{"id":"https://openalex.org/W4206025771","doi":"https://doi.org/10.1109/tcsvt.2021.3135316","title":"Joint Discriminative Latent Subspace Learning for Image Classification","display_name":"Joint Discriminative Latent Subspace Learning for Image Classification","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4206025771","doi":"https://doi.org/10.1109/tcsvt.2021.3135316"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3135316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3135316","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5091707052","display_name":"Jianhang Zhou","orcid":"https://orcid.org/0000-0002-2423-2311"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Jianhang Zhou","raw_affiliation_strings":["Department of Computer and Information Science, Pattern Analysis and Machine Intelligence Research Group, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-2423-2311","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Pattern Analysis and Machine Intelligence Research Group, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, Pattern Analysis and Machine Intelligence Research Group, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Pattern Analysis and Machine Intelligence Research Group, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052292368","display_name":"Shaoning Zeng","orcid":"https://orcid.org/0000-0002-4384-8787"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoning Zeng","raw_affiliation_strings":["Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4384-8787","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075160019","display_name":"Qi Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Qi Lai","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-6169-8498","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091707052"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.068,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79841329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"32","issue":"7","first_page":"4653","last_page":"4666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/subspace-topology","display_name":"Subspace topology","score":0.8789330124855042},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7086414098739624},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.631726086139679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5973062515258789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5645763278007507},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5077208280563354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4240937829017639},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3296285569667816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32366520166397095}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8789330124855042},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7086414098739624},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.631726086139679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5973062515258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5645763278007507},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5077208280563354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4240937829017639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296285569667816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32366520166397095},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3135316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3135316","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5071687035","display_name":null,"funder_award_id":"MYRG2018-00053-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1984929054","https://openalex.org/W1997201895","https://openalex.org/W2043080228","https://openalex.org/W2056935845","https://openalex.org/W2060300932","https://openalex.org/W2065180801","https://openalex.org/W2088748973","https://openalex.org/W2097486709","https://openalex.org/W2119821739","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2141607429","https://openalex.org/W2164278908","https://openalex.org/W2194775991","https://openalex.org/W2279365017","https://openalex.org/W2471678645","https://openalex.org/W2561057809","https://openalex.org/W2612496192","https://openalex.org/W2618530766","https://openalex.org/W2750384547","https://openalex.org/W2791459777","https://openalex.org/W2794208501","https://openalex.org/W2797647736","https://openalex.org/W2890144132","https://openalex.org/W2903963428","https://openalex.org/W2907110086","https://openalex.org/W2940009787","https://openalex.org/W2963128427","https://openalex.org/W2963163009","https://openalex.org/W2971368391","https://openalex.org/W2996841154","https://openalex.org/W3015245801","https://openalex.org/W3038887388","https://openalex.org/W3043178985","https://openalex.org/W3093660915","https://openalex.org/W3120689699","https://openalex.org/W4205712406","https://openalex.org/W4241492945","https://openalex.org/W4250589301","https://openalex.org/W4256561644","https://openalex.org/W4293380554","https://openalex.org/W6637373629","https://openalex.org/W6692658850","https://openalex.org/W6743688258"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"Latent":[0],"subspace":[1,24,49,60,139],"learning":[2,25,38,121,133,172,205],"aims":[3],"to":[4,102,203],"produce":[5],"a":[6,196],"latent":[7,23,40,48,59,69,123,138,154,177],"representation":[8,114],"for":[9,125,140,169],"better":[10,192],"reconstruction":[11,127],"and":[12,50,71,106,128,137,158,181],"classification":[13],"from":[14,65,115,146],"high-dimensional":[15],"data":[16,126,141],"through":[17],"exploiting":[18],"the":[19,39,47,51,66,79,119,131,147,152,166,170,175,184,188],"optimal":[20],"subspace.":[21,178],"Current":[22],"methods":[26],"commonly":[27],"have":[28],"three":[29],"problems:":[30],"1)":[31],"The":[32,43],"discriminative":[33],"property":[34],"is":[35,56],"ignored":[36],"when":[37],"subspace,":[41,70,155],"2)":[42],"redundancy":[44],"exists":[45],"between":[46],"prediction":[52],"space,":[53,68],"3)":[54],"There":[55],"no":[57],"unified":[58],"that":[61,187],"exploits":[62],"knowledge":[63,145],"jointly":[64],"raw":[67],"label":[72,135],"space.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,150],"formulate":[78],"<bold":[80,84,88,92,96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,85,89,93,97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">J</b>":[82],"oint":[83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">D</b>":[86],"iscriminative":[87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</b>":[90,98],"atent":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>":[94],"ubspace":[95],"earning":[99],"(JDLSL)":[100],"problem":[101],"address":[103],"these":[104],"issues,":[105],"provide":[107,165],"its":[108],"optimization":[109],"solution.":[110],"JDLSL":[111,194],"learns":[112],"image":[113],"two":[116],"aspects:":[117],"a)":[118],"joint":[120,132,148],"of":[122,134,174],"subspaces":[124],"prediction,":[129],"b)":[130],"space":[136],"reconstruction.":[142],"To":[143],"integrate":[144],"learning,":[149],"organize":[151],"sparsity-induced":[153,176],"where":[156],"row-sparsity":[157],"column":[159],"sparsity":[160],"are":[161],"simultaneously":[162],"imposed.":[163],"We":[164],"theoretical":[167],"proof":[168],"discriminativity":[171],"ability":[173],"Extensive":[179],"experiments":[180],"comparisons":[182],"with":[183,199,211],"state-of-the-art":[185],"showed":[186],"proposed":[189],"method":[190],"has":[191],"performance.":[193],"shows":[195],"competitive":[197],"performance":[198],"deep":[200,204,212],"features":[201],"compared":[202],"architectures,":[206],"reflecting":[207],"it":[208],"potential":[209],"integrating":[210],"learning.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}