involves complex and costly manual modeling processes. In this paper, we present Video2Game, a novel approach that automatically converts videos of real-world scenes into realistic and interactive game environments. At the...
[ { "created": "Mon, 15 Apr 2024 14:32:32 GMT", "version": "v1" } ]
2024-04-16
[ [ "Xia", "Hongchi", "" ], [ "Lin", "Zhi-Hao", "" ], [ "Ma", "Wei-Chiu", "" ], [ "Wang", "Shenlong", "" ] ]
Creating high-quality and interactive virtual environments, such as games and simulators, often involves complex and costly manual modeling processes. In this paper, we present Video2Game, a novel approach that automatically converts videos of real-world scenes into realistic and interactive game environments. At the h...
2301.05586
Bo Zhang
Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu
YOLOv6 v3.0: A Full-Scale Reloading
Tech Report. arXiv admin note: text overlap with arXiv:2209.02976
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The YOLO community has been in high spirits since our first two releases! By the advent of Chinese New Year 2023, which sees the Year of the Rabbit, we refurnish YOLOv6 with numerous novel enhancements on the network architecture and the training scheme. This release is identified as YOLOv6 v3.0. For a glimpse of per...
[ { "created": "Fri, 13 Jan 2023 14:46:46 GMT", "version": "v1" } ]
2023-01-16
[ [ "Li", "Chuyi", "" ], [ "Li", "Lulu", "" ], [ "Geng", "Yifei", "" ], [ "Jiang", "Hongliang", "" ], [ "Cheng", "Meng", "" ], [ "Zhang", "Bo", "" ], [ "Ke", "Zaidan", "" ], [ "Xu", "Xiaoming", ...
The YOLO community has been in high spirits since our first two releases! By the advent of Chinese New Year 2023, which sees the Year of the Rabbit, we refurnish YOLOv6 with numerous novel enhancements on the network architecture and the training scheme. This release is identified as YOLOv6 v3.0. For a glimpse of perfo...
2302.06746
Ruokai Yin
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks
11 pages. Accepted to IEEE Transactions on Emerging Topics in Computational Intelligence (2024)
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pruning for Spiking Neural Networks (SNNs) has emerged as a fundamental methodology for deploying deep SNNs on resource-constrained edge devices. Though the existing pruning methods can provide extremely high weight sparsity for deep SNNs, the high weight sparsity brings a workload imbalance problem. Specifically, th...
[ { "created": "Mon, 13 Feb 2023 23:18:47 GMT", "version": "v1" }, { "created": "Fri, 22 Mar 2024 19:53:37 GMT", "version": "v2" } ]
2024-03-26
[ [ "Yin", "Ruokai", "" ], [ "Kim", "Youngeun", "" ], [ "Li", "Yuhang", "" ], [ "Moitra", "Abhishek", "" ], [ "Satpute", "Nitin", "" ], [ "Hambitzer", "Anna", "" ], [ "Panda", "Priyadarshini", "" ] ]
Pruning for Spiking Neural Networks (SNNs) has emerged as a fundamental methodology for deploying deep SNNs on resource-constrained edge devices. Though the existing pruning methods can provide extremely high weight sparsity for deep SNNs, the high weight sparsity brings a workload imbalance problem. Specifically, the ...
2212.05830
Yachao Li Ph.D.
Yachao Li, Junhui Li, Jing Jiang, Shimin Tao, Hao Yang and Min Zhang
P-Transformer: Towards Better Document-to-Document Neural Machine Translation
Submitted to TASLP
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Directly training a document-to-document (Doc2Doc) neural machine translation (NMT) via Transformer from scratch, especially on small datasets usually fails to converge. Our dedicated probing tasks show that 1) both the absolute position and relative position information gets gradually weakened or even vanished once ...
[ { "created": "Mon, 12 Dec 2022 11:19:05 GMT", "version": "v1" } ]
2022-12-13
[ [ "Li", "Yachao", "" ], [ "Li", "Junhui", "" ], [ "Jiang", "Jing", "" ], [ "Tao", "Shimin", "" ], [ "Yang", "Hao", "" ], [ "Zhang", "Min", "" ] ]
Directly training a document-to-document (Doc2Doc) neural machine translation (NMT) via Transformer from scratch, especially on small datasets usually fails to converge. Our dedicated probing tasks show that 1) both the absolute position and relative position information gets gradually weakened or even vanished once it...
1610.09012
Kleinner Farias
Kleinner Farias
Empirical Evaluation of Effort on Composing Design Models
PhD thesis, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil, 2012 - Keywords: design models, UML, development effort, software modeling, aspect-oriented modeling, model merging, software merging, quality model, empirical studies
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Model composition plays a central role in many software engineering activities such as evolving models to add new features and reconciling conflicting design models developed in parallel by different development teams. As model composition is usually an error-prone and effort-consuming task, its potential benefits, s...
[ { "created": "Thu, 27 Oct 2016 20:51:55 GMT", "version": "v1" } ]
2016-10-31
[ [ "Farias", "Kleinner", "" ] ]
Model composition plays a central role in many software engineering activities such as evolving models to add new features and reconciling conflicting design models developed in parallel by different development teams. As model composition is usually an error-prone and effort-consuming task, its potential benefits, suc...
0805.0202
Joao Marques-Silva
Antonio Morgado, Joao Marques-Silva
A Pseudo-Boolean Solution to the Maximum Quartet Consistency Problem
null
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Determining the evolutionary history of a given biological data is an important task in biological sciences. Given a set of quartet topologies over a set of taxa, the Maximum Quartet Consistency (MQC) problem consists of computing a global phylogeny that satisfies the maximum number of quartets. A number of solutions...
[ { "created": "Fri, 2 May 2008 10:06:27 GMT", "version": "v1" } ]
2008-12-18
[ [ "Morgado", "Antonio", "" ], [ "Marques-Silva", "Joao", "" ] ]
Determining the evolutionary history of a given biological data is an important task in biological sciences. Given a set of quartet topologies over a set of taxa, the Maximum Quartet Consistency (MQC) problem consists of computing a global phylogeny that satisfies the maximum number of quartets. A number of solutions h...
2206.11335
Debesh Jha
Debesh Jha, Ashish Rauniyar, H{\aa}vard D. Johansen, Dag Johansen, Michael A. Riegler, P{\aa}l Halvorsen, Ulas Bagci
Video Analytics in Elite Soccer: A Distributed Computing Perspective
null
published IEEE SAM 2022
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance eva...
[ { "created": "Wed, 22 Jun 2022 19:25:28 GMT", "version": "v1" } ]
2022-06-24
[ [ "Jha", "Debesh", "" ], [ "Rauniyar", "Ashish", "" ], [ "Johansen", "Håvard D.", "" ], [ "Johansen", "Dag", "" ], [ "Riegler", "Michael A.", "" ], [ "Halvorsen", "Pål", "" ], [ "Bagci", "Ulas", "" ] ]
Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evalu...
2108.00439
Seongjin Choi
Zhixiong Jin, Jiwon Kim, Hwasoo Yeo, Seongjin Choi
Transformer-based Map Matching Model with Limited Ground-Truth Data using Transfer-Learning Approach
25 pages, 9 figures, 4 tables
null
10.1016/j.trc.2022.103668
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In many spatial trajectory-based applications, it is necessary to map raw trajectory data points onto road networks in digital maps, which is commonly referred to as a map-matching process. While most previous map-matching methods have focused on using rule-based algorithms to deal with the map-matching problems, in ...
[ { "created": "Sun, 1 Aug 2021 11:51:11 GMT", "version": "v1" }, { "created": "Tue, 3 Aug 2021 01:06:50 GMT", "version": "v2" }, { "created": "Thu, 30 Sep 2021 12:53:58 GMT", "version": "v3" }, { "created": "Thu, 7 Oct 2021 04:08:31 GMT", "version": "v4" } ]
2023-08-15
[ [ "Jin", "Zhixiong", "" ], [ "Kim", "Jiwon", "" ], [ "Yeo", "Hwasoo", "" ], [ "Choi", "Seongjin", "" ] ]
In many spatial trajectory-based applications, it is necessary to map raw trajectory data points onto road networks in digital maps, which is commonly referred to as a map-matching process. While most previous map-matching methods have focused on using rule-based algorithms to deal with the map-matching problems, in th...
2407.11784
Daoyuan Chen
Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development
26 pages, 9 figures, 5 tables
null
null
null
cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The emergence of large-scale multi-modal generative models has drastically advanced artificial intelligence, introducing unprecedented levels of performance and functionality. However, optimizing these models remains challenging due to historically isolated paths of model-centric and data-centric developments, leadin...
[ { "created": "Tue, 16 Jul 2024 14:40:07 GMT", "version": "v1" } ]
2024-07-17
[ [ "Chen", "Daoyuan", "" ], [ "Wang", "Haibin", "" ], [ "Huang", "Yilun", "" ], [ "Ge", "Ce", "" ], [ "Li", "Yaliang", "" ], [ "Ding", "Bolin", "" ], [ "Zhou", "Jingren", "" ] ]
The emergence of large-scale multi-modal generative models has drastically advanced artificial intelligence, introducing unprecedented levels of performance and functionality. However, optimizing these models remains challenging due to historically isolated paths of model-centric and data-centric developments, leading ...
1406.5946
Jan Broekaert
Lorena P\'erez-Garc\'ia, Jan Broekaert and Nicole Note
Is a `Wirikuta empowerment' of the Huichol measurable on the Internet?
14 pages, 1 figure, 4 graphs (submitted to journal)
Internet Research, 26, 5, 1269 - 1290 (2016)
10.1108/IntR-07-2014-0185
null
cs.SI cs.CY cs.IR physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current social and activist movements find the opportunity in social media to effectively impact on the agenda of governing bodies and create `global' perceptions -- it is often claimed. Content related to the social and activist movements is online, to be accessed, supported or disputed and distributed from virtuall...
[ { "created": "Mon, 23 Jun 2014 15:32:14 GMT", "version": "v1" } ]
2016-12-07
[ [ "Pérez-García", "Lorena", "" ], [ "Broekaert", "Jan", "" ], [ "Note", "Nicole", "" ] ]
Current social and activist movements find the opportunity in social media to effectively impact on the agenda of governing bodies and create `global' perceptions -- it is often claimed. Content related to the social and activist movements is online, to be accessed, supported or disputed and distributed from virtually ...
0805.2797
Mikl\'os Pint\'er
M. Pinter
Young's axiomatization of the Shapley value - a new proof
11 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider Young (1985)'s characterization of the Shapley value, and give a new proof of this axiomatization. Moreover, as applications of the new proof, we show that Young (1985)'s axiomatization of the Shapley value works on various well-known subclasses of TU games.
[ { "created": "Mon, 19 May 2008 07:11:04 GMT", "version": "v1" }, { "created": "Sun, 3 May 2009 09:53:25 GMT", "version": "v2" }, { "created": "Sat, 10 Mar 2012 13:32:00 GMT", "version": "v3" } ]
2012-03-13
[ [ "Pinter", "M.", "" ] ]
We consider Young (1985)'s characterization of the Shapley value, and give a new proof of this axiomatization. Moreover, as applications of the new proof, we show that Young (1985)'s axiomatization of the Shapley value works on various well-known subclasses of TU games.
1811.00212
Vipul Harsh
Vipul Harsh, Sangeetha Abdu Jyothi, Inderdeep Singh, P. Brighten Godfrey
Expander Datacenters: From Theory to Practice
15 pages, 17 figures
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work has shown that expander-based data center topologies are robust and can yield superior performance over Clos topologies. However, to achieve these benefits, previous proposals use routing and transport schemes that impede quick industry adoption. In this paper, we examine if expanders can be effective for...
[ { "created": "Thu, 1 Nov 2018 03:52:15 GMT", "version": "v1" } ]
2018-11-02
[ [ "Harsh", "Vipul", "" ], [ "Jyothi", "Sangeetha Abdu", "" ], [ "Singh", "Inderdeep", "" ], [ "Godfrey", "P. Brighten", "" ] ]
Recent work has shown that expander-based data center topologies are robust and can yield superior performance over Clos topologies. However, to achieve these benefits, previous proposals use routing and transport schemes that impede quick industry adoption. In this paper, we examine if expanders can be effective for t...
1606.04308
J\"urgen Leitner
Donald G. Dansereau, Anders Eriksson and J\"urgen Leitner
Richardson-Lucy Deblurring for Moving Light Field Cameras
Paper accepted for oral presentation at LF4CV workshop at CVPR
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur. The method deals correctly with blur caused by 6-degree-of-freedom camera motion in complex 3-D scenes, without performing depth estimation. We introduce a novel regularizati...
