{"id":"https://openalex.org/W2075242091","doi":"https://doi.org/10.1145/1991996.1992034","title":"Person-specific age estimation under ranking framework","display_name":"Person-specific age estimation under ranking framework","publication_year":2011,"publication_date":"2011-04-18","ids":{"openalex":"https://openalex.org/W2075242091","doi":"https://doi.org/10.1145/1991996.1992034","mag":"2075242091"},"language":"en","primary_location":{"id":"doi:10.1145/1991996.1992034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","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/A5002618865","display_name":"Yong Ma","orcid":"https://orcid.org/0000-0002-1116-0662"},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Ma","raw_affiliation_strings":["Nokia Research Center Beijing, China"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center Beijing, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439585","display_name":"Tao Xiong","orcid":"https://orcid.org/0000-0003-1583-8669"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xiong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009652089","display_name":"Yanming Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Zou","raw_affiliation_strings":["Nokia Research Center Beijing, China"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center Beijing, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012311011","display_name":"Kongqiao Wang","orcid":"https://orcid.org/0000-0002-2214-5062"},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kongqiao Wang","raw_affiliation_strings":["Nokia Research Center Beijing, China"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center Beijing, China","institution_ids":["https://openalex.org/I4210099903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002618865"],"corresponding_institution_ids":["https://openalex.org/I4210099903"],"apc_list":null,"apc_paid":null,"fwci":2.5757,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91520782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9948999881744385,"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":0.9887999892234802,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7912853956222534},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7513338327407837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312121152877808},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6010695695877075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5864478945732117},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.573847234249115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5687554478645325},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5642375349998474},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5441445708274841},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5088244080543518},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48089125752449036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43429329991340637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3459427058696747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3319292366504669},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28227755427360535}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7912853956222534},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7513338327407837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312121152877808},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6010695695877075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5864478945732117},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.573847234249115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5687554478645325},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5642375349998474},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5441445708274841},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5088244080543518},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48089125752449036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43429329991340637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3459427058696747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3319292366504669},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28227755427360535},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1991996.1992034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","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":23,"referenced_works":["https://openalex.org/W1552767446","https://openalex.org/W1554944419","https://openalex.org/W1712881228","https://openalex.org/W2032454342","https://openalex.org/W2033419168","https://openalex.org/W2039140324","https://openalex.org/W2047221353","https://openalex.org/W2071643468","https://openalex.org/W2097433204","https://openalex.org/W2121939926","https://openalex.org/W2123921160","https://openalex.org/W2143016024","https://openalex.org/W2147278565","https://openalex.org/W2148491550","https://openalex.org/W2152433273","https://openalex.org/W2156909104","https://openalex.org/W2163626514","https://openalex.org/W2165731615","https://openalex.org/W2988119488","https://openalex.org/W3097096317","https://openalex.org/W4234552385","https://openalex.org/W4236965008","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2293317945","https://openalex.org/W2952746528","https://openalex.org/W2897995864","https://openalex.org/W4317663702","https://openalex.org/W2136485282","https://openalex.org/W2347601237","https://openalex.org/W4200625923","https://openalex.org/W4318960487","https://openalex.org/W2353697322","https://openalex.org/W2034972911"],"abstract_inverted_index":{"Different":[0],"from":[1,43],"traditional":[2],"age":[3,17,49,114,127,143,149],"estimation":[4,18,47],"methods":[5],"under":[6,20],"classification":[7],"or":[8,145],"regression":[9],"frameworks,":[10],"this":[11,44,102],"paper":[12],"proposes":[13],"a":[14,33],"novel":[15],"person-specific":[16,87],"method":[19,131],"ranking":[21,79],"framework.":[22],"The":[23,46,129],"basic":[24],"idea":[25],"is":[26,55],"to":[27,62,72,97],"consider":[28],"the":[29,40,64,73,78,82,94,111,113,125,137,152,156,159],"aging":[30],"process":[31],"as":[32,141,146],"personal":[34],"age-ranked":[35],"image":[36,54,88],"sequences":[37],"and":[38,92,151],"extract":[39],"relevant":[41],"information":[42],"sequences.":[45],"of":[48,81,116,118,158],"for":[50],"an":[51,142,147],"unknown":[52],"face":[53,60],"determined":[56],"by":[57],"first":[58],"utilizing":[59],"recognition":[61],"find":[63],"persons":[65],"in":[66,85,136],"template":[67],"sets":[68],"who":[69],"looks":[70],"similar":[71],"unseen":[74,83],"person,":[75],"then":[76],"estimating":[77],"order":[80,96],"person":[84],"corresponding":[86],"sequences,":[89],"lastly":[90],"mapping":[91],"fusing":[93],"rank":[95],"its":[98],"real":[99,126],"age.":[100],"Under":[101],"framework,":[103],"our":[104],"proposed":[105,130],"system":[106],"not":[107],"only":[108],"can":[109,123],"estimate":[110,124],"correct":[112],"orders":[115],"pairs":[117],"faces":[119],"naturally":[120],"but":[121],"also":[122,154],"accurately.":[128],"has":[132],"shown":[133],"encouraging":[134],"performance":[135],"comparative":[138],"experiments":[139],"either":[140],"ranker":[144],"accurate":[148],"estimator":[150],"experiment":[153],"proved":[155],"validity":[157],"above":[160],"assumption.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
