{"id":"https://openalex.org/W2753798901","doi":"https://doi.org/10.1109/icme.2017.8019471","title":"Face recognition via weighted sparse representation using metric learning","display_name":"Face recognition via weighted sparse representation using metric learning","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753798901","doi":"https://doi.org/10.1109/icme.2017.8019471","mag":"2753798901"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103979188","display_name":"Zongqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqing Lu","raw_affiliation_strings":["Department of Electronics Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015736418","display_name":"Bokun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bokun Xu","raw_affiliation_strings":["Department of Electronics Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367554","display_name":"Nan Liu","orcid":"https://orcid.org/0000-0003-3610-4883"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Liu","raw_affiliation_strings":["Department of Electronics Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Department of Electronics Engineering, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"290","issue":null,"first_page":"391","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9968000054359436,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9927999973297119,"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/large-margin-nearest-neighbor","display_name":"Large margin nearest neighbor","score":0.7026504278182983},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.690352201461792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6421916484832764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6155679821968079},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6079337000846863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5666326284408569},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5589872598648071},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5216484665870667},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.48768651485443115},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4873529374599457},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4700578451156616},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4445734918117523},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4107484221458435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3464452028274536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30976951122283936}],"concepts":[{"id":"https://openalex.org/C94475309","wikidata":"https://www.wikidata.org/wiki/Q6489154","display_name":"Large margin nearest neighbor","level":3,"score":0.7026504278182983},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.690352201461792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6421916484832764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6155679821968079},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6079337000846863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5666326284408569},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5589872598648071},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5216484665870667},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.48768651485443115},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4873529374599457},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4700578451156616},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4445734918117523},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4107484221458435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3464452028274536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30976951122283936},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2017.8019471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","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":27,"referenced_works":["https://openalex.org/W1808256548","https://openalex.org/W2003217181","https://openalex.org/W2027922120","https://openalex.org/W2035746673","https://openalex.org/W2053186076","https://openalex.org/W2054644753","https://openalex.org/W2082855665","https://openalex.org/W2083436148","https://openalex.org/W2098693229","https://openalex.org/W2106053110","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2151155403","https://openalex.org/W2161516371","https://openalex.org/W2471678645","https://openalex.org/W2953139536","https://openalex.org/W2994340921","https://openalex.org/W6635552349","https://openalex.org/W6638482740","https://openalex.org/W6659319144","https://openalex.org/W6675751002","https://openalex.org/W6678757208","https://openalex.org/W6683660953"],"related_works":["https://openalex.org/W2015098463","https://openalex.org/W2353047565","https://openalex.org/W2015442739","https://openalex.org/W2351157934","https://openalex.org/W2519241726","https://openalex.org/W2108882154","https://openalex.org/W2107754327","https://openalex.org/W2802487487","https://openalex.org/W2354127086","https://openalex.org/W2391642054"],"abstract_inverted_index":{"Face":[0],"recognition":[1],"methods":[2,80,133],"utilizing":[3],"Sparse":[4,62],"Representation":[5,11,63,73],"based":[6,12,64,74],"Classification":[7,13,65,75],"(SRC)":[8],"and":[9,27,51,67,84,126,142],"Collaborative":[10,72],"(CRC)":[14],"have":[15],"recently":[16],"attracted":[17],"a":[18,42,58,68,88],"great":[19],"deal":[20],"of":[21],"attention":[22],"due":[23],"to":[24,49,95],"inherent":[25],"simplicity":[26],"efficiency.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"introduce":[33],"the":[34,54,97,102,115,121,127],"Large":[35],"Margin":[36],"Nearest":[37],"Neighbor":[38],"(LMNN),":[39],"which":[40],"learns":[41],"Mahalanobis":[43],"distance":[44,99],"metric":[45,100],"that":[46,105,131],"is":[47,94],"applied,":[48],"SRC":[50,140],"CRC":[52],"as":[53,101],"locality":[55,59,69,103],"constraint.":[56],"Next,":[57],"LMNN":[60,70],"Weighted":[61,71,139],"(LMNN-WSRC)":[66],"(LMNN-WCRC)":[76],"are":[77,134],"proposed.":[78],"Our":[79],"utilize":[81],"both":[82],"linearity":[83],"data":[85],"locality.":[86],"For":[87],"query":[89],"face":[90],"image,":[91],"our":[92,132],"target":[93],"exploit":[96],"appropriate":[98],"constraint":[104],"could":[106],"focus":[107],"more":[108,135],"on":[109,120],"those":[110],"truly":[111],"related":[112],"images":[113],"in":[114],"code":[116],"book.":[117],"Experimental":[118],"results":[119],"Extended":[122],"Yale":[123],"B":[124],"database":[125,129],"AR":[128],"show":[130],"effective":[136],"than":[137],"SRC,":[138],"(WSRC)":[141],"CRC.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}