[ { "created": "Tue, 14 Jun 2016 10:57:34 GMT", "version": "v1" }, { "created": "Fri, 19 May 2017 08:20:54 GMT", "version": "v2" } ]
2017-05-22
[ [ "Dansereau", "Donald G.", "" ], [ "Eriksson", "Anders", "" ], [ "Leitner", "Jürgen", "" ] ]
We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur. The method deals correctly with blur caused by 6-degree-of-freedom camera motion in complex 3-D scenes, without performing depth estimation. We introduce a novel regularization...
2405.13427
Qiang Chen
Qiang Chen, Weizhong Yu, Feiping Nie, and Xuelong Li
Adaptive Fuzzy C-Means with Graph Embedding
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Fuzzy clustering algorithms can be roughly categorized into two main groups: Fuzzy C-Means (FCM) based methods and mixture model based methods. However, for almost all existing FCM based methods, how to automatically selecting proper membership degree hyper-parameter values remains a challenging and unsolved problem....
[ { "created": "Wed, 22 May 2024 08:15:50 GMT", "version": "v1" } ]
2024-05-24
[ [ "Chen", "Qiang", "" ], [ "Yu", "Weizhong", "" ], [ "Nie", "Feiping", "" ], [ "Li", "Xuelong", "" ] ]
Fuzzy clustering algorithms can be roughly categorized into two main groups: Fuzzy C-Means (FCM) based methods and mixture model based methods. However, for almost all existing FCM based methods, how to automatically selecting proper membership degree hyper-parameter values remains a challenging and unsolved problem. M...
2302.09325
Jie Li
Jie Li, Yi Liu, Xiaohu Tang, Yunghsiang S. Han, Bo Bai, and Gong Zhang
MDS Array Codes With (Near) Optimal Repair Bandwidth for All Admissible Repair Degrees
Submitted to the IEEE Transactions on Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abundant high-rate (n, k) minimum storage regenerating (MSR) codes have been reported in the literature. However, most of them require contacting all the surviving nodes during a node repair process, resulting in a repair degree of d=n-1. In practical systems, it may not always be feasible to connect and download dat...
[ { "created": "Sat, 18 Feb 2023 13:11:57 GMT", "version": "v1" }, { "created": "Sat, 27 May 2023 03:26:51 GMT", "version": "v2" } ]
2023-05-30
[ [ "Li", "Jie", "" ], [ "Liu", "Yi", "" ], [ "Tang", "Xiaohu", "" ], [ "Han", "Yunghsiang S.", "" ], [ "Bai", "Bo", "" ], [ "Zhang", "Gong", "" ] ]
Abundant high-rate (n, k) minimum storage regenerating (MSR) codes have been reported in the literature. However, most of them require contacting all the surviving nodes during a node repair process, resulting in a repair degree of d=n-1. In practical systems, it may not always be feasible to connect and download data ...
1612.02646
Federico Perazzi
Anna Khoreva, Federico Perazzi, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung
Learning Video Object Segmentation from Static Images
Submitted to CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inspired by recent advances of deep learning in instance segmentation and object tracking, we introduce video object segmentation problem as a concept of guided instance segmentation. Our model proceeds on a per-frame basis, guided by the output of the previous frame towards the object of interest in the next frame. ...
[ { "created": "Thu, 8 Dec 2016 13:59:18 GMT", "version": "v1" } ]
2019-02-05
[ [ "Khoreva", "Anna", "" ], [ "Perazzi", "Federico", "" ], [ "Benenson", "Rodrigo", "" ], [ "Schiele", "Bernt", "" ], [ "Sorkine-Hornung", "Alexander", "" ] ]
Inspired by recent advances of deep learning in instance segmentation and object tracking, we introduce video object segmentation problem as a concept of guided instance segmentation. Our model proceeds on a per-frame basis, guided by the output of the previous frame towards the object of interest in the next frame. We...
2203.11556
Sahil Sidheekh
Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu Balan, Maneesh K. Singh
VQ-Flows: Vector Quantized Local Normalizing Flows
Accepted to The 38th Conference on Uncertainty in Artificial Intelligence (UAI) 2022
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Normalizing flows provide an elegant approach to generative modeling that allows for efficient sampling and exact density evaluation of unknown data distributions. However, current techniques have significant limitations in their expressivity when the data distribution is supported on a low-dimensional manifold or ha...
[ { "created": "Tue, 22 Mar 2022 09:22:18 GMT", "version": "v1" }, { "created": "Sat, 18 Jun 2022 10:13:28 GMT", "version": "v2" } ]
2022-06-22
[ [ "Sidheekh", "Sahil", "" ], [ "Dock", "Chris B.", "" ], [ "Jain", "Tushar", "" ], [ "Balan", "Radu", "" ], [ "Singh", "Maneesh K.", "" ] ]
Normalizing flows provide an elegant approach to generative modeling that allows for efficient sampling and exact density evaluation of unknown data distributions. However, current techniques have significant limitations in their expressivity when the data distribution is supported on a low-dimensional manifold or has ...
1405.0637
Bryan Ford
Cristina B\u{a}sescu, Georgia Fragkouli, Enis Ceyhun Alp, Michael F. Nowlan, Jose M. Faleiro, Gaylor Bosson, Kelong Cong, Pierluca Bors\`o-Tan, Vero Estrada-Gali\~nanes, and Bryan Ford
Limiting Lamport Exposure to Distant Failures in Globally-Managed Distributed Systems
14 pages, 9 figures, 5 algorithms, 1 table
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Globalized computing infrastructures offer the convenience and elasticity of globally managed objects and services, but lack the resilience to distant failures that localized infrastructures such as private clouds provide. Providing both global management and resilience to distant failures, however, poses a fundament...
[ { "created": "Sun, 4 May 2014 00:35:25 GMT", "version": "v1" }, { "created": "Sat, 12 May 2018 09:21:09 GMT", "version": "v2" }, { "created": "Fri, 15 Jul 2022 16:06:21 GMT", "version": "v3" } ]
2022-07-18
[ [ "Băsescu", "Cristina", "" ], [ "Fragkouli", "Georgia", "" ], [ "Alp", "Enis Ceyhun", "" ], [ "Nowlan", "Michael F.", "" ], [ "Faleiro", "Jose M.", "" ], [ "Bosson", "Gaylor", "" ], [ "Cong", "Kelong", "" ...
Globalized computing infrastructures offer the convenience and elasticity of globally managed objects and services, but lack the resilience to distant failures that localized infrastructures such as private clouds provide. Providing both global management and resilience to distant failures, however, poses a fundamental...
2106.03937
Zabir Al Nazi
Zabir Al Nazi, Sayed Mohammed Tasmimul Huda
Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla
null
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Speech synthesis is one of the challenging tasks to automate by deep learning, also being a low-resource language there are very few attempts at Bangla speech synthesis. Most of the existing works can't work with anything other than simple Bangla characters script, very short sentences, etc. This work attempts to sol...
[ { "created": "Mon, 31 May 2021 20:39:35 GMT", "version": "v1" } ]
2021-06-09
[ [ "Nazi", "Zabir Al", "" ], [ "Huda", "Sayed Mohammed Tasmimul", "" ] ]
Speech synthesis is one of the challenging tasks to automate by deep learning, also being a low-resource language there are very few attempts at Bangla speech synthesis. Most of the existing works can't work with anything other than simple Bangla characters script, very short sentences, etc. This work attempts to solve...
2302.04515
Clement Pernet
Cl\'ement Pernet (CASC), Hippolyte Signargout (CASC, ARIC), Gilles Villard (ARIC)
Exact computations with quasiseparable matrices
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quasi-separable matrices are a class of rank-structured matriceswidely used in numerical linear algebra and of growing interestin computer algebra, with applications in e.g. the linearization ofpolynomial matrices. Various representation formats exist for thesematrices that have rarely been compared.We show how the m...
[ { "created": "Thu, 9 Feb 2023 09:17:18 GMT", "version": "v1" } ]
2023-02-10
[ [ "Pernet", "Clément", "", "CASC" ], [ "Signargout", "Hippolyte", "", "CASC, ARIC" ], [ "Villard", "Gilles", "", "ARIC" ] ]
Quasi-separable matrices are a class of rank-structured matriceswidely used in numerical linear algebra and of growing interestin computer algebra, with applications in e.g. the linearization ofpolynomial matrices. Various representation formats exist for thesematrices that have rarely been compared.We show how the mos...
1205.3663
Johannes Klaus Fichte
Johannes Klaus Fichte
The Good, the Bad, and the Odd: Cycles in Answer-Set Programs
null
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Backdoors of answer-set programs are sets of atoms that represent clever reasoning shortcuts through the search space. Assignments to backdoor atoms reduce the given program to several programs that belong to a tractable target class. Previous research has considered target classes based on notions of acyclicity wher...
[ { "created": "Wed, 15 Feb 2012 20:19:57 GMT", "version": "v1" } ]
2012-05-17
[ [ "Fichte", "Johannes Klaus", "" ] ]
Backdoors of answer-set programs are sets of atoms that represent clever reasoning shortcuts through the search space. Assignments to backdoor atoms reduce the given program to several programs that belong to a tractable target class. Previous research has considered target classes based on notions of acyclicity where ...
2004.13513
Arthur Douillard
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Accepted at ECCV 2020
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Lifelong learning has attracted much attention, but existing works still struggle to fight catastrophic forgetting and accumulate knowledge over long stretches of incremental learning. In this work, we propose PODNet, a model inspired by representation learning. By carefully balancing the compromise between rememberi...
[ { "created": "Tue, 28 Apr 2020 13:45:23 GMT", "version": "v1" }, { "created": "Tue, 21 Jul 2020 13:20:18 GMT", "version": "v2" }, { "created": "Tue, 6 Oct 2020 16:10:33 GMT", "version": "v3" } ]
2020-10-07
[ [ "Douillard", "Arthur", "" ], [ "Cord", "Matthieu", "" ], [ "Ollion", "Charles", "" ], [ "Robert", "Thomas", "" ], [ "Valle", "Eduardo", "" ] ]
Lifelong learning has attracted much attention, but existing works still struggle to fight catastrophic forgetting and accumulate knowledge over long stretches of incremental learning. In this work, we propose PODNet, a model inspired by representation learning. By carefully balancing the compromise between remembering...
2208.04066
Yash Deshpande
Yash Deshpande, Cedomir Stefanovic, H. Murat G\"ursu, Wolfgang Kellerer
On d-ary tree algorithms with successive interference cancellation
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we outline the approach for the derivation of the length of the collision resolution interval for d-ary tree algorithms (TA) with gated access and successive interference cancellation (SIC), conditioned on the number of the contending users. This is the basic performance parameter for TA with gated acc...
[ { "created": "Mon, 8 Aug 2022 11:32:37 GMT", "version": "v1" } ]
2022-08-09
[ [ "Deshpande", "Yash", "" ], [ "Stefanovic", "Cedomir", "" ], [ "Gürsu", "H. Murat", "" ], [ "Kellerer", "Wolfgang", "" ] ]
In this paper, we outline the approach for the derivation of the length of the collision resolution interval for d-ary tree algorithms (TA) with gated access and successive interference cancellation (SIC), conditioned on the number of the contending users. This is the basic performance parameter for TA with gated acces...
0901.3906
Manuel Carro
Pablo Chico de Guzman, Manuel Carro, Manuel V. Hermenegildo
A Program Transformation for Continuation Call-Based Tabled Execution
Part of the proceedings of CICLOPS 2008
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The advantages of tabled evaluation regarding program termination and reduction of complexity are well known --as are the significant implementation, portability, and maintenance efforts that some proposals (especially those based on suspension) require. This implementation effort is reduced by program transformation...
[ { "created": "Sun, 25 Jan 2009 15:40:48 GMT", "version": "v1" } ]
2009-01-27
[ [ "de Guzman", "Pablo Chico", "" ], [ "Carro", "Manuel", "" ], [ "Hermenegildo", "Manuel V.", "" ] ]
The advantages of tabled evaluation regarding program termination and reduction of complexity are well known --as are the significant implementation, portability, and maintenance efforts that some proposals (especially those based on suspension) require. This implementation effort is reduced by program transformation-b...
1907.03777
Matthias Frey
Igor Bjelakovic, Matthias Frey, Slawomir Stanczak
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem
null
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, September 24-27, 2019, pp. 1146-1153
10.1109/ALLERTON.2019.8919875
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, we consider the problem of distributed approximation of functions over multiple-access channels with additive noise. In contrast to previous works, we take fast fading into account and give explicit probability bounds for the approximation error allowing us to derive bounds on the number of channel uses...
[ { "created": "Mon, 8 Jul 2019 18:00:09 GMT", "version": "v1" }, { "created": "Sat, 21 Sep 2019 12:15:08 GMT", "version": "v2" } ]
2021-03-01
[ [ "Bjelakovic", "Igor", "" ], [ "Frey", "Matthias", "" ], [ "Stanczak", "Slawomir", "" ] ]
In this work, we consider the problem of distributed approximation of functions over multiple-access channels with additive noise. In contrast to previous works, we take fast fading into account and give explicit probability bounds for the approximation error allowing us to derive bounds on the number of channel uses t...
