{"id":"https://openalex.org/W4402125159","doi":"https://doi.org/10.1109/tnnls.2024.3442435","title":"Tensorized Soft Label Learning Based on Orthogonal NMF","display_name":"Tensorized Soft Label Learning Based on Orthogonal NMF","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4402125159","doi":"https://doi.org/10.1109/tnnls.2024.3442435","pmid":"https://pubmed.ncbi.nlm.nih.gov/39222452"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3442435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3442435","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5100404507","display_name":"Fangfang Li","orcid":"https://orcid.org/0000-0001-6850-2857"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Li","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5082-2940","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417694","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0001-8217-5952"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-8217-5952","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008622229","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0003-1810-1566"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-1810-1566","affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7154,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90464164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"7","first_page":"13219","last_page":"13231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.48391276597976685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41073691844940186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37585902214050293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48391276597976685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41073691844940186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37585902214050293}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3442435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3442435","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39222452","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39222452","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1743638878","display_name":null,"funder_award_id":"ZR202102180986","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3118748497","display_name":null,"funder_award_id":"62176203","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1902027874","https://openalex.org/W2007339694","https://openalex.org/W2007972815","https://openalex.org/W2043571470","https://openalex.org/W2134529554","https://openalex.org/W2142827986","https://openalex.org/W2168103112","https://openalex.org/W2210977594","https://openalex.org/W2296531836","https://openalex.org/W2405459681","https://openalex.org/W2441795274","https://openalex.org/W2518130590","https://openalex.org/W2526561371","https://openalex.org/W2571268788","https://openalex.org/W2584959193","https://openalex.org/W2586686153","https://openalex.org/W2587115404","https://openalex.org/W2608812095","https://openalex.org/W2752197020","https://openalex.org/W2756626360","https://openalex.org/W2801275424","https://openalex.org/W2803978698","https://openalex.org/W2809368372","https://openalex.org/W2888654602","https://openalex.org/W2968893289","https://openalex.org/W2998619052","https://openalex.org/W3003832334","https://openalex.org/W3007476478","https://openalex.org/W3016050434","https://openalex.org/W3042596627","https://openalex.org/W3044063956","https://openalex.org/W3083629845","https://openalex.org/W3117265891","https://openalex.org/W3120807512","https://openalex.org/W3130503331","https://openalex.org/W3134487894","https://openalex.org/W3183553932","https://openalex.org/W3185773261","https://openalex.org/W4210335338","https://openalex.org/W4286829927","https://openalex.org/W4294192418","https://openalex.org/W4312643661","https://openalex.org/W4383215492","https://openalex.org/W6680012447","https://openalex.org/W6685357932"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Recently,":[0],"a":[1,90,133],"strong":[2,134],"interest":[3],"has":[4],"been":[5],"in":[6,103,114],"multiview":[7,37,196],"high-dimensional":[8,29],"data":[9,30],"collected":[10],"through":[11],"cross-domain":[12],"or":[13],"various":[14],"feature":[15],"extraction":[16],"mechanisms.":[17],"Nonnegative":[18],"matrix":[19,52,92,126],"factorization":[20],"(NMF)":[21],"is":[22],"an":[23,171],"effective":[24],"method":[25],"for":[26,108],"clustering":[27,38,197],"these":[28],"with":[31,194],"clear":[32],"physical":[33],"significance.":[34],"However,":[35],"existing":[36],"based":[39],"on":[40],"NMF":[41],"only":[42],"measures":[43],"the":[44,47,50,55,60,71,81,85,104,123,137,144,153,179,183,202],"difference":[45],"between":[46,59],"elements":[48],"of":[49,84,89,93,136,155,182,188,204],"coefficient":[51,91,105],"without":[53,148],"considering":[54],"spatial":[56,101],"structure":[57,102],"relationship":[58],"elements.":[61],"And":[62],"they":[63],"often":[64],"require":[65],"postprocessing":[66],"to":[67,122,127,142,162,166,175],"achieve":[68],"clustering,":[69],"making":[70],"algorithms":[72],"unstable.":[73],"To":[74,151],"address":[75],"this":[76],"issue,":[77],"we":[78,118,158,199],"propose":[79],"minimizing":[80],"Schatten":[82],"p-norm":[83],"tensor,":[86],"which":[87],"consists":[88],"different":[94,115,156],"views.":[95,116],"This":[96,139],"approach":[97],"considers":[98],"each":[99,167],"element's":[100],"matrices,":[106],"crucial":[107],"effectively":[109],"capturing":[110],"complementary":[111],"information":[112],"presented":[113],"Furthermore,":[117],"apply":[119],"orthogonal":[120],"constraints":[121],"cluster":[124,145],"index":[125],"make":[128],"it":[129],"sparse":[130],"and":[131,177,192],"provide":[132],"interpretation":[135],"clustering.":[138],"allows":[140],"us":[141],"obtain":[143],"label":[146],"directly":[147],"any":[149],"postprocessing.":[150],"distinguish":[152],"importance":[154],"views,":[157],"utilize":[159],"adaptive":[160],"weights":[161,165],"assign":[163],"varying":[164],"view.":[168],"We":[169],"introduce":[170],"unsupervised":[172],"optimization":[173],"scheme":[174],"solve":[176],"analyze":[178],"computational":[180],"complexity":[181],"model.":[184],"Through":[185],"comprehensive":[186],"evaluations":[187],"six":[189],"benchmark":[190],"datasets":[191],"comparisons":[193],"several":[195],"algorithms,":[198],"empirically":[200],"demonstrate":[201],"superiority":[203],"our":[205],"proposed":[206],"method.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}