{"id":"https://openalex.org/W1837304431","doi":"https://doi.org/10.3233/ida-2012-0528","title":"Support vector class description (SVCD): Classification in kernel space","display_name":"Support vector class description (SVCD): Classification in kernel space","publication_year":2012,"publication_date":"2012-05-04","ids":{"openalex":"https://openalex.org/W1837304431","doi":"https://doi.org/10.3233/ida-2012-0528","mag":"1837304431"},"language":"en","primary_location":{"id":"doi:10.3233/ida-2012-0528","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-0528","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-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/A5059650940","display_name":"Pilsung Kang","orcid":"https://orcid.org/0000-0001-7663-3937"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Pilsung Kang","raw_affiliation_strings":["IT Management Programme, International Fusion School, Seoul National University of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"IT Management Programme, International Fusion School, Seoul National University of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017305201","display_name":"Sungzoon Cho","orcid":"https://orcid.org/0000-0002-1695-1973"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungzoon Cho","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059650940"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69590991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"3","first_page":"351","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9782000184059143,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7214740514755249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6909058094024658},{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.6794710159301758},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6480149030685425},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.645301103591919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6366690397262573},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5824710726737976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.550143837928772},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.5325884819030762},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5185609459877014},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.4949445128440857},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46133363246917725},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4589494466781616},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.45503780245780945},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4202796220779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3523426055908203},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08624285459518433}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7214740514755249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6909058094024658},{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.6794710159301758},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6480149030685425},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.645301103591919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6366690397262573},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5824710726737976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.550143837928772},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.5325884819030762},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5185609459877014},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4949445128440857},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46133363246917725},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4589494466781616},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.45503780245780945},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4202796220779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3523426055908203},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08624285459518433}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-2012-0528","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-2012-0528","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1540007258","https://openalex.org/W1924661434","https://openalex.org/W1966846152","https://openalex.org/W1970088130","https://openalex.org/W1994432757","https://openalex.org/W2028825074","https://openalex.org/W2118467053","https://openalex.org/W2132890143","https://openalex.org/W2140475825","https://openalex.org/W2142704389","https://openalex.org/W2147280166","https://openalex.org/W2148856677","https://openalex.org/W2150796457","https://openalex.org/W2156909104","https://openalex.org/W2157693589","https://openalex.org/W2165447611","https://openalex.org/W2166787113","https://openalex.org/W2171292854","https://openalex.org/W2172295126"],"related_works":["https://openalex.org/W2145706125","https://openalex.org/W3168908900","https://openalex.org/W1988416745","https://openalex.org/W2379219300","https://openalex.org/W2077867740","https://openalex.org/W4312271657","https://openalex.org/W2348360338","https://openalex.org/W3033319502","https://openalex.org/W2360625556","https://openalex.org/W2135836407"],"abstract_inverted_index":{"We":[0],"proposed":[1],"a":[2],"kernel-based":[3],"binary":[4],"classification":[5],"algorithm,":[6],"named":[7],"support":[8,19],"vector":[9,20],"class":[10],"description":[11,22],"(SVCD),":[12],"which":[13],"is":[14],"an":[15],"extended":[16],"version":[17],"of":[18],"domain":[21],"(SVDD)":[23],"for":[24],"one-class":[25],"classification.":[26],"SVCD":[27],"constructs":[28],"two":[29],"compact":[30],"hyperspheres":[31]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
