{"id":"https://openalex.org/W2765786897","doi":"https://doi.org/10.1109/access.2017.2767818","title":"Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering","display_name":"Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765786897","doi":"https://doi.org/10.1109/access.2017.2767818","mag":"2765786897"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2767818","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2767818","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2767818","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Sen Xie","raw_affiliation_strings":["Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5487-9845","affiliations":[{"raw_affiliation_string":"Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011077051","display_name":"Xiaobo Jin","orcid":"https://orcid.org/0000-0003-1671-1379"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Bo Jin","raw_affiliation_strings":["School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210144487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413271","display_name":"Zhonghua Liu","orcid":"https://orcid.org/0000-0001-9816-7471"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Liu","raw_affiliation_strings":["Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102716905","display_name":"Xiaowei Xue","orcid":"https://orcid.org/0000-0003-4592-1068"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Xue","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087363347","display_name":"Jiexin Pu","orcid":"https://orcid.org/0000-0003-0921-2870"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiexin Pu","raw_affiliation_strings":["Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Joint International Research Laboratory of Image Processing and Intelligent Detection, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5387,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73163252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"24895","last_page":"24907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944000244140625,"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/subspace-topology","display_name":"Subspace topology","score":0.8507965207099915},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.8128348588943481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831727266311646},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6454901099205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6367526650428772},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5746633410453796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5167571902275085},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.49612340331077576},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46927347779273987},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4433116316795349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4351252615451813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17616763710975647}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8507965207099915},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8128348588943481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831727266311646},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6454901099205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6367526650428772},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5746633410453796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5167571902275085},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.49612340331077576},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46927347779273987},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4433116316795349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4351252615451813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17616763710975647},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2767818","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2767818","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6732d8068d4e4499a66895f848d326cf","is_oa":true,"landing_page_url":"https://doaj.org/article/6732d8068d4e4499a66895f848d326cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 24895-24907 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2767818","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2767818","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3613978086","display_name":null,"funder_award_id":"61702163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8945119532","display_name":"\u4f5c\u5f0a\u73af\u5883\u4e0b\u7684\u7f51\u9875\u6392\u5e8f\u95ee\u9898\u7814\u7a76","funder_award_id":"61103138","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W53987483","https://openalex.org/W87822204","https://openalex.org/W208317833","https://openalex.org/W297461772","https://openalex.org/W1486189686","https://openalex.org/W1523385540","https://openalex.org/W1536675765","https://openalex.org/W1566499617","https://openalex.org/W1625255723","https://openalex.org/W1670132599","https://openalex.org/W1672347394","https://openalex.org/W1803413907","https://openalex.org/W1953764758","https://openalex.org/W2001600470","https://openalex.org/W2004427069","https://openalex.org/W2007972815","https://openalex.org/W2010466709","https://openalex.org/W2024935685","https://openalex.org/W2025341678","https://openalex.org/W2027248184","https://openalex.org/W2027922120","https://openalex.org/W2031823405","https://openalex.org/W2032642422","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2062118960","https://openalex.org/W2076455317","https://openalex.org/W2079666190","https://openalex.org/W2085789144","https://openalex.org/W2089468765","https://openalex.org/W2090101874","https://openalex.org/W2100235303","https://openalex.org/W2106253207","https://openalex.org/W2111700528","https://openalex.org/W2116589987","https://openalex.org/W2117866949","https://openalex.org/W2119474464","https://openalex.org/W2123111158","https://openalex.org/W2124372976","https://openalex.org/W2126250169","https://openalex.org/W2126574503","https://openalex.org/W2127069950","https://openalex.org/W2130055251","https://openalex.org/W2142674578","https://openalex.org/W2144299089","https://openalex.org/W2144903813","https://openalex.org/W2145295623","https://openalex.org/W2146512693","https://openalex.org/W2150772522","https://openalex.org/W2151103935","https://openalex.org/W2151207331","https://openalex.org/W2154462399","https://openalex.org/W2154630456","https://openalex.org/W2155893237","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164535072","https://openalex.org/W2171188027","https://openalex.org/W2186500555","https://openalex.org/W2197707282","https://openalex.org/W2397674542","https://openalex.org/W2408202817","https://openalex.org/W2408716783","https://openalex.org/W2509591188","https://openalex.org/W2590019597","https://openalex.org/W2604405260","https://openalex.org/W2610681481","https://openalex.org/W2619420291","https://openalex.org/W3120740533","https://openalex.org/W3149375329","https://openalex.org/W4301501800","https://openalex.org/W6602211964","https://openalex.org/W6608467388","https://openalex.org/W6610472804","https://openalex.org/W6631216910","https://openalex.org/W6633968015","https://openalex.org/W6636494156","https://openalex.org/W6638310485","https://openalex.org/W6641446668","https://openalex.org/W6677619952","https://openalex.org/W6677899840","https://openalex.org/W6678133184","https://openalex.org/W6679066655","https://openalex.org/W6681437887","https://openalex.org/W6682657502","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W6684191040","https://openalex.org/W6685188343","https://openalex.org/W6712554547","https://openalex.org/W6714032056","https://openalex.org/W6735520713","https://openalex.org/W6793156980"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2007593166","https://openalex.org/W2143234973","https://openalex.org/W2386063599"],"abstract_inverted_index":{"Multi-view":[0],"feature":[1,28,53,94],"learning":[2,9,29,54],"aims":[3],"at":[4],"improving":[5],"the":[6,70,74,82,89,100,111,117,123,138,142,170,173],"performances":[7,181],"of":[8,15,113,172],"tasks,":[10],"by":[11],"fusing":[12],"various":[13],"kinds":[14],"features":[16,21,33],"(views),":[17],"such":[18],"as":[19],"heterogeneous":[20],"and/or":[22],"homogeneous":[23],"features.":[24],"Current":[25],"leading":[26],"multi-view":[27,52],"approaches":[30],"usually":[31],"learn":[32,59],"in":[34,122,150],"each":[35,63,78,135],"view":[36,64,79,140],"separately":[37],"while":[38],"not":[39],"uncovering":[40],"shared":[41,66,90],"information":[42,84],"from":[43],"multiple":[44,97],"views.":[45,98],"In":[46],"this":[47,86],"paper,":[48],"we":[49,109],"propose":[50],"a":[51,151],"framework,":[55,153],"which":[56,176],"can":[57,80,92],"simultaneously":[58],"separate":[60,75],"subspace":[61,67,76,91,136],"for":[62,68,77,106,134],"and":[65,102,141],"all":[69],"views,":[71],"respectively;":[72],"specifically,":[73],"preserve":[81],"particular":[83],"within":[85,116,137],"view,":[87],"meanwhile,":[88],"capture":[93],"correlation":[95],"among":[96],"Both":[99],"particularity":[101],"communality":[103],"are":[104,147],"essential":[105],"classification.":[107],"Furthermore,":[108],"relax":[110],"labels":[112],"training":[114],"samples":[115],"concatenated":[118],"subspaces,":[119],"thus":[120],"resulting":[121],"retargeted":[124],"least":[125],"square":[126],"regression":[127],"(LSR)":[128],"classifier.":[129],"The":[130],"transformation":[131],"matrices":[132],"tailored":[133],"corresponding":[139],"label":[143],"relaxed":[144],"LSR":[145],"classifier":[146],"jointly":[148],"learned":[149],"unified":[152],"based":[154],"on":[155,163],"an":[156],"efficient":[157],"alternative":[158],"optimization":[159],"manner.":[160],"Extensive":[161],"experiments":[162],"four":[164],"benchmark":[165],"data":[166],"sets":[167],"well":[168],"demonstrate":[169],"superiority":[171],"proposed":[174],"method,":[175],"has":[177],"led":[178],"to":[179],"better":[180],"than":[182],"compared":[183],"counterpart":[184],"methods.":[185]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
