{"id":"https://openalex.org/W1491036874","doi":"https://doi.org/10.1007/978-3-642-15558-1_47","title":"Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction","display_name":"Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1491036874","doi":"https://doi.org/10.1007/978-3-642-15558-1_47","mag":"1491036874"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15558-1_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15558-1_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5100670939","display_name":"Minyoung Kim","orcid":"https://orcid.org/0000-0001-9010-6789"},"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":"Minyoung Kim","raw_affiliation_strings":["Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ, 08854-8019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ, 08854-8019, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020368096","display_name":"Vladimir Pavlovi\u0107","orcid":"https://orcid.org/0000-0003-3979-1236"},"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":"Vladimir Pavlovic","raw_affiliation_strings":["Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ, 08854-8019, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway, NJ, 08854-8019, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.7194,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.91948245,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"649","last_page":"662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7516041398048401},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.705375075340271},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.6624858379364014},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.580913782119751},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.5694839358329773},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.538549542427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5046619176864624},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47159847617149353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45449841022491455},{"id":"https://openalex.org/keywords/ordinal-scale","display_name":"Ordinal Scale","score":0.446109414100647},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.41525566577911377},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.37773746252059937},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22275397181510925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21174994111061096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7516041398048401},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.705375075340271},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.6624858379364014},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.580913782119751},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5694839358329773},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.538549542427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5046619176864624},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47159847617149353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45449841022491455},{"id":"https://openalex.org/C2909711754","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal Scale","level":2,"score":0.446109414100647},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.41525566577911377},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.37773746252059937},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22275397181510925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21174994111061096},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-15558-1_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15558-1_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W1549656520","https://openalex.org/W1964803612","https://openalex.org/W2016859189","https://openalex.org/W2023508744","https://openalex.org/W2044798275","https://openalex.org/W2097092269","https://openalex.org/W2105664460","https://openalex.org/W2109189215","https://openalex.org/W2110248009","https://openalex.org/W2110935301","https://openalex.org/W2117297477","https://openalex.org/W2124105163","https://openalex.org/W2142575165","https://openalex.org/W2143245774","https://openalex.org/W2145012698","https://openalex.org/W2147880316","https://openalex.org/W2153110463","https://openalex.org/W2154716422","https://openalex.org/W2157791002","https://openalex.org/W2159436955","https://openalex.org/W2159973364","https://openalex.org/W2540289081","https://openalex.org/W2988119488","https://openalex.org/W3097096317","https://openalex.org/W4237969349"],"related_works":["https://openalex.org/W141250983","https://openalex.org/W3021328243","https://openalex.org/W2051517726","https://openalex.org/W2023060082","https://openalex.org/W2093964375","https://openalex.org/W2166716405","https://openalex.org/W66181126","https://openalex.org/W3092459516","https://openalex.org/W2744942261","https://openalex.org/W4236508908"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}