{"id":"https://openalex.org/W1986760319","doi":"https://doi.org/10.1109/mlsp.2012.6349761","title":"Online regularized discriminant analysis","display_name":"Online regularized discriminant analysis","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1986760319","doi":"https://doi.org/10.1109/mlsp.2012.6349761","mag":"1986760319"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2012.6349761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2012.6349761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","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/A5059978625","display_name":"Umut Orhan","orcid":"https://orcid.org/0000-0003-1882-6567"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umut Orhan","raw_affiliation_strings":["Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","Cognitive Systems Lab, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Cognitive Systems Lab, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413655","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-2385-6963"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","Cognitive Systems Lab, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Cognitive Systems Lab, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdogmus","raw_affiliation_strings":["Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","Cognitive Systems Lab, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Laboratory, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Cognitive Systems Lab, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059978625"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07617517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"113","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9945999979972839,"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/T10320","display_name":"Neural Networks and Applications","score":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.7644261717796326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6990720629692078},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6783781051635742},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6605331897735596},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6447097659111023},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.590268611907959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5805550217628479},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5790873169898987},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5600907802581787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.541117787361145},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4321490526199341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36259883642196655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16247475147247314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.138668030500412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644261717796326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6990720629692078},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6783781051635742},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6605331897735596},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6447097659111023},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.590268611907959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5805550217628479},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5790873169898987},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5600907802581787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.541117787361145},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4321490526199341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36259883642196655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16247475147247314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.138668030500412},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2012.6349761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2012.6349761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322035","display_name":"Rural Development Administration","ror":"https://ror.org/03xs9yg50"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2004273905","https://openalex.org/W2014763566","https://openalex.org/W2046649434","https://openalex.org/W2098735891","https://openalex.org/W2106006415","https://openalex.org/W2133355890","https://openalex.org/W2150251308","https://openalex.org/W2165217282","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W4238240379"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2794812819","https://openalex.org/W2114217318","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W2063246903"],"abstract_inverted_index":{"Learning":[0],"the":[1,29,32,36,42,47,54,57,60,79,82,85,97,126,129,139,144,154],"signal":[2,69],"statistics":[3],"and":[4],"calibration":[5,50,86,98],"are":[6],"essential":[7],"procedures":[8],"for":[9,35,119,142],"supervised":[10,131],"machine":[11],"learning":[12],"algorithms.":[13],"For":[14],"some":[15],"applications,":[16],"e.g":[17],"ERP":[18],"based":[19],"brain":[20],"computer":[21],"interfaces,":[22],"it":[23],"might":[24],"be":[25],"important":[26],"to":[27,70,95,124,148],"reduce":[28],"duration":[30],"of":[31,41,49,56,65,81],"calibration,":[33],"especially":[34],"ones":[37],"requiring":[38],"frequent":[39],"training":[40],"classifiers.":[43],"However":[44],"simply":[45],"decreasing":[46],"number":[48],"samples":[51],"would":[52,92,152],"decrease":[53],"performance":[55,80,155],"algorithm":[58,61,83,118],"if":[59,100],"suffers":[62],"from":[63],"curse":[64],"dimensionality":[66],"or":[67],"low":[68],"noise":[71],"ratio.":[72],"As":[73],"a":[74,106],"remedy,":[75],"we":[76,114],"propose":[77],"estimating":[78],"during":[84],"in":[87,108,158],"an":[88,116],"online":[89],"manner,":[90],"which":[91],"allow":[93],"us":[94],"terminate":[96],"session":[99],"required.":[101],"Consequently,":[102],"early":[103],"termination":[104],"means":[105],"reduction":[107],"time":[109,140],"spent.":[110],"In":[111],"this":[112],"paper,":[113],"present":[115],"updating":[117,143],"regularized":[120],"discriminant":[121],"analysis":[122],"(RDA)":[123],"modify":[125],"classifier":[127],"using":[128],"new":[130],"data":[132],"collected.":[133],"The":[134],"proposed":[135],"procedure":[136],"considerably":[137],"reduces":[138],"required":[141],"RDA":[145],"classifiers":[146],"compared":[147],"recalibrating":[149],"them,":[150],"that":[151],"make":[153],"estimation":[156],"applicable":[157],"real":[159],"time.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
