{"id":"https://openalex.org/W1867022913","doi":"https://doi.org/10.1007/978-3-642-24958-7_69","title":"A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network","display_name":"A New Algorithm for Learning Mahalanobis Discriminant Functions by a Neural Network","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1867022913","doi":"https://doi.org/10.1007/978-3-642-24958-7_69","mag":"1867022913"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-24958-7_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-24958-7_69","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5081487317","display_name":"Yoshifusa Ito","orcid":null},"institutions":[{"id":"https://openalex.org/I16528096","display_name":"Aichi Medical University","ror":"https://ror.org/02h6cs343","country_code":"JP","type":"education","lineage":["https://openalex.org/I16528096"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshifusa Ito","raw_affiliation_strings":["School of Medicine, Aichi Medical University, Nagakute, Aichi-ken, 480-1195, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, Aichi Medical University, Nagakute, Aichi-ken, 480-1195, Japan","institution_ids":["https://openalex.org/I16528096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113952194","display_name":"Hiroyuki Izumi","orcid":null},"institutions":[{"id":"https://openalex.org/I195444995","display_name":"Aichi Gakuin University","ror":"https://ror.org/01rwx7470","country_code":"JP","type":"education","lineage":["https://openalex.org/I195444995"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Izumi","raw_affiliation_strings":["Department of Policy Science, Aichi-Gakuin University, Nisshin, Aichi-ken, 470-0195, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Policy Science, Aichi-Gakuin University, Nisshin, Aichi-ken, 470-0195, Japan","institution_ids":["https://openalex.org/I195444995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061429558","display_name":"Cidambi Srinivasan","orcid":"https://orcid.org/0000-0002-0841-8351"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cidambi Srinivasan","raw_affiliation_strings":["Department of Statistics, University of Kentucky, Patterson Office Tower, Lexington, Kentucky, 40506, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Kentucky, Patterson Office Tower, Lexington, Kentucky, 40506, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3727,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65588713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976000189781189,"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":0.9976000189781189,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9857000112533569,"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/T10057","display_name":"Face and Expression Recognition","score":0.9840999841690063,"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/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8761016130447388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850046515464783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6702397465705872},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6270577907562256},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5827628374099731},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5692884922027588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5673577785491943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5079420208930969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5058491230010986},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.5003349781036377},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.42970138788223267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2990720272064209}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8761016130447388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850046515464783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6702397465705872},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6270577907562256},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5827628374099731},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5692884922027588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5673577785491943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5079420208930969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5058491230010986},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.5003349781036377},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.42970138788223267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2990720272064209},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-24958-7_69","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-24958-7_69","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1495367770","https://openalex.org/W1519659736","https://openalex.org/W1549687856","https://openalex.org/W1589109532","https://openalex.org/W1901171823","https://openalex.org/W1980501707","https://openalex.org/W2020246210","https://openalex.org/W2054127200","https://openalex.org/W2093123393","https://openalex.org/W2135050718","https://openalex.org/W2135737922","https://openalex.org/W2141278204","https://openalex.org/W2175288397","https://openalex.org/W2482047908","https://openalex.org/W2502391678","https://openalex.org/W2800394774","https://openalex.org/W3016001898","https://openalex.org/W3017143921"],"related_works":["https://openalex.org/W1534459252","https://openalex.org/W2544441948","https://openalex.org/W4238888834","https://openalex.org/W2025089370","https://openalex.org/W1964346966","https://openalex.org/W4254109204","https://openalex.org/W1984080040","https://openalex.org/W2162393942","https://openalex.org/W1496788032","https://openalex.org/W2075660794"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}