{"id":"https://openalex.org/W2538798940","doi":"https://doi.org/10.1109/acpr.2011.6166562","title":"Multiple view semi-supervised discriminant analysis","display_name":"Multiple view semi-supervised discriminant analysis","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2538798940","doi":"https://doi.org/10.1109/acpr.2011.6166562","mag":"2538798940"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5084922351","display_name":"Xuesong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuesong Yin","raw_affiliation_strings":["School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373745","display_name":"Xiaohong Chen","orcid":"https://orcid.org/0000-0002-9797-8384"},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Chen","raw_affiliation_strings":["School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100891631","display_name":"Xiaofang Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Ruan","raw_affiliation_strings":["School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102534016","display_name":"Yarong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yarong Huang","raw_affiliation_strings":["School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Zhejiang Radio and TV University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084922351"],"corresponding_institution_ids":["https://openalex.org/I4210132223"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33815753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"82","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9520999789237976,"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":0.9373999834060669,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8120396137237549},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.7464818954467773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7391115427017212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.700891375541687},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6842567920684814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168418526649475},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6104414463043213},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5341317653656006},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.5297112464904785},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4191475212574005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34978431463241577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3258550465106964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13173988461494446},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0999666154384613}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8120396137237549},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.7464818954467773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7391115427017212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.700891375541687},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6842567920684814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168418526649475},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6104414463043213},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5341317653656006},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.5297112464904785},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4191475212574005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34978431463241577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3258550465106964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13173988461494446},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0999666154384613},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W87822204","https://openalex.org/W1564277727","https://openalex.org/W1964137886","https://openalex.org/W1969204685","https://openalex.org/W2056766567","https://openalex.org/W2062112832","https://openalex.org/W2080322700","https://openalex.org/W2082925319","https://openalex.org/W2108263194","https://openalex.org/W2139224176","https://openalex.org/W2145357920","https://openalex.org/W2154872931","https://openalex.org/W2160914206","https://openalex.org/W2163584563","https://openalex.org/W2167267197","https://openalex.org/W2170858770","https://openalex.org/W2171500336","https://openalex.org/W2539576140","https://openalex.org/W6682644385","https://openalex.org/W6685372642","https://openalex.org/W6729220875"],"related_works":["https://openalex.org/W1999647744","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2375208160","https://openalex.org/W2113920489","https://openalex.org/W2371177901","https://openalex.org/W1534459252","https://openalex.org/W1984472287"],"abstract_inverted_index":{"Beyond":[0],"conventional":[1],"semi-supervised":[2,19],"dimensionality":[3,132],"reduction":[4,133],"methods":[5],"which":[6],"data":[7,34,57,119],"are":[8,21,58,79],"represented":[9],"in":[10,65,87],"a":[11,24,46,124],"single":[12],"vector":[13],"or":[14],"graph":[15],"space,":[16],"multiple":[17,29,32,41,99,102],"view":[18,33,42,49],"ones":[20],"to":[22,60,81],"learn":[23,93],"hidden":[25],"consensus":[26],"pattern":[27,96],"from":[28,97],"representations":[30,103],"of":[31,101,111,130],"together":[35],"with":[36,104],"some":[37],"domain":[38],"knowledge.":[39],"Under":[40],"settings,":[43],"we":[44,91],"propose":[45],"new":[47],"Multiple":[48],"Semi-supervised":[50],"Discriminant":[51],"Analysis":[52],"(MSDA).":[53],"Specifically,":[54],"the":[55,62,70,73,76,83,98,109,128],"labeled":[56,74],"used":[59,80],"infer":[61],"discriminant":[63],"structure":[64,86],"each":[66,88,112],"view.":[67,89,113],"Simultaneously,":[68],"all":[69],"data,":[71],"including":[72],"and":[75],"unlabeled":[77],"instances,":[78],"discover":[82],"intrinsic":[84],"geometrical":[85],"Thus,":[90],"can":[92],"an":[94],"optimal":[95],"patterns":[100],"serial":[105],"combination":[106],"after":[107],"getting":[108],"projection":[110],"Experiments":[114],"carried":[115],"out":[116],"on":[117],"real-world":[118],"sets":[120],"by":[121],"MSDA":[122],"show":[123],"clear":[125],"improvement":[126],"over":[127],"results":[129],"representative":[131],"algorithms.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}