{"id":"https://openalex.org/W2026910277","doi":"https://doi.org/10.1109/icnc.2013.6817945","title":"Training data reduction and nonlinear feature extraction in classification based on greedy Generalized Discriminant Analysis","display_name":"Training data reduction and nonlinear feature extraction in classification based on greedy Generalized Discriminant Analysis","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2026910277","doi":"https://doi.org/10.1109/icnc.2013.6817945","mag":"2026910277"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2013.6817945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6817945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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/A5005471572","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0003-3549-9318"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Yang","raw_affiliation_strings":["School of Economics and Management, Sichuan University of Science and Engineering, Zigong, China","School of Economics and Management Sichuan University of Science and Engineering Zigong, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"School of Economics and Management Sichuan University of Science and Engineering Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100689560","display_name":"Xiaofang Liu","orcid":"https://orcid.org/0000-0001-7644-5979"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Liu","raw_affiliation_strings":["School of Computer Science, Sichuan University of Science and Engineering, Zigong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University of Science and Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005471572"],"corresponding_institution_ids":["https://openalex.org/I64852412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09892685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9954000115394592,"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":0.9954000115394592,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9797999858856201,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9699000120162964,"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/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.7315630316734314},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7170300483703613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6621377468109131},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6461009383201599},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6083934307098389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566241145133972},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5438246726989746},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5378830432891846},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5038790106773376},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.501713752746582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4913739264011383},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.47082096338272095},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.45158112049102783},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.44576725363731384},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.43334463238716125},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4321310222148895},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.42570945620536804},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4197666645050049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3970896899700165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29333391785621643},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14389890432357788}],"concepts":[{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.7315630316734314},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7170300483703613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6621377468109131},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6461009383201599},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6083934307098389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566241145133972},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5438246726989746},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5378830432891846},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5038790106773376},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.501713752746582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4913739264011383},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.47082096338272095},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.45158112049102783},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.44576725363731384},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.43334463238716125},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4321310222148895},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.42570945620536804},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4197666645050049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3970896899700165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29333391785621643},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14389890432357788},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2013.6817945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6817945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1995450389","https://openalex.org/W1996747841","https://openalex.org/W2017445500","https://openalex.org/W2041657594","https://openalex.org/W2046778278","https://openalex.org/W2053677366","https://openalex.org/W2098678387","https://openalex.org/W2099695316","https://openalex.org/W2140095548","https://openalex.org/W2187736301","https://openalex.org/W2370450186","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W1984472287","https://openalex.org/W2068218029","https://openalex.org/W2162393942","https://openalex.org/W1963649114","https://openalex.org/W2348715601","https://openalex.org/W1978302214","https://openalex.org/W2025089370","https://openalex.org/W3147024994","https://openalex.org/W2371177901","https://openalex.org/W2321869780"],"abstract_inverted_index":{"Generalized":[0,57],"Discriminant":[1,58],"Analysis":[2,59],"(GDA)":[3],"shows":[4],"a":[5,49],"powerful":[6],"nonlinear":[7,52,68],"feature":[8,53,69],"extraction":[9,54,70],"technique":[10],"by":[11],"kernel":[12,18,46],"tricks.":[13],"The":[14,73],"size":[15],"of":[16,25,38,45,96],"its":[17],"matrix":[19],"increases":[20],"quadratically":[21],"with":[22],"the":[23,78,86,94,97],"number":[24],"training":[26,30,64,88],"data.":[27],"For":[28],"large":[29,42],"data":[31,65],"set,":[32],"it":[33],"suffers":[34],"from":[35],"computational":[36,82],"problem":[37],"diagonal":[39],"and":[40,67],"occupies":[41],"storage":[43],"space":[44],"matrix.":[47],"Here,":[48],"more":[50],"efficient":[51],"method,":[55],"Greedy":[56],"(GGDA)":[60],"is":[61],"presented":[62],"to":[63,85],"reduction":[66],"in":[71,90],"classification.":[72],"simulation":[74],"results":[75],"indicate":[76],"that":[77],"GGDA":[79],"method":[80],"reduces":[81],"complexity":[83],"due":[84],"reduced":[87],"set":[89],"classification":[91],"while":[92],"retaining":[93],"performance":[95],"GDA":[98],"method.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