2208.08767
Tommie Kerssies
Tommie Kerssies, Mert K{\i}l{\i}\c{c}kaya and Joaquin Vanschoren
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, our goal is to adapt a pre-trained convolutional neural network to domain shifts at test time. We do so continually with the incoming stream of test batches, without labels. The existing literature mostly operates on artificial shifts obtained via adversarial perturbations of a test image. Motivated by...
[ { "created": "Thu, 18 Aug 2022 11:05:55 GMT", "version": "v1" }, { "created": "Sun, 12 Mar 2023 21:34:05 GMT", "version": "v2" } ]
2023-03-14
[ [ "Kerssies", "Tommie", "" ], [ "Kılıçkaya", "Mert", "" ], [ "Vanschoren", "Joaquin", "" ] ]
In this paper, our goal is to adapt a pre-trained convolutional neural network to domain shifts at test time. We do so continually with the incoming stream of test batches, without labels. The existing literature mostly operates on artificial shifts obtained via adversarial perturbations of a test image. Motivated by t...
2109.02485
Samarth Bhatia
Samarth Bhatia (1), Yukti Makhija (1), Sneha Jayaswal (3), Shalendra Singh (2), Ishaan Gupta (1) ((1) Indian Institute of Technology, Delhi, (2) Armed Forces Medical College, Pune, (3) Christian Medical College Ludhiana)
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients
31 pages, 6 figures, 8 tables. The first two authors (SB and YM) have equal contribution. IG is the corresponding author (ishaan@iitd.ac.in) Changes: Author List updated
null
null
null
cs.LG q-bio.PE
http://creativecommons.org/licenses/by/4.0/
As the second wave in India mitigates, COVID-19 has now infected about 29 million patients countrywide, leading to more than 350 thousand people dead. As the infections surged, the strain on the medical infrastructure in the country became apparent. While the country vaccinates its population, opening up the economy ...
[ { "created": "Thu, 2 Sep 2021 23:15:04 GMT", "version": "v1" }, { "created": "Sat, 23 Oct 2021 18:53:34 GMT", "version": "v2" } ]
2021-10-26
[ [ "Bhatia", "Samarth", "" ], [ "Makhija", "Yukti", "" ], [ "Jayaswal", "Sneha", "" ], [ "Singh", "Shalendra", "" ], [ "Gupta", "Ishaan", "" ] ]
As the second wave in India mitigates, COVID-19 has now infected about 29 million patients countrywide, leading to more than 350 thousand people dead. As the infections surged, the strain on the medical infrastructure in the country became apparent. While the country vaccinates its population, opening up the economy ma...
2304.14471
Kangning Liu
Kangning Liu, Yu-Chuan Su, Wei (Alex) Hong, Ruijin Cang, Xuhui Jia
Controllable One-Shot Face Video Synthesis With Semantic Aware Prior
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame. Recent methods rely on warping the appearance feature extracted from the source, by using motion fields estimated from the sparse keypoints, that are learned in an unsupervised...
[ { "created": "Thu, 27 Apr 2023 19:17:13 GMT", "version": "v1" } ]
2023-05-01
[ [ "Liu", "Kangning", "", "Alex" ], [ "Su", "Yu-Chuan", "", "Alex" ], [ "Wei", "", "", "Alex" ], [ "Hong", "", "" ], [ "Cang", "Ruijin", "" ], [ "Jia", "Xuhui", "" ] ]
The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame. Recent methods rely on warping the appearance feature extracted from the source, by using motion fields estimated from the sparse keypoints, that are learned in an unsupervised m...
2401.12051
Dimitrije Anti\'c
Dimitrije Anti\'c, Garvita Tiwari, Batuhan Ozcomlekci, Riccardo Marin, Gerard Pons-Moll
CloSe: A 3D Clothing Segmentation Dataset and Model
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
3D Clothing modeling and datasets play crucial role in the entertainment, animation, and digital fashion industries. Existing work often lacks detailed semantic understanding or uses synthetic datasets, lacking realism and personalization. To address this, we first introduce CloSe-D: a novel large-scale dataset conta...
[ { "created": "Mon, 22 Jan 2024 15:42:21 GMT", "version": "v1" } ]
2024-01-23
[ [ "Antić", "Dimitrije", "" ], [ "Tiwari", "Garvita", "" ], [ "Ozcomlekci", "Batuhan", "" ], [ "Marin", "Riccardo", "" ], [ "Pons-Moll", "Gerard", "" ] ]
3D Clothing modeling and datasets play crucial role in the entertainment, animation, and digital fashion industries. Existing work often lacks detailed semantic understanding or uses synthetic datasets, lacking realism and personalization. To address this, we first introduce CloSe-D: a novel large-scale dataset contain...
1805.09549
Iran Ramezanipour
Iran Ramezanipour, Parisa Nouri, Hirley Alves, Pedro J. H. Nardelli, Richard Demo Souza and Ari Pouttu
Finite Blocklength Communications in Smart Grids for Dynamic Spectrum Access and Locally Licensed Scenarios
The manuscript has been accepted for publication in IEEE sensors journal, 2018
null
10.1109/JSEN.2018.2835571
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work focuses on the performance analysis of short blocklength communication with application in smart grids. We use stochastic geometry to compute in closed form the success probability of a typical message transmission as a function of its size (i.e. blocklength), the number of information bits and the density ...
[ { "created": "Thu, 24 May 2018 08:34:39 GMT", "version": "v1" } ]
2018-05-25
[ [ "Ramezanipour", "Iran", "" ], [ "Nouri", "Parisa", "" ], [ "Alves", "Hirley", "" ], [ "Nardelli", "Pedro J. H.", "" ], [ "Souza", "Richard Demo", "" ], [ "Pouttu", "Ari", "" ] ]
This work focuses on the performance analysis of short blocklength communication with application in smart grids. We use stochastic geometry to compute in closed form the success probability of a typical message transmission as a function of its size (i.e. blocklength), the number of information bits and the density of...
1712.09652
Huizhen Yu
Huizhen Yu
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning
Revised technical report; added Section 4.2.4 and Section 4.3; 86 pages
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider off-policy temporal-difference (TD) learning methods for policy evaluation in Markov decision processes with finite spaces and discounted reward criteria, and we present a collection of convergence results for several gradient-based TD algorithms with linear function approximation. The algorithms we analy...
[ { "created": "Wed, 27 Dec 2017 18:43:21 GMT", "version": "v1" }, { "created": "Wed, 28 Mar 2018 22:41:33 GMT", "version": "v2" } ]
2018-03-30
[ [ "Yu", "Huizhen", "" ] ]
We consider off-policy temporal-difference (TD) learning methods for policy evaluation in Markov decision processes with finite spaces and discounted reward criteria, and we present a collection of convergence results for several gradient-based TD algorithms with linear function approximation. The algorithms we analyze...
cs/9809006
Jim Gray
Werner Vogels, Dan Dumitriu, Ken Birman, Rod Gamache, Mike Massa, Rob Short, John Vert, Joe Barrera
The Design and Architecture of the Microsoft Cluster Service -- A Practical Approach to High-Availability and Scalability
Original document at: http://research.microsoft.com/~gray/MSCS_FTCS98.doc
Proceedings of FTCS'98, June 23-25, 1998 in Munich, Germany
null
Microsoft Research MSR-TR-98-16
cs.OS cs.DC
null
Microsoft Cluster Service (MSCS) extends the Win-dows NT operating system to support high-availability services. The goal is to offer an execution environment where off-the-shelf server applications can continue to operate, even in the presence of node failures. Later ver-sions of MSCS will provide scalability via a ...
[ { "created": "Wed, 2 Sep 1998 17:11:54 GMT", "version": "v1" } ]
2007-05-23
[ [ "Vogels", "Werner", "" ], [ "Dumitriu", "Dan", "" ], [ "Birman", "Ken", "" ], [ "Gamache", "Rod", "" ], [ "Massa", "Mike", "" ], [ "Short", "Rob", "" ], [ "Vert", "John", "" ], [ "Barrera", "Joe...
Microsoft Cluster Service (MSCS) extends the Win-dows NT operating system to support high-availability services. The goal is to offer an execution environment where off-the-shelf server applications can continue to operate, even in the presence of node failures. Later ver-sions of MSCS will provide scalability via a no...
2211.06196
Alexander Fabbri
Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
EMNLP 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State-of-the-art summarization models still struggle to be factually consistent with the input text. A model-agnostic way to address this problem is post-editing the generated summaries. However, existing approaches typically fail to remove entity errors if a suitable input entity replacement is not available or may ...
[ { "created": "Fri, 11 Nov 2022 13:35:38 GMT", "version": "v1" } ]
2022-11-14
[ [ "Fabbri", "Alexander R.", "" ], [ "Choubey", "Prafulla Kumar", "" ], [ "Vig", "Jesse", "" ], [ "Wu", "Chien-Sheng", "" ], [ "Xiong", "Caiming", "" ] ]
State-of-the-art summarization models still struggle to be factually consistent with the input text. A model-agnostic way to address this problem is post-editing the generated summaries. However, existing approaches typically fail to remove entity errors if a suitable input entity replacement is not available or may in...
2405.04714
Kyle Stachowicz
Kyle Stachowicz and Sergey Levine
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
In review, RSS 2024
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Reinforcement learning provides an appealing framework for robotic control due to its ability to learn expressive policies purely through real-world interaction. However, this requires addressing real-world constraints and avoiding catastrophic failures during training, which might severely impede both learning progr...
[ { "created": "Tue, 7 May 2024 23:32:36 GMT", "version": "v1" } ]
2024-05-09
[ [ "Stachowicz", "Kyle", "" ], [ "Levine", "Sergey", "" ] ]
Reinforcement learning provides an appealing framework for robotic control due to its ability to learn expressive policies purely through real-world interaction. However, this requires addressing real-world constraints and avoiding catastrophic failures during training, which might severely impede both learning progres...
1905.03585
Tamara Radivilova A
Igor Ivanisenko and Lyudmyla Kirichenko and Tamara Radivilova
Investigation of Multifractal Properties of Additive Data Stream
4 pages, 5 figures, 7 equations. arXiv admin note: text overlap with arXiv:1904.05925
2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), Lviv, 2016, pp. 305-308
10.1109/DSMP.2016.7583564
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The work presents results of a numerical study of fractal characteristics of multifractal stream at addition of stream, which does not have multifractal properties. They showed that the generalized Hurst exponent of total stream tends to one of original multifractal stream with increase in signal/noise ratio.
[ { "created": "Tue, 16 Apr 2019 11:32:42 GMT", "version": "v1" } ]
2019-05-10
[ [ "Ivanisenko", "Igor", "" ], [ "Kirichenko", "Lyudmyla", "" ], [ "Radivilova", "Tamara", "" ] ]
The work presents results of a numerical study of fractal characteristics of multifractal stream at addition of stream, which does not have multifractal properties. They showed that the generalized Hurst exponent of total stream tends to one of original multifractal stream with increase in signal/noise ratio.
2311.05608
Yichen Gong
Yichen Gong and Delong Ran and Jinyuan Liu and Conglei Wang and Tianshuo Cong and Anyu Wang and Sisi Duan and Xiaoyun Wang
FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts
Technical Report
null
null
null
cs.CR cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Ensuring the safety of artificial intelligence-generated content (AIGC) is a longstanding topic in the artificial intelligence (AI) community, and the safety concerns associated with Large Language Models (LLMs) have been widely investigated. Recently, large vision-language models (VLMs) represent an unprecedented re...
[ { "created": "Thu, 9 Nov 2023 18:59:11 GMT", "version": "v1" }, { "created": "Wed, 13 Dec 2023 17:54:16 GMT", "version": "v2" } ]
2023-12-14
[ [ "Gong", "Yichen", "" ], [ "Ran", "Delong", "" ], [ "Liu", "Jinyuan", "" ], [ "Wang", "Conglei", "" ], [ "Cong", "Tianshuo", "" ], [ "Wang", "Anyu", "" ], [ "Duan", "Sisi", "" ], [ "Wang", "Xiaoy...
Ensuring the safety of artificial intelligence-generated content (AIGC) is a longstanding topic in the artificial intelligence (AI) community, and the safety concerns associated with Large Language Models (LLMs) have been widely investigated. Recently, large vision-language models (VLMs) represent an unprecedented revo...
1105.6358
Ali Al Khouri Dr.
Ali M. Al-Khouri
An Innovative Approach for E-Government Transformation
22 Pages, 15 figures, 5 tables
International Journal of Managing Value and Supply Chains (IJMVSC) Vol. 2, No. 1, March 2011
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite the immeasurable investment in e-government initiatives throughout the world, such initiatives have yet to succeed in fully meeting expectations and desired outcomes. A key objective of this research article is to support the government of the UAE in realizing its vision of e-government transformation. It pre...
