{"id":"https://openalex.org/W2146722014","doi":"https://doi.org/10.1145/2339530.2339648","title":"SPF-GMKL","display_name":"SPF-GMKL","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2146722014","doi":"https://doi.org/10.1145/2339530.2339648","mag":"2146722014"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-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/A5101187528","display_name":"Ashesh Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashesh Jain","raw_affiliation_strings":["Indian Institute of Technology Delhi, New Delhi, India","Indian Institute of Technology Delhi, New Delhi, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian Institute of Technology Delhi, New Delhi, India#TAB#","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013623933","display_name":"S. V. N. Vishwanathan","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.V.N. Vishwanathan","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051880496","display_name":"Manik Varma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manik Varma","raw_affiliation_strings":["Microsoft Research India, Bengaluru, India","Microsoft Research India, Bengaluru, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India, Bengaluru, India","institution_ids":["https://openalex.org/I4210124949"]},{"raw_affiliation_string":"Microsoft Research India, Bengaluru, India#TAB#","institution_ids":["https://openalex.org/I4210124949"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101187528"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":7.4125,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.97772463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"750","last_page":"758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9905999898910522,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9905999898910522,"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/T12676","display_name":"Machine Learning and ELM","score":0.9905999898910522,"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":0.9886999726295471,"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/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.779707670211792},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6486760973930359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6466996669769287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4306577444076538},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4235802888870239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40372249484062195},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31814226508140564},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.19763311743736267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16152122616767883}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.779707670211792},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6486760973930359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6466996669769287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4306577444076538},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4235802888870239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40372249484062195},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31814226508140564},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.19763311743736267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16152122616767883},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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:10.1145/2339530.2339648","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324473","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W71452225","https://openalex.org/W1571226954","https://openalex.org/W1646506067","https://openalex.org/W1973734200","https://openalex.org/W1984274769","https://openalex.org/W1999693420","https://openalex.org/W2012341322","https://openalex.org/W2031823405","https://openalex.org/W2043430160","https://openalex.org/W2048041841","https://openalex.org/W2076605490","https://openalex.org/W2093843821","https://openalex.org/W2104472920","https://openalex.org/W2106503792","https://openalex.org/W2116589987","https://openalex.org/W2116775748","https://openalex.org/W2120137102","https://openalex.org/W2122808326","https://openalex.org/W2127069950","https://openalex.org/W2128035438","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2146722014","https://openalex.org/W2147854592","https://openalex.org/W2153635508","https://openalex.org/W2154462399","https://openalex.org/W2158001550","https://openalex.org/W2164535072","https://openalex.org/W2165417234","https://openalex.org/W2167137033","https://openalex.org/W2170356051","https://openalex.org/W2538008885","https://openalex.org/W2997532932","https://openalex.org/W3085561250","https://openalex.org/W6680751671","https://openalex.org/W6684067080","https://openalex.org/W6684339173"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W2157356416","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W2828181497","https://openalex.org/W4287635664"],"abstract_inverted_index":{"Multiple":[0],"Kernel":[1],"Learning":[2],"(MKL)":[3],"aims":[4],"to":[5,40,43,88,91],"learn":[6],"the":[7,49,61,96,100],"kernel":[8],"in":[9,26],"an":[10,71],"SVM":[11],"from":[12],"training":[13],"data.":[14],"Many":[15],"MKL":[16,31,57,93],"formulations":[17,38,83],"have":[18,23],"been":[19],"proposed":[20],"and":[21,47,98],"some":[22],"proved":[24],"effective":[25],"certain":[27],"applications.":[28,54],"Nevertheless,":[29],"as":[30],"is":[32],"a":[33,64,79,85],"nascent":[34],"field,":[35],"many":[36],"more":[37],"need":[39],"be":[41],"developed":[42],"generalize":[44],"across":[45],"domains":[46],"meet":[48],"challenges":[50],"of":[51,63,70,77,82,95],"real":[52,101],"world":[53],"However,":[55],"each":[56],"formulation":[58],"typically":[59],"necessitates":[60],"development":[62],"specialized":[65],"optimization":[66],"algorithm.":[67],"The":[68],"lack":[69],"efficient,":[72],"general":[73],"purpose":[74],"optimizer":[75],"capable":[76],"handling":[78],"wide":[80],"range":[81],"presents":[84],"significant":[86],"challenge":[87],"those":[89],"looking":[90],"take":[92],"out":[94],"lab":[97],"into":[99],"world.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}