{"id":"https://openalex.org/W1963801969","doi":"https://doi.org/10.1109/siu.2013.6531267","title":"Facial feature selection for gender recognition based on random decision forests","display_name":"Facial feature selection for gender recognition based on random decision forests","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1963801969","doi":"https://doi.org/10.1109/siu.2013.6531267","mag":"1963801969"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2013.6531267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031323042","display_name":"Guney Kayim","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G. Kayim","raw_affiliation_strings":["Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109536510","display_name":"Cihan Sar\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"C. Sari","raw_affiliation_strings":["Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003296820","display_name":"Ceyhun Burak Akg\u00fcl","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"C. B. Akgul","raw_affiliation_strings":["Vistek ISRA Vision, Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vistek ISRA Vision, Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Vistek ISRA Vision, Bogazici Univ., Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.6236,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.661651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9977999925613403,"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":0.989799976348877,"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/discriminative-model","display_name":"Discriminative model","score":0.871816873550415},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8416372537612915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7639302015304565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.721773087978363},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7101917266845703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670712947845459},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6522788405418396},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5078890919685364},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.479907363653183},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4504191279411316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44324761629104614}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.871816873550415},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8416372537612915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7639302015304565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.721773087978363},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7101917266845703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670712947845459},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6522788405418396},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5078890919685364},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.479907363653183},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4504191279411316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44324761629104614}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2013.6531267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2013.6531267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 21st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1533329149","https://openalex.org/W1615258228","https://openalex.org/W1782590233","https://openalex.org/W2097665214","https://openalex.org/W2101392314","https://openalex.org/W2104899884","https://openalex.org/W6638046521","https://openalex.org/W6675876867"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4388745254","https://openalex.org/W2889302474","https://openalex.org/W2980082554","https://openalex.org/W2510961579","https://openalex.org/W1517228774","https://openalex.org/W1487808658","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,80,93],"primarily":[4],"aim":[5],"at":[6],"estimating":[7],"the":[8,35,44,58,71,104,113,121],"performance":[9,62,74,98],"of":[10,75,107],"SVM-based":[11],"gender":[12,125],"recognition":[13],"using":[14],"widely":[15],"used":[16,82,118],"DCT":[17],"and":[18,32,92],"LBP":[19],"facial":[20,124],"features,":[21],"as":[22,24,68,86],"faithful":[23],"possible.":[25],"The":[26],"SVM":[27],"classifier":[28],"has":[29,51],"been":[30,52],"trained":[31],"cross-validated":[33],"on":[34,63,77],"FERET":[36,64],"database":[37,46],"containing":[38,47],"2720":[39],"instances,":[40],"while":[41,102],"for":[42],"testing,":[43],"LFW":[45],"over":[48,59],"13000":[49],"instances":[50],"used.":[53],"We":[54],"have":[55,81,94],"observed":[56],"that":[57,96],"95%":[60],"cross-validation":[61],"is":[65],"overly":[66],"optimistic":[67],"compared":[69],"to":[70,119],"true":[72],"test":[73],"%78":[76],"LFW.":[78],"Additionally,":[79],"random":[83],"decision":[84],"forests":[85],"a":[87,111],"discriminative":[88,123],"feature":[89],"selection":[90],"scheme":[91,114],"shown":[95],"similar":[97],"can":[99,115],"be":[100,117],"maintained":[101],"reducing":[103],"original":[105],"number":[106],"features":[108],"significantly.":[109],"As":[110],"by-product,":[112],"also":[116],"localize":[120],"most":[122],"features.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
