{"id":"https://openalex.org/W2146143569","doi":"https://doi.org/10.1016/s0031-3203(02)00019-5","title":"Discriminant feature extraction using empirical probability density estimation and a local basis library","display_name":"Discriminant feature extraction using empirical probability density estimation and a local basis library","publication_year":2002,"publication_date":"2002-10-11","ids":{"openalex":"https://openalex.org/W2146143569","doi":"https://doi.org/10.1016/s0031-3203(02)00019-5","mag":"2146143569"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(02)00019-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(02)00019-5","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","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/A5067244173","display_name":"Naoki Saito","orcid":"https://orcid.org/0000-0001-5234-4719"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naoki Saito","raw_affiliation_strings":["Department of Mathematics, University of California, One Shields Avenue, Davis, CA 95616, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, One Shields Avenue, Davis, CA 95616, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110436903","display_name":"Ronald R. Coifman","orcid":"https://orcid.org/0000-0001-7336-7784"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald R. Coifman","raw_affiliation_strings":["Department of Mathematics, Yale University, New Haven, CT 06520, USA","Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Yale University, New Haven, CT 06520, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043616523","display_name":"Frank Geshwind","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank B. Geshwind","raw_affiliation_strings":["Department of Mathematics, Yale University, New Haven, CT 06520, USA","Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Yale University, New Haven, CT 06520, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112828147","display_name":"Fred Warner","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Warner","raw_affiliation_strings":["Department of Mathematics, Yale University, New Haven, CT 06520, USA","Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Yale University, New Haven, CT 06520, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Fast Mathematical Algorithms and Hardware Corp., Hamden, CT 06514, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067244173"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":5.5694,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.96194459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"12","first_page":"2841","last_page":"2852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980999827384949,"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":0.9980999827384949,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.744109570980072},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6888951063156128},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.6576938629150391},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6040703058242798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772377252578735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5648257732391357},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.519555389881134},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.512761652469635},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4942893981933594},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.47758176922798157},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.46936967968940735},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.46626409888267517},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42891794443130493},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4276579022407532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3941757082939148},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2917228043079376}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.744109570980072},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6888951063156128},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6576938629150391},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6040703058242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772377252578735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5648257732391357},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.519555389881134},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.512761652469635},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4942893981933594},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.47758176922798157},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.46936967968940735},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.46626409888267517},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42891794443130493},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4276579022407532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3941757082939148},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2917228043079376},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0031-3203(02)00019-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(02)00019-5","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W11915571","https://openalex.org/W16095134","https://openalex.org/W59771946","https://openalex.org/W146797809","https://openalex.org/W204885769","https://openalex.org/W1491458120","https://openalex.org/W1604810369","https://openalex.org/W1963871118","https://openalex.org/W1990517717","https://openalex.org/W1995945562","https://openalex.org/W2017983692","https://openalex.org/W2020781433","https://openalex.org/W2035071469","https://openalex.org/W2046031028","https://openalex.org/W2082612735","https://openalex.org/W2090449567","https://openalex.org/W2115054280","https://openalex.org/W2115755118","https://openalex.org/W2121027587","https://openalex.org/W2125512445","https://openalex.org/W2163288162","https://openalex.org/W2795528501","https://openalex.org/W2912934387","https://openalex.org/W3085162807","https://openalex.org/W3106889297","https://openalex.org/W4212883601","https://openalex.org/W4238957295","https://openalex.org/W4256157293","https://openalex.org/W4285719527","https://openalex.org/W4300048831","https://openalex.org/W6600467017","https://openalex.org/W6600634069","https://openalex.org/W6602487499","https://openalex.org/W6603039838","https://openalex.org/W6606016490"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2021817983","https://openalex.org/W3021047493","https://openalex.org/W2371177901"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}