{"id":"https://openalex.org/W2294956574","doi":"https://doi.org/10.1109/icmew.2015.7169755","title":"Selecting discriminative CLBP patterns for age estimation","display_name":"Selecting discriminative CLBP patterns for age estimation","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2294956574","doi":"https://doi.org/10.1109/icmew.2015.7169755","mag":"2294956574"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2015.7169755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2015.7169755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","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/A5112048042","display_name":"Alessandro Torrisi","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessandro Torrisi","raw_affiliation_strings":["IPLAB, University of Catania"],"affiliations":[{"raw_affiliation_string":"IPLAB, University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087180022","display_name":"Giovanni Maria Farinella","orcid":"https://orcid.org/0000-0002-6034-0432"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Maria Farinella","raw_affiliation_strings":["IPLAB, University of Catania"],"affiliations":[{"raw_affiliation_string":"IPLAB, University of Catania","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045468852","display_name":"Giovanni Puglisi","orcid":"https://orcid.org/0000-0001-6222-9933"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Puglisi","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Cagliari"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Cagliari","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["IPLAB, University of Catania"],"affiliations":[{"raw_affiliation_string":"IPLAB, University of Catania","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112048042"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":1.399,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87270225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9865000247955322,"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/discriminative-model","display_name":"Discriminative model","score":0.8672751188278198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7153175473213196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.696893036365509},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6433268785476685},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5850256681442261},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5619842410087585},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5555694699287415},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5437567830085754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5267707109451294},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4820162057876587},{"id":"https://openalex.org/keywords/digital-signage","display_name":"Digital signage","score":0.4654823839664459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39135733246803284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1567198634147644}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8672751188278198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7153175473213196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.696893036365509},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6433268785476685},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5850256681442261},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5619842410087585},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5555694699287415},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5437567830085754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5267707109451294},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4820162057876587},{"id":"https://openalex.org/C2777766583","wikidata":"https://www.wikidata.org/wiki/Q756568","display_name":"Digital signage","level":2,"score":0.4654823839664459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39135733246803284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1567198634147644},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmew.2015.7169755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2015.7169755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unica.it:11584/134049","is_oa":false,"landing_page_url":"http://hdl.handle.net/11584/134049","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W33189562","https://openalex.org/W188904169","https://openalex.org/W1556392566","https://openalex.org/W1970611666","https://openalex.org/W2020021186","https://openalex.org/W2032454342","https://openalex.org/W2039140324","https://openalex.org/W2105026179","https://openalex.org/W2106488920","https://openalex.org/W2115394472","https://openalex.org/W2118664399","https://openalex.org/W2118755929","https://openalex.org/W2121939926","https://openalex.org/W2126587529","https://openalex.org/W2134113392","https://openalex.org/W2147141800","https://openalex.org/W2148681423","https://openalex.org/W2152826865","https://openalex.org/W2153635508","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2166472366","https://openalex.org/W3097096317","https://openalex.org/W6677404274","https://openalex.org/W6678955546","https://openalex.org/W6681839830"],"related_works":["https://openalex.org/W2314525166","https://openalex.org/W1556510983","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2908429148","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W177559502","https://openalex.org/W2089659846"],"abstract_inverted_index":{"Face":[0,38],"analysis":[1],"is":[2,32],"of":[3,9,16,29,111],"great":[4],"interest":[5],"in":[6,65,109],"the":[7,20,27,52,62,73,82,96,100],"context":[8],"digital":[10],"signage":[11],"to":[12,60,80,87],"understand":[13],"soft":[14],"biometric":[15],"a":[17,25,30,78],"person.":[18],"Among":[19],"others":[21],"information":[22],"gathered":[23],"from":[24],"face,":[26],"age":[28,47,91,101],"person":[31],"still":[33],"an":[34,41],"open":[35],"challenging":[36],"problem.":[37],"representation":[39],"takes":[40],"important":[42],"role":[43],"for":[44,90],"real":[45],"time":[46],"discrimination.":[48],"LBP":[49],"descriptor":[50],"and":[51,113],"related":[53],"variants":[54],"(e.g.,":[55],"CLBP)":[56],"have":[57],"been":[58],"demonstrated":[59],"obtain":[61],"state-of-the-art":[63],"performances":[64],"this":[66,69],"field.":[67],"In":[68],"paper,":[70],"building":[71],"on":[72],"CLBP":[74,85],"representation,":[75],"we":[76],"propose":[77],"method":[79,98],"select":[81],"most":[83],"discriminative":[84],"patterns":[86],"represent":[88],"faces":[89],"classification.":[92],"Experiments":[93],"confirm":[94],"that":[95],"proposed":[97],"improves":[99],"classification":[102],"accuracy":[103],"by":[104],"reducing":[105],"computational":[106],"costs":[107],"both":[108],"terms":[110],"space":[112],"time.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}