[ { "created": "Tue, 31 May 2011 18:41:10 GMT", "version": "v1" } ]
2011-06-01
[ [ "Al-Khouri", "Ali M.", "" ] ]
Despite the immeasurable investment in e-government initiatives throughout the world, such initiatives have yet to succeed in fully meeting expectations and desired outcomes. A key objective of this research article is to support the government of the UAE in realizing its vision of e-government transformation. It prese...
1802.09355
Shaoshan Liu
Jie Tang, Shaoshan Liu, Songwen Pei, Stephane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot
Teaching Autonomous Driving Using a Modular and Integrated Approach
null
null
null
null
cs.CY cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous driving is not one single technology but rather a complex system integrating many technologies, which means that teaching autonomous driving is a challenging task. Indeed, most existing autonomous driving classes focus on one of the technologies involved. This not only fails to provide a comprehensive cove...
[ { "created": "Thu, 22 Feb 2018 04:01:51 GMT", "version": "v1" }, { "created": "Tue, 27 Feb 2018 01:50:31 GMT", "version": "v2" } ]
2018-02-28
[ [ "Tang", "Jie", "" ], [ "Liu", "Shaoshan", "" ], [ "Pei", "Songwen", "" ], [ "Zuckerman", "Stephane", "" ], [ "Liu", "Chen", "" ], [ "Shi", "Weisong", "" ], [ "Gaudiot", "Jean-Luc", "" ] ]
Autonomous driving is not one single technology but rather a complex system integrating many technologies, which means that teaching autonomous driving is a challenging task. Indeed, most existing autonomous driving classes focus on one of the technologies involved. This not only fails to provide a comprehensive covera...
1502.04861
Marius Pesavento
Adrian Schad, Ka L. Law, Marius Pesavento
Rank-Two Beamforming and Power Allocation in Multicasting Relay Networks
null
null
10.1109/TSP.2015.2423255
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a novel single-group multicasting relay beamforming scheme. We assume a source that transmits common messages via multiple amplify-and-forward relays to multiple destinations. To increase the number of degrees of freedom in the beamforming design, the relays process two received signals join...
[ { "created": "Tue, 17 Feb 2015 11:12:29 GMT", "version": "v1" } ]
2023-07-19
[ [ "Schad", "Adrian", "" ], [ "Law", "Ka L.", "" ], [ "Pesavento", "Marius", "" ] ]
In this paper, we propose a novel single-group multicasting relay beamforming scheme. We assume a source that transmits common messages via multiple amplify-and-forward relays to multiple destinations. To increase the number of degrees of freedom in the beamforming design, the relays process two received signals jointl...
2404.06433
B.Sundar Rajan
Mallikharjuna Chinnapadamala, Charul Rajput and B. Sundar Rajan
A New Hotplug Coded Caching Scheme Using PDAs
8 pages, 4 figures and 1 table. arXiv admin note: text overlap with arXiv:2311.02856
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the original coded caching model introduced by Maddah-Ali and Niesen in 2014, the server starts broadcasting only after it receives demands from all the users. So, all the users must be active during the delivery phase. In this work, we consider a coded caching model called hotplug coded caching in which some of t...
[ { "created": "Tue, 9 Apr 2024 16:25:06 GMT", "version": "v1" } ]
2024-04-10
[ [ "Chinnapadamala", "Mallikharjuna", "" ], [ "Rajput", "Charul", "" ], [ "Rajan", "B. Sundar", "" ] ]
In the original coded caching model introduced by Maddah-Ali and Niesen in 2014, the server starts broadcasting only after it receives demands from all the users. So, all the users must be active during the delivery phase. In this work, we consider a coded caching model called hotplug coded caching in which some of the...
2309.04703
Jinbo Wen
Jinbo Wen, Jiawen Kang, Zehui Xiong, Yang Zhang, Hongyang Du, Yutao Jiao, Dusit Niyato
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses
null
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelligent transportation systems. Vehicles access the vehicular metaverses by their own Vehicle Twins (VTs) (e.g., avatars) that resource-limit...
[ { "created": "Sat, 9 Sep 2023 07:08:17 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2023 15:41:14 GMT", "version": "v2" } ]
2023-09-13
[ [ "Wen", "Jinbo", "" ], [ "Kang", "Jiawen", "" ], [ "Xiong", "Zehui", "" ], [ "Zhang", "Yang", "" ], [ "Du", "Hongyang", "" ], [ "Jiao", "Yutao", "" ], [ "Niyato", "Dusit", "" ] ]
Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelligent transportation systems. Vehicles access the vehicular metaverses by their own Vehicle Twins (VTs) (e.g., avatars) that resource-limited...
1811.03754
Duong Nguyen
Duong Nguyen Anh, Hieu Nguyen Kiem, Vi Ngo Van
Neural sequence labeling for Vietnamese POS Tagging and NER
5 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper presents a neural architecture for Vietnamese sequence labeling tasks including part-of-speech (POS) tagging and named entity recognition (NER). We applied the model described in \cite{lample-EtAl:2016:N16-1} that is a combination of bidirectional Long-Short Term Memory and Conditional Random Fields, which...
[ { "created": "Fri, 9 Nov 2018 03:15:23 GMT", "version": "v1" }, { "created": "Mon, 12 Nov 2018 13:23:15 GMT", "version": "v2" } ]
2018-11-13
[ [ "Anh", "Duong Nguyen", "" ], [ "Kiem", "Hieu Nguyen", "" ], [ "Van", "Vi Ngo", "" ] ]
This paper presents a neural architecture for Vietnamese sequence labeling tasks including part-of-speech (POS) tagging and named entity recognition (NER). We applied the model described in \cite{lample-EtAl:2016:N16-1} that is a combination of bidirectional Long-Short Term Memory and Conditional Random Fields, which r...
1602.05257
Deovrat Kakde
Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong, Maria Jahja, Hansi Jiang, Jorge Silva
Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description
null
null
10.1109/ICPHM.2017.7998302
null
cs.LG stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Support Vector Data Description (SVDD) is a machine-learning technique used for single class classification and outlier detection. SVDD formulation with kernel function provides a flexible boundary around data. The value of kernel function parameters affects the nature of the data boundary. For example, it is observe...
[ { "created": "Wed, 17 Feb 2016 00:51:18 GMT", "version": "v1" }, { "created": "Wed, 11 May 2016 21:39:53 GMT", "version": "v2" }, { "created": "Tue, 8 Aug 2017 18:00:45 GMT", "version": "v3" } ]
2017-09-06
[ [ "Kakde", "Deovrat", "" ], [ "Chaudhuri", "Arin", "" ], [ "Kong", "Seunghyun", "" ], [ "Jahja", "Maria", "" ], [ "Jiang", "Hansi", "" ], [ "Silva", "Jorge", "" ] ]
Support Vector Data Description (SVDD) is a machine-learning technique used for single class classification and outlier detection. SVDD formulation with kernel function provides a flexible boundary around data. The value of kernel function parameters affects the nature of the data boundary. For example, it is observed ...
2005.02940
Remi Geraud-Stewart
Marc Beunardeau, \'Eric Brier, No\'emie Cartier, Aisling Connolly, Nathana\"el Courant, R\'emi G\'eraud-Stewart, David Naccache, Ofer Yifrach-Stav
Optimal Covid-19 Pool Testing with a priori Information
null
null
null
null
cs.AI cs.DM q-bio.QM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As humanity struggles to contain the global Covid-19 infection, prophylactic actions are grandly slowed down by the shortage of testing kits. Governments have taken several measures to work around this shortage: the FDA has become more liberal on the approval of Covid-19 tests in the US. In the UK emergency measures ...
[ { "created": "Wed, 6 May 2020 17:08:56 GMT", "version": "v1" }, { "created": "Mon, 11 May 2020 09:25:25 GMT", "version": "v2" } ]
2020-05-12
[ [ "Beunardeau", "Marc", "" ], [ "Brier", "Éric", "" ], [ "Cartier", "Noémie", "" ], [ "Connolly", "Aisling", "" ], [ "Courant", "Nathanaël", "" ], [ "Géraud-Stewart", "Rémi", "" ], [ "Naccache", "David", "" ...
As humanity struggles to contain the global Covid-19 infection, prophylactic actions are grandly slowed down by the shortage of testing kits. Governments have taken several measures to work around this shortage: the FDA has become more liberal on the approval of Covid-19 tests in the US. In the UK emergency measures al...
2303.09564
Jiayi Wei
Jiayi Wei, Greg Durrett, Isil Dillig
TypeT5: Seq2seq Type Inference using Static Analysis
Published as a conference paper at ICLR 2023
null
null
null
cs.SE cs.LG cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been growing interest in automatically predicting missing type annotations in programs written in Python and JavaScript. While prior methods have achieved impressive accuracy when predicting the most common types, they often perform poorly on rare or complex types. In this paper, we present a new type infer...
[ { "created": "Thu, 16 Mar 2023 23:48:00 GMT", "version": "v1" } ]
2023-03-20
[ [ "Wei", "Jiayi", "" ], [ "Durrett", "Greg", "" ], [ "Dillig", "Isil", "" ] ]
There has been growing interest in automatically predicting missing type annotations in programs written in Python and JavaScript. While prior methods have achieved impressive accuracy when predicting the most common types, they often perform poorly on rare or complex types. In this paper, we present a new type inferen...
2403.09326
Duotun Wang
Duotun Wang, Hengyu Meng, Zeyu Cai, Zhijing Shao, Qianxi Liu, Lin Wang, Mingming Fan, Xiaohang Zhan, Zeyu Wang
HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation
12 pages, 17 figures
null
null
null
cs.GR cs.AI
http://creativecommons.org/licenses/by/4.0/
We present HeadEvolver, a novel framework to generate stylized head avatars from text guidance. HeadEvolver uses locally learnable mesh deformation from a template head mesh, producing high-quality digital assets for detail-preserving editing and animation. To tackle the challenges of lacking fine-grained and semanti...
[ { "created": "Thu, 14 Mar 2024 12:15:23 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 04:50:36 GMT", "version": "v2" } ]
2024-06-11
[ [ "Wang", "Duotun", "" ], [ "Meng", "Hengyu", "" ], [ "Cai", "Zeyu", "" ], [ "Shao", "Zhijing", "" ], [ "Liu", "Qianxi", "" ], [ "Wang", "Lin", "" ], [ "Fan", "Mingming", "" ], [ "Zhan", "Xiaohang...
We present HeadEvolver, a novel framework to generate stylized head avatars from text guidance. HeadEvolver uses locally learnable mesh deformation from a template head mesh, producing high-quality digital assets for detail-preserving editing and animation. To tackle the challenges of lacking fine-grained and semantic-...
2004.05712
Chiranjeeb Buragohain
Chiranjeeb Buragohain, Knut Magne Risvik, Paul Brett, Miguel Castro, Wonhee Cho, Joshua Cowhig, Nikolas Gloy, Karthik Kalyanaraman, Richendra Khanna, John Pao, Matthew Renzelmann, Alex Shamis, Timothy Tan and Shuheng Zheng
A1: A Distributed In-Memory Graph Database
null
null
10.1145/3318464.3386135
null
cs.DB cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A1 is an in-memory distributed database used by the Bing search engine to support complex queries over structured data. The key enablers for A1 are availability of cheap DRAM and high speed RDMA (Remote Direct Memory Access) networking in commodity hardware. A1 uses FaRM as its underlying storage layer and builds the...
[ { "created": "Sun, 12 Apr 2020 22:58:46 GMT", "version": "v1" } ]
2020-04-14
[ [ "Buragohain", "Chiranjeeb", "" ], [ "Risvik", "Knut Magne", "" ], [ "Brett", "Paul", "" ], [ "Castro", "Miguel", "" ], [ "Cho", "Wonhee", "" ], [ "Cowhig", "Joshua", "" ], [ "Gloy", "Nikolas", "" ], [ ...
A1 is an in-memory distributed database used by the Bing search engine to support complex queries over structured data. The key enablers for A1 are availability of cheap DRAM and high speed RDMA (Remote Direct Memory Access) networking in commodity hardware. A1 uses FaRM as its underlying storage layer and builds the g...
1906.02353
Yi Ren
Yi Ren, Donald Goldfarb
Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present practical Levenberg-Marquardt variants of Gauss-Newton and natural gradient methods for solving non-convex optimization problems that arise in training deep neural networks involving enormous numbers of variables and huge data sets. Our methods use subsampled Gauss-Newton or Fisher information matrices and...
[ { "created": "Wed, 5 Jun 2019 23:13:42 GMT", "version": "v1" } ]
2019-06-07
[ [ "Ren", "Yi", "" ], [ "Goldfarb", "Donald", "" ] ]
We present practical Levenberg-Marquardt variants of Gauss-Newton and natural gradient methods for solving non-convex optimization problems that arise in training deep neural networks involving enormous numbers of variables and huge data sets. Our methods use subsampled Gauss-Newton or Fisher information matrices and e...
