{"id":"https://openalex.org/W3139475294","doi":"https://doi.org/10.1155/2021/6669081","title":"Label Rectification Learning through Kernel Extreme Learning Machine","display_name":"Label Rectification Learning through Kernel Extreme Learning Machine","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3139475294","doi":"https://doi.org/10.1155/2021/6669081","mag":"3139475294"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6669081","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6669081","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6669081.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2021/6669081.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003131468","display_name":"Qiang Cai","orcid":"https://orcid.org/0000-0002-3865-9252"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]},{"id":"https://openalex.org/I4210135053","display_name":"Quality Research","ror":"https://ror.org/03v0zfc19","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210135053"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qiang Cai","raw_affiliation_strings":["National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","School of Computer, Beijing Technology and Business University, 100048","Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","institution_ids":["https://openalex.org/I4210135053"]},{"raw_affiliation_string":"School of Computer, Beijing Technology and Business University, 100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005313","display_name":"Fenghai Li","orcid":"https://orcid.org/0000-0003-1744-206X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]},{"id":"https://openalex.org/I4210135053","display_name":"Quality Research","ror":"https://ror.org/03v0zfc19","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210135053"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Fenghai Li","raw_affiliation_strings":["National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","School of Computer, Beijing Technology and Business University, 100048"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","institution_ids":["https://openalex.org/I4210135053"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"School of Computer, Beijing Technology and Business University, 100048","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405119","display_name":"Yifan Chen","orcid":"https://orcid.org/0000-0001-5494-4435"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Chen","raw_affiliation_strings":["Canvard, Beijing Technology and Business University, Beijing 100048, China","Canvard, Beijing Technology and Business University, Beijing 100048"],"affiliations":[{"raw_affiliation_string":"Canvard, Beijing Technology and Business University, Beijing 100048, China","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"Canvard, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108049287","display_name":"Haisheng Li","orcid":"https://orcid.org/0000-0003-4861-0513"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]},{"id":"https://openalex.org/I4210135053","display_name":"Quality Research","ror":"https://ror.org/03v0zfc19","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210135053"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Haisheng Li","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","School of Computer, Beijing Technology and Business University, 100048"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","institution_ids":["https://openalex.org/I4210135053"]},{"raw_affiliation_string":"School of Computer, Beijing Technology and Business University, 100048","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602897","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0001-8903-2903"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]},{"id":"https://openalex.org/I4210135053","display_name":"Quality Research","ror":"https://ror.org/03v0zfc19","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210135053"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","School of Computer, Beijing Technology and Business University, 100048"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","institution_ids":["https://openalex.org/I4210135053"]},{"raw_affiliation_string":"School of Computer, Beijing Technology and Business University, 100048","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100371490","display_name":"Shanshan Li","orcid":"https://orcid.org/0000-0002-6298-731X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]},{"id":"https://openalex.org/I4210135053","display_name":"Quality Research","ror":"https://ror.org/03v0zfc19","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210135053"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shanshan Li","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","School of Computer, Beijing Technology and Business University, 100048"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"National Engineering Laboratory for Agri-product Quality Traceability, 100048 Beijing","institution_ids":["https://openalex.org/I4210135053"]},{"raw_affiliation_string":"School of Computer, Beijing Technology and Business University, 100048","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103005313"],"corresponding_institution_ids":["https://openalex.org/I179026463","https://openalex.org/I4210135053"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4199,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67779413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9995999932289124,"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":0.9995999932289124,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14189","display_name":"Intravenous Infusion Technology and Safety","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.868925929069519},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.5765782594680786},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5552659034729004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5477832555770874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5310483574867249},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42021965980529785},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22467315196990967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.868925929069519},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.5765782594680786},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5552659034729004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5477832555770874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5310483574867249},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42021965980529785},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22467315196990967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6669081","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6669081","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6669081.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23ac0b9c45c14a15ab5d2e4a2f375e47","is_oa":true,"landing_page_url":"https://doaj.org/article/23ac0b9c45c14a15ab5d2e4a2f375e47","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6669081","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6669081","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6669081.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5500913071","display_name":null,"funder_award_id":"PXM2019 014213 000007","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G5616351183","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5799217601","display_name":null,"funder_award_id":"61877002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5913835355","display_name":null,"funder_award_id":"PXM2019_014213_000007","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/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3139475294.pdf","grobid_xml":"https://content.openalex.org/works/W3139475294.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2026131661","https://openalex.org/W2097117768","https://openalex.org/W2111072639","https://openalex.org/W2124386111","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2331143823","https://openalex.org/W2480140235","https://openalex.org/W2772551569","https://openalex.org/W2889631368","https://openalex.org/W2898124204","https://openalex.org/W2901249224","https://openalex.org/W2904156796","https://openalex.org/W2905016238","https://openalex.org/W2922509574","https://openalex.org/W2963446712","https://openalex.org/W2969985801","https://openalex.org/W2996411315","https://openalex.org/W3081930016","https://openalex.org/W3104087655","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Along":[0],"with":[1,125],"the":[2,6,44,91,96,100,110],"strong":[3],"representation":[4],"of":[5,20,47,74,112],"convolutional":[7],"neural":[8],"network":[9],"(CNN),":[10],"image":[11,56],"classification":[12,35,57],"tasks":[13],"have":[14],"achieved":[15],"considerable":[16],"progress.":[17],"However,":[18],"majority":[19],"works":[21],"focus":[22],"on":[23,42,60,105],"designing":[24],"complicated":[25],"and":[26,86],"redundant":[27],"architectures":[28],"for":[29,128],"extracting":[30,79],"informative":[31],"features":[32],"to":[33,98],"improve":[34],"performance.":[36,130],"In":[37],"this":[38],"study,":[39],"we":[40,52],"concentrate":[41],"rectifying":[43,90],"incomplete":[45,80,93],"outputs":[46],"CNN.":[48],"To":[49],"be":[50,122],"concrete,":[51],"propose":[53],"an":[54],"innovative":[55],"method":[58,117],"based":[59],"Label":[61],"Rectification":[62],"Learning":[63],"(LRL)":[64],"through":[65,82],"kernel":[66],"extreme":[67],"learning":[68],"machine":[69],"(KELM).":[70],"It":[71],"mainly":[72],"consists":[73],"two":[75],"steps:":[76],"(1)":[77],"preclassification,":[78],"labels":[81,94],"a":[83],"pretrained":[84],"CNN,":[85],"(2)":[87],"label":[88],"rectification,":[89],"generated":[92],"by":[95],"KELM":[97],"obtain":[99],"rectified":[101],"labels.":[102],"Experiments":[103],"conducted":[104],"publicly":[106],"available":[107],"datasets":[108],"demonstrate":[109],"effectiveness":[111],"our":[113,116],"method.":[114],"Notably,":[115],"is":[118],"extensible":[119],"which":[120],"can":[121],"easily":[123],"integrated":[124],"off\u2010the\u2010shelf":[126],"networks":[127],"improving":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
