{"id":"https://openalex.org/W2945822230","doi":"https://doi.org/10.3233/jifs-181048","title":"A novel multi-view SVM based on consistent hidden density distributions between views for face recognition","display_name":"A novel multi-view SVM based on consistent hidden density distributions between views for face recognition","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2945822230","doi":"https://doi.org/10.3233/jifs-181048","mag":"2945822230"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-181048","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181048","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5059722188","display_name":"Zhibin Jiang","orcid":"https://orcid.org/0000-0002-8580-7609"},"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":true,"raw_author_name":"Zhibin Jiang","raw_affiliation_strings":["School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"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":"Jie Zhou","raw_affiliation_strings":["School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052229178","display_name":"Yuanpeng Zhang","orcid":"https://orcid.org/0000-0003-1736-3425"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]},{"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":"Yuanpeng Zhang","raw_affiliation_strings":["School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China","School of Medical Informatics, Nantong University, Nantong, Jiangsu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Medical Informatics, Nantong University, Nantong, Jiangsu, P.R. China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003183751","display_name":"Shitong Wang","orcid":"https://orcid.org/0000-0002-8393-6554"},"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":"Shitong Wang","raw_affiliation_strings":["School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059722188"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52114048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":"6","first_page":"5245","last_page":"5259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.979200005531311,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9645000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7299277186393738},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7028111815452576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6767544746398926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6385394930839539},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6135967969894409},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.590022087097168},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5737054347991943},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.558301568031311},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5066688656806946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3865987956523895}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7299277186393738},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7028111815452576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767544746398926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6385394930839539},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6135967969894409},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.590022087097168},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5737054347991943},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.558301568031311},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5066688656806946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3865987956523895},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.3233/jifs-181048","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181048","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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":49,"referenced_works":["https://openalex.org/W144419643","https://openalex.org/W1137131730","https://openalex.org/W1497960466","https://openalex.org/W1931059338","https://openalex.org/W1953764758","https://openalex.org/W1989702938","https://openalex.org/W2000624376","https://openalex.org/W2018898218","https://openalex.org/W2025341678","https://openalex.org/W2039050532","https://openalex.org/W2048679005","https://openalex.org/W2049538695","https://openalex.org/W2078118580","https://openalex.org/W2090101874","https://openalex.org/W2092193054","https://openalex.org/W2098693229","https://openalex.org/W2103024562","https://openalex.org/W2103560185","https://openalex.org/W2105636360","https://openalex.org/W2108154570","https://openalex.org/W2117381306","https://openalex.org/W2118020555","https://openalex.org/W2125874614","https://openalex.org/W2126250169","https://openalex.org/W2128614648","https://openalex.org/W2140076625","https://openalex.org/W2140556441","https://openalex.org/W2145234365","https://openalex.org/W2147283272","https://openalex.org/W2150761159","https://openalex.org/W2154462399","https://openalex.org/W2155759509","https://openalex.org/W2156142937","https://openalex.org/W2157038204","https://openalex.org/W2161366100","https://openalex.org/W2162880125","https://openalex.org/W2166782149","https://openalex.org/W2186500555","https://openalex.org/W2206110027","https://openalex.org/W2218659185","https://openalex.org/W2326862797","https://openalex.org/W2418258728","https://openalex.org/W2461533535","https://openalex.org/W2584922303","https://openalex.org/W2590019597","https://openalex.org/W2739698496","https://openalex.org/W6680860788","https://openalex.org/W6683181193","https://openalex.org/W6741565869"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Since":[0],"the":[1,14,23,28,33,47,50,53,64,67,84,93,149,152],"density":[2,88,116],"distribution":[3,89],"of":[4,70,151],"each":[5,20],"view,":[6],"which":[7],"can":[8],"be":[9],"often":[10],"built":[11],"only":[12],"from":[13,22,52,66],"corresponding":[15],"partial":[16],"data":[17],"observed":[18],"along":[19],"view":[21],"whole":[24],"face":[25,36,131,145],"data,":[26],"ignores":[27],"coherent":[29],"information":[30],"between":[31,49,63,90,118],"all":[32,83],"views,":[34,85],"multi-view":[35,108,130,154],"recognition":[37],"sometimes":[38],"is":[39,59,97,125,137],"seriously":[40],"troubled":[41],"by":[42,76],"an":[43,128],"unavoidable":[44],"phenomenon":[45],"that":[46,62],"dissimilarity":[48],"samples":[51,65],"same":[54,71],"class":[55],"but":[56],"different":[57,68],"views":[58,91,119],"greater":[60],"than":[61],"classes":[69],"view.":[72],"In":[73],"this":[74,103],"study,":[75],"considering":[77],"a":[78,106],"common":[79,94,121],"hidden":[80,87,95,115,122],"space":[81,96,123],"cross":[82],"consistent":[86,114],"in":[92,120],"delved":[98],"so":[99],"as":[100],"to":[101],"address":[102],"issue.":[104],"Accordingly,":[105],"novel":[107],"support":[109],"vector":[110],"machine":[111],"based":[112],"on":[113,143],"distributions":[117],"(2V-SVM-CHDD)":[124],"proposed":[126,153],"for":[127],"efficient":[129],"recognition,":[132],"and":[133],"its":[134],"theoretical":[135],"convergence":[136],"also":[138],"analyzed.":[139],"Extensive":[140],"experimental":[141],"results":[142],"real":[144],"image":[146],"datasets":[147],"indicate":[148],"effectiveness":[150],"method.":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
