{"id":"https://openalex.org/W2061835236","doi":"https://doi.org/10.1109/robio.2011.6181444","title":"Gender recognition based on ensemble learning with selective features for service robotics applications","display_name":"Gender recognition based on ensemble learning with selective features for service robotics applications","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2061835236","doi":"https://doi.org/10.1109/robio.2011.6181444","mag":"2061835236"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2011.6181444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","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/A5113503581","display_name":"Ren C. Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ren C. Luo","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019846438","display_name":"Tzu Ta Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu Ta Lin","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115588377","display_name":"Kuan Yu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan Yu Chen","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 106","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45885185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"1159","last_page":"1164"},"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/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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":0.9595000147819519,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8536141514778137},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8258870840072632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7280762791633606},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6916568279266357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858931183815002},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.6260078549385071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5987842679023743},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5986605286598206},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5724560022354126},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5060414671897888},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4460257589817047},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4332411289215088},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19329556822776794},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1447717845439911}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8536141514778137},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8258870840072632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7280762791633606},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6916568279266357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858931183815002},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.6260078549385071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5987842679023743},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5986605286598206},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5724560022354126},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5060414671897888},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4460257589817047},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4332411289215088},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19329556822776794},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1447717845439911}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2011.6181444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"},{"score":0.41999998688697815,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1975383163","https://openalex.org/W1987859285","https://openalex.org/W2020944503","https://openalex.org/W2039051707","https://openalex.org/W2046574745","https://openalex.org/W2097777575","https://openalex.org/W2101392314","https://openalex.org/W2108496475","https://openalex.org/W2121647436","https://openalex.org/W2123687672","https://openalex.org/W2123745212","https://openalex.org/W2124868070","https://openalex.org/W2130258210","https://openalex.org/W2137401668","https://openalex.org/W2150757437","https://openalex.org/W2153635508","https://openalex.org/W2156908162","https://openalex.org/W2158617780","https://openalex.org/W2164598857","https://openalex.org/W2177287823","https://openalex.org/W2912934387","https://openalex.org/W3097096317","https://openalex.org/W3120421331","https://openalex.org/W4212883601","https://openalex.org/W6661985147","https://openalex.org/W6676329490","https://openalex.org/W6678140244","https://openalex.org/W6678393071","https://openalex.org/W6980646113"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W1981866886","https://openalex.org/W1819627533","https://openalex.org/W4233259193","https://openalex.org/W2052615004","https://openalex.org/W2600353413","https://openalex.org/W4390916549","https://openalex.org/W2915435096","https://openalex.org/W2104246955","https://openalex.org/W2145836532"],"abstract_inverted_index":{"Gender":[0],"recognition":[1,78],"for":[2],"interactive":[3],"functions":[4],"becomes":[5],"essential":[6],"topic":[7],"in":[8,28,110],"terms":[9],"of":[10,26,75,118],"service":[11],"robotics":[12],"applications.":[13],"Ensemble":[14],"learning":[15,38],"which":[16,45],"combines":[17],"multiple":[18],"classifiers":[19,93,97],"prediction":[20],"is":[21,133,149],"now":[22],"an":[23,36],"active":[24],"area":[25],"research":[27],"Machine":[29],"Learning":[30],"and":[31,64,87],"Pattern":[32],"Recognition.":[33],"We":[34,69],"propose":[35],"ensemble":[37,96,111],"to":[39],"facilitate":[40],"gender":[41,77],"classification.":[42],"The":[43],"features":[44],"we":[46,114,126],"use":[47],"are":[48,98],"raw":[49],"data":[50],"(image":[51],"pixels":[52],"as":[53,107,140],"input),":[54],"Local":[55,59],"binary":[56],"pattern":[57,61],"(LBP),":[58],"derivative":[60],"(LDP),":[62],"Gabor,":[63],"Weber":[65],"local":[66],"descriptors":[67],"(WLD).":[68],"carry":[70],"out":[71],"comparative":[72],"experimental":[73],"studies":[74],"various":[76],"schemes,":[79],"including":[80],"Eigenfaces,":[81],"any":[82],"individual":[83,92],"classifiers,":[84],"Rotation":[85],"Forest,":[86],"Adaboost.":[88],"Specifically,":[89],"not":[90],"only":[91],"but":[94],"also":[95],"based":[99],"on":[100,121],"Support":[101],"Vector":[102],"Machine,":[103],"namely":[104],"using":[105,143],"SVM":[106,139],"component":[108,141],"classifier":[109,142],"learning.":[112],"Furthermore,":[113],"evaluate":[115],"the":[116,129,144,151],"effect":[117],"image":[119,158],"size":[120,159],"classification":[122,131,152],"rate.":[123],"In":[124],"conclusion,":[125],"find":[127],"that":[128,150],"best":[130],"rate":[132],"achieved":[134],"with":[135,138],"Discrete":[136],"Adaboost":[137],"aforementioned":[145],"features.":[146],"Another":[147],"finding":[148],"rates":[153],"will":[154],"increase":[155],"when":[156],"face":[157],"increases.":[160]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
