{"id":"https://openalex.org/W1993023320","doi":"https://doi.org/10.1145/2499788.2499858","title":"Facial expression recognition based on Hessian regularized support vector machine","display_name":"Facial expression recognition based on Hessian regularized support vector machine","publication_year":2013,"publication_date":"2013-08-17","ids":{"openalex":"https://openalex.org/W1993023320","doi":"https://doi.org/10.1145/2499788.2499858","mag":"1993023320"},"language":"en","primary_location":{"id":"doi:10.1145/2499788.2499858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","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/A5002125310","display_name":"Caifeng Song","orcid":"https://orcid.org/0000-0003-4942-8983"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caifeng Song","raw_affiliation_strings":["China University of Petroleum (East China), Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China), Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444156","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0002-5388-9080"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["China University of Petroleum (East China), Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China), Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101722534","display_name":"Yanjiang Wang","orcid":"https://orcid.org/0000-0001-9910-7884"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiang Wang","raw_affiliation_strings":["China University of Petroleum (East China), Qingdao, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum (East China), Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.6156,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69235832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9865000247955322,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9858999848365784,"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/support-vector-machine","display_name":"Support vector machine","score":0.7293654680252075},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.7280258536338806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623156726360321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683643221855164},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5397312641143799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5258517861366272},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4421800971031189},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.41343945264816284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3452553153038025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26063311100006104},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.13190346956253052}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7293654680252075},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.7280258536338806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623156726360321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683643221855164},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5397312641143799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258517861366272},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4421800971031189},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.41343945264816284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3452553153038025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26063311100006104},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.13190346956253052},{"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:10.1145/2499788.2499858","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6336494336","display_name":null,"funder_award_id":"ZR2011FQ016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6817501534","display_name":"\u89c6\u89c9\u6ce8\u610f\u4e0e\u4eba\u8111\u8bb0\u5fc6\u673a\u5236\u542f\u53d1\u4e0b\u7684\u611f\u5174\u8da3\u76ee\u6807\u63d0\u53d6\u4e0e\u8ddf\u8e2a","funder_award_id":"61271407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1664825283","https://openalex.org/W1972084483","https://openalex.org/W1984907405","https://openalex.org/W2007940985","https://openalex.org/W2018184190","https://openalex.org/W2024082504","https://openalex.org/W2031049553","https://openalex.org/W2048997552","https://openalex.org/W2064303729","https://openalex.org/W2068078373","https://openalex.org/W2075880488","https://openalex.org/W2095609079","https://openalex.org/W2104290444","https://openalex.org/W2106115875","https://openalex.org/W2110329341","https://openalex.org/W2112737239","https://openalex.org/W2117513046","https://openalex.org/W2117898853","https://openalex.org/W2120865781","https://openalex.org/W2126565853","https://openalex.org/W2138516811","https://openalex.org/W2154624311","https://openalex.org/W2155151262","https://openalex.org/W2156571432","https://openalex.org/W2156838815","https://openalex.org/W2162854380","https://openalex.org/W3006305366","https://openalex.org/W3098527277","https://openalex.org/W4229749918"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W2642127892"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1],"(SSL)":[2],"has":[3],"achieved":[4],"attractive":[5],"performance":[6],"in":[7],"many":[8],"pattern":[9],"recognition":[10,18,98],"areas":[11],"including":[12],"image":[13],"annotation,":[14],"object":[15],"recognition,":[16],"face":[17],"and":[19,118],"facial":[20,96],"expression":[21,97],"recognition.":[22],"The":[23,107],"state":[24],"of":[25,48,65],"the":[26,36,46,55,59,63,77,82],"art":[27],"SSL":[28],"algorithm":[29],"is":[30],"Laplacian":[31],"regularization":[32,72],"(LR)":[33],"which":[34,51],"determined":[35],"underlying":[37],"manifold":[38],"using":[39],"graph":[40],"Laplacian.":[41],"However,":[42],"LR":[43,119],"suffers":[44],"from":[45],"lack":[47],"extrapolating":[49],"power":[50],"will":[52],"be":[53],"towards":[54],"constant":[56],"function":[57,78],"for":[58,95],"data":[60],"points":[61],"beyond":[62],"boundary":[64],"domain.":[66],"In":[67,84],"contrast":[68],"to":[69],"LR,":[70],"Hessian":[71,89],"(HR)":[73],"can":[74],"well":[75],"steer":[76],"varying":[79],"smoothly":[80],"along":[81],"manifold.":[83],"this":[85],"paper,":[86],"we":[87],"present":[88],"regularized":[90],"support":[91],"vector":[92],"machine":[93],"(SVM)":[94],"(FER).":[99],"We":[100],"carefully":[101],"conduct":[102],"experiments":[103],"on":[104],"JAFFE":[105],"dataset.":[106],"experimental":[108],"results":[109],"show":[110],"that":[111],"HR":[112],"based":[113],"SVM":[114,117,121],"(HesSVM)":[115],"outperforms":[116],"base":[120],"(LapSVM).":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}