{"id":"https://openalex.org/W2046769852","doi":"https://doi.org/10.1109/tip.2014.2331760","title":"Learning Discriminative Dictionary for Group Sparse Representation","display_name":"Learning Discriminative Dictionary for Group Sparse Representation","publication_year":2014,"publication_date":"2014-06-19","ids":{"openalex":"https://openalex.org/W2046769852","doi":"https://doi.org/10.1109/tip.2014.2331760","mag":"2046769852","pmid":"https://pubmed.ncbi.nlm.nih.gov/24956370"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2331760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2331760","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/A5047679253","display_name":"Yubao Sun","orcid":"https://orcid.org/0000-0002-0462-3729"},"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":true,"raw_author_name":"Yubao Sun","raw_affiliation_strings":["School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China","School of Information and Control, Nanjing University of Information Science & 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"]},{"raw_affiliation_string":"School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"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":"Qingshan Liu","raw_affiliation_strings":["School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China","School of Information and Control, Nanjing University of Information Science & 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"]},{"raw_affiliation_string":"School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"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":"Jinhui Tang","raw_affiliation_strings":["School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China","School of Information and Control, Nanjing University of Information Science & 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"]},{"raw_affiliation_string":"School of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I4210096034","https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047679253"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":11.669,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.99160746,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"9","first_page":"3816","last_page":"3828"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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":0.9157205820083618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7271864414215088},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6864005923271179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6713994145393372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6271835565567017},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5557742714881897},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5373261570930481},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5225098729133606},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4920582175254822},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49118825793266296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4351182281970978},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.42938733100891113},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4270896017551422},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4268611669540405},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.414883553981781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2968524992465973},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2655094563961029}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9157205820083618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7271864414215088},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6864005923271179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6713994145393372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6271835565567017},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5557742714881897},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5373261570930481},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5225098729133606},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4920582175254822},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49118825793266296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4351182281970978},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.42938733100891113},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4270896017551422},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4268611669540405},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.414883553981781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2968524992465973},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2655094563961029},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2331760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2331760","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:24956370","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24956370","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/G2558533570","display_name":null,"funder_award_id":"61272223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5329554664","display_name":null,"funder_award_id":"DP-140102164","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5659964068","display_name":null,"funder_award_id":"FT-130101457","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6555796547","display_name":null,"funder_award_id":"61300162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7356057971","display_name":null,"funder_award_id":"61300163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7694581057","display_name":null,"funder_award_id":"81201161","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/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W86136852","https://openalex.org/W129703402","https://openalex.org/W170527909","https://openalex.org/W1507723351","https://openalex.org/W1543618960","https://openalex.org/W1551219034","https://openalex.org/W1572386387","https://openalex.org/W1968555645","https://openalex.org/W1982036300","https://openalex.org/W1989979908","https://openalex.org/W1992405901","https://openalex.org/W2006262045","https://openalex.org/W2025671805","https://openalex.org/W2027805700","https://openalex.org/W2032768707","https://openalex.org/W2038964396","https://openalex.org/W2039050532","https://openalex.org/W2054110507","https://openalex.org/W2056168656","https://openalex.org/W2069959554","https://openalex.org/W2077964948","https://openalex.org/W2084716923","https://openalex.org/W2093323487","https://openalex.org/W2097018403","https://openalex.org/W2098132613","https://openalex.org/W2100551846","https://openalex.org/W2100556411","https://openalex.org/W2105235982","https://openalex.org/W2112020727","https://openalex.org/W2115733720","https://openalex.org/W2115736876","https://openalex.org/W2117575248","https://openalex.org/W2124807296","https://openalex.org/W2125874614","https://openalex.org/W2126833203","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2139852318","https://openalex.org/W2146047955","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2912990735","https://openalex.org/W2953139536","https://openalex.org/W2963198961","https://openalex.org/W6603551166","https://openalex.org/W6605295242","https://openalex.org/W6607135614","https://openalex.org/W6632618016","https://openalex.org/W6674642818","https://openalex.org/W6678757208","https://openalex.org/W6680925037","https://openalex.org/W6681521150"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2572092625","https://openalex.org/W1987225540","https://openalex.org/W2008821896","https://openalex.org/W1778286912","https://openalex.org/W2099321050","https://openalex.org/W4245251483","https://openalex.org/W1992008660","https://openalex.org/W2801169440","https://openalex.org/W2152958724"],"abstract_inverted_index":{"In":[0,68],"recent":[1],"years,":[2],"sparse":[3,23,103,137,163],"representation":[4,38,104],"has":[5],"been":[6],"widely":[7],"used":[8],"in":[9,50,156],"object":[10],"recognition":[11],"applications.":[12],"How":[13],"to":[14,22,29,101,151,180],"learn":[15],"the":[16,34,44,51,55,61,66,70,83,87,154,157,169,173,190,202,221,225,228,233],"dictionary":[17,41,52,57,98],"is":[18,28,128,179],"a":[19,96,112,119,131,134,140],"key":[20],"issue":[21],"representation.":[24],"A":[25],"popular":[26],"method":[27],"use":[30,201],"l1":[31,45],"norm":[32,46],"as":[33,185,187],"sparsity":[35],"measurement":[36],"of":[37,65,86,90,130,172,205,227],"coefficients":[39],"for":[40,73,105,115,209],"learning.":[42],"However,":[43],"treats":[47],"each":[48,74,91,116,148,206],"atom":[49],"independently,":[53],"so":[54],"learned":[56,71],"cannot":[58],"well":[59],"capture":[60],"multisubspaces":[62],"structural":[63,170],"information":[64,171],"data.":[67,174],"addition,":[69],"subdictionary":[72,114,121,141,150,176,192,208],"class":[75,117],"usually":[76],"shares":[77],"some":[78],"common":[79,120,191],"atoms,":[80],"which":[81,108],"weakens":[82],"discriminative":[84,132,145],"ability":[85],"reconstruction":[88,203],"error":[89,204],"subdictionary.":[92],"This":[93],"paper":[94],"presents":[95],"new":[97],"learning":[99,111],"model":[100,127],"improve":[102],"image":[106,218],"classification,":[107],"targets":[109],"at":[110,167],"class-specific":[113,149,207],"and":[118,139,220],"shared":[122,195],"by":[123,196],"all":[124,182,197],"classes.":[125],"The":[126,144,160,175],"composed":[129],"fidelity,":[133],"weighted":[135,161],"group":[136,162],"constraint,":[138],"incoherence":[142,177],"term.":[143],"fidelity":[146],"encourages":[147],"sparsely":[152],"represent":[153],"samples":[155],"corresponding":[158],"class.":[159],"constraint":[164],"term":[165,178],"aims":[166],"capturing":[168],"make":[181],"subdictionaries":[183],"independent":[184],"much":[186],"possible.":[188],"Because":[189],"represents":[193],"features":[194],"classes,":[198],"we":[199],"only":[200],"classification.":[210],"Extensive":[211],"experiments":[212],"are":[213],"conducted":[214],"on":[215],"several":[216],"public":[217],"databases,":[219],"experimental":[222],"results":[223],"demonstrate":[224],"power":[226],"proposed":[229],"method,":[230],"compared":[231],"with":[232],"state-of-the-arts.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}