{"id":"https://openalex.org/W2804556813","doi":"https://doi.org/10.1109/atsip.2018.8364460","title":"Weighted PCA-EFMNet: A deep learning network for Face Verification in the Wild","display_name":"Weighted PCA-EFMNet: A deep learning network for Face Verification in the Wild","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2804556813","doi":"https://doi.org/10.1109/atsip.2018.8364460","mag":"2804556813"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2018.8364460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5035337540","display_name":"Bilel Ameur","orcid":"https://orcid.org/0000-0002-9914-7605"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Bilel Ameur","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033344291","display_name":"M\u00e9barka Belahcene","orcid":null},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mebarka Belahcene","raw_affiliation_strings":["Command, Control and Communication, Mohamed Khider University, Biskra, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Command, Control and Communication, Mohamed Khider University, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108687445","display_name":"Sabeur Masmoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sabeur Masmoudi","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031967892","display_name":"Ahmed Ben Hamida","orcid":"https://orcid.org/0000-0001-6713-7384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ahmed Ben Hamida","raw_affiliation_strings":["ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATMS Advanced Technologies for Medecine and Signals, Sfax University, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9921000003814697,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.675715446472168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65825355052948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6248360276222229},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5617884397506714},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0645219087600708}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.675715446472168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65825355052948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248360276222229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5617884397506714},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0645219087600708},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2018.8364460","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364460","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1185609327","https://openalex.org/W1616262590","https://openalex.org/W1935685005","https://openalex.org/W1945705500","https://openalex.org/W1963589611","https://openalex.org/W1994274369","https://openalex.org/W2037184344","https://openalex.org/W2072072671","https://openalex.org/W2076434944","https://openalex.org/W2098017479","https://openalex.org/W2112796928","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2167383966","https://openalex.org/W2169488311","https://openalex.org/W2294059674","https://openalex.org/W2314785379","https://openalex.org/W2486556835","https://openalex.org/W2546302380","https://openalex.org/W2565076265","https://openalex.org/W2597404896","https://openalex.org/W2765772275","https://openalex.org/W3102431071","https://openalex.org/W6627885440","https://openalex.org/W6640455264","https://openalex.org/W6659886670","https://openalex.org/W6685048874","https://openalex.org/W6696761078"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"The":[0,42],"term":[1],"\u201cWild\u201d":[2],"refers":[3],"to":[4,14,84],"unconstrained":[5],"face":[6],"recognition":[7,33],"considered":[8],"as":[9,137,139],"a":[10],"challenging":[11],"problem":[12],"due":[13],"considerable":[15],"intra-class":[16],"variations":[17],"resulting":[18],"from":[19],"lighting,":[20],"occlusion,":[21],"facial":[22,32],"expressions":[23],"and":[24,72,93,101,117,120],"poses":[25],"changes.":[26],"These":[27],"challenges":[28],"greatly":[29],"influence":[30],"the":[31,104,108,126,129,155,162],"systems":[34],"performance,":[35],"especially":[36],"those":[37],"relying":[38],"on":[39,54,149],"2D":[40],"information.":[41],"paper":[43],"proposes":[44],"an":[45],"efficient":[46],"deep":[47],"learning":[48],"network":[49,111],"for":[50,99,122],"feature":[51],"extraction":[52],"based":[53],"data":[55],"processing":[56],"components:":[57],"1)":[58],"Cascaded":[59],"Weighted":[60,75,109],"principal":[61],"component":[62],"analysis":[63],"with":[64],"enhanced":[65],"fisher":[66],"model":[67],"(WPCA-EFM);":[68],"2)":[69],"Binary":[70],"hashing;":[71],"3)":[73],"Histograms.":[74],"PCA-EFM,":[76],"our":[77],"proposed":[78,105,163],"architecture,":[79,106],"was":[80],"applied":[81,98],"in":[82,125,154],"order":[83],"learn":[85],"multistage":[86],"filter":[87],"banks.":[88],"Then,":[89],"simple":[90,94],"block":[91],"histograms":[92],"binary":[95],"hashing":[96],"were":[97,146],"indexing":[100],"pooling.":[102],"Therefore,":[103],"named":[107],"PCA-EFM":[110],"(Weighted":[112],"PCA-EFMNet),":[113],"can":[114],"be":[115],"efficiently":[116],"easily":[118],"designed":[119],"learned":[121],"Face":[123],"Verification":[124],"Wild.":[127],"Ultimately,":[128],"classification":[130],"is":[131],"carried":[132,147],"employing":[133],"distance":[134],"measure":[135],"Cosine":[136],"well":[138],"support":[140],"vector":[141],"machine":[142],"(SVM).":[143],"Our":[144],"experiments":[145],"out":[148],"real-world":[150],"dataset:":[151],"Labeled":[152],"Faces":[153],"Wild":[156],"(LFW).":[157],"Experimental":[158],"results":[159],"show":[160],"that":[161],"methods":[164],"achieve":[165],"high":[166],"accuracy":[167],"of":[168],"95%.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
