{"id":"https://openalex.org/W2097251644","doi":"https://doi.org/10.1109/robio.2007.4522434","title":"A novel face recognition method based on Principal Component Analysis and Kernel Partial Least Squares","display_name":"A novel face recognition method based on Principal Component Analysis and Kernel Partial Least Squares","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2097251644","doi":"https://doi.org/10.1109/robio.2007.4522434","mag":"2097251644"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2007.4522434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2007.4522434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5100656474","display_name":"Xiujuan Li","orcid":"https://orcid.org/0000-0002-4972-3088"},"institutions":[{"id":"https://openalex.org/I36152291","display_name":"Henan University of Technology","ror":"https://ror.org/05sbgwt55","country_code":"CN","type":"education","lineage":["https://openalex.org/I36152291"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Li","raw_affiliation_strings":["School of Electrical Engineering, Henan University of Technology, Zhengzhou, Henan, China","Sch. of Electr. Eng., Henan Univ. of Technol., Zhengzhou"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Henan University of Technology, Zhengzhou, Henan, China","institution_ids":["https://openalex.org/I36152291"]},{"raw_affiliation_string":"Sch. of Electr. Eng., Henan Univ. of Technol., Zhengzhou","institution_ids":["https://openalex.org/I36152291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059828502","display_name":"Jie Ma","orcid":"https://orcid.org/0000-0001-7957-4274"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ma","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","[College of electrical & Information Engineering, Hunan University, Changsha, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[College of electrical & Information Engineering, Hunan University, Changsha, China]","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","[College of electrical & Information Engineering, Hunan University, Changsha, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"[College of electrical & Information Engineering, Hunan University, Changsha, China]","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.329,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63083473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1773","last_page":"1777"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9599999785423279,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8429207801818848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7927398681640625},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7683229446411133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7329667806625366},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6783496141433716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6781437993049622},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6588842868804932},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6564133167266846},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6290667653083801},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6280636787414551},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.582282543182373},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4433090388774872},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43476033210754395},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.37954163551330566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26376014947891235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2387160062789917}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8429207801818848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7927398681640625},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7683229446411133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329667806625366},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6783496141433716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781437993049622},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6588842868804932},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6564133167266846},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6290667653083801},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6280636787414551},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.582282543182373},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4433090388774872},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43476033210754395},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.37954163551330566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26376014947891235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2387160062789917},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2007.4522434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2007.4522434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W807996015","https://openalex.org/W2012352340","https://openalex.org/W2076305001","https://openalex.org/W2104606180","https://openalex.org/W2108767394","https://openalex.org/W2111206974","https://openalex.org/W2121647436","https://openalex.org/W2138451337","https://openalex.org/W2139212933","https://openalex.org/W2151920571","https://openalex.org/W2160291811","https://openalex.org/W2160536163","https://openalex.org/W2172000360","https://openalex.org/W4241425781","https://openalex.org/W6623034183","https://openalex.org/W6675436802","https://openalex.org/W6676602738","https://openalex.org/W6683707351"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2374314036","https://openalex.org/W2001772920","https://openalex.org/W2393746448","https://openalex.org/W2103894516","https://openalex.org/W2905418897","https://openalex.org/W2534878021","https://openalex.org/W2398887903","https://openalex.org/W52853670"],"abstract_inverted_index":{"The":[0,82],"automatic":[1],"recognition":[2,13],"of":[3,49,61],"human":[4],"face":[5,22,90],"presents":[6],"a":[7,18,66],"significant":[8],"challenge":[9],"to":[10],"the":[11,43,50,59,94],"pattern":[12],"research":[14],"community":[15],"recently.":[16],"As":[17],"traditional":[19],"method":[20,70,96],"for":[21,58],"recognition,":[23],"principal":[24],"component":[25],"analysis":[26],"(PCA)":[27],"may":[28],"neglect":[29],"differentia.":[30],"Since":[31],"kernel":[32],"partial":[33],"least":[34],"squares":[35],"(KPLS)":[36],"creates":[37],"orthogonal":[38],"score":[39],"vectors":[40],"by":[41],"using":[42,71,77],"existing":[44],"correlations":[45],"and":[46,73,75,88],"keeps":[47],"most":[48],"variance":[51],"between":[52],"different":[53],"classes,":[54],"it":[55],"can":[56],"compensate":[57],"defects":[60],"PCA.":[62],"This":[63],"paper":[64],"proposes":[65],"novel":[67],"feature":[68],"extraction":[69],"PCA":[72],"KPLS":[74],"classification":[76,99],"support":[78],"vector":[79],"machine":[80],"(SVM).":[81],"experimental":[83],"results":[84],"based":[85],"on":[86],"ORL":[87],"Yale":[89],"database":[91],"prove":[92],"that":[93],"proposed":[95],"has":[97],"excellent":[98],"performance.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
