{"id":"https://openalex.org/W2029718921","doi":"https://doi.org/10.1145/1947940.1948011","title":"Gender classification by principal component analysis and support vector machine","display_name":"Gender classification by principal component analysis and support vector machine","publication_year":2011,"publication_date":"2011-02-12","ids":{"openalex":"https://openalex.org/W2029718921","doi":"https://doi.org/10.1145/1947940.1948011","mag":"2029718921"},"language":"en","primary_location":{"id":"doi:10.1145/1947940.1948011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing & Security","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":null,"display_name":"Sunita Kumari","orcid":null},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunita Kumari","raw_affiliation_strings":["National Institute of Technology Rourkela, Rourkela, Odisha, India","National Institute of Technology, Rourkela Rourkela, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"National Institute of Technology, Rourkela Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738690","display_name":"Pankaj Kumar","orcid":"https://orcid.org/0000-0002-8362-3873"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Kumar Sa","raw_affiliation_strings":["National Institute of Technology Rourkela, Rourkela, Odisha, India","National Institute of Technology, Rourkela Rourkela, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"National Institute of Technology, Rourkela Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101783559","display_name":"Banshidhar Majhi","orcid":"https://orcid.org/0000-0002-2843-1908"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Banshidhar Majhi","raw_affiliation_strings":["National Institute of Technology Rourkela, Rourkela, Odisha, India","National Institute of Technology, Rourkela Rourkela, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Rourkela, Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"National Institute of Technology, Rourkela Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3085,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82998598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"342"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9761999845504761,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8943914771080017},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8874037265777588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7425513863563538},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6757447719573975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6610317230224609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528518199920654},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4919240474700928},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4835924506187439},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4740683436393738},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45538875460624695},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4489794969558716},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.42887288331985474},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41517484188079834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36441877484321594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32918301224708557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31137800216674805}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8943914771080017},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8874037265777588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7425513863563538},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6757447719573975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6610317230224609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528518199920654},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4919240474700928},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4835924506187439},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4740683436393738},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45538875460624695},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4489794969558716},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.42887288331985474},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41517484188079834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36441877484321594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32918301224708557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31137800216674805},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1947940.1948011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing & Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W198953946","https://openalex.org/W1542290855","https://openalex.org/W1557981788","https://openalex.org/W2005974123","https://openalex.org/W2038746948","https://openalex.org/W2097665214","https://openalex.org/W2101392314","https://openalex.org/W2109430927","https://openalex.org/W2123687672","https://openalex.org/W2133280390","https://openalex.org/W2137587587","https://openalex.org/W2138451337","https://openalex.org/W2158617780","https://openalex.org/W2158735869"],"related_works":["https://openalex.org/W4291214623","https://openalex.org/W147281455","https://openalex.org/W2119118554","https://openalex.org/W2352397209","https://openalex.org/W2189588699","https://openalex.org/W2565312173","https://openalex.org/W2387907531","https://openalex.org/W2356478727","https://openalex.org/W2349452475","https://openalex.org/W2019129831"],"abstract_inverted_index":{"Performance":[0],"of":[1,21,40,80],"any":[2],"system":[3],"is":[4,48,70,83],"identified":[5],"by":[6],"its":[7],"accuracy":[8,79],"and":[9,63,82],"speed.":[10],"Accuracy":[11],"depends":[12,18],"on":[13,19],"underlying":[14],"algorithm":[15],"while":[16],"speed":[17,41],"size":[20],"the":[22,38],"database.":[23],"A":[24],"tradeoff":[25],"between":[26],"these":[27],"two":[28],"contradictory":[29],"aspects":[30],"has":[31],"to":[32,50],"be":[33],"achieved.":[34],"This":[35],"paper":[36],"addresses":[37],"problem":[39],"using":[42],"gender":[43,73],"classification.":[44,74],"Principal":[45],"Component":[46],"AnalysisPCA":[47],"used":[49,71],"represent":[51],"each":[52],"image":[53],"as":[54],"a":[55,59,65],"feature":[56],"vector":[57],"in":[58],"low":[60],"dimensional":[61],"subspace":[62],"then":[64],"non-linear":[66],"Support":[67],"Vector":[68],"Machine(SVM)":[69],"for":[72],"Experimental":[75],"results":[76],"show":[77],"an":[78],"92%":[81],"compared":[84],"with":[85],"other":[86],"existing":[87],"research.":[88]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}