{"id":"https://openalex.org/W1989529706","doi":"https://doi.org/10.1109/tnnls.2014.2335234","title":"Partially Shared Latent Factor Learning With Multiview Data","display_name":"Partially Shared Latent Factor Learning With Multiview Data","publication_year":2014,"publication_date":"2014-07-28","ids":{"openalex":"https://openalex.org/W1989529706","doi":"https://doi.org/10.1109/tnnls.2014.2335234","mag":"1989529706","pmid":"https://pubmed.ncbi.nlm.nih.gov/25095265"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2014.2335234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2014.2335234","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101626153","display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0001-7955-8741"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017096005","display_name":"Zechao Li","orcid":"https://orcid.org/0000-0002-5341-5985"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechao Li","raw_affiliation_strings":["School of Computer Science, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621140","display_name":"Zhi\u2010Hua Zhou","orcid":"https://orcid.org/0000-0003-3378-3630"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hua Zhou","raw_affiliation_strings":["National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"[National Key Laboratory for Novel Software Technology Nanjing University, Nanjing, China]","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2782,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.97840893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":"6","first_page":"1233","last_page":"1246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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":0.6423382759094238},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5776309967041016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5417230129241943},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5383895635604858},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.49129122495651245},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.479850709438324},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.45077797770500183},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.44130969047546387},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.43497663736343384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4233430027961731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39525091648101807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3066854178905487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423382759094238},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5776309967041016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5417230129241943},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5383895635604858},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.49129122495651245},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.479850709438324},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.45077797770500183},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.44130969047546387},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.43497663736343384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4233430027961731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39525091648101807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3066854178905487},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2014.2335234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2014.2335234","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:25095265","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25095265","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G150933702","display_name":null,"funder_award_id":"2010CB327905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3439872296","display_name":"\u57fa\u4e8e\u793e\u4f1a\u6807\u7b7e\u7684\u56fe\u50cf\u6807\u6ce8\u4e0e\u6807\u7b7e\u63a8\u8350","funder_award_id":"61272329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6086134814","display_name":null,"funder_award_id":"61070104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7895550631","display_name":null,"funder_award_id":"61273034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W141062567","https://openalex.org/W146900863","https://openalex.org/W1493404174","https://openalex.org/W1509107394","https://openalex.org/W1532327008","https://openalex.org/W1535471649","https://openalex.org/W1670132599","https://openalex.org/W1824737917","https://openalex.org/W1902027874","https://openalex.org/W1986691909","https://openalex.org/W2007972815","https://openalex.org/W2048679005","https://openalex.org/W2049365101","https://openalex.org/W2053090063","https://openalex.org/W2084028080","https://openalex.org/W2085348055","https://openalex.org/W2085443648","https://openalex.org/W2097089247","https://openalex.org/W2104819583","https://openalex.org/W2105709960","https://openalex.org/W2108119513","https://openalex.org/W2108502868","https://openalex.org/W2117420919","https://openalex.org/W2122061064","https://openalex.org/W2126250169","https://openalex.org/W2135029798","https://openalex.org/W2136127419","https://openalex.org/W2137184539","https://openalex.org/W2142021955","https://openalex.org/W2142674578","https://openalex.org/W2142742813","https://openalex.org/W2148029428","https://openalex.org/W2154415691","https://openalex.org/W2154747411","https://openalex.org/W2156872152","https://openalex.org/W2157244796","https://openalex.org/W2159091719","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2165129186","https://openalex.org/W2168103112","https://openalex.org/W2171837816","https://openalex.org/W2176433868","https://openalex.org/W2405459681","https://openalex.org/W2903158431","https://openalex.org/W6605792473","https://openalex.org/W6630408084","https://openalex.org/W6631654266","https://openalex.org/W6632232714","https://openalex.org/W6636883489","https://openalex.org/W6638609593","https://openalex.org/W6671914738","https://openalex.org/W6675968127","https://openalex.org/W6679066655","https://openalex.org/W6680012447","https://openalex.org/W6680688336","https://openalex.org/W6682782370","https://openalex.org/W6682991666","https://openalex.org/W6685357932","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Multiview":[0],"representations":[1,131],"reveal":[2],"the":[3,7,41,129,144,152,156,177,185,209,213,221],"fundamental":[4],"attributes":[5],"of":[6,37,112,132,147,179,188,212],"studied":[8],"instances":[9],"from":[10,50],"different":[11,180,195,205],"perspectives.":[12],"Some":[13],"common":[14,113],"perspectives":[15],"are":[16,26,34,216],"reviewed":[17],"by":[18,28,117],"multiple":[19,87,118],"views":[20,119,181],"simultaneously,":[21],"while":[22],"some":[23,121],"specific":[24,122],"ones":[25],"reflected":[27],"individual":[29],"views.":[30,88],"That":[31],"is,":[32],"there":[33],"two":[35],"kinds":[36],"properties":[38],"embedded":[39],"in":[40,204,218],"multiview":[42,52,68,133,196],"data:":[43],"1)":[44],"consistency":[45,59],"and":[46,83,103,120,155,164,201],"2)":[47],"complementarity.":[48],"Different":[49],"most":[51],"learning":[53,69],"approaches":[54],"only":[55],"focusing":[56],"on":[57,224],"either":[58],"or":[60],"complementarity,":[61],"this":[62],"paper":[63],"proposes":[64],"a":[65,91,101,137,161,166],"novel":[66],"semisupervised":[67],"algorithm,":[70],"called":[71],"partially":[72,105],"shared":[73,106,116],"latent":[74,107,114,123],"factor":[75],"(PSLF)":[76],"learning,":[77],"which":[78,109],"jointly":[79],"exploits":[80],"both":[81],"consistent":[82,200],"complementary":[84,202],"information":[85,203],"among":[86],"In":[89,172,207],"PSLF,":[90],"nonnegative":[92],"matrix":[93],"factorization":[94],"(NMF)-based":[95],"formulation":[96,163],"is":[97,110],"adopted":[98],"to":[99,125,142,184],"learn":[100,176],"compact":[102],"comprehensive":[104],"representation,":[108],"composed":[111],"factors":[115,124],"each":[126],"view.":[127],"With":[128],"learned":[130],"data,":[134],"we":[135,159],"introduce":[136],"robust":[138],"sparse":[139],"regression":[140,157],"model":[141,154],"predict":[143],"cluster":[145],"labels":[146],"labeled":[148],"data.":[149],"By":[150],"integrating":[151],"NMF-based":[153],"model,":[158],"obtain":[160],"unified":[162],"propose":[165],"multiplicative-based":[167],"alternative":[168],"algorithm":[169,215],"for":[170],"optimization.":[171],"addition,":[173,208],"PSLF":[174],"can":[175],"weights":[178],"adaptively":[182],"according":[183],"reconstruction":[186],"precisions":[187],"data":[189,197,226],"matrices.":[190],"Our":[191],"experimental":[192],"study":[193],"indicates":[194],"that":[198],"contains":[199],"degrees.":[206],"encouraging":[210],"results":[211],"proposed":[214],"achieved":[217],"comparison":[219],"with":[220],"state-of-the-art":[222],"algorithms":[223],"real-world":[225],"sets.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}