{"id":"https://openalex.org/W2108869194","doi":"https://doi.org/10.1016/s0031-3203(01)00107-8","title":"High-order Fisher's discriminant analysis","display_name":"High-order Fisher's discriminant analysis","publication_year":2002,"publication_date":"2002-06-01","ids":{"openalex":"https://openalex.org/W2108869194","doi":"https://doi.org/10.1016/s0031-3203(01)00107-8","mag":"2108869194"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(01)00107-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(01)00107-8","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/A5021781098","display_name":"A. Sierra","orcid":"https://orcid.org/0000-0002-6181-2200"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"A. Sierra","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Inform\u00e1tica, Universidad Aut\u00f3noma de Madrid, 28049 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Inform\u00e1tica, Universidad Aut\u00f3noma de Madrid, 28049 Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021781098"],"corresponding_institution_ids":["https://openalex.org/I63634437"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":1.7137,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.86391431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"6","first_page":"1291","last_page":"1302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"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":0.9936000108718872,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8849926590919495},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.8211581707000732},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.7201099991798401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6709597706794739},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.6625156998634338},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.5520135760307312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.545133650302887},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.540911078453064},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.514602541923523},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5091809630393982},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4921950399875641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4810805022716522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34096014499664307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.282012939453125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1948297917842865},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05274870991706848}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8849926590919495},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.8211581707000732},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.7201099991798401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6709597706794739},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.6625156998634338},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.5520135760307312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.545133650302887},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.540911078453064},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.514602541923523},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5091809630393982},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4921950399875641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4810805022716522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34096014499664307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.282012939453125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1948297917842865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05274870991706848},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0031-3203(01)00107-8","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(01)00107-8","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":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W98056105","https://openalex.org/W1541501294","https://openalex.org/W1554663460","https://openalex.org/W1558025308","https://openalex.org/W1569757501","https://openalex.org/W1969341260","https://openalex.org/W1976866069","https://openalex.org/W2001619934","https://openalex.org/W2025357764","https://openalex.org/W2025653905","https://openalex.org/W2033041054","https://openalex.org/W2034327033","https://openalex.org/W2091886411","https://openalex.org/W2097571405","https://openalex.org/W2128027505","https://openalex.org/W2134514463","https://openalex.org/W2145890287","https://openalex.org/W2148603752","https://openalex.org/W2152150600","https://openalex.org/W2170189305","https://openalex.org/W2486609979","https://openalex.org/W2750378047","https://openalex.org/W2797583072","https://openalex.org/W2799061466","https://openalex.org/W2914369697","https://openalex.org/W3015981925","https://openalex.org/W3023540311","https://openalex.org/W4205687621","https://openalex.org/W4240294902","https://openalex.org/W4240861491","https://openalex.org/W4249303080","https://openalex.org/W4298400715","https://openalex.org/W4299812435","https://openalex.org/W6729737291","https://openalex.org/W6816283850","https://openalex.org/W6823407427"],"related_works":["https://openalex.org/W2386228546","https://openalex.org/W2086055175","https://openalex.org/W2538559652","https://openalex.org/W2365801610","https://openalex.org/W2354551251","https://openalex.org/W2354349698","https://openalex.org/W1984472287","https://openalex.org/W2388682444","https://openalex.org/W2621203552","https://openalex.org/W1663471693"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}