{"id":"https://openalex.org/W2121596572","doi":"https://doi.org/10.1109/coginf.2002.1039318","title":"Face recognition using a fuzzy-Gaussian neural network","display_name":"Face recognition using a fuzzy-Gaussian neural network","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2121596572","doi":"https://doi.org/10.1109/coginf.2002.1039318","mag":"2121596572"},"language":"en","primary_location":{"id":"doi:10.1109/coginf.2002.1039318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2002.1039318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings First IEEE International Conference on Cognitive Informatics","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":"https://openalex.org/A5050266750","display_name":"Victor-Emil Neagoe","orcid":"https://orcid.org/0000-0003-1586-6563"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"V.-E. Neagoe","raw_affiliation_strings":["Department of Applied Electronics and Information Engineering, POLITEHNICA University of Bucharest, Bucharest, Romania","Dept. of Appl. Electron. & Inf. Eng., Politehnic Univ. of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, POLITEHNICA University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Dept. of Appl. Electron. & Inf. Eng., Politehnic Univ. of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042286369","display_name":"Iuliana F. Iatan","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"I.-F. Iatan","raw_affiliation_strings":["Department of Applied Electronics and Information Engineering, POLITEHNICA University of Bucharest, Bucharest, Romania","Dept. of Appl. Electron. & Inf. Eng., Politehnic Univ. of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Applied Electronics and Information Engineering, POLITEHNICA University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Dept. of Appl. Electron. & Inf. Eng., Politehnic Univ. of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050266750"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.5338,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.6878932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"83","issue":null,"first_page":"361","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10320","display_name":"Neural Networks and Applications","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7523785829544067},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7144218683242798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052103877067566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701273322105408},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.606061577796936},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5509818196296692},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5439318418502808},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.51450514793396},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5144060254096985},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5066459774971008},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43699201941490173},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4221838116645813},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41874101758003235},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4122586250305176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10908550024032593}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7523785829544067},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7144218683242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052103877067566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701273322105408},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.606061577796936},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5509818196296692},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5439318418502808},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.51450514793396},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5144060254096985},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5066459774971008},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43699201941490173},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4221838116645813},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41874101758003235},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4122586250305176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10908550024032593},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/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/coginf.2002.1039318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginf.2002.1039318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings First IEEE International Conference on Cognitive Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1518257554","https://openalex.org/W1552250555","https://openalex.org/W2017115857","https://openalex.org/W2037221767","https://openalex.org/W2115689562","https://openalex.org/W2125408827","https://openalex.org/W2135463994","https://openalex.org/W2499254968","https://openalex.org/W2798806308"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376","https://openalex.org/W2388958958"],"abstract_inverted_index":{"We":[0,34,73,114,133],"present":[1],"a":[2,7,26,88,127,136],"face":[3,45,84],"recognition":[4,46,85,96],"approach":[5],"using":[6,54,70,126],"new":[8],"version":[9],"of":[10,78,90,111,120,139],"Chen":[11],"and":[12,66,81],"Teng's":[13],"(1998)":[14],"fuzzy":[15,130],"neural":[16,31],"network,":[17],"which":[18],"we":[19],"have":[20,35,74,115],"modified":[21,37],"from":[22],"an":[23],"identifier":[24],"into":[25],"neurofuzzy":[27],"classifier":[28],"called":[29],"fuzzy-Gaussian":[30],"network":[32],"(FGNN).":[33],"deduced":[36],"equations":[38],"for":[39,87,105],"training":[40],"the":[41,61,71,79,83,102,108,118,121,140],"FGNN.":[42,72],"Our":[43],"presented":[44],"cascade":[47],"has":[48,98],"two":[49],"stages:":[50],"(a)":[51],"feature":[52,112],"extraction":[53],"either":[55],"principal":[56],"component":[57],"analysis":[58],"(PCA)":[59],"or":[60],"discrete":[62],"cosine":[63],"transform":[64],"(DCT);":[65],"(b)":[67],"pattern":[68],"classification":[69],"performed":[75],"software":[76],"implementation":[77],"algorithm":[80],"experimented":[82],"task":[86],"database":[89],"100":[91],"images":[92],"(10":[93],"classes).":[94],"The":[95],"score":[97],"been":[99],"100%":[100],"(for":[101],"test":[103],"lot)":[104],"almost":[106],"all":[107],"considered":[109],"variants":[110],"extraction.":[113],"also":[116],"compared":[117],"performances":[119],"FGNN":[122,142],"with":[123],"those":[124],"obtained":[125],"classical":[128],"multilayer":[129],"perceptron":[131],"(FP).":[132],"can":[134],"deduce":[135],"significant":[137],"advantage":[138],"proposed":[141],"over":[143],"FP.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}