{"id":"https://openalex.org/W2163463863","doi":"https://doi.org/10.1109/tsmcb.2012.2212243","title":"An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning","display_name":"An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning","publication_year":2012,"publication_date":"2012-09-21","ids":{"openalex":"https://openalex.org/W2163463863","doi":"https://doi.org/10.1109/tsmcb.2012.2212243","mag":"2163463863","pmid":"https://pubmed.ncbi.nlm.nih.gov/23014757"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcb.2012.2212243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2212243","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089193327","display_name":"Jianping Yin","orcid":"https://orcid.org/0000-0002-5474-4764"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Yin","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409994","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-7240-3541"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4472,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.96521563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"43","issue":"2","first_page":"557","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.6871352791786194},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5793176889419556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511260986328125},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4989509582519531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46279099583625793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4409930109977722},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42452266812324524},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3659343123435974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34038540720939636}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.6871352791786194},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5793176889419556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511260986328125},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4989509582519531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46279099583625793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4409930109977722},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42452266812324524},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3659343123435974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34038540720939636}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tsmcb.2012.2212243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2212243","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:23014757","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23014757","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:ro.uow.edu.au:eispapers-2112","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers/1103","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part A","raw_type":"article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.448","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.escience.cn/system/download/67460/","raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/27515","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/27515","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W71452225","https://openalex.org/W98563929","https://openalex.org/W1480643256","https://openalex.org/W1560724230","https://openalex.org/W1571024744","https://openalex.org/W1815110991","https://openalex.org/W1914219707","https://openalex.org/W1915109052","https://openalex.org/W1944448017","https://openalex.org/W1970088130","https://openalex.org/W1973486624","https://openalex.org/W1984073246","https://openalex.org/W1984838032","https://openalex.org/W1995808738","https://openalex.org/W1999693420","https://openalex.org/W2031823405","https://openalex.org/W2063201828","https://openalex.org/W2104472920","https://openalex.org/W2106503792","https://openalex.org/W2108710077","https://openalex.org/W2109743529","https://openalex.org/W2113082015","https://openalex.org/W2113584252","https://openalex.org/W2116589987","https://openalex.org/W2117866949","https://openalex.org/W2119821739","https://openalex.org/W2120137102","https://openalex.org/W2121568632","https://openalex.org/W2127069950","https://openalex.org/W2128035438","https://openalex.org/W2129625650","https://openalex.org/W2143628522","https://openalex.org/W2145295623","https://openalex.org/W2150796457","https://openalex.org/W2153635508","https://openalex.org/W2154462399","https://openalex.org/W2155904486","https://openalex.org/W2156505030","https://openalex.org/W2158001550","https://openalex.org/W2161592627","https://openalex.org/W2162382899","https://openalex.org/W2164031334","https://openalex.org/W2164535072","https://openalex.org/W2165417234","https://openalex.org/W2166782149","https://openalex.org/W2168605133","https://openalex.org/W2171188027","https://openalex.org/W2171855237","https://openalex.org/W2285373897","https://openalex.org/W2339039393","https://openalex.org/W2538008885","https://openalex.org/W3144619878","https://openalex.org/W4239510810","https://openalex.org/W4285719527","https://openalex.org/W6602850616","https://openalex.org/W6604005260","https://openalex.org/W6633893416","https://openalex.org/W6638689799","https://openalex.org/W6640140148","https://openalex.org/W6640526699","https://openalex.org/W6641446668","https://openalex.org/W6677619952","https://openalex.org/W6677899840","https://openalex.org/W6679115558","https://openalex.org/W6679376003","https://openalex.org/W6682921674","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W6684339173","https://openalex.org/W6696082267","https://openalex.org/W6703622011","https://openalex.org/W7074671674"],"related_works":["https://openalex.org/W2725311638","https://openalex.org/W2123146423","https://openalex.org/W2091950550","https://openalex.org/W2570832236","https://openalex.org/W2144299089","https://openalex.org/W2133046540","https://openalex.org/W3092342941","https://openalex.org/W4388570703","https://openalex.org/W2155561932","https://openalex.org/W2055608878"],"abstract_inverted_index":{"Integrating":[0],"radius":[1,26,61,70,105,146,193],"information":[2],"has":[3],"been":[4],"demonstrated":[5],"by":[6,65,185,201],"recent":[7],"work":[8],"on":[9,122,211],"multiple":[10],"kernel":[11,20,51],"learning":[12,21,52],"(MKL)":[13],"as":[14,35],"a":[15],"promising":[16],"way":[17],"to":[18,55,62,85,91,99,133],"improve":[19,92],"performance.":[22],"Directly":[23],"integrating":[24],"the":[25,28,50,56,66,69,72,75,87,93,102,111,123,136,141,145,148,152,159,163,173,187,192,202,224,228],"of":[27,59,71,77,104,114,143,147,175,213,232],"minimum":[29],"enclosing":[30],"ball":[31],"(MEB)":[32],"into":[33,89],"MKL":[34,90,205],"it":[36],"is,":[37],"however,":[38],"not":[39],"only":[40],"incurs":[41],"significant":[42],"computational":[43],"overhead":[44],"but":[45],"also":[46],"possibly":[47],"adversely":[48],"affects":[49],"performance":[53],"due":[54],"notorious":[57],"sensitivity":[58],"this":[60,82],"outliers.":[63],"Inspired":[64],"relationship":[67],"between":[68],"MEB":[73,149],"and":[74,119,150,197,219,223,230],"trace":[76],"total":[78],"data":[79,221],"scattering":[80],"matrix,":[81],"paper":[83],"proposes":[84],"incorporate":[86],"latter":[88],"situation.":[94],"In":[95],"particular,":[96],"in":[97,172],"order":[98],"well":[100,226],"justify":[101],"incorporation":[103],"information,":[106],"we":[107],"strictly":[108],"comply":[109],"with":[110],"radius-margin":[112],"bound":[113],"support":[115],"vector":[116],"machines":[117],"(SVMs)":[118],"thus":[120],"focus":[121],"l2-norm":[124],"soft-margin":[125],"SVM":[126],"classifier.":[127],"Detailed":[128],"theoretical":[129],"analysis":[130],"is":[131,155],"conducted":[132,210],"show":[134],"how":[135,151],"proposed":[137,160],"approach":[138,161],"effectively":[139],"preserves":[140],"merits":[142],"incorporating":[144],"resulting":[153],"optimization":[154,189],"efficiently":[156],"solved.":[157],"Moreover,":[158],"achieves":[162],"following":[164],"advantages":[165],"over":[166],"its":[167],"counterparts:":[168],"1)":[169],"more":[170,182],"robust":[171],"presence":[174],"outliers":[176],"or":[177],"noisy":[178],"training":[179],"samples;":[180],"2)":[181],"computationally":[183],"efficient":[184],"avoiding":[186],"quadratic":[188],"for":[190],"computing":[191],"at":[194],"each":[195],"iteration;":[196],"3)":[198],"readily":[199],"solvable":[200],"existing":[203],"off-the-shelf":[204],"packages.":[206],"Comprehensive":[207],"experiments":[208],"are":[209],"University":[212],"California,":[214],"Irvine,":[215],"protein":[216],"subcellular":[217],"localization,":[218],"Caltech-101":[220],"sets,":[222],"results":[225],"demonstrate":[227],"effectiveness":[229],"efficiency":[231],"our":[233],"approach.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
