{"id":"https://openalex.org/W2151984273","doi":"https://doi.org/10.1109/icassp.2012.6287995","title":"A new multiple-kernel-learning weighting method for localizing human brain magnetic activity","display_name":"A new multiple-kernel-learning weighting method for localizing human brain magnetic activity","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2151984273","doi":"https://doi.org/10.1109/icassp.2012.6287995","mag":"2151984273"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6287995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6287995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5009283470","display_name":"Tetsuya Takiguchi","orcid":"https://orcid.org/0000-0001-5005-7679"},"institutions":[{"id":"https://openalex.org/I4210119130","display_name":"Institute for Learning Innovation","ror":"https://ror.org/02krjt890","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119130"]},{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"T. Takiguchi","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Japan","Institute for Learning and Brain Sciences, University of Washington, USA"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Institute for Learning and Brain Sciences, University of Washington, USA","institution_ids":["https://openalex.org/I4210119130","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031620438","display_name":"Toshiaki Imada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119130","display_name":"Institute for Learning Innovation","ror":"https://ror.org/02krjt890","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119130"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"T. Imada","raw_affiliation_strings":["Institute for Learning and Brain Sciences, University of Washington, USA","Tokyo Denki University, Japan"],"affiliations":[{"raw_affiliation_string":"Institute for Learning and Brain Sciences, University of Washington, USA","institution_ids":["https://openalex.org/I4210119130","https://openalex.org/I201448701"]},{"raw_affiliation_string":"Tokyo Denki University, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057295313","display_name":"Ryoichi Takashima","orcid":"https://orcid.org/0000-0002-9808-0250"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"R. Takashima","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040766342","display_name":"Yasuo Ariki","orcid":"https://orcid.org/0000-0003-3473-2026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Ariki","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102848002","display_name":"Jing Lin","orcid":"https://orcid.org/0000-0003-4854-6769"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210119130","display_name":"Institute for Learning Innovation","ror":"https://ror.org/02krjt890","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.-F. L. Lin","raw_affiliation_strings":["Institute for Learning and Brain Sciences, University of Washington, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Learning and Brain Sciences, University of Washington, USA","institution_ids":["https://openalex.org/I4210119130","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042429206","display_name":"Patricia K. Kuhl","orcid":"https://orcid.org/0000-0002-1651-9742"},"institutions":[{"id":"https://openalex.org/I4210119130","display_name":"Institute for Learning Innovation","ror":"https://ror.org/02krjt890","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210119130"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. K. Kuhl","raw_affiliation_strings":["Institute for Learning and Brain Sciences, University of Washington, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Learning and Brain Sciences, University of Washington, USA","institution_ids":["https://openalex.org/I4210119130","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079845148","display_name":"Masaki Kawakatsu","orcid":"https://orcid.org/0009-0005-1588-7542"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kawakatsu","raw_affiliation_strings":["Tokyo Denki University, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Denki University, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103149898","display_name":"Motoko Kotani","orcid":"https://orcid.org/0000-0002-2540-7187"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kotani","raw_affiliation_strings":["Tokyo Denki University, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Denki University, Japan","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5009283470"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210119130","https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73461143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7782048583030701},{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.715117335319519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6874433159828186},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.6304094195365906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.618423581123352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5964515209197998},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5893378853797913},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5459443926811218},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43552660942077637},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4305878281593323},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41931331157684326},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3584052622318268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3523316979408264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22964486479759216},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10385644435882568},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0950874388217926},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.0852319598197937},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07459098100662231}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7782048583030701},{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.715117335319519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6874433159828186},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.6304094195365906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.618423581123352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964515209197998},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5893378853797913},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5459443926811218},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43552660942077637},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4305878281593323},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41931331157684326},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3584052622318268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3523316979408264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22964486479759216},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10385644435882568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0950874388217926},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.0852319598197937},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07459098100662231},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6287995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6287995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2007926952","https://openalex.org/W2119247010","https://openalex.org/W2122808326","https://openalex.org/W2125752251","https://openalex.org/W2126084138","https://openalex.org/W2149500047","https://openalex.org/W2171890082"],"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":{"This":[0],"paper":[1],"shows":[2],"that":[3],"pattern":[4],"classification":[5,54,113],"based":[6],"on":[7],"machine":[8],"learning":[9,34],"is":[10,71,86],"a":[11,26,31,104],"powerful":[12],"tool":[13],"to":[14,37,43],"analyze":[15],"human":[16],"brain":[17,40,109],"activity":[18],"data":[19],"obtained":[20,65],"by":[21],"magnetoencephalography":[22],"(MEG).":[23],"We":[24],"propose":[25],"new":[27],"weighting":[28],"method":[29],"using":[30],"multiple":[32],"kernel":[33],"(MKL)":[35],"algorithm":[36],"localize":[38],"the":[39,44,53,57,75,83,90,98,108,111,117],"area":[41,106],"contributing":[42],"accurate":[45],"vowel":[46],"discrimination.":[47],"Our":[48,94],"MKL":[49],"simultaneously":[50],"estimates":[51],"both":[52,97],"boundary":[55],"and":[56,110],"weight":[58,80],"of":[59,69,74,107],"each":[60,67],"MEG":[61,63,91,100],"sensor;":[62],"amplitude":[64],"from":[66],"pair":[68],"sensors":[70,101],"an":[72],"element":[73],"feature":[76],"vector.":[77],"The":[78],"estimated":[79],"indicates":[81],"how":[82],"corresponding":[84],"sensor":[85],"useful":[87],"for":[88],"classifying":[89],"response":[92],"patterns.":[93],"results":[95],"show":[96],"large-weight":[99],"mainly":[102],"in":[103,116],"language":[105],"high":[112],"accuracy":[114],"(73.0%)":[115],"100":[118],"~":[119],"200":[120],"ms":[121],"latency":[122],"range.":[123]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
