{"id":"https://openalex.org/W2295786646","doi":"https://doi.org/10.1109/icip.2015.7351062","title":"Locality sensitive discriminative dictionary learning","display_name":"Locality sensitive discriminative dictionary learning","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295786646","doi":"https://doi.org/10.1109/icip.2015.7351062","mag":"2295786646"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5100445470","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0001-9045-1339"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056699273","display_name":"Yanqing Guo","orcid":"https://orcid.org/0000-0001-9123-140X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421845","display_name":"Yi Li","orcid":"https://orcid.org/0009-0005-5054-8052"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108063768","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0001-7312-0837"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351506","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-1699-2940"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61902617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1205 6391","issue":null,"first_page":"1558","last_page":"1562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"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":0.9944999814033508,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9876000285148621,"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":0.9562632441520691},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.736322820186615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7158827185630798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.66261887550354},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.658106803894043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4914597272872925},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46103858947753906},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4299502968788147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3400307297706604},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3398982286453247},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07791757583618164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0698995292186737}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9562632441520691},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.736322820186615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7158827185630798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66261887550354},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.658106803894043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4914597272872925},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46103858947753906},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4299502968788147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3400307297706604},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3398982286453247},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07791757583618164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0698995292186737},{"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/icip.2015.7351062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W198330749","https://openalex.org/W1045193051","https://openalex.org/W1576613474","https://openalex.org/W1591385104","https://openalex.org/W1963932623","https://openalex.org/W1992405901","https://openalex.org/W2027541309","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2032768707","https://openalex.org/W2069959554","https://openalex.org/W2101381488","https://openalex.org/W2108024382","https://openalex.org/W2113606819","https://openalex.org/W2122922389","https://openalex.org/W2123921160","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2153635508","https://openalex.org/W2157785665","https://openalex.org/W2166049352","https://openalex.org/W2953139536","https://openalex.org/W2994340921","https://openalex.org/W4247575175","https://openalex.org/W6608120278","https://openalex.org/W6634500723","https://openalex.org/W6635552349","https://openalex.org/W6675031476","https://openalex.org/W6676903177","https://openalex.org/W6678757208"],"related_works":["https://openalex.org/W3131016912","https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W1828907538","https://openalex.org/W4295805486","https://openalex.org/W2783701116","https://openalex.org/W2153315159","https://openalex.org/W2771430809","https://openalex.org/W2295786646","https://openalex.org/W2019209885"],"abstract_inverted_index":{"Discriminative":[0,56],"dictionary":[1,19,50,63,82,132],"learning":[2,20,51,64,133],"(DDL)":[3],"has":[4,123],"been":[5],"applied":[6],"to":[7,75,104,129],"various":[8],"pattern":[9],"classification":[10],"problems.":[11],"Despite":[12],"satisfying":[13],"experimental":[14],"results,":[15],"most":[16],"existing":[17],"discriminative":[18,81,131],"methods":[21],"emphasize":[22],"too":[23],"much":[24],"on":[25],"the":[26,33,76,85,95,99,108],"role":[27],"of":[28,37,69],"l0or":[29],"l1-norm":[30],"sparsity,":[31],"while":[32,107],"underlying":[34],"local":[35],"structure":[36],"original":[38,70,86],"data":[39,71,87],"is":[40,73],"totally":[41],"ignored.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"present":[47],"a":[48,90],"novel":[49],"method,":[52],"named":[53],"Locality":[54],"Sensitive":[55],"Dictionary":[57],"Learning":[58],"(LSDDL),":[59],"which":[60,72,94],"combines":[61],"basic":[62],"scheme":[65],"and":[66],"locality":[67],"relationship":[68],"propagated":[74],"coding":[77],"vectors.":[78],"The":[79],"learned":[80],"can":[83],"map":[84],"points":[88,97,110],"into":[89],"new":[91],"space":[92],"in":[93,127],"nearby":[96,109],"with":[98,111],"same":[100],"label":[101],"are":[102,114],"close":[103],"each":[105],"other":[106],"different":[112],"labels":[113],"far":[115],"apart.":[116],"Experiments":[117],"clearly":[118],"show":[119],"that":[120],"our":[121],"method":[122],"very":[124],"competitive":[125],"performance":[126],"contrast":[128],"previous":[130],"methods.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}