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cs/0408021
Florentin Smarandache
Florentin Smarandache, Jean Dezert
An Algorithm for Quasi-Associative and Quasi-Markovian Rules of Combination in Information Fusion
9 pages
International Journal of Applied Mathematics & Statistics, Vol. 22, No. S11 (Special Issue on Soft Computing), 33-42, 2011
null
null
cs.AI
null
In this paper one proposes a simple algorithm of combining the fusion rules, those rules which first use the conjunctive rule and then the transfer of conflicting mass to the non-empty sets, in such a way that they gain the property of associativity and fulfill the Markovian requirement for dynamic fusion. Also, a ne...
[ { "created": "Sun, 8 Aug 2004 19:41:23 GMT", "version": "v1" }, { "created": "Sat, 14 Aug 2004 16:59:51 GMT", "version": "v2" } ]
2010-09-14
[ [ "Smarandache", "Florentin", "" ], [ "Dezert", "Jean", "" ] ]
In this paper one proposes a simple algorithm of combining the fusion rules, those rules which first use the conjunctive rule and then the transfer of conflicting mass to the non-empty sets, in such a way that they gain the property of associativity and fulfill the Markovian requirement for dynamic fusion. Also, a new ...
1907.05364
Felix Batsch
Felix Batsch, Alireza Daneshkhah, Madeline Cheah, Stratis Kanarachos, Anthony Baxendale
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
6 pages, 5 figures, accepted at 2019 IEEE Intelligent Transportation Systems Conference - ITSC 2019, Auckland, New Zealand, October 2019
null
null
null
cs.LG cs.RO stat.AP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them leads to infeasible testing requirements, such as needing to drive billions of kilometres on public roads. Automated vehicles are exposed to an indefinite number of scenar...
[ { "created": "Thu, 11 Jul 2019 16:35:59 GMT", "version": "v1" } ]
2019-07-12
[ [ "Batsch", "Felix", "" ], [ "Daneshkhah", "Alireza", "" ], [ "Cheah", "Madeline", "" ], [ "Kanarachos", "Stratis", "" ], [ "Baxendale", "Anthony", "" ] ]
Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them leads to infeasible testing requirements, such as needing to drive billions of kilometres on public roads. Automated vehicles are exposed to an indefinite number of scenario...
1209.1734
Vishnuvardhan Mannava M.E
Vishnuvardhan Mannava and T. Ramesh
Load Distribution Composite Design Pattern for Genetic Algorithm-Based Autonomic Computing Systems
International Journal on Soft Computing (IJSC), 15 pages, 11 figures
Vishnuvardhan, Mannava., & Ramesh, T. (2012). Load Distribution Composite Design Pattern for Genetic Algorithm-Based Autonomic Computing Systems. International Journal on Soft Computing (IJSC), 3(3), 85-99
10.5121/ijsc
null
cs.SE cs.DC cs.NE
http://creativecommons.org/licenses/by-nc-sa/3.0/
Current autonomic computing systems are ad hoc solutions that are designed and implemented from the scratch. When designing software, in most cases two or more patterns are to be composed to solve a bigger problem. A composite design patterns shows a synergy that makes the composition more than just the sum of its pa...
[ { "created": "Sat, 8 Sep 2012 17:39:46 GMT", "version": "v1" } ]
2012-09-11
[ [ "Mannava", "Vishnuvardhan", "" ], [ "Ramesh", "T.", "" ] ]
Current autonomic computing systems are ad hoc solutions that are designed and implemented from the scratch. When designing software, in most cases two or more patterns are to be composed to solve a bigger problem. A composite design patterns shows a synergy that makes the composition more than just the sum of its part...
2310.15021
Zhiyuan Fan
Zhiyuan Fan, Shizhu He
Efficient Data Learning for Open Information Extraction with Pre-trained Language Models
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Open Information Extraction (OpenIE) is a fundamental yet challenging task in Natural Language Processing, which involves extracting all triples (subject, predicate, object) from a given sentence. While labeling-based methods have their merits, generation-based techniques offer unique advantages, such as the ability ...
[ { "created": "Mon, 23 Oct 2023 15:19:24 GMT", "version": "v1" }, { "created": "Wed, 26 Jun 2024 08:23:10 GMT", "version": "v2" } ]
2024-06-27
[ [ "Fan", "Zhiyuan", "" ], [ "He", "Shizhu", "" ] ]
Open Information Extraction (OpenIE) is a fundamental yet challenging task in Natural Language Processing, which involves extracting all triples (subject, predicate, object) from a given sentence. While labeling-based methods have their merits, generation-based techniques offer unique advantages, such as the ability to...
1004.4729
Venkatesan Chakaravarthy
Venkatesan T. Chakaravarthy and Vinayaka Pandit and Yogish Sabharwal
On the Complexity of the $k$-Anonymization Problem
9 pages, 2 figures
null
null
null
cs.CC cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of anonymizing tables containing personal information before releasing them for public use. One of the formulations considered in this context is the $k$-anonymization problem: given a table, suppress a minimum number of cells so that in the transformed table, each row is identical to atleast $k-...
[ { "created": "Tue, 27 Apr 2010 07:46:35 GMT", "version": "v1" } ]
2010-04-28
[ [ "Chakaravarthy", "Venkatesan T.", "" ], [ "Pandit", "Vinayaka", "" ], [ "Sabharwal", "Yogish", "" ] ]
We study the problem of anonymizing tables containing personal information before releasing them for public use. One of the formulations considered in this context is the $k$-anonymization problem: given a table, suppress a minimum number of cells so that in the transformed table, each row is identical to atleast $k-1$...
2302.01724
Qingpeng Cai
Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai
Reinforcing User Retention in a Billion Scale Short Video Recommender System
null
The Web Conference 2023 Industry Track
null
null
cs.LG cs.IR
http://creativecommons.org/publicdomain/zero/1.0/
Recently, short video platforms have achieved rapid user growth by recommending interesting content to users. The objective of the recommendation is to optimize user retention, thereby driving the growth of DAU (Daily Active Users). Retention is a long-term feedback after multiple interactions of users and the system...
[ { "created": "Fri, 3 Feb 2023 13:25:43 GMT", "version": "v1" }, { "created": "Tue, 7 Feb 2023 04:12:02 GMT", "version": "v2" }, { "created": "Sun, 12 Feb 2023 07:02:19 GMT", "version": "v3" } ]
2023-02-14
[ [ "Cai", "Qingpeng", "" ], [ "Liu", "Shuchang", "" ], [ "Wang", "Xueliang", "" ], [ "Zuo", "Tianyou", "" ], [ "Xie", "Wentao", "" ], [ "Yang", "Bin", "" ], [ "Zheng", "Dong", "" ], [ "Jiang", "Pen...
Recently, short video platforms have achieved rapid user growth by recommending interesting content to users. The objective of the recommendation is to optimize user retention, thereby driving the growth of DAU (Daily Active Users). Retention is a long-term feedback after multiple interactions of users and the system, ...
2209.08554
Murad Tukan
Murad Tukan, Loay Mualem, Alaa Maalouf
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Pruning is one of the predominant approaches for compressing deep neural networks (DNNs). Lately, coresets (provable data summarizations) were leveraged for pruning DNNs, adding the advantage of theoretical guarantees on the trade-off between the compression rate and the approximation error. However, coresets in this...
[ { "created": "Sun, 18 Sep 2022 12:45:26 GMT", "version": "v1" } ]
2022-09-20
[ [ "Tukan", "Murad", "" ], [ "Mualem", "Loay", "" ], [ "Maalouf", "Alaa", "" ] ]
Pruning is one of the predominant approaches for compressing deep neural networks (DNNs). Lately, coresets (provable data summarizations) were leveraged for pruning DNNs, adding the advantage of theoretical guarantees on the trade-off between the compression rate and the approximation error. However, coresets in this d...
1903.08752
Nirupam Gupta
Nirupam Gupta and Nitin H. Vaidya
Byzantine Fault Tolerant Distributed Linear Regression
Manuscript revised by adding; a new improved filtering technique, and convergence analysis with noise
null
null
null
cs.LG cs.DC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of Byzantine fault tolerance in distributed linear regression in a multi-agent system. However, the proposed algorithms are given for a more general class of distributed optimization problems, of which distributed linear regression is a special case. The system comprises of a server a...
[ { "created": "Wed, 20 Mar 2019 21:37:42 GMT", "version": "v1" }, { "created": "Thu, 4 Apr 2019 15:05:46 GMT", "version": "v2" } ]
2019-04-05
[ [ "Gupta", "Nirupam", "" ], [ "Vaidya", "Nitin H.", "" ] ]
This paper considers the problem of Byzantine fault tolerance in distributed linear regression in a multi-agent system. However, the proposed algorithms are given for a more general class of distributed optimization problems, of which distributed linear regression is a special case. The system comprises of a server and...
1302.0962
Veenu Mangat
Savinderjit Kaur (Department of Information Technology, UIET, PU, Chandigarh, India), Veenu Mangat (Department of Information Technology, UIET, PU, Chandigarh, India)
Improved Accuracy of PSO and DE using Normalization: an Application to Stock Price Prediction
null
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 9, 2012
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various algorithms which have been used for the same include ANN, SVM, ARIMA, GARCH etc. Different hybrid mo...
[ { "created": "Tue, 5 Feb 2013 09:01:13 GMT", "version": "v1" } ]
2013-02-06
[ [ "Kaur", "Savinderjit", "", "Department of Information Technology, UIET, PU,\n Chandigarh, India" ], [ "Mangat", "Veenu", "", "Department of Information Technology, UIET,\n PU, Chandigarh, India" ] ]
Data Mining is being actively applied to stock market since 1980s. It has been used to predict stock prices, stock indexes, for portfolio management, trend detection and for developing recommender systems. The various algorithms which have been used for the same include ANN, SVM, ARIMA, GARCH etc. Different hybrid mode...
1802.00047
Rui Zhang
Alexander Shapiro, Yao Xie, Rui Zhang
Matrix completion with deterministic pattern - a geometric perspective
null
null
10.1109/TSP.2018.2885494
null
cs.LG math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the matrix completion problem with a deterministic pattern of observed entries. In this setting, we aim to answer the question: under what condition there will be (at least locally) unique solution to the matrix completion problem, i.e., the underlying true matrix is identifiable. We answer the question f...
[ { "created": "Wed, 31 Jan 2018 20:03:07 GMT", "version": "v1" }, { "created": "Fri, 2 Feb 2018 02:29:26 GMT", "version": "v2" }, { "created": "Fri, 16 Feb 2018 03:25:36 GMT", "version": "v3" }, { "created": "Wed, 29 Aug 2018 19:03:53 GMT", "version": "v4" } ]
2019-01-30
[ [ "Shapiro", "Alexander", "" ], [ "Xie", "Yao", "" ], [ "Zhang", "Rui", "" ] ]
We consider the matrix completion problem with a deterministic pattern of observed entries. In this setting, we aim to answer the question: under what condition there will be (at least locally) unique solution to the matrix completion problem, i.e., the underlying true matrix is identifiable. We answer the question fro...
2209.00796
Ling Yang
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
Diffusion Models: A Comprehensive Survey of Methods and Applications
54 pages, 18 figures, citing 368 (up-to-date) papers, project: https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy, accepted by ACM Computing Surveys
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule design. In this survey, we provide an overview of the rapidly expanding body of work on diffusion models, categorizing the r...
[ { "created": "Fri, 2 Sep 2022 02:59:10 GMT", "version": "v1" }, { "created": "Thu, 23 Mar 2023 08:25:32 GMT", "version": "v10" }, { "created": "Wed, 11 Oct 2023 01:33:17 GMT", "version": "v11" }, { "created": "Tue, 6 Feb 2024 10:43:20 GMT", "version": "v12" }, { "...
2024-06-25
[ [ "Yang", "Ling", "" ], [ "Zhang", "Zhilong", "" ], [ "Song", "Yang", "" ], [ "Hong", "Shenda", "" ], [ "Xu", "Runsheng", "" ], [ "Zhao", "Yue", "" ], [ "Zhang", "Wentao", "" ], [ "Cui", "Bin", ...
Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule design. In this survey, we provide an overview of the rapidly expanding body of work on diffusion models, categorizing the res...
1803.03571
Rion Brattig Correia
Rion Brattig Correia and Luciana P. de Ara\'ujo and Mauro M. Mattos and Luis M. Rocha
City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions
null
npj Digit. Med. 2, 74 (2019)
10.1038/s41746-019-0141-x
null
cs.SI cs.CY cs.IR q-bio.QM stat.ML
http://creativecommons.org/licenses/by/4.0/
The occurrence of drug-drug-interactions (DDI) from multiple drug dispensations is a serious problem, both for individuals and health-care systems, since patients with complications due to DDI are likely to reenter the system at a costlier level. We present a large-scale longitudinal study (18 months) of the DDI phen...
