{"id":"https://openalex.org/W1978786559","doi":"https://doi.org/10.1145/1183614.1183691","title":"Efficient model selection for regularized linear discriminant analysis","display_name":"Efficient model selection for regularized linear discriminant analysis","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1978786559","doi":"https://doi.org/10.1145/1183614.1183691","mag":"1978786559"},"language":"en","primary_location":{"id":"doi:10.1145/1183614.1183691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","raw_type":"proceedings-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/A5010419481","display_name":"Jieping Ye","orcid":"https://orcid.org/0000-0001-8662-5818"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jieping Ye","raw_affiliation_strings":["Arizona State University, Tempe AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439585","display_name":"Tao Xiong","orcid":"https://orcid.org/0000-0003-1583-8669"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Xiong","raw_affiliation_strings":["University of Minnesota , Minneapolis, Mn"],"affiliations":[{"raw_affiliation_string":"University of Minnesota , Minneapolis, Mn","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108616991","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-7905-2860"},"institutions":[{"id":"https://openalex.org/I94339441","display_name":"Western Kentucky University","ror":"https://ror.org/0446vnd56","country_code":"US","type":"education","lineage":["https://openalex.org/I94339441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["Western Kentucky Univ., Bowling Green KY"],"affiliations":[{"raw_affiliation_string":"Western Kentucky Univ., Bowling Green KY","institution_ids":["https://openalex.org/I94339441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050894676","display_name":"Ravi Janardan","orcid":"https://orcid.org/0000-0003-3922-6763"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Janardan","raw_affiliation_strings":["University of Minnesota , Minneapolis, Mn"],"affiliations":[{"raw_affiliation_string":"University of Minnesota , Minneapolis, Mn","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051393532","display_name":"Jinbo Bi","orcid":"https://orcid.org/0000-0001-6996-4092"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jinbo Bi","raw_affiliation_strings":["Siemens Medical Solutions, Inc. Malvern, PA#TAB#"],"affiliations":[{"raw_affiliation_string":"Siemens Medical Solutions, Inc. Malvern, PA#TAB#","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051555620","display_name":"Vladimir Cherkassky","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Cherkassky","raw_affiliation_strings":["University of Minnesota , Minneapolis, Mn"],"affiliations":[{"raw_affiliation_string":"University of Minnesota , Minneapolis, Mn","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076482730","display_name":"Chandra Kambhamettu","orcid":"https://orcid.org/0000-0001-5306-3994"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandra Kambhamettu","raw_affiliation_strings":["University of Delaware; Newark DE"],"affiliations":[{"raw_affiliation_string":"University of Delaware; Newark DE","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010419481"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":3.4772,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.92912173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"532","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9839000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7222952246665955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5657587051391602},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5451440811157227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123856663703918},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.46715325117111206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4585433304309845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.337094247341156}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7222952246665955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5657587051391602},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5451440811157227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123856663703918},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.46715325117111206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4585433304309845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.337094247341156}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1183614.1183691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183614.1183691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Information and knowledge management  - CIKM '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.88.1667","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.1667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rpi.edu/~bij2/doc/fp158-ye.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W20027422","https://openalex.org/W42998563","https://openalex.org/W92269582","https://openalex.org/W1554944419","https://openalex.org/W1560724230","https://openalex.org/W1563088657","https://openalex.org/W1770825568","https://openalex.org/W1966701961","https://openalex.org/W2001619934","https://openalex.org/W2009596443","https://openalex.org/W2021470860","https://openalex.org/W2032052034","https://openalex.org/W2041657594","https://openalex.org/W2046649434","https://openalex.org/W2052730000","https://openalex.org/W2089322632","https://openalex.org/W2099841076","https://openalex.org/W2121647436","https://openalex.org/W2133958955","https://openalex.org/W2134208464","https://openalex.org/W2137476312","https://openalex.org/W2138218344","https://openalex.org/W2143304877","https://openalex.org/W2146766088","https://openalex.org/W2148603752","https://openalex.org/W2150796457","https://openalex.org/W2156909104","https://openalex.org/W2163406054","https://openalex.org/W2798909945"],"related_works":["https://openalex.org/W1999647744","https://openalex.org/W2134569917","https://openalex.org/W2156856390","https://openalex.org/W2359610551","https://openalex.org/W4252601687","https://openalex.org/W1997215353","https://openalex.org/W2348118927","https://openalex.org/W2137772040","https://openalex.org/W1975569673","https://openalex.org/W2038099157"],"abstract_inverted_index":{"Classical":[0],"Linear":[1],"Discriminant":[2],"Analysis":[3],"(LDA)":[4],"is":[5,40,60,67],"not":[6],"applicable":[7],"for":[8,65,76,102,117],"small":[9,92],"sample":[10],"size":[11],"problems":[12],"due":[13],"to":[14,29],"the":[15,18,31,57,71,85],"singularity":[16,32],"of":[17,48,74,80,94],"scatter":[19],"matrices":[20],"involved.":[21],"Regularized":[22],"LDA":[23,111],"(RLDA)":[24],"provides":[25],"a":[26,36,46,77,91],"simple":[27],"strategy":[28],"overcome":[30],"problem":[33],"by":[34],"applying":[35],"regularization":[37],"term,":[38],"which":[39,113],"commonly":[41],"estimated":[42],"via":[43],"cross-validation":[44,51],"from":[45],"set":[47,59,79],"candidates.":[49],"However,":[50],"may":[52],"be":[53],"computationally":[54],"prohibitive":[55],"when":[56],"candidate":[58],"large.":[61],"An":[62,104],"efficient":[63,99],"algorithm":[64],"RLDA":[66,75,90,108],"presented":[68],"that":[69],"computes":[70],"optimal":[72],"transformation":[73],"large":[78],"parameter":[81],"candidates,":[82],"with":[83],"approximately":[84],"same":[86],"cost":[87],"as":[88],"running":[89],"number":[93],"times.":[95],"Thus":[96],"it":[97],"facilitates":[98],"model":[100],"selection":[101],"RLDA.":[103],"intrinsic":[105],"relationship":[106],"between":[107],"and":[109],"Uncorrelated":[110],"(ULDA),":[112],"was":[114],"recently":[115],"proposed":[116],"dimension":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
