{"id":"https://openalex.org/W2703643318","doi":"https://doi.org/10.1109/icassp.2017.7953033","title":"Linear Discriminant Analysis with few training data","display_name":"Linear Discriminant Analysis with few training data","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2703643318","doi":"https://doi.org/10.1109/icassp.2017.7953033","mag":"2703643318"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Panos P. Markopoulos","raw_affiliation_strings":["Department of Electrical and Mircoelectronic Engineering, Rochester Institute of Technology, Rochester, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Mircoelectronic Engineering, Rochester Institute of Technology, Rochester, NY","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010876698"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.7164,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83565405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4626","last_page":"4630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T12535","display_name":"Machine Learning and Data Classification","score":0.9815000295639038,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9804999828338623,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.887459397315979},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6353174448013306},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.600833535194397},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5618295073509216},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5349375605583191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5158933401107788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49241840839385986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47370263934135437},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4616137742996216},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.44625526666641235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4296841025352478},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3911963105201721},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2225724160671234},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2079724371433258}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.887459397315979},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6353174448013306},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.600833535194397},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5618295073509216},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5349375605583191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5158933401107788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49241840839385986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47370263934135437},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4616137742996216},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.44625526666641235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4296841025352478},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3911963105201721},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2225724160671234},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2079724371433258},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1972222083","https://openalex.org/W1989702938","https://openalex.org/W1995937139","https://openalex.org/W2004616349","https://openalex.org/W2023486316","https://openalex.org/W2041657594","https://openalex.org/W2042041679","https://openalex.org/W2052570068","https://openalex.org/W2056806935","https://openalex.org/W2075772568","https://openalex.org/W2089681592","https://openalex.org/W2102764819","https://openalex.org/W2106069438","https://openalex.org/W2116019577","https://openalex.org/W2150796457","https://openalex.org/W2155423555","https://openalex.org/W2295238559","https://openalex.org/W2616843152","https://openalex.org/W2750378047","https://openalex.org/W3147809485","https://openalex.org/W4298266977","https://openalex.org/W4298379700","https://openalex.org/W6743593797","https://openalex.org/W6774441562"],"related_works":["https://openalex.org/W1999647744","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2375208160","https://openalex.org/W2113920489","https://openalex.org/W2371177901","https://openalex.org/W1534459252","https://openalex.org/W1984472287"],"abstract_inverted_index":{"Statistically-optimal":[0],"Linear":[1],"Discriminant":[2],"Analysis":[3],"(LDA)":[4],"is":[5,43,71],"formulated":[6],"as":[7],"a":[8,32,86,98],"maximization":[9],"that":[10,89,102,114],"involves":[11],"the":[12,16,39,46,49,60,66,77,92,105,118,126,131,137],"nominal":[13,25,40,78,127],"statistics":[14,26,95],"of":[15,34,48,100,107,117],"classes":[17],"to":[18,68,73,104,125],"be":[19],"discriminated.":[20],"In":[21,81],"practice,":[22],"however,":[23],"these":[24,56],"are":[27,64],"unknown":[28],"and":[29,96],"estimated":[30,93],"from":[31,76],"collection":[33],"labeled":[35],"training":[36,62],"data.":[37],"Accordingly,":[38],"LDA":[41,52,70,79,128],"basis":[42,129],"approximated":[44],"by":[45],"solution":[47,67,106],"popular":[50],"practical":[51,69,108],"problem":[53],"defined":[54],"upon":[55],"estimates.":[57],"However,":[58],"when":[59],"available":[61],"data":[63],"few,":[65],"known":[72],"lie":[74],"far":[75],"basis.":[80],"this":[82],"work,":[83],"we":[84],"propose":[85],"novel":[87],"algorithm":[88],"operates":[90],"on":[91],"class":[94],"generates":[97],"sequence":[99,120],"bases":[101],"converges":[103],"LDA.":[109],"Importantly,":[110],"our":[111],"studies":[112],"illustrate":[113],"early":[115],"elements":[116],"proposed":[119],"exhibit":[121],"significantly":[122],"higher":[123],"approximation":[124],"than":[130],"converging":[132],"point":[133],"and,":[134],"thus,":[135],"offer":[136],"means":[138],"for":[139],"superior":[140],"classification":[141],"performance.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}