{"id":"https://openalex.org/W2534242518","doi":"https://doi.org/10.1109/acpr.2011.6166662","title":"Supervised local sparsity preserving projection for face feature extraction","display_name":"Supervised local sparsity preserving projection for face feature extraction","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2534242518","doi":"https://doi.org/10.1109/acpr.2011.6166662","mag":"2534242518"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166662","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/A5029691902","display_name":"Xiao\u2010Yuan Jing","orcid":"https://orcid.org/0000-0002-0392-8475"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"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/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":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/A5100359839","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0003-1205-8632"},"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":"Sheng 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/A5101746227","display_name":"Songhao Zhu","orcid":"https://orcid.org/0000-0002-9891-5692"},"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":"Songhao Zhu","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/A5100318596","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0003-2067-8444"},"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":"Qian Liu","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/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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102246726","display_name":"Jiasen Lu","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiasen Lu","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029691902"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I41198531","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.33683035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"555","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9868999719619751,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9643999934196472,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7884674072265625},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.750773549079895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7474075555801392},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7046754360198975},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6838462352752686},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6460758447647095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460282802581787},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5529980063438416},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5477270483970642},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5391438603401184},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5305956602096558},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43788501620292664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13486376404762268}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7884674072265625},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.750773549079895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7474075555801392},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7046754360198975},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6838462352752686},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6460758447647095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460282802581787},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5529980063438416},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5477270483970642},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5391438603401184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5305956602096558},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43788501620292664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13486376404762268},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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:10.1109/acpr.2011.6166662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166662","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2036281283","https://openalex.org/W2053186076","https://openalex.org/W2070127246","https://openalex.org/W2096027770","https://openalex.org/W2111627380","https://openalex.org/W2117553576","https://openalex.org/W2120453412","https://openalex.org/W2121647436","https://openalex.org/W2126067108","https://openalex.org/W2129812935","https://openalex.org/W2130542426","https://openalex.org/W2132109309","https://openalex.org/W2994340921","https://openalex.org/W4231715695","https://openalex.org/W6678230916"],"related_works":["https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W200201533","https://openalex.org/W4171918","https://openalex.org/W1637798125","https://openalex.org/W2367926634","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2912726270","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"the":[1,13,16,23,58,71,85,98,105],"sparse":[2,60,93],"representation":[3],"of":[4,15,25,74,88,107],"a":[5,30,45,55,79],"target":[6,17,46],"sample,":[7],"most":[8],"nonzero":[9],"coefficients":[10],"belong":[11],"to":[12],"neighbors":[14],"sample.":[18],"Combining":[19],"this":[20],"observation":[21],"with":[22,113],"theory":[24],"manifold":[26],"learning,":[27],"we":[28,76],"propose":[29,78],"novel":[31],"unsupervised":[32],"feature":[33,115],"extraction":[34,116],"approach":[35],"named":[36],"local":[37,59,92],"sparsity":[38],"preserving":[39],"projection":[40],"(LSPP).":[41],"LSPP":[42,81,108],"sparsely":[43],"reconstructs":[44],"training":[47,65],"sample":[48],"from":[49],"merely":[50],"its":[51],"neighbors,":[52],"and":[53,100,109],"seeks":[54],"subspace":[56],"where":[57],"reconstructive":[61],"relations":[62],"among":[63],"all":[64],"samples":[66,90],"are":[67],"preserved.":[68],"To":[69],"improve":[70],"discriminating":[72],"power":[73],"LSPP,":[75],"further":[77],"supervised":[80],"(SLSPP),":[82],"which":[83],"incorporates":[84],"class":[86],"information":[87],"neighbor":[89],"into":[91],"representation.":[94],"Experimental":[95],"results":[96],"on":[97],"AR":[99],"CAS-PEAL":[101],"face":[102],"databases":[103],"demonstrate":[104],"effectiveness":[106],"SLSPP,":[110],"as":[111],"compared":[112],"related":[114],"methods.":[117]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}