{"id":"https://openalex.org/W2156696613","doi":"https://doi.org/10.1109/icme.2009.5202490","title":"Bayesian age estimation on face images","display_name":"Bayesian age estimation on face images","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2156696613","doi":"https://doi.org/10.1109/icme.2009.5202490","mag":"2156696613"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2009.5202490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","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/A5063441371","display_name":"Chung-Chun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Chun Wang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100897078","display_name":"Yi-Chueh Su","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chueh Su","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668500","display_name":"Chiou-Ting Hsu","orcid":"https://orcid.org/0000-0001-8857-2481"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chiou-Ting Hsu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108506868","display_name":"H.-Y.M. Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"H.Y. Mark Liao","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063441371"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.73889054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9934999942779541,"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/face","display_name":"Face (sociological concept)","score":0.7620358467102051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7260624766349792},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.673933744430542},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6583014726638794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6562181711196899},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6406382322311401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310766935348511},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.5711764097213745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5073217749595642},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.4486907124519348},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43488502502441406},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4110882580280304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3589690625667572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17639613151550293},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15169617533683777}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7620358467102051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260624766349792},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.673933744430542},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6583014726638794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6562181711196899},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6406382322311401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310766935348511},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.5711764097213745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5073217749595642},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.4486907124519348},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43488502502441406},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4110882580280304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3589690625667572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17639613151550293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15169617533683777},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/icme.2009.5202490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","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":16,"referenced_works":["https://openalex.org/W1598728332","https://openalex.org/W2020447345","https://openalex.org/W2039140324","https://openalex.org/W2104294146","https://openalex.org/W2106488920","https://openalex.org/W2116098839","https://openalex.org/W2137997339","https://openalex.org/W2147278565","https://openalex.org/W2159888472","https://openalex.org/W2163626514","https://openalex.org/W2164207440","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W6680698592","https://openalex.org/W6683405310","https://openalex.org/W6684387209"],"related_works":["https://openalex.org/W2056381839","https://openalex.org/W2009776842","https://openalex.org/W2352325302","https://openalex.org/W2114728125","https://openalex.org/W1935138604","https://openalex.org/W4220780651","https://openalex.org/W2350447072","https://openalex.org/W2353582415","https://openalex.org/W30733840","https://openalex.org/W2495884403"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"to":[3],"formulate":[4],"the":[5,28,47,56,63,76,83,88],"age":[6,49],"estimation":[7,14,50,64],"on":[8,23,55],"face":[9,24],"images":[10],"as":[11,33,35],"a":[12,20],"Bayesian":[13],"problem.":[15],"The":[16,69],"proposed":[17,84],"framework":[18],"incorporates":[19],"probabilistic":[21,77],"model":[22],"aging":[25,37],"distribution":[26],"into":[27,46],"formulation.":[29],"Individual-specific":[30],"prior":[31],"information":[32],"well":[34],"individual-specific":[36],"models,":[38],"if":[39],"available,":[40],"could":[41],"then":[42],"be":[43],"easily":[44],"included":[45],"unified":[48],"framework.":[51],"We":[52],"conduct":[53],"experiments":[54],"publicly":[57],"available":[58],"FG-NET":[59],"database":[60],"and":[61],"compare":[62],"results":[65,71],"with":[66],"existing":[67,89],"methods.":[68,90],"experimental":[70],"demonstrate":[72],"that,":[73],"by":[74],"combining":[75],"modeling":[78],"of":[79],"facial":[80],"feature":[81],"distribution,":[82],"method":[85],"indeed":[86],"outperforms":[87]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"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"}