{"id":"https://openalex.org/W1998706911","doi":"https://doi.org/10.1109/icassp.2014.6855212","title":"KEOPS: Kernels organized into pyramids","display_name":"KEOPS: Kernels organized into pyramids","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1998706911","doi":"https://doi.org/10.1109/icassp.2014.6855212","mag":"1998706911"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5110502601","display_name":"Marie Szafranski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097372","display_name":"\u00c9cole Nationale Sup\u00e9rieure d\u2019Informatique pour l\u2019Industrie et l\u2019Entreprise","ror":"https://ror.org/00tx98v53","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210097372"]},{"id":"https://openalex.org/I4210107733","display_name":"Informatique, BioInformatique, Syst\u00e8mes Complexes","ror":"https://ror.org/01aqxgr98","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210107733","https://openalex.org/I88467170"]},{"id":"https://openalex.org/I88467170","display_name":"Universit\u00e9 d'\u00c9vry Val-d'Essonne","ror":"https://ror.org/00e96v939","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954","https://openalex.org/I88467170"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie Szafranski","raw_affiliation_strings":["ENSIIE, IBISC - Universit\u00e9 d'\u00c9vry Val d'Essonne, \u00c9vry, France","Ecole Nationale Sup\u00e9rieure d'Informatique pour l'Industrie et l'Entreprise","Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIIE, IBISC - Universit\u00e9 d'\u00c9vry Val d'Essonne, \u00c9vry, France","institution_ids":["https://openalex.org/I88467170","https://openalex.org/I4210107733","https://openalex.org/I4210097372"]},{"raw_affiliation_string":"Ecole Nationale Sup\u00e9rieure d'Informatique pour l'Industrie et l'Entreprise","institution_ids":["https://openalex.org/I4210097372"]},{"raw_affiliation_string":"Informatique, Biologie Int\u00e9grative et Syst\u00e8mes Complexes","institution_ids":["https://openalex.org/I4210107733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021351429","display_name":"Yves Grandvalet","orcid":"https://orcid.org/0000-0002-5645-5149"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210088387","display_name":"Heuristics and Diagnostics for Complex Systems","ror":"https://ror.org/0075hvk77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102516824","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210088387","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yves Grandvalet","raw_affiliation_strings":["CNRS, Universit\u00e9 de Technologie de Compi\u00e8gne, Compi\u00e8gne, France","Laboratoire d'Excellence \"Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques\"","Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Technologie de Compi\u00e8gne, Compi\u00e8gne, France","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire d'Excellence \"Ma\u00eetrise des Syst\u00e8mes de Syst\u00e8mes Technologiques\"","institution_ids":[]},{"raw_affiliation_string":"Heuristique et Diagnostic des Syst\u00e8mes Complexes [Compi\u00e8gne]","institution_ids":["https://openalex.org/I4210088387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4229,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73876716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"8262","last_page":"8266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques 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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862372159957886},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6446024775505066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323107481002808},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5018062591552734},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49794507026672363},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4559533894062042},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.439503014087677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4384106695652008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4337092638015747},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3201417624950409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22729310393333435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862372159957886},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6446024775505066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323107481002808},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5018062591552734},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49794507026672363},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4559533894062042},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.439503014087677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4384106695652008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4337092638015747},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3201417624950409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22729310393333435},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6855212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00979394v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00979394","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE 2014 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp.8262--8266, 2014, ⟨10.1109/ICASSP.2014.6855212⟩","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1514455931","https://openalex.org/W1539012881","https://openalex.org/W1646506067","https://openalex.org/W1994309289","https://openalex.org/W2000888362","https://openalex.org/W2054110507","https://openalex.org/W2095981367","https://openalex.org/W2097839764","https://openalex.org/W2100435143","https://openalex.org/W2104640717","https://openalex.org/W2113362355","https://openalex.org/W2140514146","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2153912116","https://openalex.org/W2157083019","https://openalex.org/W2158001550","https://openalex.org/W2610681481","https://openalex.org/W3099503819","https://openalex.org/W4246066915","https://openalex.org/W6630736306","https://openalex.org/W6632282575","https://openalex.org/W6636909375","https://openalex.org/W6641446668","https://openalex.org/W6674582357","https://openalex.org/W6676514679","https://openalex.org/W6680751671","https://openalex.org/W6683180201"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"Data":[0],"representation":[1],"is":[2,35,90,102,121],"a":[3,23,38,55,59,99,111,124],"crucial":[4],"issue":[5],"in":[6,37],"signal":[7],"processing":[8],"and":[9,69],"machine":[10],"learning.":[11],"In":[12],"this":[13],"work,":[14],"we":[15],"propose":[16,54],"to":[17,104],"guide":[18],"the":[19,49,71,81,94,115],"learning":[20],"process":[21],"with":[22,93,110],"prior":[24],"knowledge":[25,34],"describing":[26],"how":[27],"similarities":[28,46,75,89],"between":[29],"examples":[30],"are":[31,48,77],"organized.":[32],"This":[33],"encoded":[36],"tree":[39],"structure":[40],"that":[41,47,57,101],"represents":[42],"nested":[43],"groups":[44,73,76],"of":[45,51,66,74,86,114],"pyramids":[50,65],"kernels.":[52],"We":[53],"framework":[56],"learns":[58],"Support":[60],"Vector":[61],"Machine":[62],"(SVM)":[63],"on":[64,123],"arbitrary":[67],"heights":[68],"identifies":[70],"relevant":[72,78],"for":[79],"classifying":[80],"examples.":[82],"A":[83],"weighted":[84],"combination":[85],"(groups":[87],"of)":[88],"learned":[91],"jointly":[92],"SVM":[95],"parameters,":[96],"by":[97],"optimizing":[98],"criterion":[100],"shown":[103],"be":[105],"an":[106],"equivalent":[107],"formulation":[108],"regularized":[109],"mixed":[112],"norm":[113],"original":[116],"fitting":[117],"problem.":[118,129],"Our":[119],"approach":[120],"illustrated":[122],"Brain":[125],"Computer":[126],"Interfaces":[127],"classification":[128]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}