{"id":"https://openalex.org/W1983745395","doi":"https://doi.org/10.1007/s00521-013-1424-9","title":"An efficient KPCA algorithm based on feature correlation evaluation","display_name":"An efficient KPCA algorithm based on feature correlation evaluation","publication_year":2013,"publication_date":"2013-05-07","ids":{"openalex":"https://openalex.org/W1983745395","doi":"https://doi.org/10.1007/s00521-013-1424-9","mag":"1983745395"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-013-1424-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-013-1424-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5051290981","display_name":"Zizhu Fan","orcid":"https://orcid.org/0000-0001-5354-4827"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zizhu Fan","raw_affiliation_strings":["School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449060","display_name":"Jinghua Wang","orcid":"https://orcid.org/0000-0003-1821-2362"},"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":"Jinghua Wang","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593763","display_name":"Baogen Xu","orcid":"https://orcid.org/0000-0002-9624-5728"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baogen Xu","raw_affiliation_strings":["School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001889053","display_name":"Tang Peng-zhi","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengzhi Tang","raw_affiliation_strings":["School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Basic Science, East China Jiaotong University, Nanchang, China 330013#TAB#","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051290981"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.272,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.57109582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"7-8","first_page":"1795","last_page":"1806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9926000237464905,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7629815340042114},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7047011852264404},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5853092670440674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5849196314811707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5624231696128845},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.55506831407547},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5401891469955444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319424271583557},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4921557307243347},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4655839502811432},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4612390697002411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34874868392944336},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.29902544617652893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2860613465309143},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2859203517436981}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7629815340042114},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7047011852264404},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5853092670440674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5849196314811707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5624231696128845},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.55506831407547},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5401891469955444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319424271583557},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4921557307243347},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4655839502811432},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4612390697002411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34874868392944336},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.29902544617652893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2860613465309143},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2859203517436981},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-013-1424-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-013-1424-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1541521713","https://openalex.org/W1963979070","https://openalex.org/W1977888156","https://openalex.org/W1982606067","https://openalex.org/W1986982173","https://openalex.org/W1993049083","https://openalex.org/W1998640076","https://openalex.org/W2000284598","https://openalex.org/W2002870962","https://openalex.org/W2004010576","https://openalex.org/W2008402696","https://openalex.org/W2018051311","https://openalex.org/W2020502398","https://openalex.org/W2053290137","https://openalex.org/W2062988009","https://openalex.org/W2067431170","https://openalex.org/W2075241504","https://openalex.org/W2082213279","https://openalex.org/W2083798553","https://openalex.org/W2087347434","https://openalex.org/W2088032561","https://openalex.org/W2090239453","https://openalex.org/W2093923460","https://openalex.org/W2097004253","https://openalex.org/W2100233488","https://openalex.org/W2102544846","https://openalex.org/W2104287253","https://openalex.org/W2105732805","https://openalex.org/W2108995755","https://openalex.org/W2110627953","https://openalex.org/W2128633998","https://openalex.org/W2129812935","https://openalex.org/W2138451337","https://openalex.org/W2140095548","https://openalex.org/W2142304170","https://openalex.org/W2150590096","https://openalex.org/W2150638158","https://openalex.org/W2153557925","https://openalex.org/W2156909104","https://openalex.org/W2169945149","https://openalex.org/W2171937595","https://openalex.org/W2183447438","https://openalex.org/W3144858519","https://openalex.org/W3151922143","https://openalex.org/W4230674625","https://openalex.org/W4244165801"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W2944973397","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W2139392257","https://openalex.org/W4285789115"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