[ { "created": "Fri, 9 Mar 2018 15:45:12 GMT", "version": "v1" }, { "created": "Fri, 7 Dec 2018 21:57:21 GMT", "version": "v2" }, { "created": "Wed, 20 Feb 2019 15:29:36 GMT", "version": "v3" }, { "created": "Thu, 2 Jan 2020 14:08:43 GMT", "version": "v4" } ]
2020-01-03
[ [ "Correia", "Rion Brattig", "" ], [ "de Araújo", "Luciana P.", "" ], [ "Mattos", "Mauro M.", "" ], [ "Rocha", "Luis M.", "" ] ]
The occurrence of drug-drug-interactions (DDI) from multiple drug dispensations is a serious problem, both for individuals and health-care systems, since patients with complications due to DDI are likely to reenter the system at a costlier level. We present a large-scale longitudinal study (18 months) of the DDI phenom...
2010.15090
Vishal Sunder
Vishal Sunder and Eric Fosler-Lussier
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
5 pages, 4 figures, 3 tables
null
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Utterance classification performance in low-resource dialogue systems is constrained by an inevitably high degree of data imbalance in class labels. We present a new end-to-end pairwise learning framework that is designed specifically to tackle this phenomenon by inducing a few-shot classification capability in the u...
[ { "created": "Wed, 28 Oct 2020 17:05:24 GMT", "version": "v1" } ]
2020-10-29
[ [ "Sunder", "Vishal", "" ], [ "Fosler-Lussier", "Eric", "" ] ]
Utterance classification performance in low-resource dialogue systems is constrained by an inevitably high degree of data imbalance in class labels. We present a new end-to-end pairwise learning framework that is designed specifically to tackle this phenomenon by inducing a few-shot classification capability in the utt...
2203.07920
Jingxiong Gao
Zichen Xu, Yunxiao Du, Kanqi Zhang, Jiacheng Huang, Jie Liu, Jingxiong Gao, Christopher Stewart
Cost-effective BlackWater Raft on Highly Unreliable Nodes at Scale Out
18 pages, 26 figures, We are already revising the Camera Ready version of IEEE Transaction on Cloud Computing
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Raft algorithm maintains strong consistency across data replicas in Cloud. This algorithm divides nodes into leaders and followers, to satisfy read/write requests spanning geo-diverse sites. With the increase of workload, Raft shall provide scale-out performance in proportion. However, traditional scale-out techn...
[ { "created": "Tue, 15 Mar 2022 14:00:17 GMT", "version": "v1" } ]
2022-03-16
[ [ "Xu", "Zichen", "" ], [ "Du", "Yunxiao", "" ], [ "Zhang", "Kanqi", "" ], [ "Huang", "Jiacheng", "" ], [ "Liu", "Jie", "" ], [ "Gao", "Jingxiong", "" ], [ "Stewart", "Christopher", "" ] ]
The Raft algorithm maintains strong consistency across data replicas in Cloud. This algorithm divides nodes into leaders and followers, to satisfy read/write requests spanning geo-diverse sites. With the increase of workload, Raft shall provide scale-out performance in proportion. However, traditional scale-out techniq...
1804.01307
Anjany Kumar Sekuboyina
Anjany Sekuboyina, Markus Rempfler, Jan Kuka\v{c}ka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, and Bjoern H. Menze
Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
Published as conference paper in Medical Image Computing and Computer Assisted Intervention - MICCAI 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust localisation and identification of vertebrae is essential for automated spine analysis. The contribution of this work to the task is two-fold: (1) Inspired by the human expert, we hypothesise that a sagittal and coronal reformation of the spine contain sufficient information for labelling the vertebrae. Thereb...
[ { "created": "Wed, 4 Apr 2018 09:00:33 GMT", "version": "v1" }, { "created": "Tue, 13 Nov 2018 16:20:52 GMT", "version": "v2" } ]
2018-11-14
[ [ "Sekuboyina", "Anjany", "" ], [ "Rempfler", "Markus", "" ], [ "Kukačka", "Jan", "" ], [ "Tetteh", "Giles", "" ], [ "Valentinitsch", "Alexander", "" ], [ "Kirschke", "Jan S.", "" ], [ "Menze", "Bjoern H.", "...
Robust localisation and identification of vertebrae is essential for automated spine analysis. The contribution of this work to the task is two-fold: (1) Inspired by the human expert, we hypothesise that a sagittal and coronal reformation of the spine contain sufficient information for labelling the vertebrae. Thereby,...
1909.08866
Dimitri Gominski
Dimitri Gominski (LaSTIG), Martyna Poreba (LaSTIG), Val\'erie Gouet-Brunet (LaSTIG), Liming Chen (LaSTIG)
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
SUMAC '19, 2019
null
10.1145/3347317.3357246
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article proposes to study the behavior of recent and efficient state-of-the-art deep-learning based image descriptors for content-based image retrieval, facing a panel of complex variations appearing in heterogeneous image datasets, in particular in cultural collections that may involve multi-source, multi-date ...
[ { "created": "Thu, 19 Sep 2019 08:54:51 GMT", "version": "v1" } ]
2019-09-20
[ [ "Gominski", "Dimitri", "", "LaSTIG" ], [ "Poreba", "Martyna", "", "LaSTIG" ], [ "Gouet-Brunet", "Valérie", "", "LaSTIG" ], [ "Chen", "Liming", "", "LaSTIG" ] ]
This article proposes to study the behavior of recent and efficient state-of-the-art deep-learning based image descriptors for content-based image retrieval, facing a panel of complex variations appearing in heterogeneous image datasets, in particular in cultural collections that may involve multi-source, multi-date an...
1511.08507
Steffen Wendzel
Steffen Wendzel, Carolin Palmer
Creativity in Mind: Evaluating and Maintaining Advances in Network Steganographic Research
to appear in Journal of Universal Computer Science (J.UCS)
Journal of Universal Computer Science, Vol. 21(12), 2015
10.3217/jucs-021-12-1684
null
cs.MM cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The research discipline of network steganography deals with the hiding of information within network transmissions, e.g. to transfer illicit information in networks with Internet censorship. The last decades of research on network steganography led to more than hundred techniques for hiding data in network transmissi...
[ { "created": "Thu, 26 Nov 2015 21:07:05 GMT", "version": "v1" } ]
2016-11-22
[ [ "Wendzel", "Steffen", "" ], [ "Palmer", "Carolin", "" ] ]
The research discipline of network steganography deals with the hiding of information within network transmissions, e.g. to transfer illicit information in networks with Internet censorship. The last decades of research on network steganography led to more than hundred techniques for hiding data in network transmission...
2109.09526
Stavros Shiaeles Dr
Stavros Shiaeles, Nicholas Kolokotronis, Emanuele Bellini
IoT Vulnerability Data Crawling and Analysis
2019 IEEE World Congress on Services (SERVICES)
null
10.1109/SERVICES.2019.00028
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and sensors-that communicate to deliver capabilities making our living, cities, transport, energy, and many other areas more intelligent. The ma...
[ { "created": "Mon, 20 Sep 2021 13:20:51 GMT", "version": "v1" } ]
2021-09-21
[ [ "Shiaeles", "Stavros", "" ], [ "Kolokotronis", "Nicholas", "" ], [ "Bellini", "Emanuele", "" ] ]
Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and sensors-that communicate to deliver capabilities making our living, cities, transport, energy, and many other areas more intelligent. The main...
1912.04822
Jocelyn Sunseri
Jocelyn Sunseri and David Ryan Koes
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications
null
null
null
null
cs.LG physics.chem-ph q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are many ways to represent a molecule as input to a machine learning model and each is associated with loss and retention of certain kinds of information. In the interest of preserving three-dimensional spatial information, including bond angles and torsions, we have developed libmolgrid, a general-purpose libr...
[ { "created": "Tue, 10 Dec 2019 17:03:56 GMT", "version": "v1" } ]
2019-12-11
[ [ "Sunseri", "Jocelyn", "" ], [ "Koes", "David Ryan", "" ] ]
There are many ways to represent a molecule as input to a machine learning model and each is associated with loss and retention of certain kinds of information. In the interest of preserving three-dimensional spatial information, including bond angles and torsions, we have developed libmolgrid, a general-purpose librar...
1603.00831
Anton Milan
Anton Milan, Laura Leal-Taixe, Ian Reid, Stefan Roth, Konrad Schindler
MOT16: A Benchmark for Multi-Object Tracking
arXiv admin note: substantial text overlap with arXiv:1504.01942
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of performance and are therefore important guides for reseach. Recently, a new benchmark for Multiple Object ...
[ { "created": "Wed, 2 Mar 2016 19:07:56 GMT", "version": "v1" }, { "created": "Tue, 3 May 2016 23:55:38 GMT", "version": "v2" } ]
2016-05-05
[ [ "Milan", "Anton", "" ], [ "Leal-Taixe", "Laura", "" ], [ "Reid", "Ian", "" ], [ "Roth", "Stefan", "" ], [ "Schindler", "Konrad", "" ] ]
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of performance and are therefore important guides for reseach. Recently, a new benchmark for Multiple Object Trac...
1910.01973
Martin Johannes Kraemer
Martin J Kraemer, William Seymour, Reuben Binns, Max Van Kleek, Ivan Flechais
Informing The Future of Data Protection in Smart Homes
Proceedings of the CHI 2019 Workshop on New Directions for the IoT: Automate, Share, Build, and Care, (arXiv:1906.06089)
null
null
IOTD/2019/12
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent changes to data protection regulation, particularly in Europe, are changing the design landscape for smart devices, requiring new design techniques to ensure that devices are able to adequately protect users' data. A particularly interesting space in which to explore and address these challenges is the smart h...
[ { "created": "Mon, 17 Jun 2019 09:57:41 GMT", "version": "v1" } ]
2019-10-07
[ [ "Kraemer", "Martin J", "" ], [ "Seymour", "William", "" ], [ "Binns", "Reuben", "" ], [ "Van Kleek", "Max", "" ], [ "Flechais", "Ivan", "" ] ]
Recent changes to data protection regulation, particularly in Europe, are changing the design landscape for smart devices, requiring new design techniques to ensure that devices are able to adequately protect users' data. A particularly interesting space in which to explore and address these challenges is the smart hom...
1602.00877
Jonathan Scarlett
Jonathan Scarlett and Volkan Cevher
Partial Recovery Bounds for the Sparse Stochastic Block Model
Accepted to ISIT 2016
null
null
null
cs.IT cs.SI math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities $\frac{a}{n}$ and $\frac{b}{n}$ respectively. We consider the sparse setting, in which $a$ and $b$ do not scale with $n$, a...
[ { "created": "Tue, 2 Feb 2016 11:00:10 GMT", "version": "v1" }, { "created": "Mon, 4 Apr 2016 16:59:26 GMT", "version": "v2" } ]
2016-04-05
[ [ "Scarlett", "Jonathan", "" ], [ "Cevher", "Volkan", "" ] ]
In this paper, we study the information-theoretic limits of community detection in the symmetric two-community stochastic block model, with intra-community and inter-community edge probabilities $\frac{a}{n}$ and $\frac{b}{n}$ respectively. We consider the sparse setting, in which $a$ and $b$ do not scale with $n$, and...
2208.08084
Xinghao Chen
Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
ECCV 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the Binary Neural Networks (BNNs) in which weights and activations are both binarized into 1-bit values, thus greatly reducing the memory usage and computational complexity. Since the modern deep neural networks are of sophisticated design with complex architecture for the accuracy reason, the dive...
[ { "created": "Wed, 17 Aug 2022 05:43:33 GMT", "version": "v1" }, { "created": "Mon, 3 Oct 2022 14:23:42 GMT", "version": "v2" } ]
2022-10-04
[ [ "Tu", "Zhijun", "" ], [ "Chen", "Xinghao", "" ], [ "Ren", "Pengju", "" ], [ "Wang", "Yunhe", "" ] ]
This paper studies the Binary Neural Networks (BNNs) in which weights and activations are both binarized into 1-bit values, thus greatly reducing the memory usage and computational complexity. Since the modern deep neural networks are of sophisticated design with complex architecture for the accuracy reason, the divers...
2301.05897
Erik Isai Valle Salgado
Erik Isai Valle Salgado, Haoxin Yan, Yue Hong, Peiyuan Zhu, Shidong Zhu, Chengwei Liao, Yanxiang Wen, Xiu Li, Xiang Qian, Xiaohao Wang, Xinghui Li
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
This is a fix of the published paper "Relational-based transfer learning for automatic optical inspection based on domain discrepancy"
Proc. SPIE 12317, Optoelectronic Imaging and Multimedia Technology IXMultimedia Technology IX, 2023
10.1117/12.2644087 10.1117/12.2644087
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today's smart manufacturing. However, related research enhanced the network models by applying TL without considering the domain similarity among datasets, the data long-tai...
[ { "created": "Sat, 14 Jan 2023 11:32:39 GMT", "version": "v1" } ]
2023-01-18
[ [ "Salgado", "Erik Isai Valle", "" ], [ "Yan", "Haoxin", "" ], [ "Hong", "Yue", "" ], [ "Zhu", "Peiyuan", "" ], [ "Zhu", "Shidong", "" ], [ "Liao", "Chengwei", "" ], [ "Wen", "Yanxiang", "" ], [ "Li",...
Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today's smart manufacturing. However, related research enhanced the network models by applying TL without considering the domain similarity among datasets, the data long-taile...
