{"id":"https://openalex.org/W2999656296","doi":"https://doi.org/10.1109/tip.2020.2965289","title":"Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space","display_name":"Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999656296","doi":"https://doi.org/10.1109/tip.2020.2965289","mag":"2999656296","pmid":"https://pubmed.ncbi.nlm.nih.gov/31944974"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2965289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2965289","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5079400113","display_name":"Jiahuan Ren","orcid":"https://orcid.org/0000-0002-5031-8952"},"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":"Jiahuan Ren","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"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":null,"display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0001-5130-2736"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"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":"Zhao Zhang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5130-2736","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"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/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["Department of Computer Science, University of Georgia, Athens, USA"],"raw_orcid":"https://orcid.org/0000-0003-1205-8632","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Georgia, Athens, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322887","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0003-1029-9280"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1029-9280","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"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"],"raw_orcid":"https://orcid.org/0000-0002-9428-4387","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":"middle","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","YITU Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"YITU Technology, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.996,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97063729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"3941","last_page":"3956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987000226974487,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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":0.6696195006370544},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6425623893737793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6386297345161438},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5941776037216187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.563263475894928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5288853645324707},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5261827707290649},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4776797890663147},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4713023900985718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.433474600315094},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4305230677127838}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6696195006370544},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6425623893737793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6386297345161438},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5941776037216187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.563263475894928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5288853645324707},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5261827707290649},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4776797890663147},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4713023900985718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.433474600315094},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4305230677127838},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.2965289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2965289","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:31944974","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31944974","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1000548808","display_name":null,"funder_award_id":"61871444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2138015694","display_name":null,"funder_award_id":"JZ2019-HGPA0102","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2352815609","display_name":null,"funder_award_id":"61806035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3308505718","display_name":null,"funder_award_id":"61732008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5126457691","display_name":"\u9762\u5411\u9c81\u68d2\u7279\u5f81\u5b66\u4e60\u7684\u7a00\u758f\u4e0e\u4f4e\u79e9\u7f16\u7801\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61672365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5232388117","display_name":null,"funder_award_id":"61725203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8830730299","display_name":null,"funder_award_id":"61622305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1510147702","https://openalex.org/W1585192441","https://openalex.org/W1591385104","https://openalex.org/W1736339626","https://openalex.org/W1902027874","https://openalex.org/W1963854021","https://openalex.org/W1963932623","https://openalex.org/W1973445088","https://openalex.org/W1982405594","https://openalex.org/W1987486886","https://openalex.org/W1992405901","https://openalex.org/W1995711748","https://openalex.org/W1997201895","https://openalex.org/W2006793117","https://openalex.org/W2007588387","https://openalex.org/W2009501510","https://openalex.org/W2021770241","https://openalex.org/W2027077002","https://openalex.org/W2027805700","https://openalex.org/W2035746673","https://openalex.org/W2069959554","https://openalex.org/W2076363162","https://openalex.org/W2084716923","https://openalex.org/W2089939542","https://openalex.org/W2097622337","https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2123921160","https://openalex.org/W2130951397","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2153663612","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2163112044","https://openalex.org/W2163624601","https://openalex.org/W2163922914","https://openalex.org/W2164568552","https://openalex.org/W2166049352","https://openalex.org/W2166371785","https://openalex.org/W2171837816","https://openalex.org/W2313529869","https://openalex.org/W2543892465","https://openalex.org/W2560042709","https://openalex.org/W2560185252","https://openalex.org/W2585551302","https://openalex.org/W2618530766","https://openalex.org/W2744110160","https://openalex.org/W2754803257","https://openalex.org/W2896470970","https://openalex.org/W2902984567","https://openalex.org/W2951270686","https://openalex.org/W2952822670","https://openalex.org/W2962944036","https://openalex.org/W2963954891","https://openalex.org/W2972877421","https://openalex.org/W2981937028","https://openalex.org/W3000480515","https://openalex.org/W3004092389","https://openalex.org/W3099438410","https://openalex.org/W3102246635","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W6635552349","https://openalex.org/W6659319144","https://openalex.org/W6684213969","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,174],"investigate":[4],"the":[5,12,43,48,57,74,86,94,100,106,124,134,154,161,170,179,191,199],"robust":[6,75,109],"dictionary":[7],"learning":[8],"(DL)":[9],"to":[10,50,84,110,137,147],"discover":[11],"hybrid":[13,64,171],"salient":[14,65,142,172],"low-rank":[15,156],"and":[16,28,52,62,91,126,157,182],"sparse":[17,117,158],"representation":[18,76],"in":[19,54,79,112],"a":[20,80,165,184],"factorized":[21,81],"compressed":[22,82],"space.":[23],"A":[24],"Joint":[25],"Robust":[26],"Factorization":[27],"Projective":[29],"Dictionary":[30],"Learning":[31],"(J-RFDL)":[32],"model":[33],"is":[34],"presented.":[35],"The":[36],"setting":[37],"of":[38,89,133,194],"J-RFDL":[39,72,114,152,177,186],"aims":[40],"at":[41],"improving":[42],"data":[44,150],"representations":[45],"by":[46,77,130,197],"enhancing":[47],"robustness":[49],"outliers":[51,92],"noise":[53,90,111],"data,":[55,113],"encoding":[56,107],"reconstruction":[58,69,127,135],"error":[59,201],"more":[60],"accurately":[61],"obtaining":[63],"coefficients":[66,143,163,196],"with":[67,144,164],"accurate":[68],"ability.":[70],"Specifically,":[71],"performs":[73],"DL":[78,101],"space":[83],"eliminate":[85],"negative":[87],"effects":[88],"on":[93,160,169,205],"results,":[95],"which":[96,188],"can":[97,121,189,212],"also":[98,175],"make":[99,105],"process":[102,108],"efficient.":[103],"To":[104,140],"clearly":[115],"uses":[116],"L2,":[118],"1-norm":[119],"that":[120,209],"potentially":[122],"minimize":[123],"factorization":[125],"errors":[128,136],"jointly":[129],"forcing":[131],"rows":[132],"be":[138],"zeros.":[139],"deliver":[141,213],"good":[145],"structures":[146],"reconstruct":[148],"given":[149],"well,":[151],"imposes":[153],"joint":[155,180],"constraints":[159],"embedded":[162],"synthesis":[166],"dictionary.":[167],"Based":[168],"coefficients,":[173],"extend":[176],"for":[178],"classification":[181,200],"propose":[183],"discriminative":[185],"model,":[187],"improve":[190],"discriminating":[192],"abilities":[193],"learnt":[195],"minimizing":[198],"jointly.":[202],"Extensive":[203],"experiments":[204],"public":[206],"datasets":[207],"demonstrate":[208],"our":[210],"formulations":[211],"superior":[214],"performance":[215],"over":[216],"other":[217],"state-of-the-art":[218],"methods.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":15},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}