1512.01375
Veerle Timmermans
Tobias Harks, Veerle Timmermans
Uniqueness of Equilibria in Atomic Splittable Polymatroid Congestion Games
17 pages
null
null
null
cs.GT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study uniqueness of Nash equilibria in atomic splittable congestion games and derive a uniqueness result based on polymatroid theory: when the strategy space of every player is a bidirectional flow polymatroid, then equilibria are unique. Bidirectional flow polymatroids are introduced as a subclass of polymatroids...
[ { "created": "Fri, 4 Dec 2015 11:25:25 GMT", "version": "v1" }, { "created": "Tue, 8 Mar 2016 09:19:22 GMT", "version": "v2" }, { "created": "Wed, 8 Aug 2018 07:01:46 GMT", "version": "v3" } ]
2018-08-09
[ [ "Harks", "Tobias", "" ], [ "Timmermans", "Veerle", "" ] ]
We study uniqueness of Nash equilibria in atomic splittable congestion games and derive a uniqueness result based on polymatroid theory: when the strategy space of every player is a bidirectional flow polymatroid, then equilibria are unique. Bidirectional flow polymatroids are introduced as a subclass of polymatroids p...
1202.4050
Nishant Mehta
Nishant A. Mehta and Alexander G. Gray
On the Sample Complexity of Predictive Sparse Coding
Sparse Coding Stability Theorem from version 1 has been relaxed considerably using a new notion of coding margin. Old Sparse Coding Stability Theorem still in new version, now as Theorem 2. Presentation of all proofs simplified/improved considerably. Paper reorganized. Empirical analysis showing new coding marg...
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of predictive sparse coding is to learn a representation of examples as sparse linear combinations of elements from a dictionary, such that a learned hypothesis linear in the new representation performs well on a predictive task. Predictive sparse coding algorithms recently have demonstrated impressive perfo...
[ { "created": "Sat, 18 Feb 2012 02:28:49 GMT", "version": "v1" }, { "created": "Mon, 8 Oct 2012 00:07:13 GMT", "version": "v2" } ]
2012-10-09
[ [ "Mehta", "Nishant A.", "" ], [ "Gray", "Alexander G.", "" ] ]
The goal of predictive sparse coding is to learn a representation of examples as sparse linear combinations of elements from a dictionary, such that a learned hypothesis linear in the new representation performs well on a predictive task. Predictive sparse coding algorithms recently have demonstrated impressive perform...
2309.12510
Yunye Gong
Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda Gervasio
Confidence Calibration for Systems with Cascaded Predictive Modules
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Existing conformal prediction algorithms estimate prediction intervals at target confidence levels to characterize the performance of a regression model on new test samples. However, considering an autonomous system consisting of multiple modules, prediction intervals constructed for individual modules fall short of ...
[ { "created": "Thu, 21 Sep 2023 22:12:24 GMT", "version": "v1" } ]
2023-09-25
[ [ "Gong", "Yunye", "" ], [ "Yao", "Yi", "" ], [ "Lin", "Xiao", "" ], [ "Divakaran", "Ajay", "" ], [ "Gervasio", "Melinda", "" ] ]
Existing conformal prediction algorithms estimate prediction intervals at target confidence levels to characterize the performance of a regression model on new test samples. However, considering an autonomous system consisting of multiple modules, prediction intervals constructed for individual modules fall short of ac...
1502.04044
Mohamed Hamid
Mohamed Hamid, Slimane Ben Slimane, and Niclas Bj\"orsell
Downlink Throughput Driven Channel Access Framework for Cognitive LTE Femto-Cells
30 pages, 11 figures. Submitted to IEEE Transactions on Wireless Communications for review
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes an optimized sensing based channel access framework for the LTE cognitive femto-cells, with an objective of maximizing the femto-cells downlink throughput. Cognitive femto-cells opportunistically transmit on the macro-cell channels when they are free of use. Those free channels are located by mean...
[ { "created": "Fri, 13 Feb 2015 16:18:25 GMT", "version": "v1" } ]
2015-02-16
[ [ "Hamid", "Mohamed", "" ], [ "Slimane", "Slimane Ben", "" ], [ "Björsell", "Niclas", "" ] ]
This paper proposes an optimized sensing based channel access framework for the LTE cognitive femto-cells, with an objective of maximizing the femto-cells downlink throughput. Cognitive femto-cells opportunistically transmit on the macro-cell channels when they are free of use. Those free channels are located by means ...
1806.00429
Claudia Flores-Saviaga
Claudia Flores-Saviaga (1), Brian C. Keegan (2), Saiph Savage (1 and 3) ((1) West Virginia University, (2) University of Colorado Boulder, (3) Universidad Nacional Autonoma de Mexico (UNAM))
Mobilizing the Trump Train: Understanding Collective Action in a Political Trolling Community
null
International 12th AAAI Conference on Web and Social Media (ICWSM 2018)
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Political trolls initiate online discord not only for the lulz (laughs) but also for ideological reasons, such as promoting their desired political candidates. Political troll groups recently gained spotlight because they were considered central in helping Donald Trump win the 2016 US presidential election, which inv...
[ { "created": "Fri, 1 Jun 2018 16:35:42 GMT", "version": "v1" } ]
2018-06-04
[ [ "Flores-Saviaga", "Claudia", "", "1 and\n 3" ], [ "Keegan", "Brian C.", "", "1 and\n 3" ], [ "Savage", "Saiph", "", "1 and\n 3" ] ]
Political trolls initiate online discord not only for the lulz (laughs) but also for ideological reasons, such as promoting their desired political candidates. Political troll groups recently gained spotlight because they were considered central in helping Donald Trump win the 2016 US presidential election, which invol...
2211.07923
Mitsunori Ogihara
Mitsunori Ogihara and Kei Uchizawa
A Theory for Discrete-time Boolean Finite Dynamical Systems with Uncertainty
37 pages
null
null
null
cs.CC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Dynamical Systems is a field that studies the collective behavior of objects that update their states according to some rules. Discrete-time Boolean Finite Dynamical System (DT-BFDS) is a subfield where the systems have some finite number of objects whose states are Boolean values, and the state updates occur in disc...
[ { "created": "Tue, 15 Nov 2022 06:12:34 GMT", "version": "v1" } ]
2022-11-16
[ [ "Ogihara", "Mitsunori", "" ], [ "Uchizawa", "Kei", "" ] ]
Dynamical Systems is a field that studies the collective behavior of objects that update their states according to some rules. Discrete-time Boolean Finite Dynamical System (DT-BFDS) is a subfield where the systems have some finite number of objects whose states are Boolean values, and the state updates occur in discre...
1409.6584
Bernhard Rumpe
Fred W. Rauskolb, Kai Berger, Christian Lipski, Marcus Magnor, Karsten Cornelsen, Jan Effertz, Thomas Form, Fabian Graefe, Sebastian Ohl, Walter Schumacher, J\"orn Marten Wille, Peter Hecker, Tobias Nothdurft, Michael Doering, Kai Homeier, Johannes Morgenroth, Lars Wolf, Christian Basarke, Christian Berger, Tim...
Caroline: An Autonomously Driving Vehicle for Urban Environments
68 pages, 7 figures
M. Buehler, K. Iagnemma, S. Singh (Eds.). The DARPA Urban Challenge - Autonomous Vehicles in City Traffic. Springer Tracts in Advanced Robotics, Volume 56, pp. 441-508, 2010
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The 2007 DARPA Urban Challenge afforded the golden opportunity for the Technische Universit\"at Braunschweig to demonstrate its abilities to develop an autonomously driving vehicle to compete with the world's best competitors. After several stages of qualification, our team CarOLO qualified early for the DARPA Urban ...
[ { "created": "Mon, 22 Sep 2014 11:57:55 GMT", "version": "v1" } ]
2014-09-24
[ [ "Rauskolb", "Fred W.", "" ], [ "Berger", "Kai", "" ], [ "Lipski", "Christian", "" ], [ "Magnor", "Marcus", "" ], [ "Cornelsen", "Karsten", "" ], [ "Effertz", "Jan", "" ], [ "Form", "Thomas", "" ], [ ...
The 2007 DARPA Urban Challenge afforded the golden opportunity for the Technische Universit\"at Braunschweig to demonstrate its abilities to develop an autonomously driving vehicle to compete with the world's best competitors. After several stages of qualification, our team CarOLO qualified early for the DARPA Urban Ch...
2104.03651
Daniel Reti
Daniel Reti, Norman Becker
Escape the Fake: Introducing Simulated Container-Escapes for Honeypots
null
2020 Workshop on Next Generation Networks and Applications (NGNA)
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the field of network security, the concept of honeypots is well established in research as well as in production. Honeypots are used to imitate a legitimate target on the network and to raise an alert on any interaction. This does not only help learning about a breach, but also allows researchers to study the tech...
[ { "created": "Thu, 8 Apr 2021 10:16:03 GMT", "version": "v1" } ]
2021-04-09
[ [ "Reti", "Daniel", "" ], [ "Becker", "Norman", "" ] ]
In the field of network security, the concept of honeypots is well established in research as well as in production. Honeypots are used to imitate a legitimate target on the network and to raise an alert on any interaction. This does not only help learning about a breach, but also allows researchers to study the techni...
1506.00412
Demia Della Penda
Demia Della Penda, Liqun Fu, and Mikael Johansson
Energy efficient D2D communications in dynamic TDD systems
Submitted to IEEE Journal of Selected Areas in Communications
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of device-to-device communications and dynamic time-division duplex can improve the energy efficiency of future cellular networks, leading to...
[ { "created": "Mon, 1 Jun 2015 09:59:19 GMT", "version": "v1" } ]
2015-06-02
[ [ "Della Penda", "Demia", "" ], [ "Fu", "Liqun", "" ], [ "Johansson", "Mikael", "" ] ]
Network-assisted device-to-device communication is a promising technology for improving the performance of proximity-based services. This paper demonstrates how the integration of device-to-device communications and dynamic time-division duplex can improve the energy efficiency of future cellular networks, leading to a...
1711.00536
Rossano Schifanella
Luca M. Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero
Beautiful and damned. Combined effect of content quality and social ties on user engagement
13 pages, 12 figures, final version published in IEEE Transactions on Knowledge and Data Engineering (Volume: PP, Issue: 99)
null
10.1109/TKDE.2017.2747552
null
cs.SI cs.AI cs.CV cs.MM physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects are rarely explored jointly and at scale. By looking at how users generate and access pictures of varying beauty on Flickr, we investigate...
[ { "created": "Wed, 1 Nov 2017 20:48:30 GMT", "version": "v1" } ]
2017-11-03
[ [ "Aiello", "Luca M.", "" ], [ "Schifanella", "Rossano", "" ], [ "Redi", "Miriam", "" ], [ "Svetlichnaya", "Stacey", "" ], [ "Liu", "Frank", "" ], [ "Osindero", "Simon", "" ] ]
User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects are rarely explored jointly and at scale. By looking at how users generate and access pictures of varying beauty on Flickr, we investigate h...
0912.3004
Panagiotis Cheilaris
Panagiotis Cheilaris and Geza Toth
Graph unique-maximum and conflict-free colorings
null
null
null
null
cs.DM cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the relationship between two kinds of vertex colorings of graphs: unique-maximum colorings and conflict-free colorings. In a unique-maximum coloring, the colors are ordered, and in every path of the graph the maximum color appears only once. In a conflict-free coloring, in every path of the graph there...
[ { "created": "Tue, 15 Dec 2009 21:01:42 GMT", "version": "v1" } ]
2009-12-17
[ [ "Cheilaris", "Panagiotis", "" ], [ "Toth", "Geza", "" ] ]
We investigate the relationship between two kinds of vertex colorings of graphs: unique-maximum colorings and conflict-free colorings. In a unique-maximum coloring, the colors are ordered, and in every path of the graph the maximum color appears only once. In a conflict-free coloring, in every path of the graph there i...
1609.09395
Constantinos Heracleous
Constantinos Heracleous
Micropolis Interdependency Modeling using Open Hybrid Automata
7 pages
null
null
null
cs.SY
http://creativecommons.org/licenses/by/4.0/
Micropolis is a virtual city that is used for various studies, such as modeling and analyzing water networks. In this paper we model the various interdependencies between three major infrastructures in Micropolis, the power system, the communication network and the water network, in order to study cascades effects be...
[ { "created": "Tue, 27 Sep 2016 20:47:43 GMT", "version": "v1" } ]
2016-09-30
[ [ "Heracleous", "Constantinos", "" ] ]
Micropolis is a virtual city that is used for various studies, such as modeling and analyzing water networks. In this paper we model the various interdependencies between three major infrastructures in Micropolis, the power system, the communication network and the water network, in order to study cascades effects betw...