1506.02531
Cl\'ement Duhart Mr
Cl\'ement Duhart and Pierre Sauvage and Cyrille Bertelle
EMMA: A Resource Oriented Framework for Service Choreography over Wireless Sensor and Actor Networks
23 pages
null
null
null
cs.NI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current Internet of Things (IoT) development requires service distribution over Wireless Sensor and Actor Networks (WSAN) to deal with the drastic increasing of network management complexity. Because of the specific constraints of WSAN, centralized approaches are strongly limited. Multi-hop communication used by WSAN...
[ { "created": "Mon, 8 Jun 2015 14:54:24 GMT", "version": "v1" } ]
2015-06-09
[ [ "Duhart", "Clément", "" ], [ "Sauvage", "Pierre", "" ], [ "Bertelle", "Cyrille", "" ] ]
Current Internet of Things (IoT) development requires service distribution over Wireless Sensor and Actor Networks (WSAN) to deal with the drastic increasing of network management complexity. Because of the specific constraints of WSAN, centralized approaches are strongly limited. Multi-hop communication used by WSAN i...
2201.07216
Yiqiang Sheng
Satoshi Kamo, Yiqiang Sheng
Wide Area Network Intelligence with Application to Multimedia Service
null
null
null
null
cs.NI cs.AI cs.NE
http://creativecommons.org/licenses/by/4.0/
Network intelligence is a discipline that builds on the capabilities of network systems to act intelligently by the usage of network resources for delivering high-quality services in a changing environment. Wide area network intelligence is a class of network intelligence in wide area network which covers the core an...
[ { "created": "Fri, 14 Jan 2022 23:45:54 GMT", "version": "v1" } ]
2022-01-20
[ [ "Kamo", "Satoshi", "" ], [ "Sheng", "Yiqiang", "" ] ]
Network intelligence is a discipline that builds on the capabilities of network systems to act intelligently by the usage of network resources for delivering high-quality services in a changing environment. Wide area network intelligence is a class of network intelligence in wide area network which covers the core and ...
1308.4757
Ziqiang Shi
Ziqiang Shi and Rujie Liu
Online and stochastic Douglas-Rachford splitting method for large scale machine learning
null
null
null
null
cs.NA cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Online and stochastic learning has emerged as powerful tool in large scale optimization. In this work, we generalize the Douglas-Rachford splitting (DRs) method for minimizing composite functions to online and stochastic settings (to our best knowledge this is the first time DRs been generalized to sequential version...
[ { "created": "Thu, 22 Aug 2013 03:40:41 GMT", "version": "v1" }, { "created": "Mon, 26 Aug 2013 06:21:25 GMT", "version": "v2" }, { "created": "Wed, 28 Aug 2013 06:50:16 GMT", "version": "v3" }, { "created": "Sat, 7 Sep 2013 04:30:41 GMT", "version": "v4" }, { "cr...
2016-12-22
[ [ "Shi", "Ziqiang", "" ], [ "Liu", "Rujie", "" ] ]
Online and stochastic learning has emerged as powerful tool in large scale optimization. In this work, we generalize the Douglas-Rachford splitting (DRs) method for minimizing composite functions to online and stochastic settings (to our best knowledge this is the first time DRs been generalized to sequential version)....
2303.04486
Sarah Bee
S.C. Bee, E. Papatheou, M Haywood-Alexander, R.S. Mills, L.A. Bull, K. Worden and N. Dervilis
Better Together: Using Multi-task Learning to Improve Feature Selection within Structural Datasets
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is the use of multi-task learning (MTL); algorithms which differ from traditional independent learning algorithms. Presented here is the use of...
[ { "created": "Wed, 8 Mar 2023 10:19:55 GMT", "version": "v1" } ]
2023-03-09
[ [ "Bee", "S. C.", "" ], [ "Papatheou", "E.", "" ], [ "Haywood-Alexander", "M", "" ], [ "Mills", "R. S.", "" ], [ "Bull", "L. A.", "" ], [ "Worden", "K.", "" ], [ "Dervilis", "N.", "" ] ]
There have been recent efforts to move to population-based structural health monitoring (PBSHM) systems. One area of PBSHM which has been recognised for potential development is the use of multi-task learning (MTL); algorithms which differ from traditional independent learning algorithms. Presented here is the use of t...
2401.08719
Sang-Ki Ko
Seung-Yeop Baik, Mingi Jeon, Joonghyuk Hahn, Jungin Kim, Yo-Sub Han, Sang-Ki Ko
CodeComplex: A Time-Complexity Dataset for Bilingual Source Codes
null
null
null
null
cs.SE cs.CC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Analyzing the worst-case time complexity of a code is a crucial task in computer science and software engineering for ensuring the efficiency, reliability, and robustness of software systems. However, it is well-known that the problem of determining the worst-case time complexity of a given code written in general-pu...
[ { "created": "Tue, 16 Jan 2024 06:54:44 GMT", "version": "v1" } ]
2024-01-18
[ [ "Baik", "Seung-Yeop", "" ], [ "Jeon", "Mingi", "" ], [ "Hahn", "Joonghyuk", "" ], [ "Kim", "Jungin", "" ], [ "Han", "Yo-Sub", "" ], [ "Ko", "Sang-Ki", "" ] ]
Analyzing the worst-case time complexity of a code is a crucial task in computer science and software engineering for ensuring the efficiency, reliability, and robustness of software systems. However, it is well-known that the problem of determining the worst-case time complexity of a given code written in general-purp...
2109.14680
Jialing Liao
Jialing Liao and Olav Tirkkonen
Fundamental Rate-Memory Tradeoff for Coded Caching in Presence of User Inactivity
42pages, 5 figures, submitted to Trans Inf
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Coded caching utilizes proper file subpacketization and coded delivery to make full use of the multicast opportunities in content delivery, to alleviate file transfer load in massive content delivery scenarios. Most existing work considers deterministic environments. An important practical topic is to characterize th...
[ { "created": "Wed, 29 Sep 2021 19:31:40 GMT", "version": "v1" } ]
2021-10-01
[ [ "Liao", "Jialing", "" ], [ "Tirkkonen", "Olav", "" ] ]
Coded caching utilizes proper file subpacketization and coded delivery to make full use of the multicast opportunities in content delivery, to alleviate file transfer load in massive content delivery scenarios. Most existing work considers deterministic environments. An important practical topic is to characterize the ...
1908.07323
Zewen He
Zewen He, He Huang, Yudong Wu, Guan Huang, Wensheng Zhang
Instance Scale Normalization for image understanding
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scale variation remains a challenging problem for object detection. Common paradigms usually adopt multiscale training & testing (image pyramid) or FPN (feature pyramid network) to process objects in a wide scale range. However, multi-scale methods aggravate more variations of scale that even deep convolution neural ...
[ { "created": "Tue, 20 Aug 2019 13:12:33 GMT", "version": "v1" }, { "created": "Wed, 10 Jun 2020 01:42:50 GMT", "version": "v2" } ]
2020-06-11
[ [ "He", "Zewen", "" ], [ "Huang", "He", "" ], [ "Wu", "Yudong", "" ], [ "Huang", "Guan", "" ], [ "Zhang", "Wensheng", "" ] ]
Scale variation remains a challenging problem for object detection. Common paradigms usually adopt multiscale training & testing (image pyramid) or FPN (feature pyramid network) to process objects in a wide scale range. However, multi-scale methods aggravate more variations of scale that even deep convolution neural ne...
2105.08877
Erick Delage
Abderrahim Fathan and Erick Delage
Deep Reinforcement Learning for Optimal Stopping with Application in Financial Engineering
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optimal stopping is the problem of deciding the right time at which to take a particular action in a stochastic system, in order to maximize an expected reward. It has many applications in areas such as finance, healthcare, and statistics. In this paper, we employ deep Reinforcement Learning (RL) to learn optimal sto...
[ { "created": "Wed, 19 May 2021 01:52:04 GMT", "version": "v1" } ]
2021-05-20
[ [ "Fathan", "Abderrahim", "" ], [ "Delage", "Erick", "" ] ]
Optimal stopping is the problem of deciding the right time at which to take a particular action in a stochastic system, in order to maximize an expected reward. It has many applications in areas such as finance, healthcare, and statistics. In this paper, we employ deep Reinforcement Learning (RL) to learn optimal stopp...
2002.03323
Lina Mohjazi
Lina Mohjazi, Sami Muhaidat, Mehrdad Dianati, Mahmoud Al-Qutayri and Naofal Al-Dhahir
Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop an analytical framework to characterize the effect of impulsive noise on the performance of relay-assisted simultaneous wireless information and power transfer (SWIPT) systems. We derive novel closed-form expressions for the pairwise error probability (PEP) considering two variants based on the availabilit...
[ { "created": "Sun, 9 Feb 2020 09:13:26 GMT", "version": "v1" } ]
2020-02-11
[ [ "Mohjazi", "Lina", "" ], [ "Muhaidat", "Sami", "" ], [ "Dianati", "Mehrdad", "" ], [ "Al-Qutayri", "Mahmoud", "" ], [ "Al-Dhahir", "Naofal", "" ] ]
We develop an analytical framework to characterize the effect of impulsive noise on the performance of relay-assisted simultaneous wireless information and power transfer (SWIPT) systems. We derive novel closed-form expressions for the pairwise error probability (PEP) considering two variants based on the availability ...
1803.11046
Swarup Chauhan
Swarup Chauhan (1 and 2), Kathleen Sell (2 and 5), Frieder Enzmann (2), Wolfram R\"uhaak (3), Thorsten Wille (4), Ingo Sass (1), Michael Kersten (2) ((1) Institute of Applied Geosciences, University of Technology, Darmstadt, Germany (2) Institute for Geosciences, Johannes Gutenberg-University, Mainz, Germany (3...
CobWeb - a toolbox for automatic tomographic image analysis based on machine learning techniques: application and examples
29 pages (article + appendix). 16 figures (8 Article/8 Appendix)
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
In this study, we introduce CobWeb 1.0 which is a graphical user interface tailored explicitly for accurate image segmentation and representative elementary volume analysis of digital rock images derived from high resolution tomography. The CobWeb code is a work package deployed as a series of windows executable bina...
[ { "created": "Thu, 29 Mar 2018 13:13:57 GMT", "version": "v1" }, { "created": "Fri, 6 Apr 2018 13:50:42 GMT", "version": "v2" }, { "created": "Mon, 9 Apr 2018 00:28:36 GMT", "version": "v3" } ]
2018-04-10
[ [ "Chauhan", "Swarup", "", "1 and 2" ], [ "Sell", "Kathleen", "", "2 and 5" ], [ "Enzmann", "Frieder", "" ], [ "Rühaak", "Wolfram", "" ], [ "Wille", "Thorsten", "" ], [ "Sass", "Ingo", "" ], [ "Kersten", ...
In this study, we introduce CobWeb 1.0 which is a graphical user interface tailored explicitly for accurate image segmentation and representative elementary volume analysis of digital rock images derived from high resolution tomography. The CobWeb code is a work package deployed as a series of windows executable binari...
0712.0411
Suresh Thippireddy
Suresh Thippireddy and Sandeep Chalasani
Period of the d-Sequence Based Random Number Generator
8 pages, 4 figures
null
null
null
cs.CR
null
This paper presents an expression to compute the exact period of a recursive random number generator based on d-sequences. Using the multi-recursive version of this generator we can produce large number of pseudorandom sequences.
[ { "created": "Mon, 3 Dec 2007 23:29:42 GMT", "version": "v1" } ]
2007-12-05
[ [ "Thippireddy", "Suresh", "" ], [ "Chalasani", "Sandeep", "" ] ]
This paper presents an expression to compute the exact period of a recursive random number generator based on d-sequences. Using the multi-recursive version of this generator we can produce large number of pseudorandom sequences.
2005.07858
Seunghan Yang
Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim
Partial Domain Adaptation Using Graph Convolutional Networks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Partial domain adaptation (PDA), in which we assume the target label space is included in the source label space, is a general version of standard domain adaptation. Since the target label space is unknown, the main challenge of PDA is to reduce the learning impact of irrelevant source samples, named outliers, which ...
[ { "created": "Sat, 16 May 2020 03:37:38 GMT", "version": "v1" } ]
2020-05-19
[ [ "Yang", "Seunghan", "" ], [ "Kim", "Youngeun", "" ], [ "Jung", "Dongki", "" ], [ "Kim", "Changick", "" ] ]
Partial domain adaptation (PDA), in which we assume the target label space is included in the source label space, is a general version of standard domain adaptation. Since the target label space is unknown, the main challenge of PDA is to reduce the learning impact of irrelevant source samples, named outliers, which do...
1705.00754
Ranjay Krishna
Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, Juan Carlos Niebles
Dense-Captioning Events in Videos
16 pages, 16 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most natural videos contain numerous events. For example, in a video of a "man playing a piano", the video might also contain "another man dancing" or "a crowd clapping". We introduce the task of dense-captioning events, which involves both detecting and describing events in a video. We propose a new model that is ab...
