乐胖代购免代理版

{"id":"https://openalex.org/W4401748610","doi":"https://doi.org/10.1109/tcyb.2024.3443198","title":"Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning","display_name":"Differentiated Anchor Quantity Assisted Incomplete Multiview Clustering Without Number-Tuning","publication_year":2024,"publication_date":"2024-08-22","ids":{"openalex":"https://openalex.org/W4401748610","doi":"https://doi.org/10.1109/tcyb.2024.3443198","pmid":"https://pubmed.ncbi.nlm.nih.gov/39172600"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3443198","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5085812196","display_name":"Shengju Yu","orcid":"https://orcid.org/0000-0003-1602-2231"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengju Yu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025331095","display_name":"Pei Zhang","orcid":"https://orcid.org/0000-0002-3018-5080"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Zhang","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Lab, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009251223","display_name":"Zhibin Dong","orcid":"https://orcid.org/0000-0001-7829-4924"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Dong","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035092422","display_name":"Hengfu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengfu Yang","raw_affiliation_strings":["School of Computer Science, Hunan First Normal University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan First Normal University, Changsha, China","institution_ids":["https://openalex.org/I916048824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"funder","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.004,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.760115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":88},"biblio":{"volume":"54","issue":"11","first_page":"7024","last_page":"7037"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9925,"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":0.9925,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9821,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9815,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7571102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4823634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3883475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3450837}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3443198","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39172600","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62276271"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62325604"}],"datasets":[],"versions":[],"referenced_works_count":49,"referenced_works":["https://openalex.org/W1879834137","https://openalex.org/W2051549110","https://openalex.org/W2181159407","https://openalex.org/W2560185252","https://openalex.org/W2577472518","https://openalex.org/W2604120189","https://openalex.org/W2903938664","https://openalex.org/W2963517422","https://openalex.org/W2964809302","https://openalex.org/W2965510190","https://openalex.org/W2997739739","https://openalex.org/W3008561560","https://openalex.org/W3021342796","https://openalex.org/W3044063956","https://openalex.org/W3047358409","https://openalex.org/W3083529857","https://openalex.org/W3101337787","https://openalex.org/W3128918602","https://openalex.org/W3135754249","https://openalex.org/W3136737181","https://openalex.org/W3155527329","https://openalex.org/W3159374025","https://openalex.org/W3165208855","https://openalex.org/W3175014629","https://openalex.org/W3206934290","https://openalex.org/W3208823574","https://openalex.org/W3215458518","https://openalex.org/W4200226646","https://openalex.org/W4210335338","https://openalex.org/W4220873374","https://openalex.org/W4220898301","https://openalex.org/W4280583218","https://openalex.org/W4285506431","https://openalex.org/W4288061794","https://openalex.org/W4290713716","https://openalex.org/W4304080225","https://openalex.org/W4304091655","https://openalex.org/W4306913594","https://openalex.org/W4312574624","https://openalex.org/W4313041774","https://openalex.org/W4315926876","https://openalex.org/W4386523149","https://openalex.org/W4388919401","https://openalex.org/W4393160068","https://openalex.org/W4393160394","https://openalex.org/W4395069475","https://openalex.org/W4396528656","https://openalex.org/W4399768242","https://openalex.org/W4400314269"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3002753104","https://openalex.org/W2748952813","https://openalex.org/W2600246793","https://openalex.org/W2142036596","https://openalex.org/W2077600819","https://openalex.org/W2072657027","https://openalex.org/W2061531152","https://openalex.org/W2007980826","https://openalex.org/W1979597421"],"abstract_inverted_index":{"Incomplete":[0],"multiview":[1,35,164],"clustering":[2],"(IMVC)":[3],"generally":[4],"requires":[5],"the":[6,12,32,40,64,72,115,151,171,197,217,222,237],"number":[7,19,74,147],"of":[8,34,47,75,90,99,148,224],"anchors":[9,48,76],"to":[10,21,69,79,94,113,176,195],"be":[11,22,62],"same":[13],"in":[14,51,256],"all":[15,124,156],"views.":[16,174],"Also,":[17],"this":[18,52,139],"needs":[20],"tuned":[23],"with":[24,159,209],"extra":[25],"manual":[26],"efforts.":[27],"This":[28],"not":[29,128],"only":[30],"degenerates":[31],"diversity":[33],"data":[36],"but":[37],"also":[38,169,202],"limits":[39],"model's":[41],"scalability.":[42],"For":[43],"generating":[44],"differentiated":[45],"numbers":[46,101,122],"without":[49],"tuning,":[50],"article":[53],"we":[54,92,136,182,201],"devise":[55],"a":[56,97,145,184,205],"novel":[57],"framework":[58],"named":[59],"DAQINT.":[60],"To":[61],"specific,":[63],"most":[65],"perfect":[66],"solution":[67],"is":[68,84],"jointly":[70],"find":[71],"optimal":[73,116],"that":[77,138,187],"belongs":[78],"respective":[80],"view.":[81],"Regretfully,":[82],"it":[83],"extremely":[85],"time":[86],"consuming.":[87],"In":[88,118],"view":[89,143],"this,":[91],"choose":[93],"first":[95],"offer":[96],"set":[98],"anchor":[100],"for":[102],"each":[103,142],"view,":[104],"and":[105,126,191,212,245,253],"then":[106],"integrate":[107],"their":[108],"contributions":[109],"by":[110,247],"adaptive":[111],"weighting":[112,134],"approximate":[114],"number.":[117],"particular,":[119],"these":[120,178],"offered":[121],"are":[123,158],"predefined":[125],"do":[127],"require":[129],"any":[130],"tuning.":[131],"Through":[132],"adaptively":[133],"them,":[135],"hold":[137],"equivalently":[140],"makes":[141],"enjoy":[144],"different":[146],"anchors.":[149],"Accordingly,":[150],"bipartite":[152,180],"graphs":[153],"generated":[154],"on":[155,216,233],"views":[157],"diverse":[160],"scales.":[161],"Besides":[162],"exploring":[163],"features":[165],"more":[166],"deeply,":[167],"they":[168],"balance":[170],"importance":[172],"between":[173],"Then,":[175],"fuse":[177],"multiscale":[179],"graphs,":[181],"design":[183],"combination":[185],"strategy":[186],"owns":[188],"linear":[189,210],"computation":[190],"storage":[192],"overheads.":[193],"Afterward,":[194],"solve":[196],"resulting":[198],"optimization":[199],"problem,":[200],"carefully":[203],"develop":[204],"three-step":[206],"iterative":[207],"algorithm":[208],"complexities":[211],"demonstrated":[213],"convergence.":[214],"Experiments":[215],"multiple":[218],"public":[219],"datasets":[220],"validate":[221],"superiority":[223],"DAQINT":[225,235],"against":[226],"several":[227],"advanced":[228],"IMVC":[229],"methods,":[230],"such":[231],"as":[232],"Mfeat,":[234],"surpasses":[236],"competitors":[238],"like":[239],"MKC,":[240],"EEIMVC,":[241],"FLSD,":[242],"DSIMVC,":[243],"IMVC-CBG,":[244],"DCP":[246],"36.65%,":[248],"6.33%,":[249],"48.53%,":[250],"22.46%,":[251],"15.06%,":[252],"32.04%,":[254],"respectively,":[255],"ACC.":[257]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4401748610","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-04-29T13:41:16.991611","created_date":"2024-08-23"}