2211.11380
Yuhao Wang
Yuhao Wang, Kai Wang, Xiaohong Liu, Tianrun Gao, Jingyue Zhang, Guangyu Wang
Self adaptive global-local feature enhancement for radiology report generation
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Automated radiology report generation aims at automatically generating a detailed description of medical images, which can greatly alleviate the workload of radiologists and provide better medical services to remote areas. Most existing works pay attention to the holistic impression of medical images, failing to util...
[ { "created": "Mon, 21 Nov 2022 11:50:42 GMT", "version": "v1" } ]
2022-11-22
[ [ "Wang", "Yuhao", "" ], [ "Wang", "Kai", "" ], [ "Liu", "Xiaohong", "" ], [ "Gao", "Tianrun", "" ], [ "Zhang", "Jingyue", "" ], [ "Wang", "Guangyu", "" ] ]
Automated radiology report generation aims at automatically generating a detailed description of medical images, which can greatly alleviate the workload of radiologists and provide better medical services to remote areas. Most existing works pay attention to the holistic impression of medical images, failing to utiliz...
2002.11495
Joni Pajarinen
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
Probabilistic approach to physical object disentangling
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Physically disentangling entangled objects from each other is a problem encountered in waste segregation or in any task that requires disassembly of structures. Often there are no object models, and, especially with cluttered irregularly shaped objects, the robot can not create a model of the scene due to occlusion. ...
[ { "created": "Wed, 26 Feb 2020 14:01:24 GMT", "version": "v1" }, { "created": "Mon, 12 Apr 2021 13:06:49 GMT", "version": "v2" } ]
2021-04-13
[ [ "Pajarinen", "Joni", "" ], [ "Arenz", "Oleg", "" ], [ "Peters", "Jan", "" ], [ "Neumann", "Gerhard", "" ] ]
Physically disentangling entangled objects from each other is a problem encountered in waste segregation or in any task that requires disassembly of structures. Often there are no object models, and, especially with cluttered irregularly shaped objects, the robot can not create a model of the scene due to occlusion. On...
2308.10410
Irene Li
Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Dairui Liu, Tianwei She, Yuang Jiang, Irene Li
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
null
ACL 2024 Findings
null
null
cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significant success across various general tasks. However, their effectiveness...
[ { "created": "Mon, 21 Aug 2023 01:32:45 GMT", "version": "v1" }, { "created": "Wed, 6 Sep 2023 00:03:11 GMT", "version": "v2" }, { "created": "Thu, 22 Feb 2024 02:54:19 GMT", "version": "v3" }, { "created": "Thu, 23 May 2024 12:42:06 GMT", "version": "v4" } ]
2024-05-24
[ [ "Gao", "Fan", "" ], [ "Jiang", "Hang", "" ], [ "Yang", "Rui", "" ], [ "Zeng", "Qingcheng", "" ], [ "Lu", "Jinghui", "" ], [ "Blum", "Moritz", "" ], [ "Liu", "Dairui", "" ], [ "She", "Tianwei", ...
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significant success across various general tasks. However, their effectiveness a...
2010.16095
Mrigank Raman
Mrigank Raman, Ojal Kumar, Arpan Chattopadhyay
Centralized active tracking of a Markov chain with unknown dynamics
Accepted at the IEEE MASS 2020 Conference
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, selection of an active sensor subset for tracking a discrete time, finite state Markov chain having an unknown transition probability matrix (TPM) is considered. A total of N sensors are available for making observations of the Markov chain, out of which a subset of sensors are activated each time in o...
[ { "created": "Fri, 30 Oct 2020 06:32:11 GMT", "version": "v1" } ]
2020-11-02
[ [ "Raman", "Mrigank", "" ], [ "Kumar", "Ojal", "" ], [ "Chattopadhyay", "Arpan", "" ] ]
In this paper, selection of an active sensor subset for tracking a discrete time, finite state Markov chain having an unknown transition probability matrix (TPM) is considered. A total of N sensors are available for making observations of the Markov chain, out of which a subset of sensors are activated each time in ord...
1910.08914
Yuhang Li
Yuhang Li, Xuejin Chen, Feng Wu, and Zheng-Jun Zha
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we explore the task of generating photo-realistic face images from lines. Previous methods based on conditional generative adversarial networks (cGANs) have shown their power to generate visually plausible images when a conditional image and an output image share well-aligned structures. However, these...
[ { "created": "Sun, 20 Oct 2019 07:05:24 GMT", "version": "v1" } ]
2019-10-22
[ [ "Li", "Yuhang", "" ], [ "Chen", "Xuejin", "" ], [ "Wu", "Feng", "" ], [ "Zha", "Zheng-Jun", "" ] ]
In this paper, we explore the task of generating photo-realistic face images from lines. Previous methods based on conditional generative adversarial networks (cGANs) have shown their power to generate visually plausible images when a conditional image and an output image share well-aligned structures. However, these m...
1809.10846
Najma Gill
Najma Gill
Comparison of Self-Aware and Organic Computing Systems
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With increasing complexity and heterogeneity of computing devices, it has become crucial for system to be autonomous, adaptive to dynamic environment, robust, flexible, and having so called self-*properties. These autonomous systems are called organic computing(OC) systems. OC system was proposed as a solution to tac...
[ { "created": "Tue, 28 Aug 2018 13:52:44 GMT", "version": "v1" } ]
2018-10-01
[ [ "Gill", "Najma", "" ] ]
With increasing complexity and heterogeneity of computing devices, it has become crucial for system to be autonomous, adaptive to dynamic environment, robust, flexible, and having so called self-*properties. These autonomous systems are called organic computing(OC) systems. OC system was proposed as a solution to tackl...
2304.14790
Jose Manuel S\'anchez Ruiz
Jos\'e Manuel S\'anchez Ruiz, Francisco Jos\'e Dom\'inguez Mayo, Xavier Oriol, Jos\'e Francisco Crespo, David Benavides, Ernest Teniente
A Benchmarking Proposal for DevOps Practices on Open Source Software Projects
18 pages, 10 figures
null
null
null
cs.SE cs.PF
http://creativecommons.org/licenses/by-nc-nd/4.0/
The popularity of open-source software (OSS) projects has grown significantly over the last few years with more organizations relying on them. As these projects become larger, the need for higher quality also increases. DevOps practices have been shown to improve quality and performance. The DORA benchmarking reports...
[ { "created": "Fri, 28 Apr 2023 12:00:16 GMT", "version": "v1" } ]
2023-05-01
[ [ "Ruiz", "José Manuel Sánchez", "" ], [ "Mayo", "Francisco José Domínguez", "" ], [ "Oriol", "Xavier", "" ], [ "Crespo", "José Francisco", "" ], [ "Benavides", "David", "" ], [ "Teniente", "Ernest", "" ] ]
The popularity of open-source software (OSS) projects has grown significantly over the last few years with more organizations relying on them. As these projects become larger, the need for higher quality also increases. DevOps practices have been shown to improve quality and performance. The DORA benchmarking reports p...
2107.13429
Weixia Zhang
Weixia Zhang and Kede Ma and Guangtao Zhai and Xiaokang Yang
Task-Specific Normalization for Continual Learning of Blind Image Quality Models
Accepted by IEEE T-IP
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In this paper, we present a simple yet effective continual learning method for blind image quality assessment (BIQA) with improved quality prediction accuracy, plasticity-stability trade-off, and task-order/-length robustness. The key step in our approach is to freeze all convolution filters of a pre-trained deep neu...
[ { "created": "Wed, 28 Jul 2021 15:21:01 GMT", "version": "v1" }, { "created": "Thu, 2 Mar 2023 06:39:53 GMT", "version": "v2" }, { "created": "Mon, 19 Feb 2024 15:36:23 GMT", "version": "v3" } ]
2024-02-20
[ [ "Zhang", "Weixia", "" ], [ "Ma", "Kede", "" ], [ "Zhai", "Guangtao", "" ], [ "Yang", "Xiaokang", "" ] ]
In this paper, we present a simple yet effective continual learning method for blind image quality assessment (BIQA) with improved quality prediction accuracy, plasticity-stability trade-off, and task-order/-length robustness. The key step in our approach is to freeze all convolution filters of a pre-trained deep neura...
cs/0012002
Abdun
Md. Enamul Karim (1), Abdun Naser Mahmood (1) ((1) University of Dhaka)
Random Shuffling to Reduce Disorder in Adaptive Sorting Scheme
7 pages, 2 tables
null
null
null
cs.DS
null
In this paper we present a random shuffling scheme to apply with adaptive sorting algorithms. Adaptive sorting algorithms utilize the presortedness present in a given sequence. We have probabilistically increased the amount of presortedness present in a sequence by using a random shuffling technique that requires lit...
[ { "created": "Sat, 2 Dec 2000 17:47:26 GMT", "version": "v1" } ]
2016-08-31
[ [ "Karim", "Md. Enamul", "" ], [ "Mahmood", "Abdun Naser", "" ] ]
In this paper we present a random shuffling scheme to apply with adaptive sorting algorithms. Adaptive sorting algorithms utilize the presortedness present in a given sequence. We have probabilistically increased the amount of presortedness present in a sequence by using a random shuffling technique that requires littl...
2311.03797
Daogao Liu
Hilal Asi, Daogao Liu
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
null
null
null
null
cs.LG cs.CR cs.DS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study differentially private stochastic convex optimization (DP-SCO) under user-level privacy, where each user may hold multiple data items. Existing work for user-level DP-SCO either requires super-polynomial runtime [Ghazi et al. (2023)] or requires the number of users to grow polynomially with the dimensionalit...
[ { "created": "Tue, 7 Nov 2023 08:26:51 GMT", "version": "v1" } ]
2023-11-08
[ [ "Asi", "Hilal", "" ], [ "Liu", "Daogao", "" ] ]
We study differentially private stochastic convex optimization (DP-SCO) under user-level privacy, where each user may hold multiple data items. Existing work for user-level DP-SCO either requires super-polynomial runtime [Ghazi et al. (2023)] or requires the number of users to grow polynomially with the dimensionality ...
2405.15861
Zhe Li
Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by/4.0/
Federated Learning (FL) offers a promising framework for collaborative and privacy-preserving machine learning across distributed data sources. However, the substantial communication costs associated with FL pose a significant challenge to its efficiency. Specifically, in each communication round, the communication c...
[ { "created": "Fri, 24 May 2024 18:07:05 GMT", "version": "v1" }, { "created": "Mon, 24 Jun 2024 04:52:25 GMT", "version": "v2" } ]
2024-06-25
[ [ "Li", "Zhe", "" ], [ "Ying", "Bicheng", "" ], [ "Liu", "Zidong", "" ], [ "Yang", "Haibo", "" ] ]
Federated Learning (FL) offers a promising framework for collaborative and privacy-preserving machine learning across distributed data sources. However, the substantial communication costs associated with FL pose a significant challenge to its efficiency. Specifically, in each communication round, the communication cos...
2209.10017
Jonathan Ponniah
Jonathan Ponniah
Compress-Forward Schemes for General Networks
arXiv admin note: text overlap with arXiv:1801.04310
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Compress-forward (CF) schemes are studied in general networks. The CF rate for the one-relay channel defines outerbounds on both the CF rate for general networks and the compression rate-vector region supporting this rate. We show the outerbound is achievable using regular decoding with constant encoding delays, avoi...
[ { "created": "Tue, 20 Sep 2022 21:57:36 GMT", "version": "v1" } ]
2022-09-22
[ [ "Ponniah", "Jonathan", "" ] ]
Compress-forward (CF) schemes are studied in general networks. The CF rate for the one-relay channel defines outerbounds on both the CF rate for general networks and the compression rate-vector region supporting this rate. We show the outerbound is achievable using regular decoding with constant encoding delays, avoidi...
1503.03378
Marlon Dumas
T\~onis Saar, Marlon Dumas, Marti Kaljuve and Nataliia Semenenko
Browserbite: Cross-Browser Testing via Image Processing
28 pages, 16 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cross-browser compatibility testing is concerned with identifying perceptible differences in the way a Web page is rendered across different browsers or configurations thereof. Existing automated cross-browser compatibility testing methods are generally based on Document Object Model (DOM) analysis, or in some cases,...
[ { "created": "Wed, 11 Mar 2015 15:37:15 GMT", "version": "v1" } ]
2015-03-12
[ [ "Saar", "Tõnis", "" ], [ "Dumas", "Marlon", "" ], [ "Kaljuve", "Marti", "" ], [ "Semenenko", "Nataliia", "" ] ]
Cross-browser compatibility testing is concerned with identifying perceptible differences in the way a Web page is rendered across different browsers or configurations thereof. Existing automated cross-browser compatibility testing methods are generally based on Document Object Model (DOM) analysis, or in some cases, a...
