{"id":"https://openalex.org/W2997896449","doi":"https://doi.org/10.1109/tmm.2019.2961508","title":"Jointly Sparse Locality Regression for Image Feature Extraction","display_name":"Jointly Sparse Locality Regression for Image Feature Extraction","publication_year":2019,"publication_date":"2019-12-24","ids":{"openalex":"https://openalex.org/W2997896449","doi":"https://doi.org/10.1109/tmm.2019.2961508","mag":"2997896449"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2961508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2961508","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-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/A5069692042","display_name":"Dongmei Mo","orcid":"https://orcid.org/0000-0001-8947-2415"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Dongmei Mo","raw_affiliation_strings":["Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR of China"],"raw_orcid":"https://orcid.org/0000-0001-8947-2415","affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR of China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043352718","display_name":"Zhihui Lai","orcid":"https://orcid.org/0000-0002-4388-3080"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Lai","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4388-3080","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xizhao Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering and Guangdong Key Lab of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6036-4728","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering and Guangdong Key Lab of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026796400","display_name":"Wai Keung Wong","orcid":"https://orcid.org/0000-0002-5214-7114"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Waikeung Wong","raw_affiliation_strings":["Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR of China"],"raw_orcid":"https://orcid.org/0000-0002-5214-7114","affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR of China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069692042"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.3063,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62477142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"11","first_page":"2873","last_page":"2888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7968428134918213},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6701318025588989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6467323899269104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6370583176612854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092612743377686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5115724205970764},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4389982223510742},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4310316741466522},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.41720378398895264},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41477638483047485},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13981756567955017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12300291657447815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968428134918213},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6701318025588989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6467323899269104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6370583176612854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092612743377686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5115724205970764},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4389982223510742},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4310316741466522},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.41720378398895264},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41477638483047485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13981756567955017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12300291657447815},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2961508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2961508","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W199958201","https://openalex.org/W827142139","https://openalex.org/W1136224152","https://openalex.org/W1453614571","https://openalex.org/W1480376833","https://openalex.org/W1591385104","https://openalex.org/W1600550542","https://openalex.org/W1644402181","https://openalex.org/W1686810756","https://openalex.org/W1761723896","https://openalex.org/W1782590233","https://openalex.org/W1849277567","https://openalex.org/W1904056154","https://openalex.org/W1951319388","https://openalex.org/W1966759576","https://openalex.org/W1970672441","https://openalex.org/W1972676371","https://openalex.org/W1975900269","https://openalex.org/W1976114481","https://openalex.org/W1976503215","https://openalex.org/W1981020133","https://openalex.org/W2005292390","https://openalex.org/W2009501510","https