{"id":"https://openalex.org/W2553316607","doi":"https://doi.org/10.1109/ijcnn.2016.7727415","title":"Discriminant vector tranformations in neural network classifiers","display_name":"Discriminant vector tranformations in neural network classifiers","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2553316607","doi":"https://doi.org/10.1109/ijcnn.2016.7727415","mag":"2553316607"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5080834911","display_name":"Soumitro Swapan Auddy","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumitro Swapan Auddy","raw_affiliation_strings":["Department of Electrical Engineering, The University of Texas at Arlington, USA","Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The University of Texas at Arlington, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082870488","display_name":"Kanishka Tyagi","orcid":"https://orcid.org/0000-0002-6104-1645"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanishka Tyagi","raw_affiliation_strings":["Department of Electrical Engineering, The University of Texas at Arlington, USA","Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The University of Texas at Arlington, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055364794","display_name":"Son Nguyen","orcid":"https://orcid.org/0000-0001-9409-4738"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Son Nguyen","raw_affiliation_strings":["Department of Electrical Engineering, The University of Texas at Arlington, USA","Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The University of Texas at Arlington, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114046112","display_name":"M.T. Manry","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Manry","raw_affiliation_strings":["Department of Electrical Engineering, The University of Texas at Arlington, USA","Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, The University of Texas at Arlington, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"1780","last_page":"1786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9955000281333923,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7515547275543213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6958394646644592},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6795328855514526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6738943457603455},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6717984676361084},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.6591208577156067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6504201889038086},{"id":"https://openalex.org/keywords/throwing","display_name":"Throwing","score":0.5999835133552551},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5441696047782898},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.4464322626590729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37509825825691223},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1141132116317749},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09527289867401123}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7515547275543213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6958394646644592},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6795328855514526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6738943457603455},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6717984676361084},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.6591208577156067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6504201889038086},{"id":"https://openalex.org/C207451115","wikidata":"https://www.wikidata.org/wiki/Q12898216","display_name":"Throwing","level":2,"score":0.5999835133552551},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5441696047782898},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.4464322626590729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37509825825691223},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1141132116317749},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09527289867401123},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1503705371","https://openalex.org/W1564803313","https://openalex.org/W1587506815","https://openalex.org/W1973759055","https://openalex.org/W1980501707","https://openalex.org/W1985030154","https://openalex.org/W1988115241","https://openalex.org/W2005490094","https://openalex.org/W2012939133","https://openalex.org/W2018704488","https://openalex.org/W2050270536","https://openalex.org/W2080531309","https://openalex.org/W2087070363","https://openalex.org/W2088648328","https://openalex.org/W2098111204","https://openalex.org/W2100483895","https://openalex.org/W2103496339","https://openalex.org/W2113442785","https://openalex.org/W2115969778","https://openalex.org/W2125392132","https://openalex.org/W2132549764","https://openalex.org/W2141278204","https://openalex.org/W2151554678","https://openalex.org/W2152172623","https://openalex.org/W2161336914","https://openalex.org/W2161384284","https://openalex.org/W2163113711","https://openalex.org/W2168742632","https://openalex.org/W2256578114","https://openalex.org/W2316564661","https://openalex.org/W2484226612","https://openalex.org/W2766736793","https://openalex.org/W4238924907","https://openalex.org/W4244952642","https://openalex.org/W6630094177","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W2757445715","https://openalex.org/W4239855920","https://openalex.org/W2371249440","https://openalex.org/W2365576545","https://openalex.org/W3165347946","https://openalex.org/W4226007727","https://openalex.org/W2059660105","https://openalex.org/W2327671128","https://openalex.org/W2386414876","https://openalex.org/W3029718387"],"abstract_inverted_index":{"We":[0],"review":[1],"the":[2,25,28,54],"fact":[3],"that":[4,45],"several":[5],"kinds":[6],"of":[7,17,27,56],"neural":[8,79],"networks":[9],"can":[10],"be":[11],"trained":[12],"to":[13],"approximate":[14,83],"other":[15],"types":[16],"discriminant":[18],"functions,":[19],"thereby":[20],"throwing":[21],"some":[22],"doubt":[23],"upon":[24],"utility":[26],"No":[29],"Free":[30],"Lunch":[31],"theorem.":[32],"Using":[33],"a":[34],"license":[35],"plate":[36],"recognition":[37],"database":[38],"with":[39],"36":[40],"classes,":[41],"we":[42],"then":[43],"demonstrate":[44],"multilayer":[46],"perceptrons":[47],"estimate":[48],"posterior":[49,65,84],"probabilities":[50],"very":[51],"poorly":[52],"when":[53],"number":[55],"classes":[57],"is":[58,68,73],"large.":[59],"A":[60],"method":[61],"for":[62,77],"generating":[63],"desired":[64],"probability":[66],"values":[67],"provided.":[69],"Then":[70],"an":[71],"algorithm":[72],"developed":[74],"and":[75],"demonstrated":[76],"warping":[78],"net":[80],"discriminants":[81],"into":[82],"probabilities.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":24},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}