{"id":"https://openalex.org/W2945421175","doi":"https://doi.org/10.1109/lsp.2019.2918485","title":"Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification","display_name":"Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification","publication_year":2019,"publication_date":"2019-05-22","ids":{"openalex":"https://openalex.org/W2945421175","doi":"https://doi.org/10.1109/lsp.2019.2918485","mag":"2945421175"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2918485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2918485","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5040086890","display_name":"Amin Zollanvari","orcid":"https://orcid.org/0000-0002-9172-8413"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Amin Zollanvari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-9172-8413","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043205807","display_name":"Muratkhan Abdirash","orcid":"https://orcid.org/0000-0001-9587-4031"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Muratkhan Abdirash","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-9587-4031","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009694144","display_name":"Aresh Dadlani","orcid":"https://orcid.org/0000-0001-6841-9682"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Aresh Dadlani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-6841-9682","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041371940","display_name":"Berdakh Abibullaev","orcid":"https://orcid.org/0000-0002-8623-5526"},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Berdakh Abibullaev","raw_affiliation_strings":["Department of Robotics and Mechatronics, Nazarbayev University, Astana, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-8623-5526","affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics, Nazarbayev University, Astana, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.2978,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58770361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"9","first_page":"1300","last_page":"1304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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":0.9962000250816345,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9821000099182129,"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":0.7679443359375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6384254693984985},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.5954911708831787},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5842797756195068},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.581355094909668},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5019104480743408},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4772750735282898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4680841565132141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45890846848487854},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4522167444229126},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4478687047958374},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4375545382499695},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.431304395198822},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.42578965425491333},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.41043803095817566},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3955315351486206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3056679964065552},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1112859845161438}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7679443359375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6384254693984985},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.5954911708831787},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5842797756195068},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.581355094909668},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5019104480743408},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4772750735282898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4680841565132141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45890846848487854},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4522167444229126},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4478687047958374},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4375545382499695},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.431304395198822},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.42578965425491333},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.41043803095817566},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3955315351486206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3056679964065552},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1112859845161438},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2918485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2918485","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W154677192","https://openalex.org/W174540427","https://openalex.org/W570975484","https://openalex.org/W1509561252","https://openalex.org/W1610928686","https://openalex.org/W1970181232","https://openalex.org/W1987857273","https://openalex.org/W2001619934","https://openalex.org/W2006823017","https://openalex.org/W2012352340","https://openalex.org/W2014725748","https://openalex.org/W2018186689","https://openalex.org/W2043905980","https://openalex.org/W2045654603","https://openalex.org/W2046649434","https://openalex.org/W2047028564","https://openalex.org/W2057658881","https://openalex.org/W2058732827","https://openalex.org/W2065175896","https://openalex.org/W2069480717","https://openalex.org/W2087373775","https://openalex.org/W2103614420","https://openalex.org/W2111539174","https://openalex.org/W2114986399","https://openalex.org/W2118978333","https://openalex.org/W2143423446","https://openalex.org/W2150073804","https://openalex.org/W2162054425","https://openalex.org/W2162799200","https://openalex.org/W2166162270","https://openalex.org/W2283261113","https://openalex.org/W2504724698","https://openalex.org/W2753635250","https://openalex.org/W2762471879","https://openalex.org/W3102762745","https://openalex.org/W4238240379","https://openalex.org/W4243997607","https://openalex.org/W4244494905","https://openalex.org/W4252355305","https://openalex.org/W4255455317","https://openalex.org/W6695888583","https://openalex.org/W6743659993"],"related_works":["https://openalex.org/W2068218029","https://openalex.org/W1984472287","https://openalex.org/W1963649114","https://openalex.org/W2348715601","https://openalex.org/W1978302214","https://openalex.org/W2162393942","https://openalex.org/W2025089370","https://openalex.org/W3147024994","https://openalex.org/W2371177901","https://openalex.org/W2321869780"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"the":[3,26,33,36,60],"theory":[4],"of":[5,8,17,35,41,69,77],"random":[6],"matrices":[7],"increasing":[9],"dimension":[10],"is":[11],"used":[12],"to":[13,32],"construct":[14],"a":[15,71,75],"form":[16],"regularized":[18],"linear":[19],"discriminant":[20,37],"analysis":[21],"(RLDA)":[22],"that":[23,55],"asymptotically":[24],"yields":[25],"lowest":[27],"overall":[28],"risk":[29,73],"with":[30],"respect":[31],"bias":[34],"in":[38,57,67],"cost-sensitive":[39],"classification":[40],"two":[42],"multivariate":[43],"Gaussian":[44],"distributions.":[45],"Numerical":[46],"experiments":[47],"using":[48],"both":[49],"synthetic":[50],"and":[51,80],"real":[52],"data":[53],"show":[54],"even":[56],"finite-sample":[58],"settings,":[59],"proposed":[61],"classifier":[62],"can":[63],"uniformly":[64],"outperform":[65],"RLDA":[66],"terms":[68],"achieving":[70],"lower":[72],"as":[74],"function":[76],"regularization":[78],"parameter":[79],"misclassification":[81],"costs.":[82]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}