{"id":"https://openalex.org/W2922181571","doi":"https://doi.org/10.1145/3301326.3301391","title":"Deep Multi-view Sparse Subspace Clustering","display_name":"Deep Multi-view Sparse Subspace Clustering","publication_year":2018,"publication_date":"2018-12-14","ids":{"openalex":"https://openalex.org/W2922181571","doi":"https://doi.org/10.1145/3301326.3301391","mag":"2922181571"},"language":"en","primary_location":{"id":"doi:10.1145/3301326.3301391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","raw_type":"proceedings-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/A5101996940","display_name":"Xiaoliang Tang","orcid":"https://orcid.org/0000-0003-0818-8098"},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoliang Tang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, China","Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province","institution_ids":["https://openalex.org/I4210151023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602073","display_name":"Xuan Tang","orcid":"https://orcid.org/0000-0002-2041-5268"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Tang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, China","Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province","institution_ids":["https://openalex.org/I4210151023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739214","display_name":"Wanli Wang","orcid":"https://orcid.org/0000-0003-3042-7948"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Wang","raw_affiliation_strings":["Liaoning Technical University, Huludao City, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao City, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907359","display_name":"Li Fang","orcid":"https://orcid.org/0000-0002-4876-6975"},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Fang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province","institution_ids":["https://openalex.org/I4210151023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101604243","display_name":"Xian Wei","orcid":"https://orcid.org/0000-0001-5363-0995"},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wei","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing Haixi Institutes, Chinese Academy of Sciences, Quanzhou City, Fujian Province","institution_ids":["https://openalex.org/I4210151023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101996940"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151023"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.72403843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7592538595199585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326838970184326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639306902885437},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5749577283859253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5557865500450134},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5315375924110413},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5227601528167725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4684230089187622},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4516562223434448},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.433268278837204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3823132812976837}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7592538595199585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326838970184326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639306902885437},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5749577283859253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5557865500450134},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5315375924110413},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5227601528167725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4684230089187622},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4516562223434448},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.433268278837204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3823132812976837},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301326.3301391","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1907775068","https://openalex.org/W1993962865","https://openalex.org/W2112074816","https://openalex.org/W2113855951","https://openalex.org/W2114994812","https://openalex.org/W2134529554","https://openalex.org/W2142674578","https://openalex.org/W2145094598","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2166049352","https://openalex.org/W2187250581","https://openalex.org/W2199534117","https://openalex.org/W2428809231","https://openalex.org/W2571899125","https://openalex.org/W2573153056","https://openalex.org/W2590019597","https://openalex.org/W2748391982","https://openalex.org/W2752197020","https://openalex.org/W2787885212","https://openalex.org/W2963365397"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W2378211422","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W1980381208","https://openalex.org/W4248336175","https://openalex.org/W2031260042"],"abstract_inverted_index":{"Most":[0],"multi-view":[1,20,48,60,95,128],"subspace":[2,62,129],"clustering":[3,27,63,130],"algorithms":[4],"construct":[5],"the":[6,41,110,126],"affinity":[7],"matrix":[8],"with":[9,89],"shallow":[10],"features":[11,21,84,96],"extracted":[12],"from":[13],"each":[14,86],"view":[15,87],"separately.":[16],"The":[17,29,76],"integration":[18],"of":[19,31,44,68,85],"are":[22],"left":[23],"for":[24,47,108],"extended":[25],"spectral":[26],"algorithm.":[28],"lack":[30],"deep":[32,59,83],"feature":[33],"extraction":[34],"and":[35,72],"interaction":[36],"across":[37],"different":[38],"views":[39],"prevents":[40],"effective":[42],"exploration":[43],"information":[45],"complementary":[46],"datasets.":[49],"To":[50],"address":[51],"this":[52,54],"problem,":[53],"paper":[55],"proposes":[56],"a":[57,101],"novel":[58],"sparse":[61],"(DMVSSC)":[64],"model":[65,78,123],"which":[66],"consists":[67],"convolutional":[69],"auto-encoders":[70],"(CAEs)":[71],"CCA-based":[73],"self-expressive":[74],"module.":[75],"proposed":[77,107,122],"can":[79],"not":[80],"only":[81],"extract":[82],"data":[88,117],"few":[90],"parameters":[91],"but":[92],"also":[93],"integrate":[94],"based":[97],"on":[98,114],"CCA.":[99],"Furthermore,":[100],"two-stage":[102],"joint":[103],"optimization":[104],"strategy":[105],"is":[106],"tuning":[109],"whole":[111],"model.":[112],"Experiments":[113],"four":[115],"benchmark":[116],"sets":[118],"show":[119],"that":[120],"our":[121],"significantly":[124],"outperforms":[125],"state-of-the-art":[127],"algorithms.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}