{"id":"https://openalex.org/W207198795","doi":"https://doi.org/10.24348/coria.2010.373","title":"Mesure de similarit\u00e9 pond\u00e9r\u00e9e dans l'espace 2D: Application \u00e0 la reconnaissance de visages.","display_name":"Mesure de similarit\u00e9 pond\u00e9r\u00e9e dans l'espace 2D: Application \u00e0 la reconnaissance de visages.","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W207198795","doi":"https://doi.org/10.24348/coria.2010.373","mag":"207198795"},"language":"fr","primary_location":{"id":"doi:10.24348/coria.2010.373","doi":"https://doi.org/10.24348/coria.2010.373","is_oa":true,"landing_page_url":"https://doi.org/10.24348/coria.2010.373","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.24348/coria.2010.373","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024114602","display_name":"Chahrazed Rouabhia","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rouabhia, Chahrazed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040682090","display_name":"Hicham Tebbikh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tebbikh, Hicham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0005000000237487257,"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/T10828","display_name":"Biometric Identification and Security","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/weighted-similarity-measure","display_name":"weighted similarity measure","score":0.9869999885559082},{"id":"https://openalex.org/keywords/2d-face-recognition","display_name":"2D face recognition","score":0.7160000205039978},{"id":"https://openalex.org/keywords/face-classification","display_name":"face classification","score":0.5580000281333923},{"id":"https://openalex.org/keywords/2dpca","display_name":"2DPCA","score":0.8180000185966492},{"id":"https://openalex.org/keywords/covariance-matrix-eigenvalues","display_name":"covariance matrix eigenvalues","score":0.8489999771118164},{"id":"https://openalex.org/keywords/nearest-neighbor-classification","display_name":"nearest neighbor classification","score":0.7319999933242798},{"id":"https://openalex.org/keywords/orl-face-database","display_name":"ORL face database","score":0.8700000047683716},{"id":"https://openalex.org/keywords/frobenius-distance","display_name":"Frobenius distance","score":0.8460000157356262}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6451950073242188},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4847133159637451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40293392539024353},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.3911662995815277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3748479187488556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19935110211372375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18215230107307434},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24348/coria.2010.373","doi":"https://doi.org/10.24348/coria.2010.373","is_oa":true,"landing_page_url":"https://doi.org/10.24348/coria.2010.373","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:207198795","doi":null,"is_oa":false,"landing_page_url":"http://asso-aria.org/coria/2010/373.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306507064","display_name":"CORIA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CORIA","raw_type":null}],"best_oa_location":{"id":"doi:10.24348/coria.2010.373","doi":"https://doi.org/10.24348/coria.2010.373","is_oa":true,"landing_page_url":"https://doi.org/10.24348/coria.2010.373","pdf_url":null,"source":{"id":"https://openalex.org/S7407051734","display_name":"Association en Recherche d\u2019Information et Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1761337995","https://openalex.org/W1985177823","https://openalex.org/W2095818338","https://openalex.org/W2102544846","https://openalex.org/W2108151885","https://openalex.org/W2114302666","https://openalex.org/W2138451337","https://openalex.org/W2150682505"],"related_works":["https://openalex.org/W6884972831","https://openalex.org/W7147632917","https://openalex.org/W17213785","https://openalex.org/W3211605900","https://openalex.org/W4392282840","https://openalex.org/W761651735","https://openalex.org/W7207248394","https://openalex.org/W3212354238","https://openalex.org/W2606560974","https://openalex.org/W1508897547"],"abstract_inverted_index":{"R\u00c9SUM\u00c9":[0],".":[1],"Cet":[2],"article":[3],"propose":[4],"une":[5],"nouvelle":[6],"mesure":[7],"de":[8,21,25,51,59,62,66,76,92,98,106,119,138,145],"similarit\u00e9":[9],"pond\u00e9r\u00e9e":[10,141],"bas\u00e9e":[11],"sur":[12,103],"des":[13,56,64,78,96],"matrices":[14,30,65],"pour":[15,124,128],"la":[16,19,60,74,93,104,136,139],"classification":[17,77],"et":[18,44,126,135,147],"reconnaissance":[20],"visages.":[22],"Le":[23],"calcul":[24],"distances":[26,144],"s'effectue":[27],"entre":[28],"deux":[29,34,116],"caract\u00e9ristiques":[31],"obtenues":[32],"par":[33],"m\u00e9thodes":[35],"bidimensionnelles":[36],"\u00e0":[37,73],"savoir":[38],"l'Analyse":[39,45],"en":[40,115],"Composantes":[41],"Principales":[42],"(ACP2D)":[43],"Discriminante":[46],"Lin\u00e9aire":[47],"(ADL2D).":[48],"Les":[49,131],"poids":[50],"pond\u00e9ration":[52],"utilis\u00e9s":[53],"sont":[54],"l'inverse":[55],"valeurs":[57],"propres":[58],"matrice":[61],"covariance":[63],"visages":[67,107],"tri\u00e9s":[68],"dans":[69],"l'ordre":[70],"d\u00e9croissant.":[71],"Quant":[72],"strat\u00e9gie":[75],"images":[79,121],"test,":[80],"elle":[81],"est":[82],"l'affectation":[83],"au":[84],"plus":[85],"proche":[86],"voisin.":[87],"Pour":[88],"\u00e9valuer":[89],"les":[90,143],"performances":[91],"distance":[94,140],"propos\u00e9e,":[95],"tests":[97],"simulations":[99],"ont":[100],"\u00e9t\u00e9":[101,113],"men\u00e9s":[102],"base":[105],"internationale":[108],"ORL.":[109],"Cette":[110],"derni\u00e8re":[111],"a":[112],"partitionn\u00e9e":[114],"sous":[117],"bases":[118],"200":[120],"chacune,":[122],"l'une":[123],"l'apprentissage":[125],"l'autre":[127],"le":[129],"test.":[130],"r\u00e9sultats":[132],"montrent":[133],"l'efficacit\u00e9":[134],"sup\u00e9riorit\u00e9":[137],"vis-\u00e0-vis":[142],"Yang":[146],"Frobenius.":[148]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
