{"id":"https://openalex.org/W4381587093","doi":"https://doi.org/10.1007/s40747-023-01065-9","title":"A new weighted extreme learning machine based on elastic net regularization embedded exponential regularized discriminative dictionary learning for image classification","display_name":"A new weighted extreme learning machine based on elastic net regularization embedded exponential regularized discriminative dictionary learning for image classification","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4381587093","doi":"https://doi.org/10.1007/s40747-023-01065-9"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01065-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01065-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01065-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01065-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100687937","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-2588-3001"},"institutions":[{"id":"https://openalex.org/I27688046","display_name":"Hunan Institute of Engineering","ror":"https://ror.org/03zj2rn70","country_code":"CN","type":"education","lineage":["https://openalex.org/I27688046"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, 411104, China","Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, China","College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China","institution_ids":["https://openalex.org/I27688046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110996158","display_name":"PinYi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I27688046","display_name":"Hunan Institute of Engineering","ror":"https://ror.org/03zj2rn70","country_code":"CN","type":"education","lineage":["https://openalex.org/I27688046"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"PinYi Zhao","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China","institution_ids":["https://openalex.org/I27688046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621580","display_name":"Qin Wan","orcid":"https://orcid.org/0000-0001-9031-0157"},"institutions":[{"id":"https://openalex.org/I27688046","display_name":"Hunan Institute of Engineering","ror":"https://ror.org/03zj2rn70","country_code":"CN","type":"education","lineage":["https://openalex.org/I27688046"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Wan","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, 411104, China","College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China","Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, 411104, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China","institution_ids":["https://openalex.org/I27688046"]},{"raw_affiliation_string":"Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Hunan Institute of Engineering, Xiangtan, China","institution_ids":["https://openalex.org/I27688046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100687937"],"corresponding_institution_ids":["https://openalex.org/I27688046"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.1716,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5417813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":"6","first_page":"6329","last_page":"6342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9846000075340271,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9480293989181519},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.8321677446365356},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.784159779548645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6671680212020874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61922687292099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6121402978897095},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5939117670059204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.551083505153656},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5510401129722595},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5405856370925903},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5151635408401489},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49936890602111816},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.44420355558395386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29728904366493225},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14305412769317627},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.1391853392124176}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9480293989181519},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8321677446365356},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.784159779548645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671680212020874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61922687292099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6121402978897095},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5939117670059204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.551083505153656},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5510401129722595},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5405856370925903},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5151635408401489},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49936890602111816},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.44420355558395386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29728904366493225},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14305412769317627},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.1391853392124176},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01065-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01065-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01065-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ae61d719eeb467d8f74e9fbd159a5dd","is_oa":true,"landing_page_url":"https://doaj.org/article/1ae61d719eeb467d8f74e9fbd159a5dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6329-6342 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01065-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01065-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01065-9.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1203978572","display_name":null,"funder_award_id":"62006075","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1489678310","display_name":null,"funder_award_id":"21A0460","funder_id":"https://openalex.org/F4320321471","funder_display_name":"Hunan Provincial Science and Technology Department"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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/F4320321471","display_name":"Hunan Provincial Science and Technology Department","ror":"https://ror.org/04qgr7x96"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381587093.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2013668940","https://openalex.org/W2021150359","https://openalex.org/W2111072639","https://openalex.org/W2141695047","https://openalex.org/W2301541953","https://openalex.org/W2344244807","https://openalex.org/W2408701322","https://openalex.org/W2584047031","https://openalex.org/W2611196319","https://openalex.org/W2748551393","https://openalex.org/W2748846029","https://openalex.org/W2782662800","https://openalex.org/W2783774496","https://openalex.org/W2793270624","https://openalex.org/W2884733963","https://openalex.org/W2896840640","https://openalex.org/W2897177582","https://openalex.org/W2914877003","https://openalex.org/W2933860896","https://openalex.org/W2969356665","https://openalex.org/W2995430847","https://openalex.org/W2995732134","https://openalex.org/W3045883990","https://openalex.org/W3081739105","https://openalex.org/W3098281028","https://openalex.org/W3098978449","https://openalex.org/W3133850968","https://openalex.org/W3196117461"],"related_works":["https://openalex.org/W4213314600","https://openalex.org/W3211319599","https://openalex.org/W2122825543","https://openalex.org/W2067443264","https://openalex.org/W4388594321","https://openalex.org/W1993717606","https://openalex.org/W2951046768","https://openalex.org/W2110152839","https://openalex.org/W2104032996","https://openalex.org/W2941529183"],"abstract_inverted_index":{"Abstract":[0],"It":[1],"is":[2,53,69,100,116,145],"well":[3],"known":[4],"that":[5,140],"discriminative":[6,49,77],"sparse":[7],"representation":[8],"can":[9],"significantly":[10],"improve":[11],"the":[12,28,67,92,96,122,125,141],"performance":[13,30],"of":[14,62,124],"image":[15,134],"classification.":[16],"However,":[17],"there":[18],"remain":[19],"several":[20,128],"tricky":[21],"issues":[22],"to":[23,27,55,102],"be":[24],"addressed":[25],"due":[26],"unsatisfied":[29],"and":[31,86,106],"high":[32],"time":[33],"consumption.":[34],"In":[35],"this":[36,63],"paper,":[37],"a":[38],"novel":[39],"classification":[40,135],"framework":[41,144],"called":[42],"weighted":[43],"extreme":[44],"learning":[45,51,94],"machine":[46],"exponential":[47,74],"regularized":[48,75],"dictionary":[50],"(WELM-ERDDL)":[52],"proposed":[54,126,142],"address":[56],"these":[57],"issues.":[58],"The":[59,137],"main":[60],"contributions":[61],"paper":[64],"include":[65],"(1)":[66],"WELM":[68],"embedded":[70],"with":[71],"ERDDL":[72],"via":[73],"linear":[76],"analysis":[78],"(ERLDA)":[79],"for":[80,118],"feature":[81,88],"mappings":[82],"while":[83],"enabling":[84],"nonlinear":[85],"diverse":[87],"representation;":[89],"(2)":[90],"in":[91,153],"ELM":[93],"process,":[95],"elastic":[97],"net":[98],"regularization":[99],"utilized":[101],"optimize":[103],"more":[104,147],"robust":[105],"meaningful":[107],"output":[108],"weights;":[109],"(3)":[110],"an":[111],"effective":[112],"weight":[113],"update":[114],"rule":[115],"designed":[117],"WELM.":[119],"To":[120],"verify":[121],"effectiveness":[123],"method,":[127],"experiments":[129],"are":[130],"conducted":[131],"on":[132],"real-world":[133],"databases.":[136],"results":[138],"show":[139],"WELM-ERDDL":[143],"even":[146],"efficient":[148],"than":[149],"other":[150],"state-of-the-art":[151],"algorithms":[152],"general.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
