{"id":"https://openalex.org/W1910663139","doi":"https://doi.org/10.1109/icassp.2003.1202483","title":"Multi-class support vector machines: a new approach","display_name":"Multi-class support vector machines: a new approach","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W1910663139","doi":"https://doi.org/10.1109/icassp.2003.1202483","mag":"1910663139"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1202483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},"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/A5046086664","display_name":"Jer\u00f3nimo Arenas\u2010Garc\u00eda","orcid":"https://orcid.org/0000-0003-4071-7068"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Arenas-Garcia","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Madrid, Spain","Dept. of Signal Theor. & Commun., Univ. Carlos III, Madrid, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Dept. of Signal Theor. & Commun., Univ. Carlos III, Madrid, Spain#TAB#","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088555568","display_name":"Fernando P\u00e9rez\u2010Cruz","orcid":"https://orcid.org/0000-0001-8996-5076"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Perez-Cruz","raw_affiliation_strings":["Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Madrid, Spain","Dept. of Signal Theor. & Commun., Univ. Carlos III, Madrid, Spain#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Dept. of Signal Theor. & Commun., Univ. Carlos III, Madrid, Spain#TAB#","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8532721400260925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869107723236084},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6241700649261475},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5587514638900757},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5370990037918091},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.505495548248291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034999251365662},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.49918627738952637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.496390163898468},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4665379822254181},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.44088321924209595},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4132639169692993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33365291357040405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12665429711341858}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8532721400260925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869107723236084},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6241700649261475},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5587514638900757},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5370990037918091},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.505495548248291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034999251365662},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.49918627738952637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.496390163898468},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4665379822254181},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.44088321924209595},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4132639169692993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33365291357040405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12665429711341858},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2003.1202483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202483","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.516.8751","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.516.8751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.yorku.ca/course_archive/2005-06/F/6002B/Readings/icassp03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W1588401315","https://openalex.org/W2055522016","https://openalex.org/W2100366146","https://openalex.org/W2148603752","https://openalex.org/W2172000360","https://openalex.org/W2282078507","https://openalex.org/W4285719527","https://openalex.org/W6634339819","https://openalex.org/W6635310694"],"related_works":["https://openalex.org/W2565312173","https://openalex.org/W2010005619","https://openalex.org/W2104936869","https://openalex.org/W2122277321","https://openalex.org/W2206547991","https://openalex.org/W2143867687","https://openalex.org/W3144681993","https://openalex.org/W1948992892","https://openalex.org/W2039745824","https://openalex.org/W2186666570"],"abstract_inverted_index":{"We":[0,13],"propose":[1],"a":[2,46],"new":[3],"approach":[4,41],"for":[5,36,60],"solving":[6],"multiclass":[7],"problems":[8],"with":[9,45],"support":[10,53],"vector":[11],"machines.":[12],"modify":[14],"the":[15,21,32,50],"existing":[16],"technique":[17],"to":[18,30],"properly":[19],"reduce":[20],"empirical":[22],"error,":[23],"therefore":[24],"we":[25],"will":[26],"be":[27],"ideally":[28],"able":[29],"outperform":[31],"previously":[33],"proposed":[34,40],"scheme":[35],"multi-class":[37],"SVMs.":[38],"The":[39],"also":[42],"provides":[43],"solutions":[44],"significant":[47],"reduction":[48],"in":[49],"number":[51],"of":[52],"vectors,":[54],"which":[55],"is":[56],"an":[57],"important":[58],"feature":[59],"fast":[61],"systems.":[62]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
