{"id":"https://openalex.org/W2588077696","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852754","title":"Face recognition based on dictionary learning with the locality constraints of atoms","display_name":"Face recognition based on dictionary learning with the locality constraints of atoms","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588077696","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852754","mag":"2588077696"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5082787229","display_name":"Zhengming Li","orcid":"https://orcid.org/0000-0001-7330-8864"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengming Li","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409861","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-5764-9351"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","College of Software, Shenzhen Institute of Information Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"College of Software, Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082787229"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210122543","https://openalex.org/I4210144487"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60885764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.8693327903747559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572303771972656},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.62043297290802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587061882019043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5621584057807922},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.554449737071991},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5385282039642334},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5022633075714111},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4974046051502228},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4454854726791382},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4204115867614746},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4177599251270294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.38985753059387207},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3229712247848511},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3147459924221039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23614037036895752}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8693327903747559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572303771972656},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.62043297290802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587061882019043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5621584057807922},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.554449737071991},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5385282039642334},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5022633075714111},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4974046051502228},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4454854726791382},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4204115867614746},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4177599251270294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.38985753059387207},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3229712247848511},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3147459924221039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23614037036895752},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/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/cisp-bmei.2016.7852754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W131155259","https://openalex.org/W198330749","https://openalex.org/W1482998036","https://openalex.org/W1529297639","https://openalex.org/W1587263836","https://openalex.org/W1591385104","https://openalex.org/W1782590233","https://openalex.org/W1963932623","https://openalex.org/W1979920826","https://openalex.org/W1980912826","https://openalex.org/W1986611834","https://openalex.org/W2010099812","https://openalex.org/W2027541309","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2061615939","https://openalex.org/W2073578547","https://openalex.org/W2073614810","https://openalex.org/W2082161064","https://openalex.org/W2100549954","https://openalex.org/W2123921160","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2130187411","https://openalex.org/W2134563198","https://openalex.org/W2140245639","https://openalex.org/W2141607429","https://openalex.org/W2151408393","https://openalex.org/W2160547390","https://openalex.org/W2343962831","https://openalex.org/W2951085447","https://openalex.org/W2994340921","https://openalex.org/W6605330763","https://openalex.org/W6608120278","https://openalex.org/W6628684481","https://openalex.org/W6631489762","https://openalex.org/W6635388783","https://openalex.org/W6635552349","https://openalex.org/W6675164516","https://openalex.org/W6679809621","https://openalex.org/W6680757103"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2157785665","https://openalex.org/W2008821896","https://openalex.org/W2048023787","https://openalex.org/W3082420294","https://openalex.org/W2068941797"],"abstract_inverted_index":{"Previous":[0],"dictionary":[1,34,128,178],"learning":[2,16,35,129,179],"algorithms":[3],"usually":[4],"take":[5],"the":[6,15,22,25,43,51,56,64,72,86,97,110,119,131,141,148,152,162,168],"locality":[7,32,44,105,132,142],"information":[8],"of":[9,24,46,91,116,151,161],"training":[10,57,69,153],"samples":[11],"into":[12],"account":[13],"in":[14,127],"process,":[17],"and":[18,66,83,113,121,155,180],"it":[19,156],"may":[20],"degrade":[21],"robustness":[23],"dictionary.":[26,163],"In":[27,71],"this":[28],"paper,":[29],"an":[30],"new":[31],"constrained":[33],"algorithm":[36,170],"(LCDL)":[37],"for":[38],"face":[39],"recognition":[40],"by":[41,108],"using":[42,109],"characters":[45],"atoms":[47,52,77,122],"is":[48],"proposed.":[49],"Since":[50,118],"are":[53,60],"learned":[54],"from":[55],"samples,":[58,154],"they":[59],"more":[61,172],"robust":[62],"to":[63,78,95],"noise":[65],"outliers":[67],"than":[68,175],"samples.":[70],"LCDL":[73,169],"algorithm,":[74],"we":[75,102],"use":[76,85],"construct":[79,103],"a":[80,104],"Laplacian":[81,114],"graph,":[82],"then":[84],"profile":[87,111,120],"(the":[88],"row":[89],"vector":[90],"coding":[92,182],"coefficients":[93],"matrix)":[94],"measure":[96],"similarity":[98],"among":[99],"them.":[100],"Then,":[101],"constraint":[106,133,143],"term":[107,134,144],"matrix":[112],"graph":[115],"atoms.":[117],"can":[123,136,146,157],"be":[124,137],"adaptively":[125,138],"updated":[126],"processing,":[130],"also":[135,145],"updated.":[139],"Moreover,":[140],"inherit":[147],"geometrical":[149],"structure":[150],"enhance":[158],"discriminative":[159],"ability":[160],"Experiment":[164],"results":[165],"show":[166],"that":[167],"achieve":[171],"promising":[173],"performance":[174],"some":[176],"state-of-the-art":[177],"sparse":[181],"algorithms.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
