{"id":"https://openalex.org/W2935865093","doi":"https://doi.org/10.1109/icassp.2019.8682786","title":"Discriminative Feature Selection Guided Deep Canonical Correlation Analysis","display_name":"Discriminative Feature Selection Guided Deep Canonical Correlation Analysis","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2935865093","doi":"https://doi.org/10.1109/icassp.2019.8682786","mag":"2935865093"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5021639083","display_name":"Nour El Din El Madany","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":true,"raw_author_name":"Nour El Din El Madany","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, 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, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, 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, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021639083"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40634135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"3487","last_page":"3491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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":0.9983999729156494,"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":0.984000027179718,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9775000214576721,"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/discriminative-model","display_name":"Discriminative model","score":0.9517521858215332},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7649766206741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7092412114143372},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6947061419487},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.618276834487915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663961172103882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5021989345550537},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48733362555503845},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4617903530597687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33826902508735657}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9517521858215332},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7649766206741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7092412114143372},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6947061419487},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.618276834487915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663961172103882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5021989345550537},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48733362555503845},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4617903530597687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33826902508735657},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1523385540","https://openalex.org/W1883346539","https://openalex.org/W2100235303","https://openalex.org/W2110455444","https://openalex.org/W2121007818","https://openalex.org/W2144564081","https://openalex.org/W2153635508","https://openalex.org/W2155797815","https://openalex.org/W2166049352","https://openalex.org/W2184188583","https://openalex.org/W2186500555","https://openalex.org/W2604308885","https://openalex.org/W2740360122","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6676423479","https://openalex.org/W6677853180","https://openalex.org/W6683120131","https://openalex.org/W6686207219","https://openalex.org/W6736314251","https://openalex.org/W6742056920"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2093195256","https://openalex.org/W2154562908","https://openalex.org/W2510961579","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,83],"novel":[4],"Discriminative":[5],"Feature":[6],"Selection":[7],"Guided":[8],"Deep":[9],"Canonical":[10],"Correlation":[11],"Analysis":[12],"(D":[13,23,76],"<sup":[14,24,77],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[15,25,78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[16,26,79],"CCA)":[17,27,80],"for":[18],"multiview":[19],"learning.":[20],"The":[21,69],"proposed":[22,75],"enhances":[28],"the":[29,33,39,42,51,66,74],"discriminative":[30,44],"power":[31],"of":[32,41],"learned":[34],"featured":[35],"representation":[36],"by":[37],"imposing":[38],"selection":[40],"most":[43],"features.":[45],"Moreover,":[46],"it":[47],"learns":[48],"to":[49,64,88],"maximize":[50],"correlations":[52],"between":[53],"two":[54],"views.":[55],"Also,":[56],"an":[57],"alternating":[58],"iterative":[59],"learning":[60],"algorithm":[61],"is":[62],"presented":[63],"find":[65],"sub-optimal":[67],"solution.":[68],"experimental":[70],"results":[71],"demonstrated":[72],"that":[73],"can":[81],"achieve":[82],"higher":[84],"average":[85],"accuracy":[86],"compared":[87],"several":[89],"existing":[90],"methods.":[91]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}