{"id":"https://openalex.org/W2942266798","doi":"https://doi.org/10.1109/access.2019.2910322","title":"Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier","display_name":"Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2942266798","doi":"https://doi.org/10.1109/access.2019.2910322","mag":"2942266798"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2910322","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2910322","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08686076.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08686076.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101429842","display_name":"Ting Shu","orcid":"https://orcid.org/0000-0002-8630-7868"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Ting Shu","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-8630-7868","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101429842"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3267,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8437564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"49669","last_page":"49679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.991599977016449,"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":0.991599977016449,"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":0.9800000190734863,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9692000150680542,"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/computer-science","display_name":"Computer science","score":0.7670533657073975},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7514394521713257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709064841270447},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6440838575363159},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5335049629211426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5014913082122803},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4345327615737915},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4228653609752655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34667372703552246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670533657073975},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7514394521713257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709064841270447},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6440838575363159},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5335049629211426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5014913082122803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4345327615737915},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4228653609752655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34667372703552246}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2910322","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2910322","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08686076.pdf","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:1cf251117b784100862709efbe64c12f","is_oa":false,"landing_page_url":"https://doaj.org/article/1cf251117b784100862709efbe64c12f","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 49669-49679 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2910322","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2910322","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08686076.pdf","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":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942266798.pdf","grobid_xml":"https://content.openalex.org/works/W2942266798.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W151604921","https://openalex.org/W191001584","https://openalex.org/W1201875361","https://openalex.org/W1497960466","https://openalex.org/W1531883353","https://openalex.org/W1563653928","https://openalex.org/W1670132599","https://openalex.org/W1915109052","https://openalex.org/W1972025477","https://openalex.org/W1999693420","https://openalex.org/W2025341678","https://openalex.org/W2033419168","https://openalex.org/W2035299679","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2052800689","https://openalex.org/W2071207147","https://openalex.org/W2103384342","https://openalex.org/W2103560185","https://openalex.org/W2112796928","https://openalex.org/W2120149881","https://openalex.org/W2125874614","https://openalex.org/W2126250169","https://openalex.org/W2132467081","https://openalex.org/W2133348086","https://openalex.org/W2145295623","https://openalex.org/W2154462399","https://openalex.org/W2163808566","https://openalex.org/W2164535072","https://openalex.org/W2166371785","https://openalex.org/W2171188027","https://openalex.org/W2171332245","https://openalex.org/W2202025056","https://openalex.org/W2271444084","https://openalex.org/W2414522539","https://openalex.org/W2509197032","https://openalex.org/W2519597991","https://openalex.org/W2610694266","https://openalex.org/W2613082162","https://openalex.org/W2619932150","https://openalex.org/W2735430302","https://openalex.org/W2756807093","https://openalex.org/W2783686780","https://openalex.org/W2803108067","https://openalex.org/W2809113080","https://openalex.org/W2889474474","https://openalex.org/W2894784310","https://openalex.org/W4298082496","https://openalex.org/W6602211964","https://openalex.org/W6640140148","https://openalex.org/W6641446668","https://openalex.org/W6663996602","https://openalex.org/W6679066655","https://openalex.org/W6679629151","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W6684213969","https://openalex.org/W6685188343","https://openalex.org/W6725079823","https://openalex.org/W6737681624","https://openalex.org/W6754876064"],"related_works":["https://openalex.org/W2007593166","https://openalex.org/W2143234973","https://openalex.org/W1603777065","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1548677759","https://openalex.org/W109131529","https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800"],"abstract_inverted_index":{"Multi-view":[0],"data":[1,124],"represented":[2],"in":[3,47,54,108,125,165],"multiple":[4,34],"views":[5,42],"contains":[6],"more":[7],"complementary":[8],"information":[9,120],"than":[10],"a":[11,63],"single":[12],"view,":[13],"whereby":[14],"multi-view":[15,21,27,48,67,123,166],"learning":[16,28,49],"explores":[17],"and":[18,41,65,96,137,146,163],"utilizes":[19],"the":[20,31,37,55,76,104,114,119,122,151],"data.":[22],"In":[23,58],"general,":[24],"most":[25],"existing":[26,56],"methods":[29],"consider":[30],"correlation":[32],"between":[33,39],"views.":[35],"However,":[36],"relationship":[38],"classes":[40],"which":[43],"is":[44,131,160],"also":[45],"important":[46],"has":[50],"never":[51],"been":[52],"involved":[53],"works.":[57],"this":[59],"paper,":[60],"we":[61],"propose":[62],"fast":[64],"effective":[66],"nearest-subspace":[68],"classifier":[69],"(MV-NSC)":[70],"by":[71],"taking":[72],"advantage":[73],"of":[74,82,121],"both":[75,144],"two":[77],"relationships":[78],"simultaneously.":[79],"MV-NSC":[80],"consists":[81],"four":[83,134],"main":[84],"parts:":[85],"(1)":[86],"projection":[87],"residual,":[88],"(2)":[89],"view-dependent":[90],"class":[91],"separability,":[92],"(3)":[93],"view":[94],"similarity,":[95],"(4)":[97],"final":[98,110],"decision.":[99],"The":[100],"last":[101],"part":[102],"combines":[103],"first":[105,115],"three":[106,116],"parts":[107,117],"one":[109],"decision":[111],"matrix,":[112],"while":[113],"utilize":[118],"various":[126],"aspects.":[127],"Our":[128],"proposed":[129,158],"method":[130,159],"evaluated":[132],"on":[133],"benchmark":[135],"datasets":[136],"compared":[138],"with":[139],"seven":[140],"other":[141],"classifiers":[142],"including":[143],"multi-":[145],"single-view":[147],"algorithms.":[148],"According":[149],"to":[150],"experimental":[152],"results,":[153],"it":[154],"shows":[155],"that":[156],"our":[157],"effective,":[161],"efficient,":[162],"robust":[164],"classification.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