[ { "created": "Tue, 2 May 2017 01:21:58 GMT", "version": "v1" } ]
2017-05-03
[ [ "Krishna", "Ranjay", "" ], [ "Hata", "Kenji", "" ], [ "Ren", "Frederic", "" ], [ "Fei-Fei", "Li", "" ], [ "Niebles", "Juan Carlos", "" ] ]
Most natural videos contain numerous events. For example, in a video of a "man playing a piano", the video might also contain "another man dancing" or "a crowd clapping". We introduce the task of dense-captioning events, which involves both detecting and describing events in a video. We propose a new model that is able...
2104.12046
Xiaowei Xu
Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowe Xu
Quantization of Deep Neural Networks for Accurate Edge Computing
11 pages, 3 figures, 10 tables, accepted by the ACM Journal on Emerging Technologies in Computing Systems (JETC)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications. Due to their large sizes, however, compressiontechniques such as weight quantization and pruning are usually applied before they can be accommodated onthe e...
[ { "created": "Sun, 25 Apr 2021 02:05:12 GMT", "version": "v1" }, { "created": "Thu, 14 Oct 2021 07:14:14 GMT", "version": "v2" } ]
2021-10-15
[ [ "Chen", "Wentao", "" ], [ "Qiu", "Hailong", "" ], [ "Zhuang", "Jian", "" ], [ "Zhang", "Chutong", "" ], [ "Hu", "Yu", "" ], [ "Lu", "Qing", "" ], [ "Wang", "Tianchen", "" ], [ "Shi", "Yiyu", ...
Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications. Due to their large sizes, however, compressiontechniques such as weight quantization and pruning are usually applied before they can be accommodated onthe edg...
1402.2231
William Bradley
J. N. Laska, W. F. Bradley, T. W. Rondeau, K. E. Nolan, and B. Vigoda
Compressive sensing for dynamic spectrum access networks: Techniques and tradeoffs
2011 IEEE Symposium on New Frontiers in Dynamic Spectrum, May 2011
null
10.1109/DYSPAN.2011.5936202
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore the practical costs and benefits of CS for dynamic spectrum access (DSA) networks. Firstly, we review several fast and practical techniques for energy detection without full reconstruction and provide theoretical guarantees. We also define practical metrics to measure the performance of these techniques. S...
[ { "created": "Mon, 10 Feb 2014 18:27:53 GMT", "version": "v1" } ]
2016-11-18
[ [ "Laska", "J. N.", "" ], [ "Bradley", "W. F.", "" ], [ "Rondeau", "T. W.", "" ], [ "Nolan", "K. E.", "" ], [ "Vigoda", "B.", "" ] ]
We explore the practical costs and benefits of CS for dynamic spectrum access (DSA) networks. Firstly, we review several fast and practical techniques for energy detection without full reconstruction and provide theoretical guarantees. We also define practical metrics to measure the performance of these techniques. Sec...
1810.01049
Hu Ding
Hu Ding and Jinhui Xu
A Unified Framework for Clustering Constrained Data without Locality Property
null
null
null
null
cs.CG cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider a class of constrained clustering problems of points in $\mathbb{R}^{d}$, where $d$ could be rather high. A common feature of these problems is that their optimal clusterings no longer have the locality property (due to the additional constraints), which is a key property required by many a...
[ { "created": "Tue, 2 Oct 2018 03:18:15 GMT", "version": "v1" } ]
2018-10-03
[ [ "Ding", "Hu", "" ], [ "Xu", "Jinhui", "" ] ]
In this paper, we consider a class of constrained clustering problems of points in $\mathbb{R}^{d}$, where $d$ could be rather high. A common feature of these problems is that their optimal clusterings no longer have the locality property (due to the additional constraints), which is a key property required by many alg...
1210.2529
Chau Yuen
Mahshad Eslamifar, Woon Hau Chin, Chau Yuen and Yong Liang Guan
Performance Analysis of Two-Step Bi-Directional Relaying with Multiple Antennas
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we study decode-and-forward multi-antenna relay systems that achieve bi-directional communication in two time slots. We investigate different downlink broadcast schemes which employ binary or analog network coding at the relay. We also analyze and compare their performances in terms of diversity order a...
[ { "created": "Tue, 9 Oct 2012 08:41:47 GMT", "version": "v1" } ]
2012-10-10
[ [ "Eslamifar", "Mahshad", "" ], [ "Chin", "Woon Hau", "" ], [ "Yuen", "Chau", "" ], [ "Guan", "Yong Liang", "" ] ]
In this paper we study decode-and-forward multi-antenna relay systems that achieve bi-directional communication in two time slots. We investigate different downlink broadcast schemes which employ binary or analog network coding at the relay. We also analyze and compare their performances in terms of diversity order and...
1806.02918
Maria Shugrina
Maria Shugrina, Amlan Kar, Karan Singh, Sanja Fidler
Color Sails: Discrete-Continuous Palettes for Deep Color Exploration
14 pages, 13 figures
null
null
null
cs.GR cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present color sails, a discrete-continuous color gamut representation that extends the color gradient analogy to three dimensions and allows interactive control of the color blending behavior. Our representation models a wide variety of color distributions in a compact manner, and lends itself to applications such...
[ { "created": "Thu, 7 Jun 2018 22:42:00 GMT", "version": "v1" } ]
2018-06-11
[ [ "Shugrina", "Maria", "" ], [ "Kar", "Amlan", "" ], [ "Singh", "Karan", "" ], [ "Fidler", "Sanja", "" ] ]
We present color sails, a discrete-continuous color gamut representation that extends the color gradient analogy to three dimensions and allows interactive control of the color blending behavior. Our representation models a wide variety of color distributions in a compact manner, and lends itself to applications such a...
2202.08514
Sayed Hashim
Muhammad Ali, Sayed Hashim
Survey on Self-supervised Representation Learning Using Image Transformations
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep neural networks need huge amount of training data, while in real world there is a scarcity of data available for training purposes. To resolve these issues, self-supervised learning (SSL) methods are used. SSL using geometric transformations (GT) is a simple yet powerful technique used in unsupervised representa...
[ { "created": "Thu, 17 Feb 2022 08:37:50 GMT", "version": "v1" } ]
2022-02-18
[ [ "Ali", "Muhammad", "" ], [ "Hashim", "Sayed", "" ] ]
Deep neural networks need huge amount of training data, while in real world there is a scarcity of data available for training purposes. To resolve these issues, self-supervised learning (SSL) methods are used. SSL using geometric transformations (GT) is a simple yet powerful technique used in unsupervised representati...
2207.04145
Neil Perry
Neil Perry, Bruce Spang, Saba Eskandarian, Dan Boneh
Strong Anonymity for Mesh Messaging
21 pages, 11 figures; added reference to introduction
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Messaging systems built on mesh networks consisting of smartphones communicating over Bluetooth have been used by protesters around the world after governments have disrupted Internet connectivity. Unfortunately, existing systems have been shown to be insecure; most concerningly by not adequately hiding metadata. Thi...
[ { "created": "Fri, 8 Jul 2022 22:25:27 GMT", "version": "v1" }, { "created": "Mon, 22 Aug 2022 19:50:51 GMT", "version": "v2" } ]
2022-08-24
[ [ "Perry", "Neil", "" ], [ "Spang", "Bruce", "" ], [ "Eskandarian", "Saba", "" ], [ "Boneh", "Dan", "" ] ]
Messaging systems built on mesh networks consisting of smartphones communicating over Bluetooth have been used by protesters around the world after governments have disrupted Internet connectivity. Unfortunately, existing systems have been shown to be insecure; most concerningly by not adequately hiding metadata. This ...
1502.05767
Atilim Gunes Baydin
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind
Automatic differentiation in machine learning: a survey
43 pages, 5 figures
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind. Automatic differentiation in machine learning: a survey. The Journal of Machine Learning Research, 18(153):1--43, 2018
null
null
cs.SC cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply "autodiff", is a family of techniques similar to but more general than backpropagation for efficiently and accurately evaluating derivatives ...
[ { "created": "Fri, 20 Feb 2015 04:20:47 GMT", "version": "v1" }, { "created": "Sun, 19 Apr 2015 16:49:13 GMT", "version": "v2" }, { "created": "Thu, 17 Aug 2017 16:45:07 GMT", "version": "v3" }, { "created": "Mon, 5 Feb 2018 15:57:57 GMT", "version": "v4" } ]
2018-07-18
[ [ "Baydin", "Atilim Gunes", "" ], [ "Pearlmutter", "Barak A.", "" ], [ "Radul", "Alexey Andreyevich", "" ], [ "Siskind", "Jeffrey Mark", "" ] ]
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply "autodiff", is a family of techniques similar to but more general than backpropagation for efficiently and accurately evaluating derivatives of...
2406.02771
Kathrin Donandt
Kathrin Donandt, Karim B\"ottger, Dirk S\"offker
Improved context-sensitive transformer model for inland vessel trajectory prediction
null
Proceedings of the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, pp. 5903-5908
10.1109/ITSC57777.2023.10422417
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Physics-related and model-based vessel trajectory prediction is highly accurate but requires specific knowledge of the vessel under consideration which is not always practical. Machine learning-based trajectory prediction models do not require expert knowledge, but rely on the implicit knowledge extracted from massiv...
[ { "created": "Tue, 4 Jun 2024 20:39:14 GMT", "version": "v1" } ]
2024-06-06
[ [ "Donandt", "Kathrin", "" ], [ "Böttger", "Karim", "" ], [ "Söffker", "Dirk", "" ] ]
Physics-related and model-based vessel trajectory prediction is highly accurate but requires specific knowledge of the vessel under consideration which is not always practical. Machine learning-based trajectory prediction models do not require expert knowledge, but rely on the implicit knowledge extracted from massive ...
1811.06147
Joel Mackenzie
Rodger Benham, Joel Mackenzie, Alistair Moffat, and J. Shane Culpepper
Boosting Search Performance Using Query Variations
Published in ACM TOIS, 2019
null
10.1145/3345001
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. However, to date fusion has not been regarded as being cost-effective in cases where strict per-query efficiency guarantees are required, such as in web search. In this work we propose a novel solu...
[ { "created": "Thu, 15 Nov 2018 02:43:06 GMT", "version": "v1" }, { "created": "Tue, 10 Nov 2020 00:34:14 GMT", "version": "v2" } ]
2020-11-11
[ [ "Benham", "Rodger", "" ], [ "Mackenzie", "Joel", "" ], [ "Moffat", "Alistair", "" ], [ "Culpepper", "J. Shane", "" ] ]
Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. However, to date fusion has not been regarded as being cost-effective in cases where strict per-query efficiency guarantees are required, such as in web search. In this work we propose a novel soluti...
2408.05094
Tingchen Fu
Tingchen Fu, Yupeng Hou, Julian McAuley, Rui Yan
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The task of multi-objective alignment aims at balancing and controlling the different alignment objectives (e.g., helpfulness, harmlessness and honesty) of large language models to meet the personalized requirements of different users. However, previous methods tend to train multiple models to deal with various user ...
[ { "created": "Fri, 9 Aug 2024 14:36:42 GMT", "version": "v1" } ]
2024-08-12
[ [ "Fu", "Tingchen", "" ], [ "Hou", "Yupeng", "" ], [ "McAuley", "Julian", "" ], [ "Yan", "Rui", "" ] ]
The task of multi-objective alignment aims at balancing and controlling the different alignment objectives (e.g., helpfulness, harmlessness and honesty) of large language models to meet the personalized requirements of different users. However, previous methods tend to train multiple models to deal with various user pr...
1710.08868
Bence Zuti
Bence Zuti
Modern-day Universities and Regional Development
Conference Paper
ISBN 978-963-89779-2-2. 2014. pp. 221-228
10.5281/zenodo.227114
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Nowadays it is quite evident that knowledge-based society necessarily involves the revaluation of human and intangible assets, as the advancement of local economies significantly depend on the qualitative and quantitative characteristics of human capital[Lundvall, 2004]. As we can instantaneously link the universitie...
[ { "created": "Thu, 19 Oct 2017 06:45:57 GMT", "version": "v1" } ]
2017-10-27
[ [ "Zuti", "Bence", "" ] ]
Nowadays it is quite evident that knowledge-based society necessarily involves the revaluation of human and intangible assets, as the advancement of local economies significantly depend on the qualitative and quantitative characteristics of human capital[Lundvall, 2004]. As we can instantaneously link the universities ...
2312.00845
Jong Chul Ye
Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Project page: https://video-motion-customization.github.io
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Text-to-video diffusion models have advanced video generation significantly. However, customizing these models to generate videos with tailored motions presents a substantial challenge. In specific, they encounter hurdles in (a) accurately reproducing motion from a target video, and (b) creating diverse visual variat...
[ { "created": "Fri, 1 Dec 2023 06:50:11 GMT", "version": "v1" } ]
2023-12-05
[ [ "Jeong", "Hyeonho", "" ], [ "Park", "Geon Yeong", "" ], [ "Ye", "Jong Chul", "" ] ]
Text-to-video diffusion models have advanced video generation significantly. However, customizing these models to generate videos with tailored motions presents a substantial challenge. In specific, they encounter hurdles in (a) accurately reproducing motion from a target video, and (b) creating diverse visual variatio...
