{"id":"https://openalex.org/W2621064461","doi":"https://doi.org/10.1007/s10586-017-0958-5","title":"Collecting large training dataset of actual facial images from facebook for developing a weighted bagging gender classifier","display_name":"Collecting large training dataset of actual facial images from facebook for developing a weighted bagging gender classifier","publication_year":2017,"publication_date":"2017-06-03","ids":{"openalex":"https://openalex.org/W2621064461","doi":"https://doi.org/10.1007/s10586-017-0958-5","mag":"2621064461"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-017-0958-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0958-5","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0958-5.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0958-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016249688","display_name":"Min-Wook Kang","orcid":"https://orcid.org/0000-0002-4384-7899"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Wook Kang","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049641301","display_name":"Yonghwa Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yonghwa Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046329353","display_name":"Yoo-Sung Kim","orcid":"https://orcid.org/0000-0003-2017-4297"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoo-Sung Kim","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea"],"raw_orcid":"https://orcid.org/0000-0003-2017-4297","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, 402-751, Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":0.1847,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55857121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":"3","first_page":"2157","last_page":"2165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9975000023841858,"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":0.9699000120162964,"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/computer-science","display_name":"Computer science","score":0.845281183719635},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7732148170471191},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7387075424194336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7314369678497314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6705377101898193},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5894126892089844},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.481679767370224},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4473235607147217},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4325658977031708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3869577646255493},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21854755282402039},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18989139795303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845281183719635},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7732148170471191},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7387075424194336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7314369678497314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6705377101898193},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5894126892089844},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.481679767370224},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4473235607147217},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4325658977031708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3869577646255493},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21854755282402039},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18989139795303345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-017-0958-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0958-5","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0958-5.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10586-017-0958-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0958-5","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0958-5.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G8400263724","display_name":null,"funder_award_id":"B0101-15-1282-00010002","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320321370","display_name":"Inha University","ror":"https://ror.org/01easw929"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2621064461.pdf","grobid_xml":"https://content.openalex.org/works/W2621064461.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W180351714","https://openalex.org/W1540358749","https://openalex.org/W1782590233","https://openalex.org/W1828472411","https://openalex.org/W1971957654","https://openalex.org/W1979743748","https://openalex.org/W1997011019","https://openalex.org/W2005454515","https://openalex.org/W2018595846","https://openalex.org/W2031802401","https://openalex.org/W2039051707","https://openalex.org/W2051396567","https://openalex.org/W2100954553","https://openalex.org/W2103384342","https://openalex.org/W2118664399","https://openalex.org/W2135964285","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2164598857","https://openalex.org/W2325168940","https://openalex.org/W2477053037","https://openalex.org/W2538075359","https://openalex.org/W2540635231","https://openalex.org/W2561675875"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2168886923","https://openalex.org/W2148428954","https://openalex.org/W2049095871"],"abstract_inverted_index":{"Many":[0],"of":[1,9,69,84,113],"previous":[2],"gender":[3,50,65,103],"classifiers":[4],"have":[5],"a":[6,47,54,91,124],"common":[7,125],"problem":[8],"low":[10],"accuracy":[11,111],"in":[12,18,25,120],"classifying":[13],"actual":[14,36],"facial":[15,37],"images":[16,38],"taken":[17],"real":[19],"environments":[20],"since":[21],"they":[22],"were":[23],"learned":[24],"restricted":[26],"environments.":[27],"Therefore,":[28],"this":[29],"study":[30],"proposes":[31,46],"to":[32,41,57,98],"swiftly":[33],"collect":[34],"uncontrolled":[35],"from":[39],"Facebook":[40,55],"construct":[42],"training":[43],"dataset":[44,56,128],"and":[45,81],"weighted":[48,92],"bagging":[49,93],"classifier":[51,107],"which":[52],"utilizes":[53],"increase":[58],"the":[59,63,74,101,116,121],"classification":[60,66,94],"accuracy.":[61],"In":[62],"proposed":[64,97],"scheme,":[67],"utilization":[68],"unique":[70],"features":[71],"extracted":[72],"with":[73],"LBP":[75],"(Local":[76],"Binary":[77],"Patterns),":[78],"Gabor":[79],"wavelets,":[80],"HOG":[82],"(Histogram":[83],"Oriented":[85],"Gradients)":[86],"algorithms":[87],"was":[88,96],"proposed.":[89],"Also,":[90],"scheme":[95],"vote":[99],"on":[100],"final":[102],"classification.":[104],"The":[105],"developed":[106],"showed":[108],"comparatively":[109],"high":[110],"rate":[112],"94.68%":[114],"using":[115],"LFW":[117],"(Labeled":[118],"Faces":[119],"Wild)":[122],"dataset,":[123],"evaluation":[126],"test":[127],"for":[129],"face":[130],"recognition.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}