2311.06861
Xinquan Wang
Xinquan Wang, Fenghao Zhu, Qianyun Zhou, Qihao Yu, Chongwen Huang, Ahmed Alhammadi, Zhaoyang Zhang, Chau Yuen, and M\'erouane Debbah
Energy-efficient Beamforming for RISs-aided Communications: Gradient Based Meta Learning
5 pages, 8 figures. Accepted in IEEE ICC 2024 (GCSN symposium)
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconfigurable intelligent surfaces (RISs) have become a promising technology to meet the requirements of energy efficiency and scalability in future six-generation (6G) communications. However, a significant challenge in RISs-aided communications is the joint optimization of active and passive beamforming at base st...
[ { "created": "Sun, 12 Nov 2023 14:34:08 GMT", "version": "v1" }, { "created": "Thu, 1 Feb 2024 15:04:02 GMT", "version": "v2" }, { "created": "Fri, 16 Feb 2024 13:17:27 GMT", "version": "v3" } ]
2024-02-19
[ [ "Wang", "Xinquan", "" ], [ "Zhu", "Fenghao", "" ], [ "Zhou", "Qianyun", "" ], [ "Yu", "Qihao", "" ], [ "Huang", "Chongwen", "" ], [ "Alhammadi", "Ahmed", "" ], [ "Zhang", "Zhaoyang", "" ], [ "Yuen",...
Reconfigurable intelligent surfaces (RISs) have become a promising technology to meet the requirements of energy efficiency and scalability in future six-generation (6G) communications. However, a significant challenge in RISs-aided communications is the joint optimization of active and passive beamforming at base stat...
2105.09742
Aashish Agarwal
Aashish Agarwal and Torsten Zesch
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech
null
null
null
null
cs.CL cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
When evaluating the performance of automatic speech recognition models, usually word error rate within a certain dataset is used. Special care must be taken in understanding the dataset in order to report realistic performance numbers. We argue that many performance numbers reported probably underestimate the expecte...
[ { "created": "Sat, 8 May 2021 16:46:44 GMT", "version": "v1" } ]
2021-05-21
[ [ "Agarwal", "Aashish", "" ], [ "Zesch", "Torsten", "" ] ]
When evaluating the performance of automatic speech recognition models, usually word error rate within a certain dataset is used. Special care must be taken in understanding the dataset in order to report realistic performance numbers. We argue that many performance numbers reported probably underestimate the expected ...
1606.09163
Akash Kumar Dhaka
Akash Kumar Dhaka and Giampiero Salvi
Optimising The Input Window Alignment in CD-DNN Based Phoneme Recognition for Low Latency Processing
4 pages, 3 figures
null
null
null
cs.CL cs.CV cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a systematic analysis on the performance of a phonetic recogniser when the window of input features is not symmetric with respect to the current frame. The recogniser is based on Context Dependent Deep Neural Networks (CD-DNNs) and Hidden Markov Models (HMMs). The objective is to reduce the latency of the ...
[ { "created": "Wed, 29 Jun 2016 15:51:44 GMT", "version": "v1" } ]
2016-06-30
[ [ "Dhaka", "Akash Kumar", "" ], [ "Salvi", "Giampiero", "" ] ]
We present a systematic analysis on the performance of a phonetic recogniser when the window of input features is not symmetric with respect to the current frame. The recogniser is based on Context Dependent Deep Neural Networks (CD-DNNs) and Hidden Markov Models (HMMs). The objective is to reduce the latency of the sy...
2307.06479
Emek Baris Kucuktabak
Emek Bar{\i}\c{s} K\"u\c{c}\"uktabak, Yue Wen, Matthew Short, Efe Demirba\c{s}, Kevin Lynch, Jose Pons
Virtual Physical Coupling of Two Lower-Limb Exoskeletons
6 pages, 9 figures, accepted at 2023 IEEE International Conference on Rehabilitation Robotics (ICORR)
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the effects of dyadic haptic interaction mostly focusing on the upper-limb. Developing infrastructure that enables physical interactions between...
[ { "created": "Wed, 12 Jul 2023 22:43:41 GMT", "version": "v1" }, { "created": "Thu, 20 Jul 2023 22:08:51 GMT", "version": "v2" } ]
2023-07-24
[ [ "Küçüktabak", "Emek Barış", "" ], [ "Wen", "Yue", "" ], [ "Short", "Matthew", "" ], [ "Demirbaş", "Efe", "" ], [ "Lynch", "Kevin", "" ], [ "Pons", "Jose", "" ] ]
Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the effects of dyadic haptic interaction mostly focusing on the upper-limb. Developing infrastructure that enables physical interactions between m...
2208.12653
Jianing Li
Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang
Uncertainty Guided Depth Fusion for Spike Camera
18 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Depth estimation is essential for various important real-world applications such as autonomous driving. However, it suffers from severe performance degradation in high-velocity scenario since traditional cameras can only capture blurred images. To deal with this problem, the spike camera is designed to capture the pi...
[ { "created": "Fri, 26 Aug 2022 13:04:01 GMT", "version": "v1" }, { "created": "Mon, 29 Aug 2022 06:48:58 GMT", "version": "v2" } ]
2022-08-30
[ [ "Li", "Jianing", "" ], [ "Liu", "Jiaming", "" ], [ "Wei", "Xiaobao", "" ], [ "Zhang", "Jiyuan", "" ], [ "Lu", "Ming", "" ], [ "Ma", "Lei", "" ], [ "Du", "Li", "" ], [ "Huang", "Tiejun", "" ...
Depth estimation is essential for various important real-world applications such as autonomous driving. However, it suffers from severe performance degradation in high-velocity scenario since traditional cameras can only capture blurred images. To deal with this problem, the spike camera is designed to capture the pixe...
0908.0932
Grenville Croll
M. Sriram Iyengar, John R. Svirbely
The Medical Algorithms Project
6 Pages, 2 Colour Figures
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2009 113-118 ISBN 978-1-905617-89-0
null
null
cs.HC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Medical Algorithms Project, a web-based resource located at www.medal.org, is the world's largest collection of medical-related spreadsheets, consisting of over 13,500 Excel spreadsheets each encoding a medical algorithm from 45 different areas of medical practice. This free resource is in use worldwide with over...
[ { "created": "Thu, 6 Aug 2009 18:52:41 GMT", "version": "v1" } ]
2009-08-07
[ [ "Iyengar", "M. Sriram", "" ], [ "Svirbely", "John R.", "" ] ]
The Medical Algorithms Project, a web-based resource located at www.medal.org, is the world's largest collection of medical-related spreadsheets, consisting of over 13,500 Excel spreadsheets each encoding a medical algorithm from 45 different areas of medical practice. This free resource is in use worldwide with over 1...
2306.13937
Luiz Fernando Afra Brito
Luiz F. Afra Brito and Marcelo Keese Albertini and Bruno A. N. Traven\c{c}olo
A Dynamic Data Structure for Representing Timed Transitive Closures on Disk
22 pages, 4 figures
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Temporal graphs represent interactions between entities over time. These interactions may be direct, a contact between two vertices at some time instant, or indirect, through sequences of contacts called journeys. Deciding whether an entity can reach another through a journey is useful for various applications in com...
[ { "created": "Sat, 24 Jun 2023 10:58:23 GMT", "version": "v1" } ]
2023-06-27
[ [ "Brito", "Luiz F. Afra", "" ], [ "Albertini", "Marcelo Keese", "" ], [ "Travençolo", "Bruno A. N.", "" ] ]
Temporal graphs represent interactions between entities over time. These interactions may be direct, a contact between two vertices at some time instant, or indirect, through sequences of contacts called journeys. Deciding whether an entity can reach another through a journey is useful for various applications in compl...
1705.09888
Peng Xu
Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval
Accepted by Neurocomputing
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are iconic renderings of the real world with highly abstract. Therefore, matching sketch and photo directly using low-level visual clues are unsufficie...
[ { "created": "Sun, 28 May 2017 03:45:26 GMT", "version": "v1" } ]
2017-05-30
[ [ "Xu", "Peng", "" ], [ "Yin", "Qiyue", "" ], [ "Huang", "Yongye", "" ], [ "Song", "Yi-Zhe", "" ], [ "Ma", "Zhanyu", "" ], [ "Wang", "Liang", "" ], [ "Xiang", "Tao", "" ], [ "Kleijn", "W. Bastiaan...
Sketch-based image retrieval (SBIR) is challenging due to the inherent domain-gap between sketch and photo. Compared with pixel-perfect depictions of photos, sketches are iconic renderings of the real world with highly abstract. Therefore, matching sketch and photo directly using low-level visual clues are unsufficient...
1602.04234
Stefanos Baros Stefanos Baros
Stefanos Baros
Consensus-Based Torque Control of Deloaded Wind DFIGs for Distributed and Fair Dynamic Dispatching
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we aim to address the problem of dynamically dispatching a group of state-of-the-art deloaded wind generators (WGs) in a fair-sharing manner. We use the term dynamically since the WGs aim to dispatch themselves according to a varying committed WF power output. We first propose a leader-follower protocol...
[ { "created": "Fri, 12 Feb 2016 21:50:26 GMT", "version": "v1" } ]
2016-02-16
[ [ "Baros", "Stefanos", "" ] ]
In this paper we aim to address the problem of dynamically dispatching a group of state-of-the-art deloaded wind generators (WGs) in a fair-sharing manner. We use the term dynamically since the WGs aim to dispatch themselves according to a varying committed WF power output. We first propose a leader-follower protocol w...
cs/0406013
Ester Zumpano
G. Greco, S. Greco, I. Trubtsyna, E. Zumpano
Optimization of Bound Disjunctive Queries with Constraints
35 pages
null
null
null
cs.LO
null
"To Appear in Theory and Practice of Logic Programming (TPLP)" This paper presents a technique for the optimization of bound queries over disjunctive deductive databases with constraints. The proposed approach is an extension of the well-known Magic-Set technique and is well-suited for being integrated in current bot...
[ { "created": "Mon, 7 Jun 2004 12:13:58 GMT", "version": "v1" } ]
2007-05-23
[ [ "Greco", "G.", "" ], [ "Greco", "S.", "" ], [ "Trubtsyna", "I.", "" ], [ "Zumpano", "E.", "" ] ]
"To Appear in Theory and Practice of Logic Programming (TPLP)" This paper presents a technique for the optimization of bound queries over disjunctive deductive databases with constraints. The proposed approach is an extension of the well-known Magic-Set technique and is well-suited for being integrated in current botto...
1606.05614
Cristiano Premebida
C. Premebida, L. Garrote, A. Asvadi, A. Pedro Ribeiro, and U. Nunes
High-resolution LIDAR-based Depth Mapping using Bilateral Filter
8 pages, 6 figures, submitted to IEEE-ITSC'16
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR, find applications in many fields ranging from sensory perception to semantic segmentation and object detection. Upsampling is often based on combining data from a monocular camera to compensate the low-resolution of a LIDAR. This pa...
[ { "created": "Fri, 17 Jun 2016 18:14:59 GMT", "version": "v1" } ]
2016-06-20
[ [ "Premebida", "C.", "" ], [ "Garrote", "L.", "" ], [ "Asvadi", "A.", "" ], [ "Ribeiro", "A. Pedro", "" ], [ "Nunes", "U.", "" ] ]
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR, find applications in many fields ranging from sensory perception to semantic segmentation and object detection. Upsampling is often based on combining data from a monocular camera to compensate the low-resolution of a LIDAR. This pape...
2407.14912
Weiqin Jiao
Weiqin Jiao, Claudio Persello, George Vosselman
PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polygonal building outline extraction has been a research focus in recent years. Most existing methods have addressed this challenging task by decomposing it into several subtasks and employing carefully designed architectures. Despite their accuracy, such pipelines often introduce inefficiencies during training and ...
[ { "created": "Sat, 20 Jul 2024 15:48:54 GMT", "version": "v1" } ]
2024-07-23
[ [ "Jiao", "Weiqin", "" ], [ "Persello", "Claudio", "" ], [ "Vosselman", "George", "" ] ]
Polygonal building outline extraction has been a research focus in recent years. Most existing methods have addressed this challenging task by decomposing it into several subtasks and employing carefully designed architectures. Despite their accuracy, such pipelines often introduce inefficiencies during training and in...
2205.12523
Rongjie Huang
Rongjie Huang, Jinglin Liu, Huadai Liu, Yi Ren, Lichao Zhang, Jinzheng He, Zhou Zhao
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation
Accpeted to ICLR 2023
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Direct speech-to-speech translation (S2ST) with discrete units leverages recent progress in speech representation learning. Specifically, a sequence of discrete representations derived in a self-supervised manner are predicted from the model and passed to a vocoder for speech reconstruction, while still facing the fo...
[ { "created": "Wed, 25 May 2022 06:34:14 GMT", "version": "v1" }, { "created": "Thu, 2 Mar 2023 09:17:01 GMT", "version": "v2" } ]
2023-03-03
[ [ "Huang", "Rongjie", "" ], [ "Liu", "Jinglin", "" ], [ "Liu", "Huadai", "" ], [ "Ren", "Yi", "" ], [ "Zhang", "Lichao", "" ], [ "He", "Jinzheng", "" ], [ "Zhao", "Zhou", "" ] ]
Direct speech-to-speech translation (S2ST) with discrete units leverages recent progress in speech representation learning. Specifically, a sequence of discrete representations derived in a self-supervised manner are predicted from the model and passed to a vocoder for speech reconstruction, while still facing the foll...
