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Compressive Sensing Based Sampling and Reconstruction for Wireless Sensor Array Network

Ming Yin, Kai Yu, Zhi Wang
<span title="">2016</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
In this paper, we introduce compressive sensing to propose a compressed sampling and collaborative reconstruction framework, which enables real-time direction of arrival estimation for wireless sensor  ...  Also the proposed framework is compared with some data compression algorithms.  ...  Conclusion In this paper, we propose a compressed sampling and collaborative reconstruction framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/9641608">doi:10.1155/2016/9641608</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/irsod4bdivazjnigediu766zum">fatcat:irsod4bdivazjnigediu766zum</a> </span>
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Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory

Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
With this in mind, Compressed Sensing (CS) procedure and the collaboration of Block Sparse Bayesian Learning (BSBL) framework is used to provide a robust low sampling-rate approach for normal and abnormal  ...  Our simulation results based on two proposed algorithms illustrate 15% incensement of Signal to Noise Ratio (SNR) and a good level of quality for the degree of incoherence between the random measurement  ...  Section 3 proposes our new algorithm based on collaboration of CS theory and BSBL framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2013.06.040">doi:10.1016/j.procs.2013.06.040</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vkhyly4c4bfnxoe5nc7kocguni">fatcat:vkhyly4c4bfnxoe5nc7kocguni</a> </span>
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Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network [article]

Xiancheng Cheng, Prashant Khanduri, Boxiao Chen, Pramod K.Varshney
<span title="2020-10-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we propose a joint collaboration-compression framework for sequential estimation of a random vector parameter in a resource constrained wireless sensor network (WSN).  ...  Specifically, we propose a framework where the local sensors first collaborate (via a collaboration matrix) with each other.  ...  We also extend the proposed framework for online estimation of a time-varying random vector parameter. 3) We propose online algorithms for jointly designing the optimal collaboration and compression strategies  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.02700v1">arXiv:2010.02700v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kv44lof3ibaf3cieng7sxftu7u">fatcat:kv44lof3ibaf3cieng7sxftu7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201015103245/https://arxiv.org/pdf/2010.02700v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/70/ee/70eeed2a52ec80fa1fcaf69e0aa3629690e528c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.02700v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Optimized Grid Based e-Learning Framework

Suresh Jaganathan, Srinivasan Arulanandam, A. Damodaram
<span title="2014-12-15">2014</span> <i title="Maxwell Scientific Publication Corp."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/itifugluyrhulokjxf64yqrfey" style="color: black;">Research Journal of Applied Sciences Engineering and Technology</a> </i> &nbsp;
To reduce the e-Learning material size for efficient streaming, a light weight compression algorithm called dWave is embedded in OgBeL.  ...  The first and second needs are satisfied by using Grid and P2P technologies and the third need can be achieved by an efficient video compression algorithm.  ...  ACKNOWLEDGMENT This study is an extended version of "gBeL: An Efficient framework for e-learning in grid technology", communications in Computer and Information Science, Volume 142, Part 1, 63-68, doi:  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19026/rjaset.8.1231">doi:10.19026/rjaset.8.1231</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/guuxxjb3lrh3nk56nugevdzw2m">fatcat:guuxxjb3lrh3nk56nugevdzw2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225183718/http://pdfs.semanticscholar.org/6676/30e74283f3778b81465ce0f2d198d8a1b63c.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/66/76/667630e74283f3778b81465ce0f2d198d8a1b63c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19026/rjaset.8.1231"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS

Feng Chen, Shuang Wang, Xiaoqian Jiang, Sijie Ding, Yao Lu, Jihoon Kim, S. Cenk Sahinalp, Chisato Shimizu, Jane C. Burns, Victoria J. Wright, Eileen Png, Martin L. Hibberd (+7 others)
<span title="2017-01-08">2017</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
Motivation: We introduce PRINCESS, a privacy-preserving international collaboration framework for analyzing rare disease genetic data that are distributed across different continents.  ...  PRINCESS leverages Software Guard Extensions (SGX) and hardware for trustworthy computation.  ...  Acknowledgements We would like to thank Mona Vij, Simon Jahnson, Vinay Phegade, Anand Rajan from the IntelV R SGX team for reviewing the technical parts of this manuscript and for helpful discussions and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btw758">doi:10.1093/bioinformatics/btw758</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28065902">pmid:28065902</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5860394/">pmcid:PMC5860394</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lfxqvbmiqzb3bnywvcyhksfphq">fatcat:lfxqvbmiqzb3bnywvcyhksfphq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502094421/https://cloudfront.escholarship.org/dist/prd/content/qt15223016/qt15223016.pdf?t=pe8nqr" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/37/69/37699f77c0a44e8de5e27ae07c26edeb04c365c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/btw758"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860394" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Navigating the maze of graph analytics frameworks using massive graph datasets

Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, M. Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD &#39;14</a> </i> &nbsp;
Unfortunately, the "Ninja performance gap" between optimized code and most of these frameworks is very large (2-30X for most frameworks and up to 560X for Giraph) for common graph algorithms, and moreover  ...  In this work, we offer a quantitative roadmap for improving the performance of all these frameworks and bridging the "ninja gap".  ...  In particular, CombBLAS performs best among non-native frameworks for three of the four algorithms -Pagerank, BFS and Collaborative Filtering, while SociaLite performs best for Triangle Counting.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2588555.2610518">doi:10.1145/2588555.2610518</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/SatishSPSPHSYD14.html">dblp:conf/sigmod/SatishSPSPHSYD14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l5mcilp3ujezbliklr4h2pwrfe">fatcat:l5mcilp3ujezbliklr4h2pwrfe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160318194305/http://mobisocial.stanford.edu/papers/sigmod14n.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9a/09/9a09ed1207763c2db7c6dd14ec09352f496fea54.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2588555.2610518"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Block Sparse Multi-lead ECG Compression Exploiting between-lead Collaboration

Tohid Yousefi Rezaii, Siavash Eftekharifar, Soosan Beheshti, Sabalan Daneshvar
<span title="2018-08-08">2018</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6dx5wlvndrbc7moljjzrgmw674" style="color: black;">IET Signal Processing</a> </i> &nbsp;
The simulation results show the average improvement of 37%, 88% and 90-97% for BlS M-lEC compared to the non-collaborative case with raised cosine kernel, Gaussian kernel and collaborative case with Daubechies  ...  It is demonstrated that using raised cosine kernel in constructing the sparsifying basis matrix gives a sparser model which results in higher compression ratio and lower reconstruction error.  ...  Collaborative HiLasso reconstruction algorithm In the CS framework some appropriate algorithms are needed in order to reconstruct signals from their compressed versions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-spr.2018.5076">doi:10.1049/iet-spr.2018.5076</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7lqsubsal5duleisjjbkm45t3u">fatcat:7lqsubsal5duleisjjbkm45t3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830061436/https://arxiv.org/vc/arxiv/papers/1804/1804.10977v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/b8/7cb8ab3fbe88781c5eda60894e60d9d5eabb7f91.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-spr.2018.5076"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Universal distributed sensing via random projections

Marco F. Duarte, Michael B. Wakin, Dror Baron, Richard G. Baraniuk
<span title="">2006</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qfrbo4m6rzdebheg6mg47klxcy" style="color: black;">Proceedings of the fifth international conference on Information processing in sensor networks - IPSN &#39;06</a> </i> &nbsp;
This paper develops a new framework for distributed coding and compression in sensor networks based on distributed compressed sensing (DCS).  ...  It also requires absolutely no intersensor collaboration. We apply our framework to several real world datasets to validate the framework.  ...  Acknowledgements Thanks to Shriram Sarvotham for helping develop the DCS theory, to Rob Nowak for helpful comments, and to Farinaz Koushanfar for providing the experimental data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1127777.1127807">doi:10.1145/1127777.1127807</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ipsn/DuarteWBB06.html">dblp:conf/ipsn/DuarteWBB06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lyhlfnfyhnglvj6myfj54geome">fatcat:lyhlfnfyhnglvj6myfj54geome</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20090313215229/http://www.ece.rice.edu/~duarte/images/UDS-IPSN06.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/c3/cec3768fd808d051c1afaf1f24dcfaf17ddeedcd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1127777.1127807"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Universal distributed sensing via random projections

M.R. Duarte, M.B. Wakin, D. Baron, R.G. Baraniuk
<span title="">2006</span> <i title="IEEE"> 2006 5th International Conference on Information Processing in Sensor Networks </i> &nbsp;
This paper develops a new framework for distributed coding and compression in sensor networks based on distributed compressed sensing (DCS).  ...  It also requires absolutely no intersensor collaboration. We apply our framework to several real world datasets to validate the framework.  ...  Acknowledgements Thanks to Shriram Sarvotham for helping develop the DCS theory, to Rob Nowak for helpful comments, and to Farinaz Koushanfar for providing the experimental data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ipsn.2006.244161">doi:10.1109/ipsn.2006.244161</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bhv3emjuqzcmrf2bwykcz7n45u">fatcat:bhv3emjuqzcmrf2bwykcz7n45u</a> </span>
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Design of Pitch Control Software Infrastructure Based on Collaborative Filtering Algorithm

Gang Li, Panya Roongruang, Sheng Bin
<span title="2022-04-23">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw4azkpu65d2thmrwfkoawyxse" style="color: black;">Scientific Programming</a> </i> &nbsp;
Based on this, this project takes the improved collaborative filtering algorithm as the core algorithm to build a set of digital TV pitch control software system and realizes the verification of the algorithm  ...  To adapt to the environment and user preferences, this study proposes to calculate the attributes between different items when improving the collaborative filtering algorithm, so as to further determine  ...  Optimization Analysis and System Construction of Collaborative Filtering Algorithm under Clustering Algorithm. e optimization framework of collaborative filtering algorithm under the corresponding clustering  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/8340833">doi:10.1155/2022/8340833</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vybjum4qjbaklju6r2pq4lecci">fatcat:vybjum4qjbaklju6r2pq4lecci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220424031130/https://downloads.hindawi.com/journals/sp/2022/8340833.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/ca/85cafdb4c96891b03cb9c9979bbf7f1323f885d1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/8340833"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems [article]

Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan
<span title="2018-12-13">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a machine learning framework for multi-agent systems to learn both the optimal policy for maximizing the rewards and the encoding of the high dimensional visual observation.  ...  The feasibility of the reinforcement learning framework is demonstrated using a 3D simulation environment with two collaborating agents.  ...  Acknowledgment This material is based upon work supported by the National Science Foundation under National Robotics Initiative grant #1830639 and Air Force Office of Scientific Research grant #FA9550-  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.05256v1">arXiv:1812.05256v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/at7px76gozc2zd5m27hojgjqaa">fatcat:at7px76gozc2zd5m27hojgjqaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191026163503/https://arxiv.org/pdf/1812.05256v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/94/2d942795d4531f0a007655343d95fca1b770e89c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.05256v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

DFM-GCN: A Multi-Task Learning Recommendation Based on a Deep Graph Neural Network

Yan Xiao, Congdong Li, Vincenzo Liu
<span title="2022-02-24">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ye33srllvnanjouxn4tmrfgjsq" style="color: black;">Mathematics</a> </i> &nbsp;
It used multiple comparison models and the MKR and FM_MKR algorithms as well as the DFM-GCN algorithm constructed in this paper.  ...  The results in previous research, however, suffer from problems such as data compression, information damage, and insufficient learning.  ...  Conclusions This paper mainly focused on improving the MKR algorithm and proposed the DFM-GCN framework for its recommendation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math10050721">doi:10.3390/math10050721</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z3jylmbkgzfrziwf3zc5fcluci">fatcat:z3jylmbkgzfrziwf3zc5fcluci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505191441/https://mdpi-res.com/d_attachment/mathematics/mathematics-10-00721/article_deploy/mathematics-10-00721-v2.pdf?version=1645772969" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ab/98/ab98e711802f1a7298e7e846f741900a7195fea1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math10050721"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Compression Framework for Multidimensional Scientific Datasets

Tekin Bicer, Gagan Agrawal
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t3x4vqewrncrfgn2wu7cafsbsq" style="color: black;">2013 IEEE International Symposium on Parallel &amp; Distributed Processing, Workshops and Phd Forum</a> </i> &nbsp;
In our previous work [5] , we proposed a compression framework and methodology for scientific datasets.  ...  Determining the best compression algorithm: A user can implement a set of compression algorithms using our compression framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ipdpsw.2013.186">doi:10.1109/ipdpsw.2013.186</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ipps/BicerA13.html">dblp:conf/ipps/BicerA13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5peq3jl3yfdyhedzsj6esqz7ym">fatcat:5peq3jl3yfdyhedzsj6esqz7ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170701093514/http://www.mcs.anl.gov/~bicer/research/posters/ipdps2013abstract.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/0e/760e50e909d2ae544bc38284a746305ff082ce15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ipdpsw.2013.186"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Algorithms for Compressive Sensing Signal Reconstruction with Applications

Srdjan Stanković, Cornel Ioana, Xiumei Li, Vladan Papic
<span title="">2016</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wpareqynwbgqdfodcyhh36aqaq" style="color: black;">Mathematical Problems in Engineering</a> </i> &nbsp;
Compressive sensing appeared recently as a new sensing framework and very quickly became a rapidly growing area of great interest in many research communities and applications.  ...  Compressive sensing opens the possibility of simplifying acquisition devices and apparatus for data and reducing the number of sensors, acquisition time, and storage capacities.  ...  Yin et al. propose a compressed sampling and collaborative reconstruction framework for wireless sensor array network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/8376531">doi:10.1155/2016/8376531</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zpr4l3gf4bepla7z7btmgpms5q">fatcat:zpr4l3gf4bepla7z7btmgpms5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503084447/http://downloads.hindawi.com/journals/mpe/2016/8376531.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e0/02/e002038f270b717f539ceb5dbe605e71ac131304.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2016/8376531"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

An Information Theory based Approach to Multisource Clustering

Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
<span title="">2018</span> <i title="International Joint Conferences on Artificial Intelligence Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vfwwmrihanevtjbbkti2kc3nke" style="color: black;">Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence</a> </i> &nbsp;
In this paper, we consider this type of unsupervised ensemble learning as a compression problem and develop a theoretical framework based on algorithmic theory of information suitable for multi-view clustering  ...  and collaborative clustering applications.  ...  It is noticeable that the framework of algorithmic learning theory authorizes a large class of data representations (and thus can be used for collaboration between different types of clustering methods  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2018/358">doi:10.24963/ijcai.2018/358</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ijcai/MurenaSMC18.html">dblp:conf/ijcai/MurenaSMC18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ms5dpllk5bkpm5n6nyy3ula6a">fatcat:2ms5dpllk5bkpm5n6nyy3ula6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222013021/http://pdfs.semanticscholar.org/315d/0f5b9e2a53b7728d82e2b356887e19e4f380.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/5d/315d0f5b9e2a53b7728d82e2b356887e19e4f380.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24963/ijcai.2018/358"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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