{"id":"https://openalex.org/W2809072447","doi":"https://doi.org/10.1142/s0218213018500203","title":"Robust Structured Low-Rank Representation for Image Segmentation","display_name":"Robust Structured Low-Rank Representation for Image Segmentation","publication_year":2018,"publication_date":"2018-06-18","ids":{"openalex":"https://openalex.org/W2809072447","doi":"https://doi.org/10.1142/s0218213018500203","mag":"2809072447"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213018500203","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213018500203","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073169904","display_name":"Congzhe You","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong-Zhe You","raw_affiliation_strings":["School of IoT Engineering, Jiangnan University, Wuxi, 214122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076935774","display_name":"Vasile Palade","orcid":"https://orcid.org/0000-0002-6768-8394"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vasile Palade","raw_affiliation_strings":["School of Computing, Electronics, and Mathematics, Coventry University Coventry, CV1 5FB, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Electronics, and Mathematics, Coventry University Coventry, CV1 5FB, United Kingdom","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["School of IoT Engineering, Jiangnan University, Wuxi, 214122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, 214122, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65387711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"05","first_page":"1850020","last_page":"1850020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8348321914672852},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6911601424217224},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6148591041564941},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5568456053733826},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5532823204994202},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.535340428352356},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5284972786903381},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5123878121376038},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5005531311035156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4767143130302429},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4214679002761841},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37110838294029236},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14104944467544556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1078188419342041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8348321914672852},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6911601424217224},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6148591041564941},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5568456053733826},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5532823204994202},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.535340428352356},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5284972786903381},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5123878121376038},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5005531311035156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767143130302429},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4214679002761841},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37110838294029236},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14104944467544556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1078188419342041},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213018500203","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213018500203","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1981458038","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2013712253","https://openalex.org/W2028879127","https://openalex.org/W2085261163","https://openalex.org/W2103972604","https://openalex.org/W2177347332"],"related_works":["https://openalex.org/W1457719682","https://openalex.org/W4206076898","https://openalex.org/W3199679192","https://openalex.org/W2016349419","https://openalex.org/W3127804355","https://openalex.org/W2510758617","https://openalex.org/W2045391057","https://openalex.org/W2897195263","https://openalex.org/W2005476934","https://openalex.org/W2058042818"],"abstract_inverted_index":{"Subspace":[0],"clustering":[1,166],"analysis":[2],"algorithms":[3],"are":[4,75,92],"often":[5],"employed":[6],"when":[7],"dealing":[8],"with":[9,154],"high-dimensional":[10],"data.":[11],"As":[12],"a":[13,98,117,126],"representative":[14],"approach,":[15],"Low-Rank":[16,103],"Representation":[17,104],"(LRR)":[18],"of":[19,40,77],"data":[20],"has":[21],"achieved":[22],"great":[23],"success":[24],"for":[25],"subspace":[26],"segmentation":[27,140],"tasks":[28,114],"in":[29,160],"applications":[30],"such":[31],"as":[32],"image":[33],"processing.":[34],"The":[35],"traditional":[36],"LRR-related":[37],"methods":[38],"consist":[39],"two":[41,73,111],"separate":[42],"tasks:":[43],"first,":[44],"the":[45,56,63,68,86,90,110,130,139,142,157],"affinity":[46,64],"graph":[47,65],"construction":[48],"by":[49,89,108],"using":[50],"lowrank":[51],"minimization":[52],"techniques,":[53],"and":[54,115,141],"then":[55],"spectral":[57],"clustering,":[58],"which":[59,134],"is":[60,106],"done":[61],"on":[62,147],"to":[66,128],"get":[67,137],"final":[69],"segmentation.":[70],"Since":[71],"these":[72],"steps":[74],"independent":[76],"each":[78],"other,":[79],"this":[80,96,161],"method":[81,99,127],"does":[82],"not":[83],"guarantee":[84],"that":[85],"results":[87],"obtained":[88],"algorithm":[91,158],"globally":[93],"optimal.":[94],"In":[95],"paper,":[97],"called":[100],"Robust":[101],"Structured":[102],"(RSLRR)":[105],"proposed,":[107],"integrating":[109],"above":[112],"mentioned":[113],"solve":[116,129],"joint":[118,131],"optimization":[119,132],"problem.":[120],"This":[121],"paper":[122,162],"also":[123],"puts":[124],"forward":[125],"problem,":[133],"can":[135,163],"efficiently":[136],"both":[138],"structured":[143],"low-rank":[144],"representation.":[145],"Experiments":[146],"several":[148],"standard":[149],"datasets":[150],"show":[151],"that,":[152],"compared":[153],"other":[155],"algorithms,":[156],"proposed":[159],"achieve":[164],"better":[165],"results.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}