{"id":"https://openalex.org/W1979677438","doi":"https://doi.org/10.1109/ispa.2013.6703728","title":"Combining regression and classification methods for age band estimation from human faces","display_name":"Combining regression and classification methods for age band estimation from human faces","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1979677438","doi":"https://doi.org/10.1109/ispa.2013.6703728","mag":"1979677438"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2013.6703728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5055269634","display_name":"Yannick Lufimpu-Luviya","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lufimpu-Luviya Yannick","raw_affiliation_strings":["LSIS-UMR, CNRS 7296, Marseille, France","LSIS, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIS-UMR, CNRS 7296, Marseille, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIS, Marseille, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012076785","display_name":"S\u00e9bastien Paris","orcid":"https://orcid.org/0000-0001-8104-0431"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paris Sebastien","raw_affiliation_strings":["LSIS-UMR, CNRS 7296, Marseille, France","LSIS, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIS-UMR, CNRS 7296, Marseille, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIS, Marseille, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032517482","display_name":"Merad Djamel","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Merad Djamel","raw_affiliation_strings":["LSIS-UMR, CNRS 7296, Marseille, France","LSIS, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIS-UMR, CNRS 7296, Marseille, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIS, Marseille, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090595975","display_name":"Bernard Fertil","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fertil Bernard","raw_affiliation_strings":["LSIS-UMR, CNRS 7296, Marseille, France","LSIS, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LSIS-UMR, CNRS 7296, Marseille, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"LSIS, Marseille, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57521558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"136","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9790999889373779,"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":0.964900016784668,"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/support-vector-machine","display_name":"Support vector machine","score":0.7365593910217285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810706853866577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6212882399559021},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6015051007270813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5616041421890259},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.537475049495697},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5006313323974609},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4975188076496124},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.4904193580150604},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47175484895706177},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.4321151077747345},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.42638760805130005},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42195233702659607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42036348581314087},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3962036967277527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2924346923828125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24982470273971558},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.14326560497283936}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7365593910217285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810706853866577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212882399559021},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6015051007270813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616041421890259},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.537475049495697},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5006313323974609},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4975188076496124},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4904193580150604},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47175484895706177},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.4321151077747345},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.42638760805130005},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42195233702659607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42036348581314087},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3962036967277527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2924346923828125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24982470273971558},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.14326560497283936},{"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/ispa.2013.6703728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/W387128004","https://openalex.org/W1646122800","https://openalex.org/W2013281126","https://openalex.org/W2030098377","https://openalex.org/W2030165613","https://openalex.org/W2038952578","https://openalex.org/W2039140324","https://openalex.org/W2061759159","https://openalex.org/W2109943925","https://openalex.org/W2118755929","https://openalex.org/W2120509725","https://openalex.org/W2121939926","https://openalex.org/W2134113392","https://openalex.org/W2138173495","https://openalex.org/W2139150520","https://openalex.org/W2140196710","https://openalex.org/W2145073242","https://openalex.org/W2147278565","https://openalex.org/W2159160074","https://openalex.org/W2163352848","https://openalex.org/W2164715565","https://openalex.org/W2167793923","https://openalex.org/W2328737873","https://openalex.org/W2403746960","https://openalex.org/W2412108633","https://openalex.org/W2537685535","https://openalex.org/W2797148637","https://openalex.org/W4301347335","https://openalex.org/W6681651645","https://openalex.org/W6715064899"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2955952267","https://openalex.org/W2058306460","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2168886923","https://openalex.org/W2049095871","https://openalex.org/W2148428954"],"abstract_inverted_index":{"This":[0],"work":[1],"is":[2,36,53,79,96],"made":[3],"under":[4],"a":[5,17,20,82,125,134],"behavioral":[6],"marketing":[7],"project,":[8],"and":[9,26,45,67,91,93,118,139,153],"aims":[10],"at":[11],"identify":[12],"the":[13,48,51,56,60,74,77,105,109,119,144,147,150,154],"age":[14,57,61],"band":[15],"of":[16,29,31,87,146],"person":[18],"from":[19],"2D":[21],"image":[22],"face.":[23],"A":[24,85],"Multi-Scale":[25],"Multilevel":[27],"Histogram":[28],"Blocks":[30],"Local":[32],"Binary":[33],"Patterns":[34],"(MMHLBP)":[35],"used":[37],"as":[38,81],"texture":[39],"descriptor.":[40],"Three":[41],"approaches":[42],"are":[43,71,122],"performed":[44],"compared.":[46],"In":[47,73],"first":[49,106],"approach,":[50,76,127],"goal":[52],"to":[54,130],"predict":[55],"before":[58],"getting":[59],"band.":[62],"Partial":[63],"Least":[64],"Squares":[65],"Regression":[66,70,94],"Support":[68,88],"Vector":[69,89],"implemented.":[72],"second":[75,102,110],"problem":[78],"solved":[80],"classification":[83,120,155],"problem.":[84],"combination":[86,148],"Machine":[90],"Classification":[92],"Tree":[95],"performed.":[97],"The":[98,115],"results":[99],"show":[100],"that":[101],"approach":[103,111,152],"overcomes":[104],"approach;":[107],"but":[108],"generates":[112],"extreme":[113],"confusions.":[114],"regression":[116,151],"method":[117,121],"combined":[123],"in":[124],"third":[126],"which":[128],"leads":[129],"better":[131],"results.":[132],"Eventually,":[133],"comparison":[135],"between":[136,149],"human":[137],"operator":[138],"our":[140],"final":[141],"model":[142],"shows":[143],"relevancy":[145],"approach.":[156]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