2404.15435
S\"uleyman \"Ozdel
Enkelejda Kasneci, Hong Gao, Suleyman Ozdel, Virmarie Maquiling, Enkeleda Thaqi, Carrie Lau, Yao Rong, Gjergji Kasneci, Efe Bozkir
Introduction to Eye Tracking: A Hands-On Tutorial for Students and Practitioners
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Eye-tracking technology is widely used in various application areas such as psychology, neuroscience, marketing, and human-computer interaction, as it is a valuable tool for understanding how people process information and interact with their environment. This tutorial provides a comprehensive introduction to eye tra...
[ { "created": "Tue, 23 Apr 2024 18:25:05 GMT", "version": "v1" } ]
2024-04-25
[ [ "Kasneci", "Enkelejda", "" ], [ "Gao", "Hong", "" ], [ "Ozdel", "Suleyman", "" ], [ "Maquiling", "Virmarie", "" ], [ "Thaqi", "Enkeleda", "" ], [ "Lau", "Carrie", "" ], [ "Rong", "Yao", "" ], [ "Kas...
Eye-tracking technology is widely used in various application areas such as psychology, neuroscience, marketing, and human-computer interaction, as it is a valuable tool for understanding how people process information and interact with their environment. This tutorial provides a comprehensive introduction to eye track...
2009.07185
Gregor Betz
Gregor Betz and Christian Voigt and Kyle Richardson
Critical Thinking for Language Models
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper takes a first step towards a critical thinking curriculum for neural auto-regressive language models. We introduce a synthetic corpus of deductively valid arguments, and generate artificial argumentative texts to train and evaluate GPT-2. Significant transfer learning effects can be observed: Training a mo...
[ { "created": "Tue, 15 Sep 2020 15:49:19 GMT", "version": "v1" }, { "created": "Thu, 17 Dec 2020 14:42:42 GMT", "version": "v2" } ]
2020-12-18
[ [ "Betz", "Gregor", "" ], [ "Voigt", "Christian", "" ], [ "Richardson", "Kyle", "" ] ]
This paper takes a first step towards a critical thinking curriculum for neural auto-regressive language models. We introduce a synthetic corpus of deductively valid arguments, and generate artificial argumentative texts to train and evaluate GPT-2. Significant transfer learning effects can be observed: Training a mode...
1712.09552
Yogesh Simmhan
Yogesh Simmhan
Big Data and Fog Computing
To Appear as a contribution in Encyclopedia of Big Data Technologies, Sherif Sakr and Albert Zomaya eds., Springer Nature, 2018
Book chapter "Big Data and Fog Computing", 2018. In: Encyclopedia of Big Data Technologies, Sakr S., Zomaya A. (eds), Springer, Cham
10.1007/978-3-319-63962-8_41-1
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fog computing serves as a computing layer that sits between the edge devices and the cloud in the network topology. They have more compute capacity than the edge but much less so than cloud data centers. They typically have high uptime and always-on Internet connectivity. Applications that make use of the fog can avo...
[ { "created": "Wed, 27 Dec 2017 11:27:30 GMT", "version": "v1" } ]
2019-05-13
[ [ "Simmhan", "Yogesh", "" ] ]
Fog computing serves as a computing layer that sits between the edge devices and the cloud in the network topology. They have more compute capacity than the edge but much less so than cloud data centers. They typically have high uptime and always-on Internet connectivity. Applications that make use of the fog can avoid...
1911.04708
Shingo Fujimoto
Shingo Fujimoto, Yoshiki Higashikado, Takuma Takeuchi
ConnectionChain: Secure Interworking of Blockchains
4 pages, 5 figures, posted for IEEE BCCA 2019
null
10.1109/IOTSMS48152.2019.8939267
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blockchain is a core technology to manage the value of cryptocurrencies, or to record trails of important business trades. The Smart Contract on blockchain is expected to improve security on blockchain system with automated operation, but it cannot be the solution when the application service required to operate tigh...
[ { "created": "Tue, 12 Nov 2019 07:35:10 GMT", "version": "v1" } ]
2020-01-07
[ [ "Fujimoto", "Shingo", "" ], [ "Higashikado", "Yoshiki", "" ], [ "Takeuchi", "Takuma", "" ] ]
Blockchain is a core technology to manage the value of cryptocurrencies, or to record trails of important business trades. The Smart Contract on blockchain is expected to improve security on blockchain system with automated operation, but it cannot be the solution when the application service required to operate tightl...
2309.05885
Oliver Bra\v{c}evac
Yuyan Bao, Guannan Wei, Oliver Bra\v{c}evac, and Tiark Rompf
Modeling Reachability Types with Logical Relations
null
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Reachability types are a recent proposal to bring Rust-style reasoning about memory properties to higher-level languages. While key type soundness results for reachability types have been established using syntactic techniques in prior work, stronger metatheoretic properties have so far been unexplored. This paper pr...
[ { "created": "Tue, 12 Sep 2023 00:13:53 GMT", "version": "v1" } ]
2023-09-13
[ [ "Bao", "Yuyan", "" ], [ "Wei", "Guannan", "" ], [ "Bračevac", "Oliver", "" ], [ "Rompf", "Tiark", "" ] ]
Reachability types are a recent proposal to bring Rust-style reasoning about memory properties to higher-level languages. While key type soundness results for reachability types have been established using syntactic techniques in prior work, stronger metatheoretic properties have so far been unexplored. This paper pres...
0809.3009
Grenville Croll
Karin Hodnigg, Roland T. Mittermeir
Metrics-Based Spreadsheet Visualization: Support for Focused Maintenance
16 Pages, 7 Colour Figures
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2008 79-94 ISBN 978-905617-69-2
null
null
cs.SE cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Legacy spreadsheets are both, an asset, and an enduring problem concerning spreadsheets in business. To make spreadsheets stay alive and remain correct, comprehension of a given spreadsheet is highly important. Visualization techniques should ease the complex and mindblowing challenges of finding structures in a huge...
[ { "created": "Wed, 17 Sep 2008 20:58:29 GMT", "version": "v1" } ]
2008-09-19
[ [ "Hodnigg", "Karin", "" ], [ "Mittermeir", "Roland T.", "" ] ]
Legacy spreadsheets are both, an asset, and an enduring problem concerning spreadsheets in business. To make spreadsheets stay alive and remain correct, comprehension of a given spreadsheet is highly important. Visualization techniques should ease the complex and mindblowing challenges of finding structures in a huge s...
1301.6209
Jung Hyun Bae
Jung Hyun Bae, Jungwon Lee, Inyup Kang
On the achievable region for interference networks with point-to-point codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies evaluation of the capacity region for interference networks with point-to-point (p2p) capacity-achieving codes. Such capacity region has recently been characterized as union of several sub-regions each of which has distinctive operational characteristics. Detailed evaluation of this region, therefo...
[ { "created": "Sat, 26 Jan 2013 04:29:54 GMT", "version": "v1" } ]
2013-01-29
[ [ "Bae", "Jung Hyun", "" ], [ "Lee", "Jungwon", "" ], [ "Kang", "Inyup", "" ] ]
This paper studies evaluation of the capacity region for interference networks with point-to-point (p2p) capacity-achieving codes. Such capacity region has recently been characterized as union of several sub-regions each of which has distinctive operational characteristics. Detailed evaluation of this region, therefore...
1905.07356
Matthijs Westera
Matthijs Westera and Gemma Boleda
Don't Blame Distributional Semantics if it can't do Entailment
To appear in Proceedings of the 13th International Conference on Computational Semantics (IWCS 2019), Gothenburg, Sweden
null
null
null
cs.CL cs.AI cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributional semantics has had enormous empirical success in Computational Linguistics and Cognitive Science in modeling various semantic phenomena, such as semantic similarity, and distributional models are widely used in state-of-the-art Natural Language Processing systems. However, the theoretical status of dist...
[ { "created": "Fri, 17 May 2019 16:26:05 GMT", "version": "v1" } ]
2019-05-20
[ [ "Westera", "Matthijs", "" ], [ "Boleda", "Gemma", "" ] ]
Distributional semantics has had enormous empirical success in Computational Linguistics and Cognitive Science in modeling various semantic phenomena, such as semantic similarity, and distributional models are widely used in state-of-the-art Natural Language Processing systems. However, the theoretical status of distri...
1206.1418
Dinh Que Tran
Thuy Van T. Duong, Dinh Que Tran and Cong Hung Tran
A weighted combination similarity measure for mobility patterns in wireless networks
15 pages, 2 figures; International Journal of Computer Networks & Communications (IJCNC) http://airccse.org/journal/ijc2012.html
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The similarity between trajectory patterns in clustering has played an important role in discovering movement behaviour of different groups of mobile objects. Several approaches have been proposed to measure the similarity between sequences in trajectory data. Most of these measures are based on Euclidean space or on...
[ { "created": "Thu, 7 Jun 2012 07:58:18 GMT", "version": "v1" } ]
2012-06-08
[ [ "Duong", "Thuy Van T.", "" ], [ "Tran", "Dinh Que", "" ], [ "Tran", "Cong Hung", "" ] ]
The similarity between trajectory patterns in clustering has played an important role in discovering movement behaviour of different groups of mobile objects. Several approaches have been proposed to measure the similarity between sequences in trajectory data. Most of these measures are based on Euclidean space or on s...
1707.01696
Yanlong Huang
Yanlong Huang, Jo\~ao Silv\'erio, Leonel Rozo, and Darwin G. Caldwell
Generalized Task-Parameterized Skill Learning
8 pages
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Programming by demonstration has recently gained much attention due to its user-friendly and natural way to transfer human skills to robots. In order to facilitate the learning of multiple demonstrations and meanwhile generalize to new situations, a task-parameterized Gaussian mixture model (TP-GMM) has been recently...
[ { "created": "Thu, 6 Jul 2017 09:08:08 GMT", "version": "v1" }, { "created": "Mon, 5 Mar 2018 15:52:51 GMT", "version": "v2" } ]
2018-03-06
[ [ "Huang", "Yanlong", "" ], [ "Silvério", "João", "" ], [ "Rozo", "Leonel", "" ], [ "Caldwell", "Darwin G.", "" ] ]
Programming by demonstration has recently gained much attention due to its user-friendly and natural way to transfer human skills to robots. In order to facilitate the learning of multiple demonstrations and meanwhile generalize to new situations, a task-parameterized Gaussian mixture model (TP-GMM) has been recently d...
2110.14340
Kazuaki Matsumura
Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Pe\~na
JACC: An OpenACC Runtime Framework with Kernel-Level and Multi-GPU Parallelization
Extended version of a paper to appear in: Proceedings of the 28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), December 17-18, 2021
null
10.1109/HiPC53243.2021.00032
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such models involve a least engineering cost for enabling computational acceleration on multiple architec...
[ { "created": "Wed, 27 Oct 2021 10:43:48 GMT", "version": "v1" }, { "created": "Fri, 17 Dec 2021 14:05:57 GMT", "version": "v2" }, { "created": "Wed, 27 Apr 2022 12:43:52 GMT", "version": "v3" } ]
2022-04-28
[ [ "Matsumura", "Kazuaki", "" ], [ "De Gonzalo", "Simon Garcia", "" ], [ "Peña", "Antonio J.", "" ] ]
The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such models involve a least engineering cost for enabling computational acceleration on multiple architectu...
0712.0271
Enrico Magli
M. Grangetto, E. Magli, G. Olmo
Distributed Arithmetic Coding for the Asymmetric Slepian-Wolf problem
submitted to IEEE Transactions on Signal processing, Nov. 2007. Revised version accepted with minor revisions
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed source coding schemes are typically based on the use of channels codes as source codes. In this paper we propose a new paradigm, termed "distributed arithmetic coding", which exploits the fact that arithmetic codes are good source as well as channel codes. In particular, we propose a distributed binary ar...
[ { "created": "Mon, 3 Dec 2007 12:27:00 GMT", "version": "v1" }, { "created": "Tue, 11 Nov 2008 09:29:16 GMT", "version": "v2" } ]
2008-11-11
[ [ "Grangetto", "M.", "" ], [ "Magli", "E.", "" ], [ "Olmo", "G.", "" ] ]
Distributed source coding schemes are typically based on the use of channels codes as source codes. In this paper we propose a new paradigm, termed "distributed arithmetic coding", which exploits the fact that arithmetic codes are good source as well as channel codes. In particular, we propose a distributed binary arit...
1601.06744
Yongge Wang
Yongge Wang
Octonion Algebra and Noise-Free Fully Homomorphic Encryption (FHE) Schemes
this paper has some issues to be addressed
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Brakerski showed that linearly decryptable fully homomorphic encryption (FHE) schemes cannot be secure in the chosen plaintext attack (CPA) model. In this paper, we show that linearly decryptable FHE schemes cannot be secure even in the ciphertext only security model. Then we consider the maximum security that a line...
[ { "created": "Mon, 25 Jan 2016 19:55:57 GMT", "version": "v1" }, { "created": "Tue, 22 Mar 2016 08:46:42 GMT", "version": "v2" }, { "created": "Fri, 24 Feb 2017 03:34:31 GMT", "version": "v3" }, { "created": "Thu, 6 Jun 2019 10:11:54 GMT", "version": "v4" } ]
2019-06-07
[ [ "Wang", "Yongge", "" ] ]
Brakerski showed that linearly decryptable fully homomorphic encryption (FHE) schemes cannot be secure in the chosen plaintext attack (CPA) model. In this paper, we show that linearly decryptable FHE schemes cannot be secure even in the ciphertext only security model. Then we consider the maximum security that a linear...
