{"id":"https://openalex.org/W2105617712","doi":"https://doi.org/10.1109/cvprw.2010.5543820","title":"Face age estimation using model selection","display_name":"Face age estimation using model selection","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2105617712","doi":"https://doi.org/10.1109/cvprw.2010.5543820","mag":"2105617712"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2010.5543820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","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/A5014052149","display_name":"Cuixian Chen","orcid":"https://orcid.org/0000-0003-0938-8841"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cuixian Chen","raw_affiliation_strings":["Computer Science, UNCW, USA","[Computer Science, UNCW, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, UNCW, USA","institution_ids":[]},{"raw_affiliation_string":"[Computer Science, UNCW, USA]","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014379796","display_name":"Yaw Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaw Chang","raw_affiliation_strings":["Computer Science, UNCW, USA","Math & Stat, UNCW, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, UNCW, USA","institution_ids":[]},{"raw_affiliation_string":"Math & Stat, UNCW, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058706472","display_name":"Karl Ricanek","orcid":"https://orcid.org/0000-0002-0165-2006"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karl Ricanek","raw_affiliation_strings":["Computer Science, UNCW, USA","[Computer Science, UNCW, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, UNCW, USA","institution_ids":[]},{"raw_affiliation_string":"[Computer Science, UNCW, USA]","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101584565","display_name":"Yishi Wang","orcid":"https://orcid.org/0000-0002-9677-5112"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yishi Wang","raw_affiliation_strings":["Computer Science, UNCW, USA","Math & Stat, UNCW, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, UNCW, USA","institution_ids":[]},{"raw_affiliation_string":"Math & Stat, UNCW, USA","institution_ids":["https://openalex.org/I153901656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153901656"],"apc_list":null,"apc_paid":null,"fwci":3.875,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94160673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9769999980926514,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9668999910354614,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6441651582717896},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6080357432365417},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6063352227210999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002794504165649},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4223731756210327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3628459572792053},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15500175952911377},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07804244756698608}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6441651582717896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6080357432365417},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6063352227210999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002794504165649},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4223731756210327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3628459572792053},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15500175952911377},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07804244756698608},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/cvprw.2010.5543820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2010.5543820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4300000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W86824745","https://openalex.org/W1554944419","https://openalex.org/W2032454342","https://openalex.org/W2056783896","https://openalex.org/W2061759159","https://openalex.org/W2063978378","https://openalex.org/W2073351001","https://openalex.org/W2102331633","https://openalex.org/W2103077782","https://openalex.org/W2106488920","https://openalex.org/W2112496463","https://openalex.org/W2134213389","https://openalex.org/W2135046866","https://openalex.org/W2138173495","https://openalex.org/W2147278565","https://openalex.org/W2148603752","https://openalex.org/W2154872931","https://openalex.org/W2159888472","https://openalex.org/W2171033594","https://openalex.org/W2172803778","https://openalex.org/W6603581568","https://openalex.org/W6664558118","https://openalex.org/W6665986713","https://openalex.org/W6675450563","https://openalex.org/W6675602974","https://openalex.org/W6680290455","https://openalex.org/W6682644385","https://openalex.org/W6683405310"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4381571012"],"abstract_inverted_index":{"Face":[0],"age":[1,31,76,88,108,119],"estimation":[2,32,89],"is":[3],"a":[4,29,103,113],"difficult":[5],"problem":[6],"due":[7],"to":[8,19,55,111],"the":[9,44,57,95],"dynamics":[10],"of":[11],"facial":[12],"aging":[13],"and":[14,21,70,83],"its":[15],"complex":[16],"interactions":[17],"owing":[18],"genetics":[20],"behavior":[22],"factors.":[23],"In":[24],"this":[25,100],"work":[26,101],"we":[27],"develop":[28],"robust":[30],"system":[33],"tuned":[34],"by":[35],"model":[36,51],"selection":[37,52,59],"that":[38,87],"outperforms":[39,94],"all":[40],"prior":[41],"systems":[42],"on":[43,81],"FG-NET":[45,84],"face":[46],"database.":[47],"We":[48],"study":[49],"various":[50],"methods":[53,60],"systematically":[54],"determine":[56],"best":[58],"among":[61],"Least":[62],"Angle":[63],"Regression":[64],"(LAR),":[65],"Principle":[66],"Component":[67],"Analysis":[68],"(PCA),":[69],"Locality":[71],"Preserving":[72],"Projections":[73],"(LPP)":[74],"for":[75,116,118],"estimation.":[77,120],"Our":[78],"performance":[79],"analysis":[80],"PAL":[82],"databases":[85],"suggest":[86],"with":[90],"LAR":[91],"or":[92],"LPP":[93,117],"full":[96],"feature":[97],"model.":[98],"Furthermore,":[99],"develops":[102],"novel":[104],"operator":[105],"named":[106],"\u201cgraph":[107],"preserving\u201d":[109],"(GAP)":[110],"build":[112],"neighborhood":[114],"graph":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}