2102.11097
Joseph O'Rourke
Joseph O'Rourke and Costin V\^ilcu
Cut Locus Realizations on Convex Polyhedra
16 pages, 7 figures, 16 references
null
null
null
cs.CG math.MG
http://creativecommons.org/licenses/by/4.0/
We prove that every positively-weighted tree T can be realized as the cut locus C(x) of a point x on a convex polyhedron P, with T weights matching C(x) lengths. If T has n leaves, P has (in general) n+1 vertices. We show there are in fact a continuum of polyhedra P each realizing T for some x on P. Three main tools ...
[ { "created": "Mon, 22 Feb 2021 15:11:44 GMT", "version": "v1" } ]
2021-02-23
[ [ "O'Rourke", "Joseph", "" ], [ "Vîlcu", "Costin", "" ] ]
We prove that every positively-weighted tree T can be realized as the cut locus C(x) of a point x on a convex polyhedron P, with T weights matching C(x) lengths. If T has n leaves, P has (in general) n+1 vertices. We show there are in fact a continuum of polyhedra P each realizing T for some x on P. Three main tools in...
2402.04520
Jerry Yao-Chieh Hu
Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
Accepted at ICML 2024; v2 corrected typos; v3 added clarifications and references; v4,5 updated to camera-ready version
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
We investigate the computational limits of the memory retrieval dynamics of modern Hopfield models from the fine-grained complexity analysis. Our key contribution is the characterization of a phase transition behavior in the efficiency of all possible modern Hopfield models based on the norm of patterns. Specifically...
[ { "created": "Wed, 7 Feb 2024 01:58:21 GMT", "version": "v1" }, { "created": "Wed, 14 Feb 2024 20:35:31 GMT", "version": "v2" }, { "created": "Thu, 4 Apr 2024 21:56:56 GMT", "version": "v3" }, { "created": "Sun, 26 May 2024 17:18:34 GMT", "version": "v4" }, { "cre...
2024-06-04
[ [ "Hu", "Jerry Yao-Chieh", "" ], [ "Lin", "Thomas", "" ], [ "Song", "Zhao", "" ], [ "Liu", "Han", "" ] ]
We investigate the computational limits of the memory retrieval dynamics of modern Hopfield models from the fine-grained complexity analysis. Our key contribution is the characterization of a phase transition behavior in the efficiency of all possible modern Hopfield models based on the norm of patterns. Specifically, ...
2004.12881
Shay Golan
Shay Golan, Tomasz Kociumaka, Tsvi Kopelowitz, Ely Porat
The Streaming k-Mismatch Problem: Tradeoffs between Space and Total Time
Extended abstract to appear in CPM 2020
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the $k$-mismatch problem in the streaming model on a pattern of length $m$ and a streaming text of length $n$, both over a size-$\sigma$ alphabet. The current state-of-the-art algorithm for the streaming $k$-mismatch problem, by Clifford et al. [SODA 2019], uses $\tilde O(k)$ space and $\tilde O\big(\sqrt ...
[ { "created": "Mon, 27 Apr 2020 15:41:49 GMT", "version": "v1" } ]
2020-04-28
[ [ "Golan", "Shay", "" ], [ "Kociumaka", "Tomasz", "" ], [ "Kopelowitz", "Tsvi", "" ], [ "Porat", "Ely", "" ] ]
We revisit the $k$-mismatch problem in the streaming model on a pattern of length $m$ and a streaming text of length $n$, both over a size-$\sigma$ alphabet. The current state-of-the-art algorithm for the streaming $k$-mismatch problem, by Clifford et al. [SODA 2019], uses $\tilde O(k)$ space and $\tilde O\big(\sqrt k\...
2202.12885
Sadra Seyedmasoumian
Sadra Seyedmasoumian, Tolga M. Duman
Approximate Weight Distribution of Polarization-Adjusted Convolutional (PAC) Codes
6 pages, 5 figures
2022 IEEE International Symposium on Information Theory (ISIT)
10.1109/ISIT50566.2022.9834587
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polarization-adjusted convolutional (PAC) codes combine the polar and convolutional transformations to enhance the distance properties of polar codes. They offer a performance very close to the finite length information-theoretic bounds for short block lengths. In this paper, we develop a method of computing the weig...
[ { "created": "Fri, 25 Feb 2022 18:53:36 GMT", "version": "v1" } ]
2022-11-17
[ [ "Seyedmasoumian", "Sadra", "" ], [ "Duman", "Tolga M.", "" ] ]
Polarization-adjusted convolutional (PAC) codes combine the polar and convolutional transformations to enhance the distance properties of polar codes. They offer a performance very close to the finite length information-theoretic bounds for short block lengths. In this paper, we develop a method of computing the weight...
1706.03824
Baskaran Sankaran
Baskaran Sankaran, Markus Freitag and Yaser Al-Onaizan
Attention-based Vocabulary Selection for NMT Decoding
Submitted to Second Conference on Machine Translation (WMT-17); 7 pages
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Machine Translation (NMT) models usually use large target vocabulary sizes to capture most of the words in the target language. The vocabulary size is a big factor when decoding new sentences as the final softmax layer normalizes over all possible target words. To address this problem, it is widely common to r...
[ { "created": "Mon, 12 Jun 2017 19:51:00 GMT", "version": "v1" } ]
2017-06-14
[ [ "Sankaran", "Baskaran", "" ], [ "Freitag", "Markus", "" ], [ "Al-Onaizan", "Yaser", "" ] ]
Neural Machine Translation (NMT) models usually use large target vocabulary sizes to capture most of the words in the target language. The vocabulary size is a big factor when decoding new sentences as the final softmax layer normalizes over all possible target words. To address this problem, it is widely common to res...
1409.6624
Bernhard Rumpe
Holger Krahn, Bernhard Rumpe, Steven V\"olkel
Integrated Definition of Abstract and Concrete Syntax for Textual Languages
15 pages, 12 figures. arXiv admin note: text overlap with arXiv:1409.2367
Proceedings of the ACM/IEEE 10th International Conference on Model Driven Engineering Languages and Systems (MODELS 2007), Nashville, TN, USA, LNCS 4735
10.1007/978-3-540-75209-7_20
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An understandable concrete syntax and a comprehensible abstract syntax are two central aspects of defining a modeling language. Both representations of a language significantly overlap in their structure and also information, but may also differ in parts of the information. To avoid discrepancies and problems while h...
[ { "created": "Mon, 22 Sep 2014 12:39:44 GMT", "version": "v1" } ]
2016-11-17
[ [ "Krahn", "Holger", "" ], [ "Rumpe", "Bernhard", "" ], [ "Völkel", "Steven", "" ] ]
An understandable concrete syntax and a comprehensible abstract syntax are two central aspects of defining a modeling language. Both representations of a language significantly overlap in their structure and also information, but may also differ in parts of the information. To avoid discrepancies and problems while han...
2310.14858
Patrick Holzer
Patrick Holzer, Tania Jacob, Shubham Kavane
Dynamically Weighted Federated k-Means
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated clustering, an integral aspect of federated machine learning, enables multiple data sources to collaboratively cluster their data, maintaining decentralization and preserving privacy. In this paper, we introduce a novel federated clustering algorithm named Dynamically Weighted Federated k-means (DWF k-means...
[ { "created": "Mon, 23 Oct 2023 12:28:21 GMT", "version": "v1" }, { "created": "Fri, 17 Nov 2023 10:35:48 GMT", "version": "v2" } ]
2023-11-20
[ [ "Holzer", "Patrick", "" ], [ "Jacob", "Tania", "" ], [ "Kavane", "Shubham", "" ] ]
Federated clustering, an integral aspect of federated machine learning, enables multiple data sources to collaboratively cluster their data, maintaining decentralization and preserving privacy. In this paper, we introduce a novel federated clustering algorithm named Dynamically Weighted Federated k-means (DWF k-means) ...
2407.03652
Teo Susnjak
Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul Watters, Malka N. Halgamuge
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
null
null
null
null
cs.AI cs.CC
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exponential projections of AI advancement toward Artificial General Intelligence (AGI) underpinned by transformer-based architectures, and po...
[ { "created": "Thu, 4 Jul 2024 05:46:39 GMT", "version": "v1" } ]
2024-07-08
[ [ "Susnjak", "Teo", "" ], [ "McIntosh", "Timothy R.", "" ], [ "Barczak", "Andre L. C.", "" ], [ "Reyes", "Napoleon H.", "" ], [ "Liu", "Tong", "" ], [ "Watters", "Paul", "" ], [ "Halgamuge", "Malka N.", "" ...
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exponential projections of AI advancement toward Artificial General Intelligence (AGI) underpinned by transformer-based architectures, and posi...
0910.5947
Jennifer Kloke
Jennifer Kloke and Gunnar Carlsson
Topological De-Noising: Strengthening the Topological Signal
13 pages, 37 figures, content added
null
null
null
cs.CG cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Topological methods, including persistent homology, are powerful tools for analysis of high-dimensional data sets but these methods rely almost exclusively on thresholding techniques. In noisy data sets, thresholding does not always allow for the recovery of topological information. We present an easy to implement, c...
[ { "created": "Fri, 30 Oct 2009 19:08:44 GMT", "version": "v1" }, { "created": "Mon, 8 Feb 2010 23:50:41 GMT", "version": "v2" } ]
2016-09-08
[ [ "Kloke", "Jennifer", "" ], [ "Carlsson", "Gunnar", "" ] ]
Topological methods, including persistent homology, are powerful tools for analysis of high-dimensional data sets but these methods rely almost exclusively on thresholding techniques. In noisy data sets, thresholding does not always allow for the recovery of topological information. We present an easy to implement, com...
2111.15651
Stuart Synakowski
Stuart Synakowski, Fabian Benitez-Quiroz, Aleix M. Martinez
Leveraging The Topological Consistencies of Learning in Deep Neural Networks
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Recently, methods have been developed to accurately predict the testing performance of a Deep Neural Network (DNN) on a particular task, given statistics of its underlying topological structure. However, further leveraging this newly found insight for practical applications is intractable due to the high computationa...
[ { "created": "Tue, 30 Nov 2021 18:34:48 GMT", "version": "v1" } ]
2021-12-01
[ [ "Synakowski", "Stuart", "" ], [ "Benitez-Quiroz", "Fabian", "" ], [ "Martinez", "Aleix M.", "" ] ]
Recently, methods have been developed to accurately predict the testing performance of a Deep Neural Network (DNN) on a particular task, given statistics of its underlying topological structure. However, further leveraging this newly found insight for practical applications is intractable due to the high computational ...
2204.07196
Arsen Vasilyan
Ronitt Rubinfeld and Arsen Vasilyan
Testing distributional assumptions of learning algorithms
null
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are many high dimensional function classes that have fast agnostic learning algorithms when assumptions on the distribution of examples can be made, such as Gaussianity or uniformity over the domain. But how can one be confident that data indeed satisfies such assumption, so that one can trust in output quality...
[ { "created": "Thu, 14 Apr 2022 19:10:53 GMT", "version": "v1" }, { "created": "Sun, 20 Nov 2022 01:01:47 GMT", "version": "v2" } ]
2022-11-22
[ [ "Rubinfeld", "Ronitt", "" ], [ "Vasilyan", "Arsen", "" ] ]
There are many high dimensional function classes that have fast agnostic learning algorithms when assumptions on the distribution of examples can be made, such as Gaussianity or uniformity over the domain. But how can one be confident that data indeed satisfies such assumption, so that one can trust in output quality o...
1911.03607
Ke Xu
Ke Xu, Kaiyu Guan, Jian Peng, Yunan Luo, Sibo Wang
DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
17 pages, 4 figures, 6 tables
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting and masking cloud and cloud shadow from satellite remote sensing images is a pervasive problem in the remote sensing community. Accurate and efficient detection of cloud and cloud shadow is an essential step to harness the value of remotely sensed data for almost all downstream analysis. DeepMask, a new alg...
[ { "created": "Sat, 9 Nov 2019 03:44:07 GMT", "version": "v1" } ]
2019-11-12
[ [ "Xu", "Ke", "" ], [ "Guan", "Kaiyu", "" ], [ "Peng", "Jian", "" ], [ "Luo", "Yunan", "" ], [ "Wang", "Sibo", "" ] ]
Detecting and masking cloud and cloud shadow from satellite remote sensing images is a pervasive problem in the remote sensing community. Accurate and efficient detection of cloud and cloud shadow is an essential step to harness the value of remotely sensed data for almost all downstream analysis. DeepMask, a new algor...