{"id":"https://openalex.org/W2903489537","doi":"https://doi.org/10.1109/icpr.2018.8545446","title":"Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding","display_name":"Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903489537","doi":"https://doi.org/10.1109/icpr.2018.8545446","mag":"2903489537"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101193453","display_name":"Weiming Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"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/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Adobe Research, Adobe Systems Inc, San Jose, California, United States"],"affiliations":[{"raw_affiliation_string":"Adobe Research, Adobe Systems Inc, San Jose, California, United States","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061215231","display_name":"Jie Qin","orcid":"https://orcid.org/0000-0002-0306-534X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jie Qin","raw_affiliation_strings":["Computer Vision Laboratory, ETH Z\u00fcrich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Z\u00fcrich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019542310","display_name":"Guangcan Liu","orcid":"https://orcid.org/0000-0002-9428-4387"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcan Liu","raw_affiliation_strings":["School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100423029"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.4054,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60995129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8692","issue":null,"first_page":"1664","last_page":"1669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9969000220298767,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962000250816345,"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/discriminative-model","display_name":"Discriminative model","score":0.847580075263977},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6512889862060547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647854745388031},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6455404758453369},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6218398809432983},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.6120961308479309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715433359146118},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5356169939041138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5233551859855652},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4939940571784973},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4932028651237488},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4746970534324646},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45200297236442566},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4376094341278076},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42192116379737854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33440878987312317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2584950625896454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20623978972434998}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.847580075263977},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6512889862060547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647854745388031},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6455404758453369},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6218398809432983},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6120961308479309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715433359146118},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5356169939041138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5233551859855652},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4939940571784973},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4932028651237488},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4746970534324646},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45200297236442566},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4376094341278076},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42192116379737854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33440878987312317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2584950625896454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20623978972434998},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W131155259","https://openalex.org/W1510147702","https://openalex.org/W1963932623","https://openalex.org/W1982405594","https://openalex.org/W1992405901","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2076363162","https://openalex.org/W2089571385","https://openalex.org/W2089939542","https://openalex.org/W2110662122","https://openalex.org/W2112447569","https://openalex.org/W2127271355","https://openalex.org/W2129812935","https://openalex.org/W2130951397","https://openalex.org/W2135346934","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2166371785","https://openalex.org/W2276512949","https://openalex.org/W2315814222","https://openalex.org/W2343962831","https://openalex.org/W2517949381","https://openalex.org/W2573108165","https://openalex.org/W2754803257","https://openalex.org/W2766929895","https://openalex.org/W6676727762","https://openalex.org/W6684213969","https://openalex.org/W6744815318"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2388952560","https://openalex.org/W110819671","https://openalex.org/W2149282631","https://openalex.org/W2204991413","https://openalex.org/W2011611369"],"abstract_inverted_index":{"We":[0],"mainly":[1],"propose":[2],"a":[3,68,85,89,111],"robust":[4],"Embedded":[5],"Locality-Constrained":[6],"Label":[7],"Consistent":[8],"Dictionary":[9],"Learning":[10],"(ELC":[11],"<sup":[12,21],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13,22],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[14,23],"DL)":[15],"framework":[16],"for":[17,53,72,81],"discriminative":[18,90,118],"classification.":[19],"ELC":[20],"DL":[24,33,49],"improves":[25],"the":[26,35,61,78,97],"representation":[27],"and":[28,47,75,117],"classification":[29],"performance":[30,57,136],"by":[31],"performing":[32,48],"in":[34,63],"noise-removed":[36,79],"sparse":[37,69,119],"embedding":[38],"space,":[39],"since":[40],"most":[41],"real":[42],"data":[43,52,80],"often":[44],"contains":[45],"noise":[46,62,73],"over":[50,137],"noisy":[51],"reconstruction":[54],"may":[55],"decrease":[56],"potentially.":[58],"To":[59],"reduce":[60],"data,":[64,110],"our":[65,131],"model":[66],"computes":[67],"projection":[70],"jointly":[71],"reduction":[74],"then":[76],"uses":[77],"DL.":[82],"By":[83],"incorporating":[84],"noise-reduction":[86,112],"term":[87,94],"with":[88,100],"locality-constrained":[91],"label":[92,98],"consistent":[93],"that":[95,130],"associates":[96],"information":[99],"each":[101],"dictionary":[102,116],"atom":[103],"to":[104],"preserve":[105],"local":[106],"structure":[107],"of":[108],"training":[109],"projection,":[113],"an":[114],"over-complete":[115],"codes":[120],"are":[121],"obtained":[122],"jointly.":[123],"Simulations":[124],"on":[125],"several":[126],"image":[127],"databases":[128],"show":[129],"algorithm":[132],"can":[133],"deliver":[134],"enhanced":[135],"other":[138],"state-of-the-arts.":[139]},"counts_by_year":[{"year":2019,"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"}