{"id":"https://openalex.org/W2035746673","doi":"https://doi.org/10.1109/cvpr.2012.6247977","title":"Sparse representation for face recognition based on discriminative low-rank dictionary learning","display_name":"Sparse representation for face recognition based on discriminative low-rank dictionary learning","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2035746673","doi":"https://doi.org/10.1109/cvpr.2012.6247977","mag":"2035746673"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and 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/A5048142743","display_name":"Long Ma","orcid":"https://orcid.org/0009-0004-5695-8274"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Ma","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041494720","display_name":"Chunheng Wang","orcid":"https://orcid.org/0000-0002-9589-8284"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunheng Wang","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410361","display_name":"Baihua Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baihua Xiao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008136211","display_name":"Wen Zhou","orcid":"https://orcid.org/0000-0002-9037-1803"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhou","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048142743"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":25.3728,"has_fulltext":false,"cited_by_count":212,"citation_normalized_percentile":{"value":0.99802297,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2586","last_page":"2593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.8219923377037048},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.820708155632019},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7623791694641113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7165526151657104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6321954727172852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315716505050659},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5674432516098022},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5370928049087524},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5274971723556519},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4686307907104492},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4426487386226654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3270213305950165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29043951630592346},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06622812151908875}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.8219923377037048},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.820708155632019},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7623791694641113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7165526151657104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321954727172852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315716505050659},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5674432516098022},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5370928049087524},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5274971723556519},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4686307907104492},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4426487386226654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3270213305950165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29043951630592346},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06622812151908875},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6247977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1510147702","https://openalex.org/W1591385104","https://openalex.org/W1669104078","https://openalex.org/W1736339626","https://openalex.org/W1902027874","https://openalex.org/W2003217181","https://openalex.org/W2005876975","https://openalex.org/W2033241812","https://openalex.org/W2037549374","https://openalex.org/W2038964396","https://openalex.org/W2047071281","https://openalex.org/W2082855665","https://openalex.org/W2085400714","https://openalex.org/W2103560185","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2129812935","https://openalex.org/W2131628350","https://openalex.org/W2136015602","https://openalex.org/W2143915994","https://openalex.org/W2146047955","https://openalex.org/W2146739705","https://openalex.org/W2147276092","https://openalex.org/W2153663612","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2538773003","https://openalex.org/W2611328865","https://openalex.org/W2616032753","https://openalex.org/W2798766386","https://openalex.org/W2951443864","https://openalex.org/W2994340921","https://openalex.org/W4244633107","https://openalex.org/W6630796711","https://openalex.org/W6635552349","https://openalex.org/W6679973066","https://openalex.org/W6680702173","https://openalex.org/W6681521150"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1778286912","https://openalex.org/W1987225540","https://openalex.org/W2152958724","https://openalex.org/W2099321050","https://openalex.org/W2116933539","https://openalex.org/W4245251483","https://openalex.org/W2008821896","https://openalex.org/W2034957211","https://openalex.org/W1992008660"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,54],"propose":[4],"a":[5,63],"discriminative":[6],"low-rank":[7,37],"dictionary":[8,67,88,105],"learning":[9,106],"algorithm":[10,94],"for":[11,95],"sparse":[12,76],"representation.":[13],"Sparse":[14],"representation":[15],"seeks":[16],"the":[17,22,29,44,47,66,93,109,112],"sparsest":[18],"coefficients":[19],"to":[20],"represent":[21],"test":[23],"signal":[24],"as":[25,59],"linear":[26],"combination":[27],"of":[28,62,111],"bases":[30],"in":[31],"an":[32],"over-complete":[33],"dictionary.":[34],"Motivated":[35],"by":[36],"matrix":[38],"recovery":[39],"and":[40,80,85],"completion,":[41],"assume":[42],"that":[43],"data":[45,57],"from":[46],"same":[48],"pattern":[49],"are":[50],"linearly":[51],"correlated,":[52],"if":[53],"stack":[55],"these":[56],"points":[58],"column":[60],"vectors":[61],"dictionary,":[64],"then":[65],"should":[68],"be":[69],"approximately":[70],"low-rank.":[71],"An":[72],"objective":[73],"function":[74],"with":[75,100],"coefficients,":[77],"class":[78],"discrimination":[79],"rank":[81],"minimization":[82],"is":[83],"proposed":[84,113],"optimized":[86],"during":[87],"learning.":[89],"We":[90],"have":[91],"applied":[92],"face":[96],"recognition.":[97],"Numerous":[98],"experiments":[99],"improved":[101],"performances":[102],"over":[103],"previous":[104],"methods":[107],"validate":[108],"effectiveness":[110],"algorithm.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":38},{"year":2016,"cited_by_count":38},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":30},{"year":2013,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