1210.6447
Om Prakash
S. Yashvir, Om Prakash
Disk Scheduling: Selection of Algorithm
9 pages; http://www.ijascse.in/publications-2012--2
null
null
null
cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The objective of this paper is to take some aspects of disk scheduling and scheduling algorithms. The disk scheduling is discussed with a sneak peak in general and selection of algorithm in particular.
[ { "created": "Wed, 24 Oct 2012 07:56:48 GMT", "version": "v1" } ]
2012-10-25
[ [ "Yashvir", "S.", "" ], [ "Prakash", "Om", "" ] ]
The objective of this paper is to take some aspects of disk scheduling and scheduling algorithms. The disk scheduling is discussed with a sneak peak in general and selection of algorithm in particular.
1106.0436
Venkatesan Guruswami
Venkatesan Guruswami
Linear-algebraic list decoding of folded Reed-Solomon codes
16 pages. Extended abstract in Proc. of IEEE Conference on Computational Complexity (CCC), 2011
null
10.1109/CCC.2011.22
null
cs.IT cs.DS math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Folded Reed-Solomon codes are an explicit family of codes that achieve the optimal trade-off between rate and error-correction capability: specifically, for any $\eps > 0$, the author and Rudra (2006,08) presented an $n^{O(1/\eps)}$ time algorithm to list decode appropriate folded RS codes of rate $R$ from a fraction...
[ { "created": "Thu, 2 Jun 2011 14:18:27 GMT", "version": "v1" } ]
2016-11-17
[ [ "Guruswami", "Venkatesan", "" ] ]
Folded Reed-Solomon codes are an explicit family of codes that achieve the optimal trade-off between rate and error-correction capability: specifically, for any $\eps > 0$, the author and Rudra (2006,08) presented an $n^{O(1/\eps)}$ time algorithm to list decode appropriate folded RS codes of rate $R$ from a fraction $...
2102.05218
Qian Yang
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin
FLOP: Federated Learning on Medical Datasets using Partial Networks
To appear in KDD 2021
null
10.1145/3447548.3467185
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The outbreak of COVID-19 Disease due to the novel coronavirus has caused a shortage of medical resources. To aid and accelerate the diagnosis process, automatic diagnosis of COVID-19 via deep learning models has recently been explored by researchers across the world. While different data-driven deep learning models h...
[ { "created": "Wed, 10 Feb 2021 01:56:58 GMT", "version": "v1" }, { "created": "Wed, 23 Jun 2021 01:41:15 GMT", "version": "v2" } ]
2021-06-24
[ [ "Yang", "Qian", "" ], [ "Zhang", "Jianyi", "" ], [ "Hao", "Weituo", "" ], [ "Spell", "Gregory", "" ], [ "Carin", "Lawrence", "" ] ]
The outbreak of COVID-19 Disease due to the novel coronavirus has caused a shortage of medical resources. To aid and accelerate the diagnosis process, automatic diagnosis of COVID-19 via deep learning models has recently been explored by researchers across the world. While different data-driven deep learning models hav...
2402.00724
Jan Valo\v{s}ek
Jan Valosek, Theo Mathieu, Raphaelle Schlienger, Olivia S. Kowalczyk, Julien Cohen-Adad
Automatic Segmentation of the Spinal Cord Nerve Rootlets
null
Imaging Neuroscience, 2 (2024) 1-14
10.1162/imag_a_00218
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Precise identification of spinal nerve rootlets is relevant to delineate spinal levels for the study of functional activity in the spinal cord. The goal of this study was to develop an automatic method for the semantic segmentation of spinal nerve rootlets from T2-weighted magnetic resonance imaging (MRI) scans. Imag...
[ { "created": "Thu, 1 Feb 2024 16:14:54 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 05:46:56 GMT", "version": "v2" } ]
2024-07-26
[ [ "Valosek", "Jan", "" ], [ "Mathieu", "Theo", "" ], [ "Schlienger", "Raphaelle", "" ], [ "Kowalczyk", "Olivia S.", "" ], [ "Cohen-Adad", "Julien", "" ] ]
Precise identification of spinal nerve rootlets is relevant to delineate spinal levels for the study of functional activity in the spinal cord. The goal of this study was to develop an automatic method for the semantic segmentation of spinal nerve rootlets from T2-weighted magnetic resonance imaging (MRI) scans. Images...
1310.7962
Pece Mitrevski
Pece Mitrevski, Olivera Kostoska and Marjan Angeleski
E-Business Implications for Productivity and Competitiveness
null
Annals of the "Constantin Brancusi" University of Targu - Jiu, Economy Series, Issue 1/2009, ISSN 1844-7007, pp. 253-262
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Information and Communication Technology (ICT) affects to a great extent the output and productivity growth. Evidence suggests that investment growth in ICT has rapidly accelerated the TFP (total factor productivity) growth within the European Union. Such progress is particularly essential for the sectors which thems...
[ { "created": "Sat, 14 Sep 2013 18:01:29 GMT", "version": "v1" } ]
2013-10-31
[ [ "Mitrevski", "Pece", "" ], [ "Kostoska", "Olivera", "" ], [ "Angeleski", "Marjan", "" ] ]
Information and Communication Technology (ICT) affects to a great extent the output and productivity growth. Evidence suggests that investment growth in ICT has rapidly accelerated the TFP (total factor productivity) growth within the European Union. Such progress is particularly essential for the sectors which themsel...
2207.10290
Xiaoliang Liu
Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance
Accepted by ICME2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks are powerful, but they also have shortcomings such as their sensitivity to adversarial examples, noise, blur, occlusion, etc. Moreover, ensuring the reliability and robustness of deep neural network models is crucial for their application in safety-critical areas. Much previous work has been prop...
[ { "created": "Thu, 21 Jul 2022 04:02:24 GMT", "version": "v1" } ]
2022-07-22
[ [ "Liu", "Xiaoliang", "" ], [ "Shen", "Furao", "" ], [ "Zhao", "Jian", "" ], [ "Nie", "Changhai", "" ] ]
Deep neural networks are powerful, but they also have shortcomings such as their sensitivity to adversarial examples, noise, blur, occlusion, etc. Moreover, ensuring the reliability and robustness of deep neural network models is crucial for their application in safety-critical areas. Much previous work has been propos...
2107.12637
Rajashekhar V S
Rajashekhar Vachiravelu Saminathan
Topology Design and Position Analysis of a Reconfigurable Modular Hybrid-Parallel Manipulator
11 pages, 14 figures, Accepted for IDETC/CIE 2019 the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
In the modern days, manipulators are found in the automated assembly lines of industries that produce products in masses. These manipulators can be used only in one configuration, that is either serial or parallel. In this paper, a new module which has two degrees of freedom is introduced. By connecting the two and t...
[ { "created": "Tue, 27 Jul 2021 07:19:14 GMT", "version": "v1" } ]
2021-07-28
[ [ "Saminathan", "Rajashekhar Vachiravelu", "" ] ]
In the modern days, manipulators are found in the automated assembly lines of industries that produce products in masses. These manipulators can be used only in one configuration, that is either serial or parallel. In this paper, a new module which has two degrees of freedom is introduced. By connecting the two and thr...
1804.08813
Wenpeng Yin
Wenpeng Yin, Hinrich Sch\"utze and Dan Roth
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
ACL'2018 camera-ready; 6 pages, 3 figures
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work deals with SciTail, a natural entailment challenge derived from a multi-choice question answering problem. The premises and hypotheses in SciTail were generated with no awareness of each other, and did not specifically aim at the entailment task. This makes it more challenging than other entailment data set...
[ { "created": "Tue, 24 Apr 2018 02:29:14 GMT", "version": "v1" }, { "created": "Sat, 12 May 2018 03:29:42 GMT", "version": "v2" }, { "created": "Tue, 15 May 2018 03:53:53 GMT", "version": "v3" } ]
2018-05-16
[ [ "Yin", "Wenpeng", "" ], [ "Schütze", "Hinrich", "" ], [ "Roth", "Dan", "" ] ]
This work deals with SciTail, a natural entailment challenge derived from a multi-choice question answering problem. The premises and hypotheses in SciTail were generated with no awareness of each other, and did not specifically aim at the entailment task. This makes it more challenging than other entailment data sets ...
2106.04715
John Mern
John Mern, Mykel J. Kochenderfer
Measurable Monte Carlo Search Error Bounds
9 pages, submitted to ALT 2022
null
null
null
cs.AI cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
Monte Carlo planners can often return sub-optimal actions, even if they are guaranteed to converge in the limit of infinite samples. Known asymptotic regret bounds do not provide any way to measure confidence of a recommended action at the conclusion of search. In this work, we prove bounds on the sub-optimality of M...
[ { "created": "Tue, 8 Jun 2021 22:20:14 GMT", "version": "v1" }, { "created": "Tue, 2 Nov 2021 23:44:05 GMT", "version": "v2" } ]
2021-11-04
[ [ "Mern", "John", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Monte Carlo planners can often return sub-optimal actions, even if they are guaranteed to converge in the limit of infinite samples. Known asymptotic regret bounds do not provide any way to measure confidence of a recommended action at the conclusion of search. In this work, we prove bounds on the sub-optimality of Mon...
1905.03179
Rahul Shome
Rahul Shome and Kostas E. Bekris
Anytime Multi-arm Task and Motion Planning for Pick-and-Place of Individual Objects via Handoffs
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automation applications are pushing the deployment of many high DoF manipulators in warehouse and manufacturing environments. This has motivated many efforts on optimizing manipulation tasks involving a single arm. Coordinating multiple arms for manipulation, however, introduces additional computational challenges ar...
[ { "created": "Wed, 8 May 2019 16:07:56 GMT", "version": "v1" } ]
2019-05-09
[ [ "Shome", "Rahul", "" ], [ "Bekris", "Kostas E.", "" ] ]
Automation applications are pushing the deployment of many high DoF manipulators in warehouse and manufacturing environments. This has motivated many efforts on optimizing manipulation tasks involving a single arm. Coordinating multiple arms for manipulation, however, introduces additional computational challenges aris...
2105.14550
Wei Sun
Wei Sun and Xiongkuo Min and Danyang Tu and Guangtao Zhai and Siwei Ma
Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Training
Accepted by IEEE Journal of Selected Topics in Signal Processing
null
10.1109/JSTSP.2023.3270621
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE) and also benefit lots of computer vision algorithms. Most existing blind image quality assessment (BIQA) models were developed for synth...
[ { "created": "Sun, 30 May 2021 14:04:10 GMT", "version": "v1" }, { "created": "Mon, 22 Nov 2021 04:54:44 GMT", "version": "v2" }, { "created": "Thu, 27 Apr 2023 07:18:31 GMT", "version": "v3" } ]
2023-04-28
[ [ "Sun", "Wei", "" ], [ "Min", "Xiongkuo", "" ], [ "Tu", "Danyang", "" ], [ "Zhai", "Guangtao", "" ], [ "Ma", "Siwei", "" ] ]
Image quality assessment (IQA) is very important for both end-users and service providers since a high-quality image can significantly improve the user's quality of experience (QoE) and also benefit lots of computer vision algorithms. Most existing blind image quality assessment (BIQA) models were developed for synthet...
2301.05873
Paramita Koley
Paramita Koley, Aurghya Maiti, Niloy Ganguly and Sourangshu Bhattacharya
Opponent-aware Role-based Learning in Team Competitive Markov Games
9 pages, 6 figures
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Team competition in multi-agent Markov games is an increasingly important setting for multi-agent reinforcement learning, due to its general applicability in modeling many real-life situations. Multi-agent actor-critic methods are the most suitable class of techniques for learning optimal policies in the team competi...
[ { "created": "Sat, 14 Jan 2023 09:50:48 GMT", "version": "v1" } ]
2023-01-18
[ [ "Koley", "Paramita", "" ], [ "Maiti", "Aurghya", "" ], [ "Ganguly", "Niloy", "" ], [ "Bhattacharya", "Sourangshu", "" ] ]
Team competition in multi-agent Markov games is an increasingly important setting for multi-agent reinforcement learning, due to its general applicability in modeling many real-life situations. Multi-agent actor-critic methods are the most suitable class of techniques for learning optimal policies in the team competiti...
2110.09365
Sourav Mondal
Sourav Mondal and Marco Ruffini
Optical Front/Mid-haul with Open Access-Edge Server Deployment Framework for Sliced O-RAN
This is the final version to be published in IEEE Transactions on Network and Service Management (TNSM). Copyright @ IEEE
null
10.1109/TNSM.2022.3173915
null
cs.NI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The fifth-generation of mobile radio technologies is expected to be agile, flexible, and scalable while provisioning ultra-reliable and low-latency communication (uRLLC), enhanced mobile broadband (eMBB), and massive machine type communication (mMTC) applications. An efficient way of implementing these is by adopting...
