{"id":"https://openalex.org/W2951783731","doi":"https://doi.org/10.3233/jifs-181347","title":"Kernel Analysis based on SVDD for Face Recognition from Image Set","display_name":"Kernel Analysis based on SVDD for Face Recognition from Image Set","publication_year":2019,"publication_date":"2019-06-11","ids":{"openalex":"https://openalex.org/W2951783731","doi":"https://doi.org/10.3233/jifs-181347","mag":"2951783731"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-181347","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181347","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent &amp; Fuzzy Systems","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/A5002419304","display_name":"Qingsong Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Song Zeng","raw_affiliation_strings":["School of Information and Technology, Guangzhou Panyu Polytechnic, Guangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Guangzhou Panyu Polytechnic, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I4210104080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588489","display_name":"Xiaoyu Huang","orcid":"https://orcid.org/0000-0002-6696-4203"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Yu Huang","raw_affiliation_strings":["School of Economics and Commerce, South China University of Technology, Guangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Commerce, South China University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104043660","display_name":"Xianhong Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210128921","display_name":"The First Affiliated Hospital, Sun Yat-sen University","ror":"https://ror.org/037p24858","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Hong Xiang","raw_affiliation_strings":["Department of Interventional Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Interventional Radiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I4210128921","https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046804135","display_name":"Junhui He","orcid":"https://orcid.org/0000-0002-1689-0509"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui He","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101588489"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52520606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":"6","first_page":"5499","last_page":"5511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9944999814033508,"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/T13579","display_name":"Image and Video Stabilization","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7110401391983032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6461323499679565},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.635535478591919},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6209484934806824},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5688186287879944},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5639439225196838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5431827306747437},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5395073294639587},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5162996649742126},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.47243982553482056},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4684933125972748},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4520622491836548},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.4372609257698059},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.43060535192489624},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4252944886684418},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.41430675983428955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3259943723678589}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7110401391983032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6461323499679565},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.635535478591919},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6209484934806824},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5688186287879944},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5639439225196838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5431827306747437},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5395073294639587},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5162996649742126},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.47243982553482056},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4684933125972748},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4520622491836548},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.4372609257698059},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43060535192489624},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4252944886684418},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.41430675983428955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3259943723678589},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-181347","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-181347","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1513945850","https://openalex.org/W1820849028","https://openalex.org/W1943383135","https://openalex.org/W1964470356","https://openalex.org/W1985687851","https://openalex.org/W1986964250","https://openalex.org/W1994855553","https://openalex.org/W1996939238","https://openalex.org/W2042576467","https://openalex.org/W2066986622","https://openalex.org/W2090968017","https://openalex.org/W2100294832","https://openalex.org/W2110599581","https://openalex.org/W2115933183","https://openalex.org/W2118216287","https://openalex.org/W2129395028","https://openalex.org/W2141830256","https://openalex.org/W2144093206","https://openalex.org/W2149652297","https://openalex.org/W2150600350","https://openalex.org/W2157920973","https://openalex.org/W2163808566","https://openalex.org/W2561178549","https://openalex.org/W3097096317","https://openalex.org/W3148981562","https://openalex.org/W6630630962","https://openalex.org/W6640188369","https://openalex.org/W6649723909","https://openalex.org/W6677557080","https://openalex.org/W7056931592"],"related_works":["https://openalex.org/W2610521515","https://openalex.org/W2515338903","https://openalex.org/W1509134351","https://openalex.org/W3033319502","https://openalex.org/W2905418897","https://openalex.org/W2015311866","https://openalex.org/W2043888321","https://openalex.org/W2108995755","https://openalex.org/W2068526999","https://openalex.org/W2114252311"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,35,42,55,69,73,77,85,97,100],"problem":[4],"of":[5,68],"Face":[6],"Recognition":[7],"based":[8],"on":[9,121,133],"Image":[10],"Set":[11],"(FRIS)":[12],"by":[13],"kernel":[14,20,94],"learning":[15],"and":[16,45,72,135],"proposed":[17,117,141],"an":[18,31,81],"extended":[19],"discriminant":[21],"analysis":[22],"framework":[23],"for":[24,84],"FRIS.":[25],"By":[26,79],"support":[27],"vector":[28],"machine":[29],"learning,":[30],"image":[32],"set":[33],"from":[34,99],"original":[36],"input":[37],"space":[38,44,102],"is":[39,119],"mapped":[40,70],"into":[41],"model":[43,62,89,101],"described":[46],"with":[47,126],"Support":[48],"Vector":[49],"Domain":[50],"Description":[51],"(SVDD)":[52],"to":[53,103,108],"handle":[54],"underlying":[56],"non-linearity":[57],"in":[58,88],"data":[59,86,98],"space.":[60],"In":[61],"space,":[63,90,107],"a":[64,93,104],"hyper-sphere":[65],"encloses":[66],"most":[67],"data,":[71],"outliers":[74],"lie":[75],"outside":[76],"hyper-sphere.":[78],"exploring":[80],"efficient":[82],"metric":[83],"domains":[87],"we":[91],"derive":[92],"function":[95],"maps":[96],"high-dimensional":[105],"feature":[106],"which":[109],"many":[110],"Euclidean":[111],"algorithms":[112],"can":[113],"be":[114],"generalized.":[115],"The":[116,140],"method":[118],"evaluated":[120],"face":[122],"recognition":[123],"tasks.":[124],"Comparisons":[125],"several":[127],"state-of-the-art":[128],"FRIS":[129],"methods":[130,142],"are":[131],"performed":[132],"ChokePoint":[134],"CMU":[136],"MoBo":[137],"video":[138],"database.":[139],"have":[143],"demonstrated":[144],"promising":[145],"performance.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2025-10-10T00:00:00"}
