Loading…

Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2013, Vol.119, p.144-152
Main Authors: HUACHUN TAN, BIN CHENG, JIANSHUAI FENG, GUANGDONG FENG, WUHONG WANG, ZHANG, Yu-Jin
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 152
container_issue
container_start_page 144
container_title Neurocomputing (Amsterdam)
container_volume 119
creator HUACHUN TAN
BIN CHENG
JIANSHUAI FENG
GUANGDONG FENG
WUHONG WANG
ZHANG, Yu-Jin
description
format article
fullrecord <record><control><sourceid>pascalfrancis</sourceid><recordid>TN_cdi_pascalfrancis_primary_27656849</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27656849</sourcerecordid><originalsourceid>FETCH-pascalfrancis_primary_276568493</originalsourceid><addsrcrecordid>eNqNjslOwzAURS0EEmH4h7dhaSlxaQa2CESlLhBUbKuH85I-8BBsp6g_xHdiqXwAq7u45w4noqjaRslWtfWpKMpOLaVaVOpcXMT4UZZVU6muED9r_y2dDOg-IZGLPkAg7fcUDvCOkXrwDuxsEkvDjjAAzqMll7KzxjHnRjr6k2EKYCntfA93sMqIMTxmFJ6D1xQjuxE2pHeOv2aKMOStV7LoEmt53FpZzHXoenjjnjy8UApMezRX4mxAE-n6Ty_FzePD5v5JThg1miH_0By3U2CL4bBVTb2s29tu8V_uF5_yYqA</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval</title><source>Elsevier</source><creator>HUACHUN TAN ; BIN CHENG ; JIANSHUAI FENG ; GUANGDONG FENG ; WUHONG WANG ; ZHANG, Yu-Jin</creator><creatorcontrib>HUACHUN TAN ; BIN CHENG ; JIANSHUAI FENG ; GUANGDONG FENG ; WUHONG WANG ; ZHANG, Yu-Jin</creatorcontrib><identifier>ISSN: 0925-2312</identifier><identifier>EISSN: 1872-8286</identifier><language>eng</language><publisher>Amsterdam: Elsevier</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; Pattern recognition. Digital image processing. Computational geometry</subject><ispartof>Neurocomputing (Amsterdam), 2013, Vol.119, p.144-152</ispartof><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27656849$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>HUACHUN TAN</creatorcontrib><creatorcontrib>BIN CHENG</creatorcontrib><creatorcontrib>JIANSHUAI FENG</creatorcontrib><creatorcontrib>GUANGDONG FENG</creatorcontrib><creatorcontrib>WUHONG WANG</creatorcontrib><creatorcontrib>ZHANG, Yu-Jin</creatorcontrib><title>Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval</title><title>Neurocomputing (Amsterdam)</title><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><issn>0925-2312</issn><issn>1872-8286</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNjslOwzAURS0EEmH4h7dhaSlxaQa2CESlLhBUbKuH85I-8BBsp6g_xHdiqXwAq7u45w4noqjaRslWtfWpKMpOLaVaVOpcXMT4UZZVU6muED9r_y2dDOg-IZGLPkAg7fcUDvCOkXrwDuxsEkvDjjAAzqMll7KzxjHnRjr6k2EKYCntfA93sMqIMTxmFJ6D1xQjuxE2pHeOv2aKMOStV7LoEmt53FpZzHXoenjjnjy8UApMezRX4mxAE-n6Ty_FzePD5v5JThg1miH_0By3U2CL4bBVTb2s29tu8V_uF5_yYqA</recordid><startdate>2013</startdate><enddate>2013</enddate><creator>HUACHUN TAN</creator><creator>BIN CHENG</creator><creator>JIANSHUAI FENG</creator><creator>GUANGDONG FENG</creator><creator>WUHONG WANG</creator><creator>ZHANG, Yu-Jin</creator><general>Elsevier</general><scope>IQODW</scope></search><sort><creationdate>2013</creationdate><title>Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval</title><author>HUACHUN TAN ; BIN CHENG ; JIANSHUAI FENG ; GUANGDONG FENG ; WUHONG WANG ; ZHANG, Yu-Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pascalfrancis_primary_276568493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HUACHUN TAN</creatorcontrib><creatorcontrib>BIN CHENG</creatorcontrib><creatorcontrib>JIANSHUAI FENG</creatorcontrib><creatorcontrib>GUANGDONG FENG</creatorcontrib><creatorcontrib>WUHONG WANG</creatorcontrib><creatorcontrib>ZHANG, Yu-Jin</creatorcontrib><collection>Pascal-Francis</collection><jtitle>Neurocomputing (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HUACHUN TAN</au><au>BIN CHENG</au><au>JIANSHUAI FENG</au><au>GUANGDONG FENG</au><au>WUHONG WANG</au><au>ZHANG, Yu-Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval</atitle><jtitle>Neurocomputing (Amsterdam)</jtitle><date>2013</date><risdate>2013</risdate><volume>119</volume><spage>144</spage><epage>152</epage><pages>144-152</pages><issn>0925-2312</issn><eissn>1872-8286</eissn><cop>Amsterdam</cop><pub>Elsevier</pub></addata></record>
fulltext fulltext
identifier ISSN: 0925-2312
ispartof Neurocomputing (Amsterdam), 2013, Vol.119, p.144-152
issn 0925-2312
1872-8286
language eng
recordid cdi_pascalfrancis_primary_27656849
source Elsevier
subjects Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
title Low-n-rank tensor recovery based on multi-linear augmented Lagrange multiplier method : Intelligent Processing Techniques for Semantic-based Image and Video Retrieval
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T13%3A34%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Low-n-rank%20tensor%20recovery%20based%20on%20multi-linear%20augmented%20Lagrange%20multiplier%20method%20:%20Intelligent%20Processing%20Techniques%20for%20Semantic-based%20Image%20and%20Video%20Retrieval&rft.jtitle=Neurocomputing%20(Amsterdam)&rft.au=HUACHUN%20TAN&rft.date=2013&rft.volume=119&rft.spage=144&rft.epage=152&rft.pages=144-152&rft.issn=0925-2312&rft.eissn=1872-8286&rft_id=info:doi/&rft_dat=%3Cpascalfrancis%3E27656849%3C/pascalfrancis%3E%3Cgrp_id%3Ecdi_FETCH-pascalfrancis_primary_276568493%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true