[ { "created": "Mon, 18 Oct 2021 14:49:05 GMT", "version": "v1" }, { "created": "Tue, 19 Oct 2021 03:05:35 GMT", "version": "v2" }, { "created": "Sun, 23 Jan 2022 06:49:37 GMT", "version": "v3" }, { "created": "Sun, 8 May 2022 09:31:31 GMT", "version": "v4" } ]
2022-05-10
[ [ "Mondal", "Sourav", "" ], [ "Ruffini", "Marco", "" ] ]
The fifth-generation of mobile radio technologies is expected to be agile, flexible, and scalable while provisioning ultra-reliable and low-latency communication (uRLLC), enhanced mobile broadband (eMBB), and massive machine type communication (mMTC) applications. An efficient way of implementing these is by adopting c...
1903.07024
Debajyoti Mondal
Prosenjit Bose, Paz Carmi, J. Mark Keil, Anil Maheshwari, Saeed Mehrabi, Debajyoti Mondal, and Michiel Smid
Computing Maximum Independent Set on Outerstring Graphs and Their Relatives
A preliminary version of this paper appeared in the 16th International Symposium on Algorithms and Data Structures (WADS 2019)
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A graph $G$ with $n$ vertices is called an outerstring graph if it has an intersection representation of a set of $n$ curves inside a disk such that one endpoint of every curve is attached to the boundary of the disk. Given an outerstring graph representation, the Maximum Independent Set (MIS) problem of the underlyi...
[ { "created": "Sun, 17 Mar 2019 04:06:26 GMT", "version": "v1" }, { "created": "Sun, 1 Aug 2021 19:42:19 GMT", "version": "v2" } ]
2021-08-03
[ [ "Bose", "Prosenjit", "" ], [ "Carmi", "Paz", "" ], [ "Keil", "J. Mark", "" ], [ "Maheshwari", "Anil", "" ], [ "Mehrabi", "Saeed", "" ], [ "Mondal", "Debajyoti", "" ], [ "Smid", "Michiel", "" ] ]
A graph $G$ with $n$ vertices is called an outerstring graph if it has an intersection representation of a set of $n$ curves inside a disk such that one endpoint of every curve is attached to the boundary of the disk. Given an outerstring graph representation, the Maximum Independent Set (MIS) problem of the underlying...
2010.01017
Qinbin Li
Qinbin Li, Bingsheng He, Dawn Song
Practical One-Shot Federated Learning for Cross-Silo Setting
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Federated learning enables multiple parties to collaboratively learn a model without exchanging their data. While most existing federated learning algorithms need many rounds to converge, one-shot federated learning (i.e., federated learning with a single communication round) is a promising approach to make federated...
[ { "created": "Fri, 2 Oct 2020 14:09:10 GMT", "version": "v1" }, { "created": "Thu, 20 May 2021 13:25:47 GMT", "version": "v2" } ]
2021-05-21
[ [ "Li", "Qinbin", "" ], [ "He", "Bingsheng", "" ], [ "Song", "Dawn", "" ] ]
Federated learning enables multiple parties to collaboratively learn a model without exchanging their data. While most existing federated learning algorithms need many rounds to converge, one-shot federated learning (i.e., federated learning with a single communication round) is a promising approach to make federated l...
2001.02390
Corey Lammie
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Training Progressively Binarizing Deep Networks Using FPGAs
Accepted at 2020 IEEE International Symposium on Circuits and Systems (ISCAS)
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
10.1109/ISCAS45731.2020.9181099
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by-nc-sa/4.0/
While hardware implementations of inference routines for Binarized Neural Networks (BNNs) are plentiful, current realizations of efficient BNN hardware training accelerators, suitable for Internet of Things (IoT) edge devices, leave much to be desired. Conventional BNN hardware training accelerators perform forward a...
[ { "created": "Wed, 8 Jan 2020 06:01:13 GMT", "version": "v1" } ]
2021-02-18
[ [ "Lammie", "Corey", "" ], [ "Xiang", "Wei", "" ], [ "Azghadi", "Mostafa Rahimi", "" ] ]
While hardware implementations of inference routines for Binarized Neural Networks (BNNs) are plentiful, current realizations of efficient BNN hardware training accelerators, suitable for Internet of Things (IoT) edge devices, leave much to be desired. Conventional BNN hardware training accelerators perform forward and...
2003.04947
Kristen Morse
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
Learning State-Dependent Losses for Inverse Dynamics Learning
9 pages, 8 figures, accepted to IROS 2020, * Kristen Morse and Neha Das had equal contribution
null
10.1109/IROS45743.2020.9341701
null
cs.RO cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Being able to quickly adapt to changes in dynamics is paramount in model-based control for object manipulation tasks. In order to influence fast adaptation of the inverse dynamics model's parameters, data efficiency is crucial. Given observed data, a key element to how an optimizer updates model parameters is the los...
[ { "created": "Tue, 10 Mar 2020 19:54:54 GMT", "version": "v1" }, { "created": "Thu, 12 Mar 2020 16:16:12 GMT", "version": "v2" }, { "created": "Fri, 14 Aug 2020 21:15:56 GMT", "version": "v3" } ]
2022-11-28
[ [ "Morse", "Kristen", "" ], [ "Das", "Neha", "" ], [ "Lin", "Yixin", "" ], [ "Wang", "Austin S.", "" ], [ "Rai", "Akshara", "" ], [ "Meier", "Franziska", "" ] ]
Being able to quickly adapt to changes in dynamics is paramount in model-based control for object manipulation tasks. In order to influence fast adaptation of the inverse dynamics model's parameters, data efficiency is crucial. Given observed data, a key element to how an optimizer updates model parameters is the loss ...
2108.09069
Shunchuan Yang
Kai Zhu, Jinhui Wang, Shunchuan Yang
An Adaptive Interpolation Scheme for Wideband Frequency Sweep in Electromagnetic Simulations
null
null
10.1109/LAWP.2021.3135958
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An adaptive interpolation scheme is proposed to accurately calculate the wideband responses in electromagnetic simulations. In the proposed scheme, the sampling points are first carefully divided into several groups based on their responses to avoid the Runge phenomenon and the error fluctuations, and then different ...
[ { "created": "Fri, 20 Aug 2021 08:51:40 GMT", "version": "v1" } ]
2022-03-14
[ [ "Zhu", "Kai", "" ], [ "Wang", "Jinhui", "" ], [ "Yang", "Shunchuan", "" ] ]
An adaptive interpolation scheme is proposed to accurately calculate the wideband responses in electromagnetic simulations. In the proposed scheme, the sampling points are first carefully divided into several groups based on their responses to avoid the Runge phenomenon and the error fluctuations, and then different in...
2305.11813
Philipp Czerner
Eszter Couillard and Philipp Czerner and Javier Esparza and Rupak Majumdar
Making $\textsf{IP}=\textsf{PSPACE}$ Practical: Efficient Interactive Protocols for BDD Algorithms
null
null
10.1007/978-3-031-37709-9_21
null
cs.LO cs.CC
http://creativecommons.org/licenses/by/4.0/
We show that interactive protocols between a prover and a verifier, a well-known tool of complexity theory, can be used in practice to certify the correctness of automated reasoning tools. Theoretically, interactive protocols exist for all $\textsf{PSPACE}$ problems. The verifier of a protocol checks the prover's a...
[ { "created": "Fri, 19 May 2023 16:48:21 GMT", "version": "v1" }, { "created": "Wed, 6 Sep 2023 13:37:35 GMT", "version": "v2" } ]
2023-09-07
[ [ "Couillard", "Eszter", "" ], [ "Czerner", "Philipp", "" ], [ "Esparza", "Javier", "" ], [ "Majumdar", "Rupak", "" ] ]
We show that interactive protocols between a prover and a verifier, a well-known tool of complexity theory, can be used in practice to certify the correctness of automated reasoning tools. Theoretically, interactive protocols exist for all $\textsf{PSPACE}$ problems. The verifier of a protocol checks the prover's answe...
2211.14613
Gabriel Istrate
Gabriel Istrate
Some Remarks on Almost Periodic Sequences and Languages
Reconstructed source file of a paper originally published in 1995 in a volume currently without an online version (and with limited availability). Uploaded in order to ensure the online availability (and preservation) of the paper. This version faithfully reproduces the original, except for the addition of a no...
pages 191-195, in "Mathematical linguistics and related topics. Papers in honor of Solomon Marcus on his 70th birthday". Edited by Gheorghe P\u{a}un. Editura Academiei Rom\^ane, Bucharest, 1995. xii+364 pp. ISBN: 973-27-0486-1
null
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
Almost periodicity has been considered in Formal Language Theory in connection with some topics in Symbolic Dynamics. In (P\u{a}un and Marcus, Bulletin of EATCS 53 (1994)) some problems concerning this property are raised. For instance it is asked whether there exists some almost periodic word $\alpha$ such that $Sub...
[ { "created": "Sat, 26 Nov 2022 16:45:36 GMT", "version": "v1" } ]
2022-11-29
[ [ "Istrate", "Gabriel", "" ] ]
Almost periodicity has been considered in Formal Language Theory in connection with some topics in Symbolic Dynamics. In (P\u{a}un and Marcus, Bulletin of EATCS 53 (1994)) some problems concerning this property are raised. For instance it is asked whether there exists some almost periodic word $\alpha$ such that $Sub(\...
2312.03030
Xiaosen Wang
Xiaosen Wang, Kunyu Wang
Generating Visually Realistic Adversarial Patch
14 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are vulnerable to various types of adversarial examples, bringing huge threats to security-critical applications. Among these, adversarial patches have drawn increasing attention due to their good applicability to fool DNNs in the physical world. However, existing works often generate patc...
[ { "created": "Tue, 5 Dec 2023 11:07:39 GMT", "version": "v1" } ]
2023-12-07
[ [ "Wang", "Xiaosen", "" ], [ "Wang", "Kunyu", "" ] ]
Deep neural networks (DNNs) are vulnerable to various types of adversarial examples, bringing huge threats to security-critical applications. Among these, adversarial patches have drawn increasing attention due to their good applicability to fool DNNs in the physical world. However, existing works often generate patche...
2011.11314
Gerald Baier
Gerald Baier and Antonin Deschemps and Michael Schmitt and Naoto Yokoya
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data
null
null
10.1109/TGRS.2021.3068532
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We synthesize both optical RGB and synthetic aperture radar (SAR) remote sensing images from land cover maps and auxiliary raster data using generative adversarial networks (GANs). In remote sensing, many types of data, such as digital elevation models (DEMs) or precipitation maps, are often not reflected in land cov...
[ { "created": "Mon, 23 Nov 2020 10:28:10 GMT", "version": "v1" }, { "created": "Tue, 25 May 2021 13:25:48 GMT", "version": "v2" } ]
2021-05-26
[ [ "Baier", "Gerald", "" ], [ "Deschemps", "Antonin", "" ], [ "Schmitt", "Michael", "" ], [ "Yokoya", "Naoto", "" ] ]
We synthesize both optical RGB and synthetic aperture radar (SAR) remote sensing images from land cover maps and auxiliary raster data using generative adversarial networks (GANs). In remote sensing, many types of data, such as digital elevation models (DEMs) or precipitation maps, are often not reflected in land cover...
1707.03374
Abhishek Gupta
YuXuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
Accepted at ICRA 2018, Brisbane. YuXuan Liu and Abhishek Gupta had equal contribution
null
null
null
cs.LG cs.AI cs.CV cs.NE cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator. However, standard imitation learning methods assume that the agent receives examples ...
[ { "created": "Tue, 11 Jul 2017 17:23:53 GMT", "version": "v1" }, { "created": "Mon, 18 Jun 2018 21:00:13 GMT", "version": "v2" } ]
2018-06-20
[ [ "Liu", "YuXuan", "" ], [ "Gupta", "Abhishek", "" ], [ "Abbeel", "Pieter", "" ], [ "Levine", "Sergey", "" ] ]
Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator. However, standard imitation learning methods assume that the agent receives examples of...
1805.11724
Michael Kampffmeyer
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang and Eric P. Xing
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
The first two authors contributed equally. Code at https://github.com/cyvius96/adgpm. To appear in CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph convolutional neural networks have recently shown great potential for the task of zero-shot learning. These models are highly sample efficient as related concepts in the graph structure share statistical strength allowing generalization to new classes when faced with a lack of data. However, multi-layer archite...
[ { "created": "Tue, 29 May 2018 21:55:46 GMT", "version": "v1" }, { "created": "Thu, 31 May 2018 20:14:38 GMT", "version": "v2" }, { "created": "Wed, 27 Mar 2019 17:26:38 GMT", "version": "v3" } ]
2019-03-28
[ [ "Kampffmeyer", "Michael", "" ], [ "Chen", "Yinbo", "" ], [ "Liang", "Xiaodan", "" ], [ "Wang", "Hao", "" ], [ "Zhang", "Yujia", "" ], [ "Xing", "Eric P.", "" ] ]
Graph convolutional neural networks have recently shown great potential for the task of zero-shot learning. These models are highly sample efficient as related concepts in the graph structure share statistical strength allowing generalization to new classes when faced with a lack of data. However, multi-layer architect...
