{"id":"https://openalex.org/W2038555868","doi":"https://doi.org/10.1109/ijcnn.2007.4371433","title":"Support vector machine classifiers using RBF kernels with clustering-based centers and widths","display_name":"Support vector machine classifiers using RBF kernels with clustering-based centers and widths","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2038555868","doi":"https://doi.org/10.1109/ijcnn.2007.4371433","mag":"2038555868"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371433","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5007052738","display_name":"Daqi Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gao Daqi","raw_affiliation_strings":["Department of Computer Science, East China, University of Science and Technology, Shanghai, China","East China University of Science and Technology, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China, University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"East China University of Science and Technology, Shanghai","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040210900","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0003-3966-4691"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Tao","raw_affiliation_strings":["Department of Computer Science, East China University of Science and Technology, Shanghai, China","East China University of Science and Technology, Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"East China University of Science and Technology, Shanghai","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007052738"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.80436608,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.65849487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2971","last_page":"2976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9952999949455261,"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/T12676","display_name":"Machine Learning and ELM","score":0.9926999807357788,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8331317901611328},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6896461844444275},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6467500329017639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6209655404090881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981024503707886},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5421543717384338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5272994041442871},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.41250449419021606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3781222105026245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.186170756816864},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.060465991497039795}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8331317901611328},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6896461844444275},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6467500329017639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6209655404090881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981024503707886},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5421543717384338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5272994041442871},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.41250449419021606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3781222105026245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.186170756816864},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.060465991497039795}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371433","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W2009466980","https://openalex.org/W2021404082","https://openalex.org/W2028477731","https://openalex.org/W2055522016","https://openalex.org/W2084812512","https://openalex.org/W2096876657","https://openalex.org/W2102451151","https://openalex.org/W2106390255","https://openalex.org/W2121838964","https://openalex.org/W2125126592","https://openalex.org/W2126505609","https://openalex.org/W2136130862","https://openalex.org/W2137291015","https://openalex.org/W2138882494","https://openalex.org/W2145295623","https://openalex.org/W2146615496","https://openalex.org/W2147800946","https://openalex.org/W2154579312","https://openalex.org/W2165388595","https://openalex.org/W2166787113","https://openalex.org/W2170756173","https://openalex.org/W2172000360","https://openalex.org/W4230674625","https://openalex.org/W4247777826","https://openalex.org/W6641446668","https://openalex.org/W6671611538","https://openalex.org/W6680112165"],"related_works":["https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2129978300","https://openalex.org/W2150638158","https://openalex.org/W2121506664"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"support":[4,44],"vector":[5,45],"machines":[6],"(SVMs)":[7],"with":[8,30,48,86],"radial":[9],"basis":[10],"function":[11],"(RBF)":[12],"kernels":[13,84],"to":[14,58,75,95],"solve":[15],"the":[16,31,59,64,68,78,97,112,120,127,130,136],"large-scale":[17,23],"classification":[18],"problems.":[19],"We":[20],"decompose":[21],"a":[22,49,117],"learning":[24],"problem":[25],"into":[26],"multiple":[27],"two-class":[28],"problems":[29],"one-verse-all":[32],"decomposition":[33],"technique,":[34],"and":[35,53,81,111,129],"then":[36],"propose":[37],"an":[38],"adoptively":[39],"clustering":[40,51,65,79,121],"method.":[41],"An":[42],"initial":[43,69],"(SV)":[46],"coincides":[47],"certain":[50],"center,":[52],"its":[54],"width":[55],"is":[56,73,93],"equal":[57,74],"max":[60],"Euclid":[61],"distance":[62],"in":[63,109],"region.":[66],"Therefore,":[67],"number":[70],"of":[71,77,91,119],"SVs":[72,114],"that":[76,135],"centers,":[80],"different":[82,87],"RBF":[83],"are":[85,115,139],"widths.":[88],"The":[89,100,123],"optimization":[90,105],"SVMs":[92],"only":[94],"determine":[96],"Lagrange":[98],"multipliers.":[99],"resulting":[101],"kernel":[102],"space":[103],"for":[104,126],"becomes":[106],"relatively":[107],"lower":[108],"dimensionality,":[110],"final":[113],"from":[116],"part":[118],"centers.":[122],"experimental":[124],"results":[125],"letter":[128],"handwritten":[131],"digit":[132],"recognitions":[133],"show":[134],"proposed":[137],"methods":[138],"effective.":[140]},"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":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
