{"id":"https://openalex.org/W2753403738","doi":"https://doi.org/10.1109/tsp.2017.2750119","title":"A Fixed-Point Online Kernel Principal Component Extraction Algorithm","display_name":"A Fixed-Point Online Kernel Principal Component Extraction Algorithm","publication_year":2017,"publication_date":"2017-09-07","ids":{"openalex":"https://openalex.org/W2753403738","doi":"https://doi.org/10.1109/tsp.2017.2750119","mag":"2753403738"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2750119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2750119","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5015589360","display_name":"Jo\u00e3o Baptista de Oliveira e Souza Filho","orcid":"https://orcid.org/0000-0001-6005-8480"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Joao B. O. Souza Filho","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil#TAB#","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001906248","display_name":"Paulo S. R. Diniz","orcid":"https://orcid.org/0000-0002-1272-7368"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo S. R. Diniz","raw_affiliation_strings":["Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil#TAB#","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015589360"],"corresponding_institution_ids":["https://openalex.org/I122140584"],"apc_list":null,"apc_paid":null,"fwci":0.9246,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75774512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"65","issue":"23","first_page":"6244","last_page":"6259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743863582611084},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6732766628265381},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6255325675010681},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6195288300514221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6006100177764893},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5335498452186584},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5293762683868408},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5021333694458008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.447092741727829},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707523047924042},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3533410429954529},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31277596950531006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15602347254753113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743863582611084},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6732766628265381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6255325675010681},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6195288300514221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6006100177764893},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5335498452186584},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5293762683868408},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5021333694458008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447092741727829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707523047924042},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3533410429954529},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31277596950531006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15602347254753113},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2017.2750119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2750119","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322749","display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","ror":"https://ror.org/03kk0s825"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W138865867","https://openalex.org/W576428146","https://openalex.org/W1965151166","https://openalex.org/W1998640076","https://openalex.org/W2030480732","https://openalex.org/W2043107623","https://openalex.org/W2056321881","https://openalex.org/W2057004560","https://openalex.org/W2063341754","https://openalex.org/W2070503991","https://openalex.org/W2099194085","https://openalex.org/W2103914106","https://openalex.org/W2107275435","https://openalex.org/W2109235804","https://openalex.org/W2128330514","https://openalex.org/W2131329059","https://openalex.org/W2133396101","https://openalex.org/W2139320579","https://openalex.org/W2140095548","https://openalex.org/W2140289474","https://openalex.org/W2150590096","https://openalex.org/W2151757532","https://openalex.org/W2153290280","https://openalex.org/W2162457093","https://openalex.org/W2169945149","https://openalex.org/W2250547309","https://openalex.org/W2570194385","https://openalex.org/W4292933682","https://openalex.org/W4298982457","https://openalex.org/W6680796417"],"related_works":["https://openalex.org/W2113853643","https://openalex.org/W1488165778","https://openalex.org/W2358824780","https://openalex.org/W2145759202","https://openalex.org/W2120337110","https://openalex.org/W2378320533","https://openalex.org/W2136633751","https://openalex.org/W2145899702","https://openalex.org/W2110459882","https://openalex.org/W2123450736"],"abstract_inverted_index":{"Kernel":[0],"principal":[1],"component":[2],"analysis":[3],"(KPCA)":[4],"is":[5],"a":[6,61,76,85],"powerful":[7],"and":[8,99,122],"widely":[9],"applied":[10],"nonlinear":[11],"feature":[12],"extraction":[13,35,46],"technique.":[14],"However,":[15],"as":[16,125,127,135],"originally":[17],"proposed,":[18,49],"KPCA":[19,45,70,140],"may":[20],"be":[21],"cumbersome":[22],"or":[23],"infeasible":[24],"in":[25,106,110,131],"large-scale":[26],"datasets,":[27],"which":[28],"motivated":[29],"the":[30],"development":[31],"of":[32,52],"low-complexity":[33],"iterative":[34,67],"algorithms,":[36],"mainly":[37],"aiming":[38],"image":[39,117,133],"processing":[40],"applications.":[41],"Recently,":[42],"some":[43],"online":[44,139],"algorithms":[47],"were":[48],"but":[50],"most":[51],"them":[53],"suffer":[54],"from":[55,81],"low-convergence":[56],"speed.":[57],"This":[58],"paper":[59],"proposes":[60],"new":[62],"algorithm":[63,90],"based":[64],"on":[65,92],"fixed-point":[66],"equations":[68],"for":[69],"extraction,":[71],"expanding":[72],"kernel":[73],"components":[74],"using":[75],"compact":[77],"dictionary,":[78],"dynamically":[79],"built":[80],"data,":[82],"according":[83],"to":[84,137],"user-defined":[86],"accuracy":[87,121],"parameter.":[88],"The":[89],"relies":[91],"simple":[93],"equations,":[94],"can":[95],"track":[96],"nonstationary":[97],"environments,":[98],"requires":[100],"reduced":[101],"storage,":[102],"enabling":[103],"its":[104],"use":[105],"real-time":[107],"applications":[108],"operating":[109],"low-cost":[111],"embedded":[112],"hardware.":[113],"Results":[114],"involving":[115],"open-access":[116],"datasets":[118],"show":[119],"improved":[120],"convergence":[123],"speed,":[124],"well":[126],"permitted":[128],"effective":[129],"improvements":[130],"practical":[132],"applications,":[134],"compared":[136],"state-of-art":[138],"techniques.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