1303.6573
Dr. Nadeem Javaid
A. Ahmad, K. Latif, N. Javaid, Z. A. Khan, U. Qasim
Density Controlled Divide-and-Rule Scheme for Energy Efficient Routing in Wireless Sensor Networks
26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE2013), Regina, Saskatchewan, Canada, 2013
null
10.1109/CCECE.2013.6567738
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cluster based routing technique is most popular routing technique in Wireless Sensor Networks (WSNs). Due to varying need of WSN applications efficient energy utilization in routing protocols is still a potential area of research. In this research work we introduced a new energy efficient cluster based routing techni...
[ { "created": "Tue, 26 Mar 2013 17:50:52 GMT", "version": "v1" } ]
2016-11-17
[ [ "Ahmad", "A.", "" ], [ "Latif", "K.", "" ], [ "Javaid", "N.", "" ], [ "Khan", "Z. A.", "" ], [ "Qasim", "U.", "" ] ]
Cluster based routing technique is most popular routing technique in Wireless Sensor Networks (WSNs). Due to varying need of WSN applications efficient energy utilization in routing protocols is still a potential area of research. In this research work we introduced a new energy efficient cluster based routing techniqu...
2104.14644
Safa Alver
Safa Alver, Doina Precup
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
Accepted to the Never-Ending Reinforcement Learning Workshop at ICLR 2021
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Recurrent meta reinforcement learning (meta-RL) agents are agents that employ a recurrent neural network (RNN) for the purpose of "learning a learning algorithm". After being trained on a pre-specified task distribution, the learned weights of the agent's RNN are said to implement an efficient learning algorithm thro...
[ { "created": "Thu, 29 Apr 2021 20:34:39 GMT", "version": "v1" } ]
2021-05-03
[ [ "Alver", "Safa", "" ], [ "Precup", "Doina", "" ] ]
Recurrent meta reinforcement learning (meta-RL) agents are agents that employ a recurrent neural network (RNN) for the purpose of "learning a learning algorithm". After being trained on a pre-specified task distribution, the learned weights of the agent's RNN are said to implement an efficient learning algorithm throug...
cs/0312042
Sergio Greco
Sergio Flesca, Sergio Greco
Declarative Semantics for Active Rules
27 pages
Theory and Practice of Logic Programming, 1(1): 43-69, 2001
null
null
cs.DB
null
In this paper we analyze declarative deterministic and non-deterministic semantics for active rules. In particular we consider several (partial) stable model semantics, previously defined for deductive rules, such as well-founded, max deterministic, unique total stable model, total stable model, and maximal stable mo...
[ { "created": "Thu, 18 Dec 2003 17:43:43 GMT", "version": "v1" } ]
2007-05-23
[ [ "Flesca", "Sergio", "" ], [ "Greco", "Sergio", "" ] ]
In this paper we analyze declarative deterministic and non-deterministic semantics for active rules. In particular we consider several (partial) stable model semantics, previously defined for deductive rules, such as well-founded, max deterministic, unique total stable model, total stable model, and maximal stable mode...
2004.02380
Philippe Morere
Philippe Morere and Fabio Ramos
Intrinsic Exploration as Multi-Objective RL
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intrinsic motivation enables reinforcement learning (RL) agents to explore when rewards are very sparse, where traditional exploration heuristics such as Boltzmann or e-greedy would typically fail. However, intrinsic exploration is generally handled in an ad-hoc manner, where exploration is not treated as a core obje...
[ { "created": "Mon, 6 Apr 2020 02:37:29 GMT", "version": "v1" } ]
2020-04-07
[ [ "Morere", "Philippe", "" ], [ "Ramos", "Fabio", "" ] ]
Intrinsic motivation enables reinforcement learning (RL) agents to explore when rewards are very sparse, where traditional exploration heuristics such as Boltzmann or e-greedy would typically fail. However, intrinsic exploration is generally handled in an ad-hoc manner, where exploration is not treated as a core object...
1001.4420
Markus Jalsenius
Raphael Clifford, Markus Jalsenius, Ashley Montanaro and Benjamin Sach
The Complexity of Flood Filling Games
20 pages, 10 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the complexity of the popular one player combinatorial game known as Flood-It. In this game the player is given an n by n board of tiles where each tile is allocated one of c colours. The goal is to make the colours of all tiles equal via the shortest possible sequence of flooding operations. In the standard...
[ { "created": "Mon, 25 Jan 2010 13:40:57 GMT", "version": "v1" }, { "created": "Thu, 19 Aug 2010 16:57:48 GMT", "version": "v2" }, { "created": "Thu, 9 Jun 2011 13:12:47 GMT", "version": "v3" } ]
2011-06-10
[ [ "Clifford", "Raphael", "" ], [ "Jalsenius", "Markus", "" ], [ "Montanaro", "Ashley", "" ], [ "Sach", "Benjamin", "" ] ]
We study the complexity of the popular one player combinatorial game known as Flood-It. In this game the player is given an n by n board of tiles where each tile is allocated one of c colours. The goal is to make the colours of all tiles equal via the shortest possible sequence of flooding operations. In the standard v...
1908.05739
Chandra Sekhar Bhagavatula
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih and Yejin Choi
Abductive Commonsense Reasoning
ICLR 2020 Camera Ready
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abductive reasoning is inference to the most plausible explanation. For example, if Jenny finds her house in a mess when she returns from work, and remembers that she left a window open, she can hypothesize that a thief broke into her house and caused the mess, as the most plausible explanation. While abduction has l...
[ { "created": "Thu, 15 Aug 2019 20:03:10 GMT", "version": "v1" }, { "created": "Fri, 14 Feb 2020 02:52:27 GMT", "version": "v2" } ]
2020-02-17
[ [ "Bhagavatula", "Chandra", "" ], [ "Bras", "Ronan Le", "" ], [ "Malaviya", "Chaitanya", "" ], [ "Sakaguchi", "Keisuke", "" ], [ "Holtzman", "Ari", "" ], [ "Rashkin", "Hannah", "" ], [ "Downey", "Doug", "" ...
Abductive reasoning is inference to the most plausible explanation. For example, if Jenny finds her house in a mess when she returns from work, and remembers that she left a window open, she can hypothesize that a thief broke into her house and caused the mess, as the most plausible explanation. While abduction has lon...
1901.00861
Bradley Gram-Hansen
Bradley Gram-Hansen, Patrick Helber, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
Published at the AAAI/ACM Conference on AI, ethics and society. Extended results from our previous workshop: arXiv:1812.00812
AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019)
10.1145/3306618.3314253
null
cs.CY cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Informal settlements are home to the most socially and economically vulnerable people on the planet. In order to deliver effective economic and social aid, non-government organizations (NGOs), such as the United Nations Children's Fund (UNICEF), require detailed maps of the locations of informal settlements. However,...
[ { "created": "Thu, 3 Jan 2019 16:51:40 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2019 23:18:26 GMT", "version": "v2" }, { "created": "Thu, 30 May 2019 11:11:39 GMT", "version": "v3" } ]
2019-05-31
[ [ "Gram-Hansen", "Bradley", "" ], [ "Helber", "Patrick", "" ], [ "Varatharajan", "Indhu", "" ], [ "Azam", "Faiza", "" ], [ "Coca-Castro", "Alejandro", "" ], [ "Kopackova", "Veronika", "" ], [ "Bilinski", "Piotr",...
Informal settlements are home to the most socially and economically vulnerable people on the planet. In order to deliver effective economic and social aid, non-government organizations (NGOs), such as the United Nations Children's Fund (UNICEF), require detailed maps of the locations of informal settlements. However, d...
1304.1137
John Yen
John Yen, Piero P. Bonissone
Extending Term Subsumption systems for Uncertainty Management
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)
null
null
UAI-P-1990-PG-468-474
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major difficulty in developing and maintaining very large knowledge bases originates from the variety of forms in which knowledge is made available to the KB builder. The objective of this research is to bring together two complementary knowledge representation schemes: term subsumption languages, which represent a...
[ { "created": "Wed, 27 Mar 2013 13:59:48 GMT", "version": "v1" } ]
2013-04-05
[ [ "Yen", "John", "" ], [ "Bonissone", "Piero P.", "" ] ]
A major difficulty in developing and maintaining very large knowledge bases originates from the variety of forms in which knowledge is made available to the KB builder. The objective of this research is to bring together two complementary knowledge representation schemes: term subsumption languages, which represent and...
cs/0610119
Elad Hazan
Elad Hazan
Approximate Convex Optimization by Online Game Playing
null
null
null
null
cs.DS
null
Lagrangian relaxation and approximate optimization algorithms have received much attention in the last two decades. Typically, the running time of these methods to obtain a $\epsilon$ approximate solution is proportional to $\frac{1}{\epsilon^2}$. Recently, Bienstock and Iyengar, following Nesterov, gave an algorithm...
[ { "created": "Thu, 19 Oct 2006 22:10:32 GMT", "version": "v1" } ]
2007-05-23
[ [ "Hazan", "Elad", "" ] ]
Lagrangian relaxation and approximate optimization algorithms have received much attention in the last two decades. Typically, the running time of these methods to obtain a $\epsilon$ approximate solution is proportional to $\frac{1}{\epsilon^2}$. Recently, Bienstock and Iyengar, following Nesterov, gave an algorithm f...
1107.3129
Anwitaman Datta
Frederique Oggier, Anwitaman Datta
Homomorphic Self-repairing Codes for Agile Maintenance of Distributed Storage Systems
arXiv admin note: significant text overlap with arXiv:1008.0064
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed data storage systems are essential to deal with the need to store massive volumes of data. In order to make such a system fault-tolerant, some form of redundancy becomes crucial, incurring various overheads - most prominently in terms of storage space and maintenance bandwidth requirements. Erasure codes,...
[ { "created": "Fri, 15 Jul 2011 18:46:33 GMT", "version": "v1" } ]
2011-12-25
[ [ "Oggier", "Frederique", "" ], [ "Datta", "Anwitaman", "" ] ]
Distributed data storage systems are essential to deal with the need to store massive volumes of data. In order to make such a system fault-tolerant, some form of redundancy becomes crucial, incurring various overheads - most prominently in terms of storage space and maintenance bandwidth requirements. Erasure codes, o...
1909.08518
Ashesh Rambachan
Ashesh Rambachan and Jonathan Roth
Bias In, Bias Out? Evaluating the Folk Wisdom
null
1st Symposium on Foundations of Responsible Computing (FORC 2020)
10.4230/LIPIcs.FORC.2020.6
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We evaluate the folk wisdom that algorithmic decision rules trained on data produced by biased human decision-makers necessarily reflect this bias. We consider a setting where training labels are only generated if a biased decision-maker takes a particular action, and so "biased" training data arise due to discrimina...
[ { "created": "Wed, 18 Sep 2019 15:50:19 GMT", "version": "v1" }, { "created": "Thu, 27 Feb 2020 02:45:01 GMT", "version": "v2" }, { "created": "Sat, 19 Dec 2020 19:19:02 GMT", "version": "v3" } ]
2020-12-22
[ [ "Rambachan", "Ashesh", "" ], [ "Roth", "Jonathan", "" ] ]
We evaluate the folk wisdom that algorithmic decision rules trained on data produced by biased human decision-makers necessarily reflect this bias. We consider a setting where training labels are only generated if a biased decision-maker takes a particular action, and so "biased" training data arise due to discriminato...
2103.01078
Rodrigo Bonacin
Renata de Podest\'a Gaspar, Rodrigo Bonacin, Vin\'icius Gon\c{c}alves
Um Estudo sobre Atividades Participativas para Solu\c{c}\~oes IoT para o Home care de Pessoas Idosas
147 pages, in Portuguese
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Population aging in Brazil and in the world occurs at the same time of advances and evolutions in technology. Thus, opportunities for new solutions arise for the elderly, such as innovations in Home Care. With the Internet of Things, it is possible to improve the elderly autonomy, safety and quality of life. However,...
[ { "created": "Mon, 1 Mar 2021 15:43:32 GMT", "version": "v1" } ]
2021-03-02
[ [ "Gaspar", "Renata de Podestá", "" ], [ "Bonacin", "Rodrigo", "" ], [ "Gonçalves", "Vinícius", "" ] ]
Population aging in Brazil and in the world occurs at the same time of advances and evolutions in technology. Thus, opportunities for new solutions arise for the elderly, such as innovations in Home Care. With the Internet of Things, it is possible to improve the elderly autonomy, safety and quality of life. However, t...
2208.07824
Ngoc Bui
Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan Thuan Do
A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs
9 pages
null
10.1109/MASS56207.2022.00097
null
cs.LG cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Wireless sensor networks consist of randomly distributed sensor nodes for monitoring targets or areas of interest. Maintaining the network for continuous surveillance is a challenge due to the limited battery capacity in each sensor. Wireless power transfer technology is emerging as a reliable solution for energizing...
[ { "created": "Tue, 16 Aug 2022 16:10:52 GMT", "version": "v1" } ]
2023-10-03
[ [ "Bui", "Ngoc", "" ], [ "Nguyen", "Phi Le", "" ], [ "Nguyen", "Viet Anh", "" ], [ "Do", "Phan Thuan", "" ] ]
Wireless sensor networks consist of randomly distributed sensor nodes for monitoring targets or areas of interest. Maintaining the network for continuous surveillance is a challenge due to the limited battery capacity in each sensor. Wireless power transfer technology is emerging as a reliable solution for energizing t...