{"id":"https://openalex.org/W2508202655","doi":"https://doi.org/10.1109/iscas.2016.7527309","title":"Multiview emotion recognition via multi-set locality preserving canonical correlation analysis","display_name":"Multiview emotion recognition via multi-set locality preserving canonical correlation analysis","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2508202655","doi":"https://doi.org/10.1109/iscas.2016.7527309","mag":"2508202655"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7527309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7527309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5108241310","display_name":"Nour El Din Elmadany","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nour El Din Elmadany","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461963","display_name":"Yifeng He","orcid":"https://orcid.org/0000-0002-1700-3166"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yifeng He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001287866","display_name":"Ling Guan","orcid":"https://orcid.org/0000-0002-2681-2504"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ling Guan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":1.69,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.8942977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"590","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9891999959945679,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.9029022455215454},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.8230153918266296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411417961120605},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.7231647968292236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6451589465141296},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5936002731323242},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5548834204673767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5537034869194031},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.49929118156433105},{"id":"https://openalex.org/keywords/data-correlation","display_name":"Data correlation","score":0.43483227491378784},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41422972083091736},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41150182485580444},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2772875726222992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17511022090911865}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.9029022455215454},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8230153918266296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411417961120605},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.7231647968292236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6451589465141296},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5936002731323242},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5548834204673767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5537034869194031},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49929118156433105},{"id":"https://openalex.org/C2985953642","wikidata":"https://www.wikidata.org/wiki/Q186290","display_name":"Data correlation","level":2,"score":0.43483227491378784},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41422972083091736},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41150182485580444},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2772875726222992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17511022090911865},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/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/iscas.2016.7527309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7527309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2025341678","https://openalex.org/W2083095455","https://openalex.org/W2088489891","https://openalex.org/W2111427896","https://openalex.org/W2112571887","https://openalex.org/W2130055251","https://openalex.org/W2137225583","https://openalex.org/W2153635508","https://openalex.org/W2154872931","https://openalex.org/W2157297238","https://openalex.org/W2799061466","https://openalex.org/W3141819983","https://openalex.org/W4244494905","https://openalex.org/W4251308012","https://openalex.org/W6676617407","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W2313359725","https://openalex.org/W2375550484","https://openalex.org/W2619932150","https://openalex.org/W3134705486","https://openalex.org/W2013124714","https://openalex.org/W2189693141","https://openalex.org/W789966232"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,76],"novel":[6],"Multi-set":[7],"Locality-Preserving":[8],"Canonical":[9],"Correlation":[10],"Analysis":[11],"(MLPCCA)":[12],"for":[13,33],"multi-view":[14],"learning":[15],"and":[16,61,88],"fusion.":[17],"The":[18,66],"proposed":[19,48,51,72],"MLPCCA":[20,73],"captures":[21],"the":[22,30,35,44,47,50,71,82],"intrinsic":[23],"structure":[24],"of":[25,40,46],"data":[26],"while":[27],"it":[28],"learns":[29],"optimum":[31],"basis":[32],"maximizing":[34],"correlation":[36],"among":[37],"different":[38],"sets":[39],"data.":[41],"To":[42],"verify":[43],"effectiveness":[45],"technique,":[49],"MLPC":[52],"A":[53],"has":[54],"been":[55],"applied":[56],"in":[57],"audio-based":[58],"emotion":[59,63],"recognition":[60,78],"visual-based":[62],"recognition,":[64],"respectively.":[65],"experimental":[67],"results":[68],"demonstrated":[69],"that":[70],"can":[74],"achieve":[75],"higher":[77],"accuracy":[79],"compared":[80],"to":[81],"existing":[83],"methods":[84],"including":[85],"CCA,":[86],"LPCCA,":[87],"MCCA.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
