{"id":"https://openalex.org/W2902075276","doi":"https://doi.org/10.1109/access.2018.2883527","title":"A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition","display_name":"A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2902075276","doi":"https://doi.org/10.1109/access.2018.2883527","mag":"2902075276"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2883527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883527","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2883527","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042645332","display_name":"Jianping Gou","orcid":"https://orcid.org/0000-0003-1413-0693"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianping Gou","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025684575","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-3860-5139"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073535763","display_name":"Jiancheng Lv","orcid":"https://orcid.org/0000-0001-6551-3884"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Lv","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068470372","display_name":"Qirong Mao","orcid":"https://orcid.org/0000-0002-0616-4431"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirong Mao","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055757510","display_name":"Yunhao Yuan","orcid":"https://orcid.org/0000-0003-3712-443X"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun-Hao Yuan","raw_affiliation_strings":["College of Information Engineering, Yangzhou University, Yangzhou, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042645332"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3402,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91900457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"74713","last_page":"74727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9904000163078308,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9810000061988831,"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/discriminative-model","display_name":"Discriminative model","score":0.7577497363090515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7320860028266907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7015074491500854},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6824164390563965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348769664764404},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5858598351478577},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4853164553642273},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.45843300223350525},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.4443851113319397},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4280596971511841},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4208076000213623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35149842500686646}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7577497363090515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320860028266907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7015074491500854},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6824164390563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348769664764404},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5858598351478577},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4853164553642273},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.45843300223350525},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.4443851113319397},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4280596971511841},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4208076000213623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35149842500686646},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2883527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883527","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41b7adcefc824f98b7d6ccfb5fa0ea94","is_oa":true,"landing_page_url":"https://doaj.org/article/41b7adcefc824f98b7d6ccfb5fa0ea94","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 74713-74727 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2883527","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2883527","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1198507774","display_name":null,"funder_award_id":"61502208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4389376222","display_name":null,"funder_award_id":"2015M570411","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6231070506","display_name":null,"funder_award_id":"14JDG037","funder_id":"https://openalex.org/F4320321410","funder_display_name":"Jiangsu University"},{"id":"https://openalex.org/G8194620152","display_name":null,"funder_award_id":"BK20150522","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W947796356","https://openalex.org/W1672851775","https://openalex.org/W1982405594","https://openalex.org/W1989243451","https://openalex.org/W1996675432","https://openalex.org/W1999508454","https://openalex.org/W2010099812","https://openalex.org/W2030754587","https://openalex.org/W2042693659","https://openalex.org/W2053186076","https://openalex.org/W2054644753","https://openalex.org/W2070127246","https://openalex.org/W2073578547","https://openalex.org/W2083436148","https://openalex.org/W2086471560","https://openalex.org/W2092855714","https://openalex.org/W2108024382","https://openalex.org/W2129812935","https://openalex.org/W2130187411","https://openalex.org/W2132467081","https://openalex.org/W2141607429","https://openalex.org/W2163922914","https://openalex.org/W2168745297","https://openalex.org/W2207409364","https://openalex.org/W2294941227","https://openalex.org/W2331181944","https://openalex.org/W2335607901","https://openalex.org/W2343962831","https://openalex.org/W2471678645","https://openalex.org/W2474352580","https://openalex.org/W2520113960","https://openalex.org/W2524815318","https://openalex.org/W2558531213","https://openalex.org/W2599211034","https://openalex.org/W2607103028","https://openalex.org/W2618368762","https://openalex.org/W2739260663","https://openalex.org/W2749562774","https://openalex.org/W2751739391","https://openalex.org/W2756161967","https://openalex.org/W2756807093","https://openalex.org/W2773972825","https://openalex.org/W2779447882","https://openalex.org/W2803386666","https://openalex.org/W2811388047"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W3131016912"],"abstract_inverted_index":{"As":[0],"the":[1,24,35,48,53,59,64,76,86,125,128,145,149,159,170,192,207,216],"representative":[2,141],"one":[3],"of":[4,34,39,51,71,80,130,135,144,161],"representation-based":[5,26,66,218],"classification":[6,37,95,189,212,219],"(RBC)":[7],"methods,":[8],"collaborative":[9,25,107,133],"RBC":[10],"(CRC)":[11],"has":[12,29,90],"drawn":[13],"much":[14],"attention":[15],"in":[16,178],"pattern":[17],"recognition":[18,28,114],"and":[19,56,78,82,121,176],"machine":[20],"learning":[21],"recently.":[22],"Moreover,":[23,148],"face":[27,99,113,179,203],"been":[30],"extensively":[31],"studied":[32],"because":[33],"effective":[36],"performance":[38],"CRC.":[40],"CRC":[41,72],"collaboratively":[42],"represents":[43],"each":[44,136,162,165],"query":[45,60,137,146,166],"sample":[46,61,138],"as":[47,98,174],"linear":[49],"combination":[50],"all":[52],"training":[54],"samples":[55,143],"then":[57],"classifies":[58],"according":[62],"to":[63,139,169,215],"categorical":[65],"distances.":[67],"However,":[68],"most":[69],"variants":[70],"cannot":[73,83],"fully":[74],"consider":[75],"locality":[77,129],"discrimination":[79,120,151],"data":[81,122,131],"well":[84],"handle":[85],"noise":[87],"data,":[88],"which":[89],"negative":[91],"effect":[92],"on":[93,202],"real-world":[94],"problems,":[96],"such":[97,173],"recognition.":[100],"In":[101,124],"this":[102],"paper,":[103],"a":[104],"new":[105],"discriminative":[106],"neighbor":[108],"representation":[109,134,160,198],"(DCNR)":[110],"method":[111],"for":[112,164,187],"is":[115,153],"proposed":[116,126,208],"by":[117,157,190],"integrating":[118],"class":[119,150,163],"locality.":[123],"method,":[127],"constrains":[132],"find":[140],"nearest":[142],"sample.":[147,167],"regularization":[152],"taken":[154],"into":[155],"account":[156],"employing":[158],"Due":[168],"existing":[171],"noises,":[172],"corruptions":[175],"occlusions":[177],"recognition,":[180],"we":[181],"further":[182],"propose":[183],"robust":[184,188],"DCNR":[185],"(R-DCNR)":[186],"using":[191],"\u2113":[193],"<sub":[194],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[195],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[196],"-norm":[197],"fidelity.":[199],"Extensive":[200],"experiments":[201],"databases":[204],"demonstrate":[205],"that":[206],"methods":[209],"achieve":[210],"competitive":[211],"performance,":[213],"compared":[214],"state-of-the-art":[217],"methods.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}