{"id":"https://openalex.org/W2011433305","doi":"https://doi.org/10.1109/acpr.2011.6166659","title":"Class-imbalance learning based discriminant analysis","display_name":"Class-imbalance learning based discriminant analysis","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2011433305","doi":"https://doi.org/10.1109/acpr.2011.6166659","mag":"2011433305"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5080227641","display_name":"Xiaoyuan Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyuan Jing","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","State Key Laboratory of Software Engineering, Wuhan University of China, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"State Key Laboratory of Software Engineering, Wuhan University of China, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023655697","display_name":"Chao Lan","orcid":"https://orcid.org/0000-0003-2526-7206"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Lan","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057226230","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-2959-9147"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013382930","display_name":"Yongfang Yao","orcid":"https://orcid.org/0000-0001-6455-1213"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfang Yao","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063288559","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0002-7521-7920"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["College of Computer Science, Nanjing University of Science and Technology of PLA, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Nanjing University of Science and Technology of PLA, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080227641"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I41198531","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71284206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"545","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9976999759674072,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9976999759674072,"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":0.9821000099182129,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9751999974250793,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7581691741943359},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7357749342918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7300783395767212},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6927503943443298},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5777936577796936},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5726761221885681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707634091377258},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5313556790351868},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5054676532745361},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48038727045059204},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42545604705810547},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4180125594139099},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3965916037559509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3619796931743622},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.27148911356925964}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7581691741943359},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7357749342918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7300783395767212},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6927503943443298},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5777936577796936},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5726761221885681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707634091377258},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5313556790351868},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5054676532745361},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48038727045059204},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42545604705810547},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4180125594139099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3965916037559509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3619796931743622},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27148911356925964},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acpr.2011.6166659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/18885","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/18885","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1941659294","https://openalex.org/W1971747485","https://openalex.org/W2025120896","https://openalex.org/W2054639298","https://openalex.org/W2098693229","https://openalex.org/W2099550922","https://openalex.org/W2104167780","https://openalex.org/W2109531142","https://openalex.org/W2112074816","https://openalex.org/W2117553576","https://openalex.org/W2118978333","https://openalex.org/W2121647436","https://openalex.org/W2123977795","https://openalex.org/W2142713577","https://openalex.org/W2157418942","https://openalex.org/W2214725774","https://openalex.org/W2382371238","https://openalex.org/W3014771378","https://openalex.org/W6664464457","https://openalex.org/W6676189307","https://openalex.org/W7027292892"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,23,201],"is":[2,42,63,148,159],"an":[3],"important":[4],"research":[5],"topic":[6],"in":[7,81],"the":[8,39,43,47,53,74,119,135,139,151,177,193],"field":[9],"of":[10,51,121,132],"pattern":[11],"recognition.":[12],"The":[13],"class-specific":[14],"idea":[15],"tends":[16],"to":[17,89,118,142,163],"recast":[18],"a":[19,105,110],"traditional":[20],"multi-class":[21],"feature":[22,200],"and":[24,32,46,66,100,124,154,202],"recognition":[25,75,203],"task":[26],"into":[27,128],"several":[28,197],"binary":[29,60],"class":[30,35,41,49,61,113],"problems,":[31,80],"therefore":[33],"inevitably":[34],"imbalance":[36],"problem,":[37],"where":[38],"minority":[40,152],"specific":[44,106,122,140],"class,":[45,107,123,141,153],"majority":[48],"consists":[50],"all":[52],"other":[54],"classes.":[55,183],"However,":[56],"discriminative":[57,165],"information":[58],"from":[59,93],"problems":[62],"usually":[64],"limited,":[65],"imbalanced":[67,94],"data":[68,115,120],"may":[69],"have":[70],"negative":[71],"effect":[72],"on":[73,161,176,186],"performance.":[76],"For":[77,104],"solving":[78],"these":[79],"this":[82],"paper,":[83],"we":[84,108,172],"propose":[85],"two":[86],"novel":[87],"approaches":[88,195],"learn":[90],"discriminant":[91,156,179],"features":[92],"data,":[95],"named":[96],"class-balanced":[97],"discrimination":[98],"(CBD)":[99],"orthogonal":[101,174],"CBD":[102],"(OCBD).":[103],"select":[109],"reduced":[111],"counterpart":[112],"whose":[114],"are":[116],"nearest":[117],"further":[125,168],"divide":[126],"them":[127,162],"smaller":[129],"subsets,":[130],"each":[131,146],"which":[133],"has":[134],"same":[136],"size":[137],"as":[138],"achieve":[143],"balance.":[144],"Then,":[145],"subset":[147],"combined":[149],"with":[150],"linear":[155],"analysis":[157],"(LDA)":[158],"performed":[160],"extract":[164],"vectors.":[166],"To":[167],"remove":[169],"redundant":[170],"information,":[171],"impose":[173],"constraint":[175],"extracted":[178],"vectors":[180],"among":[181],"correlated":[182],"Experimental":[184],"results":[185],"three":[187],"public":[188],"image":[189,199],"databases":[190],"demonstrate":[191],"that":[192],"proposed":[194],"outperform":[196],"related":[198],"methods.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