://openalex.org/W2013496844","https://openalex.org/W2027717478","https://openalex.org/W2029348341","https://openalex.org/W2033419168","https://openalex.org/W2041259983","https://openalex.org/W2043080228","https://openalex.org/W2043661478","https://openalex.org/W2047825359","https://openalex.org/W2063715296","https://openalex.org/W2073025445","https://openalex.org/W2076363162","https://openalex.org/W2078093994","https://openalex.org/W2083162467","https://openalex.org/W2084716923","https://openalex.org/W2088100205","https://openalex.org/W2097303721","https://openalex.org/W2100286988","https://openalex.org/W2102460275","https://openalex.org/W2103250033","https://openalex.org/W2111209478","https://openalex.org/W2113600901","https://openalex.org/W2117553576","https://openalex.org/W2119862467","https://openalex.org/W2121647436","https://openalex.org/W2122322115","https://openalex.org/W2122825543","https://openalex.org/W2127615881","https://openalex.org/W2137677445","https://openalex.org/W2152374199","https://openalex.org/W2154672679","https://openalex.org/W2154872931","https://openalex.org/W2155893237","https://openalex.org/W2156642959","https://openalex.org/W2157069239","https://openalex.org/W2163693992","https://openalex.org/W2163939328","https://openalex.org/W2165147762","https://openalex.org/W2168901348","https://openalex.org/W2171837816","https://openalex.org/W2205061450","https://openalex.org/W2261658981","https://openalex.org/W2343962831","https://openalex.org/W2471758726","https://openalex.org/W2520774990","https://openalex.org/W2577472518","https://openalex.org/W2588939073","https://openalex.org/W2615253071","https://openalex.org/W2741754853","https://openalex.org/W2790640759","https://openalex.org/W2791251452","https://openalex.org/W2883007096","https://openalex.org/W2904251885","https://openalex.org/W2911840696","https://openalex.org/W3100830527","https://openalex.org/W3102661353","https://openalex.org/W6608075166","https://openalex.org/W6635552349","https://openalex.org/W6637373629","https://openalex.org/W6638046521","https://openalex.org/W6639204139","https://openalex.org/W6652451885","https://openalex.org/W6675955514","https://openalex.org/W6676743451","https://openalex.org/W6680521144","https://openalex.org/W6682644385","https://openalex.org/W6684429163","https://openalex.org/W6726946684","https://openalex.org/W6731795620","https://openalex.org/W6758731821","https://openalex.org/W6999947317"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W2174948646","https://openalex.org/W3173235360","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2886568922","https://openalex.org/W2594370889","https://openalex.org/W2390720471","https://openalex.org/W2051410394","https://openalex.org/W1600789676"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"novel":[4],"method":[5,146,177],"called":[6],"Jointly":[7],"Sparse":[8],"Locality":[9],"Regression":[10],"(JSLR)":[11],"for":[12,50,82,136],"feature":[13,83,138,179],"extraction":[14],"and":[15,29,61,103,147,154,181],"selection.":[16,139],"JSLR":[17,49,96,131],"utilizes":[18],"joint":[19,134],"L":[20],"<sub":[21],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[22],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2,1</sub>":[23],"-norm":[24],"minimization":[25],"on":[26,166,178],"regularization":[27,94],"term,":[28,95],"also":[30,162],"introduces":[31],"the":[32,36,41,56,68,71,88,93,111,119,133,144,148,155,158,172,175],"locality":[33],"to":[34,99,126],"characterize":[35],"local":[37,89,101],"geometric":[38,90],"structure":[39,91],"of":[40,70,143,157,174],"data.":[42],"There":[43],"are":[44,152],"three":[45],"main":[46],"contributions":[47],"in":[48,58,128],"face":[51],"recognition.":[52],"Firstly,":[53],"it":[54],"eliminates":[55],"drawback":[57],"ridge":[59],"regression":[60,150],"Linear":[62],"Discriminant":[63],"Analysis":[64],"(LDA)":[65],"that":[66],"when":[67],"number":[69],"classes":[72],"is":[73,97,124,161],"too":[74],"small,":[75],"not":[76],"enough":[77],"projections":[78],"can":[79,109],"be":[80],"obtained":[81],"extraction.":[84],"Secondly,":[85],"by":[86],"using":[87],"as":[92],"able":[98],"preserve":[100],"information":[102],"find":[104],"an":[105],"embedding":[106],"subspace":[107],"which":[108],"detect":[110],"most":[112],"essential":[113],"data":[114,129,169],"manifold":[115],"structure.":[116],"Moreover,":[117],"since":[118],"L2,1-norm":[120],"based":[121],"loss":[122],"function":[123],"robust":[125,137],"outliers":[127],"points,":[130],"provides":[132],"sparsity":[135],"The":[140],"theoretical":[141],"connections":[142],"proposed":[145,159,176],"previous":[149],"methods":[151],"explored":[153],"convergence":[156],"algorithm":[160],"proved.":[163],"Experimental":[164],"evaluation":[165],"several":[167],"well-known":[168],"sets":[170],"shows":[171],"merits":[173],"selection":[180],"classification.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}