{"id":"https://openalex.org/W2609937661","doi":"https://doi.org/10.1109/icpr.2016.7899686","title":"Multiple kernel learning using data envelopment analysis and feature vector selection and projection","display_name":"Multiple kernel learning using data envelopment analysis and feature vector selection and projection","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609937661","doi":"https://doi.org/10.1109/icpr.2016.7899686","mag":"2609937661"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5061435205","display_name":"Gitimoni Saikia","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]},{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gitimoni Saikia","raw_affiliation_strings":["Indian Institute of Information Technology, Guwahati, Assam, India","Indian Institute of Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210089896"]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039749026","display_name":"Saroj S. Shivagunde","orcid":"https://orcid.org/0000-0001-5592-8357"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saroj Shivagunde","raw_affiliation_strings":["Dept. of Computer Science and Engineering","Indian Institute of Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109364773","display_name":"V. Vijaya Saradhi","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijaya V. Saradhi","raw_affiliation_strings":["Dept. of Computer Science and Engineering","Indian Institute of Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001746046","display_name":"Raghvendra Kannao","orcid":"https://orcid.org/0000-0003-2083-2560"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raghvendra Dhirendra Kannao","raw_affiliation_strings":["Dept. of Electronics and Electrical Engineering","Indian Institute of Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Electrical Engineering","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041308578","display_name":"Prithwijit Guha","orcid":"https://orcid.org/0000-0003-2885-0026"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prithwijit Guha","raw_affiliation_strings":["Dept. of Electronics and Electrical Engineering","Indian Institute of Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Electrical Engineering","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19000474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"520","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9979000091552734,"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/T12676","display_name":"Machine Learning and ELM","score":0.9979000091552734,"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":0.996999979019165,"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/T10320","display_name":"Neural Networks and Applications","score":0.9955999851226807,"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/kernel","display_name":"Kernel (algebra)","score":0.7517711520195007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644146203994751},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.584068238735199},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5735815763473511},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.563827395439148},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.531771719455719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5294451713562012},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48593440651893616},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.47208094596862793},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4682776927947998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4642632007598877},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.432275652885437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4258379340171814},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.41338998079299927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4104264974594116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3867557644844055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2620534300804138},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24995630979537964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24049073457717896}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7517711520195007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644146203994751},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.584068238735199},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5735815763473511},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.563827395439148},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.531771719455719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5294451713562012},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48593440651893616},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.47208094596862793},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4682776927947998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4642632007598877},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.432275652885437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4258379340171814},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.41338998079299927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4104264974594116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3867557644844055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2620534300804138},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24995630979537964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24049073457717896},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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":16,"referenced_works":["https://openalex.org/W1495821235","https://openalex.org/W1510073064","https://openalex.org/W1920328734","https://openalex.org/W1967972920","https://openalex.org/W2005752251","https://openalex.org/W2035221948","https://openalex.org/W2093843821","https://openalex.org/W2109743529","https://openalex.org/W2112019442","https://openalex.org/W2131154631","https://openalex.org/W2145295623","https://openalex.org/W2154630456","https://openalex.org/W6640308425","https://openalex.org/W6641446668","https://openalex.org/W6682657502","https://openalex.org/W6753240528"],"related_works":["https://openalex.org/W2393746448","https://openalex.org/W1984421104","https://openalex.org/W2001772920","https://openalex.org/W2512565647","https://openalex.org/W2027376491","https://openalex.org/W2071590642","https://openalex.org/W2384322977","https://openalex.org/W1985034083","https://openalex.org/W2366185040","https://openalex.org/W2182834820"],"abstract_inverted_index":{"Multiple":[0],"kernel":[1,53,96,110,118],"learning":[2,64],"methods":[3],"combine":[4,136],"a":[5,16,24,30,39,81,95,129,171],"set":[6,25,130],"of":[7,26,32,50,70,94,100,108,131,151,157,174],"base":[8,27,44,52,117],"kernels":[9,28,33,74],"to":[10,41,76,141,147,166,170,181],"produce":[11],"an":[12],"optimal":[13],"one":[14],"for":[15],"certain":[17],"classification":[18,184],"or":[19],"regression":[20],"problem.":[21],"But":[22],"selecting":[23,61,128],"from":[29],"plethora":[31],"is":[34,79,125],"not":[35],"automated.":[36],"We":[37,160],"provide":[38],"criteria":[40],"select":[42],"efficient":[43,51,133],"kernels.":[45],"Automating":[46],"the":[47,65,68,72,92,98,104,109,139,149,152,155],"selection":[48,164],"process":[49],"requires":[54],"less":[55],"time":[56],"and":[57,106,176],"effort":[58],"than":[59],"manually":[60],"them.":[62],"However,":[63],"weights":[66],"in":[67,138],"ratio":[69],"which":[71],"selected":[73,121],"are":[75],"be":[77,120],"combined":[78],"still":[80],"costly":[82],"process.":[83],"To":[84],"calculate":[85],"these":[86],"combination":[87],"weights,":[88],"we":[89,135,145],"first":[90],"evaluate":[91],"efficiency":[93,124],"on":[97],"basis":[99],"two":[101],"parameters":[102],"viz.":[103],"Trace":[105],"Alignment":[107],"matrix":[111],"using":[112],"data":[113,158,168],"envelopment":[114],"analysis.":[115],"A":[116],"can":[119],"if":[122],"its":[123],"100%.":[126],"After":[127],"most":[132],"kernels,":[134],"them":[137],"proportion":[140],"their":[142],"efficiencies.":[143],"Also,":[144],"want":[146],"control":[148],"complexity":[150],"model":[153],"by":[154],"method":[156,165],"selection.":[159],"use":[161],"feature":[162],"vector":[163],"cast":[167],"points":[169],"limited":[172],"number":[173],"features":[175],"then":[177],"apply":[178],"classical":[179],"algorithms":[180],"solve":[182],"our":[183],"problems.":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
