{"id":"https://openalex.org/W4312412826","doi":"https://doi.org/10.1587/transfun.2022eap1149","title":"A Novel Discriminative Dictionary Learning Method for Image Classification","display_name":"A Novel Discriminative Dictionary Learning Method for Image Classification","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4312412826","doi":"https://doi.org/10.1587/transfun.2022eap1149"},"language":"en","primary_location":{"id":"doi:10.1587/transfun.2022eap1149","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2022eap1149","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/E106.A/6/E106.A_2022EAP1149/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.jstage.jst.go.jp/article/transfun/E106.A/6/E106.A_2022EAP1149/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076800191","display_name":"Wentao Lyu","orcid":"https://orcid.org/0000-0002-1164-7534"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao LYU","raw_affiliation_strings":["School of Information Science and Technology, Zhejiang Sci-Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Zhejiang Sci-Tech University","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056665612","display_name":"Di ZHOU","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163926","display_name":"Zhejiang Medicine (China)","ror":"https://ror.org/05h86nk22","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210163926"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di ZHOU","raw_affiliation_strings":["Zhejiang Uniview Technologies Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Uniview Technologies Co., Ltd","institution_ids":["https://openalex.org/I4210163926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026683603","display_name":"Chengqun Wang","orcid":"https://orcid.org/0000-0003-3139-9141"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengqun WANG","raw_affiliation_strings":["School of Information Science and Technology, Zhejiang Sci-Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Zhejiang Sci-Tech University","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388599","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0002-0442-5730"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu ZHANG","raw_affiliation_strings":["School of Information Science and Technology, Zhejiang Sci-Tech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Zhejiang Sci-Tech University","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076800191"],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12569053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E106.A","issue":"6","first_page":"932","last_page":"937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9968000054359436,"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":0.9496682286262512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7649112939834595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7252381443977356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6279046535491943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5235688090324402},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5030331015586853},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.48503249883651733},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4648664593696594},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4462663531303406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.333251416683197}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9496682286262512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7649112939834595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7252381443977356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6279046535491943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5235688090324402},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5030331015586853},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.48503249883651733},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4648664593696594},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4462663531303406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.333251416683197},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transfun.2022eap1149","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2022eap1149","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/E106.A/6/E106.A_2022EAP1149/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transfun.2022eap1149","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transfun.2022eap1149","pdf_url":"https://www.jstage.jst.go.jp/article/transfun/E106.A/6/E106.A_2022EAP1149/_pdf","source":{"id":"https://openalex.org/S166990724","display_name":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","issn_l":"0916-8508","issn":["0916-8508","1745-1337"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3841651780","display_name":null,"funder_award_id":"2021-KF-21-06","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"},{"id":"https://openalex.org/G3999327809","display_name":"\u9762\u5411\u5408\u6210\u5b54\u5f84\u96f7\u8fbe\u56fe\u50cf\u5178\u578b\u76ee\u6807\u7684\u8f6e\u5ed3\u751f\u6210\u673a\u5236\u7814\u7a76","funder_award_id":"61601410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4292400736","display_name":null,"funder_award_id":"2021-KF-21-03","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335661","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312412826.pdf","grobid_xml":"https://content.openalex.org/works/W4312412826.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1835905048","https://openalex.org/W1963932623","https://openalex.org/W2000111805","https://openalex.org/W2140245639","https://openalex.org/W2160547390","https://openalex.org/W2163112044","https://openalex.org/W2295786646","https://openalex.org/W2514830548","https://openalex.org/W2525624297","https://openalex.org/W2785138764","https://openalex.org/W2990780193"],"related_works":["https://openalex.org/W2965546495","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/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"In":[0],"this":[1,117],"paper,":[2],"we":[3],"present":[4],"a":[5,88],"novel":[6],"discriminative":[7,51,75],"dictionary":[8,70],"learning":[9,71],"(DDL)":[10],"method":[11],"for":[12],"image":[13],"classification.":[14],"The":[15,105],"local":[16],"structural":[17],"relationship":[18],"between":[19],"samples":[20,62,84],"is":[21,63],"first":[22],"built":[23],"by":[24,72],"the":[25,33,42,50,54,56,66,74,79,94,110,114],"Laplacian":[26],"eigenmaps":[27],"(LE),":[28],"and":[29],"then":[30],"integrated":[31],"into":[32,65,87],"basic":[34],"DDL":[35],"frame":[36],"to":[37,48,101],"suppress":[38],"inter-class":[39],"ambiguity":[40],"in":[41,46,92],"feature":[43,90],"space.":[44],"Moreover,":[45],"order":[47],"improve":[49],"ability":[52],"of":[53,60,69,82,116],"dictionary,":[55],"category":[57],"label":[58],"information":[59],"training":[61],"formulated":[64],"objective":[67],"function":[68],"considering":[73],"promotion":[76],"term.":[77],"Thus,":[78],"data":[80],"points":[81,95],"original":[83],"are":[85,99],"transformed":[86],"new":[89],"space,":[91],"which":[93],"from":[96],"different":[97],"categories":[98],"expected":[100],"be":[102],"far":[103],"apart.":[104],"test":[106],"results":[107],"based":[108],"on":[109],"real":[111],"dataset":[112],"indicate":[113],"effectiveness":[115],"method.":[118]},"counts_by_year":[],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}