{"id":"https://openalex.org/W2159436955","doi":"https://doi.org/10.1109/iccv.2009.5459371","title":"RankBoost with l1 regularization for facial expression recognition and intensity estimation","display_name":"RankBoost with l1 regularization for facial expression recognition and intensity estimation","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2159436955","doi":"https://doi.org/10.1109/iccv.2009.5459371","mag":"2159436955"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5101923893","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0003-1578-658X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Yang","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qingshan Liu","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA","National Laboratory of Pattern Recognition, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris N. Metaxas","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101923893"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":6.1478,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.96819353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1018","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/facial-expression","display_name":"Facial expression","score":0.8217143416404724},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7603265047073364},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7429362535476685},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.675194501876831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532859206199646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6353410482406616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5952357053756714},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4770642817020416},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4214455485343933}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.8217143416404724},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7603265047073364},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7429362535476685},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.675194501876831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532859206199646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353410482406616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5952357053756714},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4770642817020416},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4214455485343933},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2009.5459371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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":41,"referenced_works":["https://openalex.org/W1492041649","https://openalex.org/W1504623196","https://openalex.org/W1552767446","https://openalex.org/W1588539311","https://openalex.org/W1595126664","https://openalex.org/W1957723580","https://openalex.org/W1982442821","https://openalex.org/W2004915807","https://openalex.org/W2016859189","https://openalex.org/W2035161948","https://openalex.org/W2044798275","https://openalex.org/W2097760752","https://openalex.org/W2108385997","https://openalex.org/W2114171253","https://openalex.org/W2125127226","https://openalex.org/W2127986803","https://openalex.org/W2137883513","https://openalex.org/W2139916508","https://openalex.org/W2140001879","https://openalex.org/W2143245774","https://openalex.org/W2144994347","https://openalex.org/W2146682940","https://openalex.org/W2154334393","https://openalex.org/W2154716422","https://openalex.org/W2157908694","https://openalex.org/W2159017231","https://openalex.org/W2165283290","https://openalex.org/W2167015621","https://openalex.org/W2543269883","https://openalex.org/W2545697062","https://openalex.org/W3097096317","https://openalex.org/W3141774725","https://openalex.org/W3150422825","https://openalex.org/W4285719527","https://openalex.org/W6632992187","https://openalex.org/W6640709122","https://openalex.org/W6654433423","https://openalex.org/W6677133630","https://openalex.org/W6680968271","https://openalex.org/W6680969911","https://openalex.org/W6684580761"],"related_works":["https://openalex.org/W2355913164","https://openalex.org/W4205986151","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W2169777806","https://openalex.org/W3027190010","https://openalex.org/W2162992774","https://openalex.org/W3045605430"],"abstract_inverted_index":{"Most":[0],"previous":[1,30],"facial":[2,20,37,47],"expression":[3,9,21,38,64,119],"analysis":[4,22],"works":[5],"only":[6,34],"focused":[7],"on":[8,24,80,140],"recognition.":[10,120],"In":[11],"this":[12,81],"paper,":[13],"we":[14,83,112,126],"propose":[15,127],"a":[16,75,91,150],"novel":[17],"framework":[18],"of":[19,46,87],"based":[23,134],"the":[25,44,67,85,98,115,124,137,141,146,155],"ranking":[26,92,102,116],"model.":[27],"Different":[28],"from":[29],"works,":[31],"it":[32,59],"not":[33],"can":[35,42,104],"do":[36],"recognition,":[39],"but":[40],"also":[41,113],"estimate":[43],"intensity":[45,65,88,109],"expression,":[48],"which":[49,94],"is":[50,60,73,95],"very":[51],"important":[52],"to":[53,62,90,128,154],"further":[54,122],"understand":[55],"human":[56],"emotion.":[57],"Although":[58],"hard":[61],"label":[63],"quantitatively,":[66],"ordinal":[68],"relationship":[69],"in":[70],"temporal":[71],"domain":[72],"actually":[74],"good":[76],"relative":[77],"measurement.":[78],"Based":[79],"observation,":[82],"convert":[84],"problem":[86],"estimation":[89],"problem,":[93],"modeled":[96],"by":[97],"RankBoost.":[99],"The":[100],"output":[101],"score":[103],"be":[105],"directly":[106],"used":[107],"for":[108,118],"estimation,":[110],"and":[111],"extend":[114],"function":[117],"To":[121],"improve":[123],"performance,":[125],"introduce":[129],"l":[130],"<sub":[131],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[133],"regularization":[135],"into":[136],"Rankboost.":[138],"Experiments":[139],"Cohn-Kanade":[142],"database":[143],"show":[144],"that":[145],"proposed":[147],"method":[148],"has":[149],"promising":[151],"performance":[152],"compared":[153],"state-of-the-art.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}