{"id":"https://openalex.org/W2153169333","doi":"https://doi.org/10.1109/ijcnn.2009.5178897","title":"Representation and feature selection using multiple kernel learning","display_name":"Representation and feature selection using multiple kernel learning","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2153169333","doi":"https://doi.org/10.1109/ijcnn.2009.5178897","mag":"2153169333"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","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/A5112944102","display_name":"A. D. Dileep","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. D. Dileep","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113563423","display_name":"C. Chandra Sekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Chandra Sekhar","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":2.1453,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90346625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"717","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976000189781189,"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":0.9969000220298767,"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":0.8496090173721313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720828115940094},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6947789192199707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6663309931755066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6608942747116089},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6539828777313232},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5874375104904175},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5534201860427856},{"id":"https://openalex.org/keywords/tree-kernel","display_name":"Tree kernel","score":0.5464538335800171},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49419716000556946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48212170600891113},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47966909408569336},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.47034767270088196},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.46991080045700073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44691404700279236},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.38594135642051697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2649884819984436}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.8496090173721313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720828115940094},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6947789192199707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663309931755066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6608942747116089},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6539828777313232},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5874375104904175},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5534201860427856},{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5464538335800171},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49419716000556946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48212170600891113},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47966909408569336},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.47034767270088196},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.46991080045700073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44691404700279236},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.38594135642051697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2649884819984436},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W198953946","https://openalex.org/W1578080815","https://openalex.org/W1989085630","https://openalex.org/W1999935624","https://openalex.org/W2031823405","https://openalex.org/W2053084640","https://openalex.org/W2106503792","https://openalex.org/W2116881180","https://openalex.org/W2119479037","https://openalex.org/W2121033924","https://openalex.org/W2122808326","https://openalex.org/W2139212933","https://openalex.org/W2145295623","https://openalex.org/W2154462399","https://openalex.org/W2158086655","https://openalex.org/W3193477162","https://openalex.org/W4231291716","https://openalex.org/W4285719527","https://openalex.org/W6641446668","https://openalex.org/W6678059867","https://openalex.org/W6683181193"],"related_works":["https://openalex.org/W3099811568","https://openalex.org/W2808668159","https://openalex.org/W1590832708","https://openalex.org/W2964169082","https://openalex.org/W3013206934","https://openalex.org/W1535136526","https://openalex.org/W1969447452","https://openalex.org/W4291669689","https://openalex.org/W2071590642","https://openalex.org/W4388570703"],"abstract_inverted_index":{"Multiple":[0],"kernel":[1,33,51],"learning":[2],"(MKL)":[3],"approach":[4,27,72],"for":[5,37,43,113],"selecting":[6],"and":[7,76,108],"combining":[8],"different":[9],"representations":[10,79],"of":[11,17,22,58,66,99],"a":[12,20,47,55,87],"data":[13,23],"is":[14,28,35,52],"presented.":[15],"Selection":[16],"features":[18,85],"from":[19,46,86],"representation":[21,39,67,107],"using":[24],"the":[25,64,78,91,97,106],"MKL":[26,71,92],"also":[29],"addressed.":[30],"A":[31,49],"base":[32,59],"function":[34],"used":[36],"each":[38,44],"as":[40,42,54,80,82],"well":[41,81],"feature":[45,109],"representation.":[48,88],"new":[50],"obtained":[53],"linear":[56],"combination":[57],"kernels,":[60],"weighted":[61],"according":[62],"to":[63,74,83],"relevance":[65],"or":[68],"feature.":[69],"The":[70],"helps":[73],"select":[75,84],"combine":[77],"Issues":[89],"in":[90,96],"algorithm":[93],"are":[94,111],"addressed":[95],"framework":[98],"support":[100],"vector":[101],"machines":[102],"(SVM).":[103],"Studies":[104],"on":[105],"selection":[110],"presented":[112],"an":[114],"image":[115],"categorization":[116],"task.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
