{"id":"https://openalex.org/W4320005594","doi":"https://doi.org/10.1109/tnnls.2023.3238041","title":"Multiview Clustering With Propagating Information Bottleneck","display_name":"Multiview Clustering With Propagating Information Bottleneck","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4320005594","doi":"https://doi.org/10.1109/tnnls.2023.3238041","pmid":"https://pubmed.ncbi.nlm.nih.gov/37022400"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3238041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3238041","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/A5078088762","display_name":"Shizhe Hu","orcid":"https://orcid.org/0000-0003-1301-2396"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhe Hu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-2396","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015728132","display_name":"Zenglin Shi","orcid":"https://orcid.org/0000-0002-1889-1409"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zenglin Shi","raw_affiliation_strings":["Informatics Institute, University of Amsterdam, XK Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1889-1409","affiliations":[{"raw_affiliation_string":"Informatics Institute, University of Amsterdam, XK Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087316018","display_name":"Xiaoqiang Yan","orcid":"https://orcid.org/0000-0002-0002-9300"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Yan","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0002-9300","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044240623","display_name":"Zhengzheng Lou","orcid":"https://orcid.org/0000-0002-6902-5260"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzheng Lou","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045940041","display_name":"Yangdong Ye","orcid":"https://orcid.org/0000-0001-7027-8313"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangdong Ye","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7027-8313","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0636,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78433853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"7","first_page":"9915","last_page":"9929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9940999746322632,"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/information-bottleneck-method","display_name":"Information bottleneck method","score":0.8312473297119141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7843708395957947},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7779386043548584},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7147102952003479},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5398691296577454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5364542603492737},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5222921371459961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4486722946166992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40153977274894714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33015477657318115}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.8312473297119141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7843708395957947},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7779386043548584},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7147102952003479},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5398691296577454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5364542603492737},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5222921371459961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4486722946166992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40153977274894714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33015477657318115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3238041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3238041","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:37022400","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37022400","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":[],"awards":[{"id":"https://openalex.org/G1130850028","display_name":"\u4f20\u64adIB\u65b9\u6cd5\u7684\u7814\u7a76","funder_award_id":"61772475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2002903803","display_name":null,"funder_award_id":"62176239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6600616813","display_name":null,"funder_award_id":"62206254","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W1538422756","https://openalex.org/W1760532998","https://openalex.org/W2020163092","https://openalex.org/W2054041160","https://openalex.org/W2099111195","https://openalex.org/W2105610271","https://openalex.org/W2107034620","https://openalex.org/W2110142955","https://openalex.org/W2151103935","https://openalex.org/W2155803963","https://openalex.org/W2164304065","https://openalex.org/W2166267120","https://openalex.org/W2187089797","https://openalex.org/W2742903190","https://openalex.org/W2758611985","https://openalex.org/W2804847616","https://openalex.org/W2809299793","https://openalex.org/W2880214242","https://openalex.org/W2897819140","https://openalex.org/W2898233200","https://openalex.org/W2944950957","https://openalex.org/W2950125590","https://openalex.org/W2954752948","https://openalex.org/W2964184826","https://openalex.org/W2970211290","https://openalex.org/W2980008268","https://openalex.org/W3005916310","https://openalex.org/W3008561560","https://openalex.org/W3011943167","https://openalex.org/W3015899030","https://openalex.org/W3016050434","https://openalex.org/W3021342796","https://openalex.org/W3023700315","https://openalex.org/W3047358409","https://openalex.org/W3094527485","https://openalex.org/W3111065871","https://openalex.org/W3126761820","https://openalex.org/W3149863265","https://openalex.org/W3176694003","https://openalex.org/W3203289427","https://openalex.org/W3217784147","https://openalex.org/W4282916903","https://openalex.org/W6632815874","https://openalex.org/W6637108112","https://openalex.org/W6677994088","https://openalex.org/W6682991666","https://openalex.org/W6685357932","https://openalex.org/W6729906282","https://openalex.org/W6739509182","https://openalex.org/W6762833281","https://openalex.org/W6838730525"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W2622284819","https://openalex.org/W1504394672","https://openalex.org/W2381356463","https://openalex.org/W3089381707","https://openalex.org/W4285254085","https://openalex.org/W3034190530","https://openalex.org/W2741297526","https://openalex.org/W4295728955","https://openalex.org/W3129794609"],"abstract_inverted_index":{"In":[0],"many":[1],"practical":[2],"applications,":[3],"massive":[4],"data":[5,51,71,77],"are":[6,194],"observed":[7],"from":[8,134,179,224],"multiple":[9,15,73,90],"sources,":[10],"each":[11,141,188],"of":[12,30,38,47,81,140,187,220,247],"which":[13],"contains":[14],"cohesive":[16],"views,":[17],"called":[18],"hierarchical":[19,117],"multiview":[20,63],"(HMV)":[21],"data,":[22],"such":[23],"as":[24],"image-text":[25],"objects":[26],"with":[27,72,78],"different":[28],"types":[29],"visual":[31],"and":[32,40,52,56,100,103,190,217],"textual":[33],"features.":[34],"Naturally,":[35],"the":[36,48,87,93,104,126,132,163,174,180,185,191,200,206,209,214,218,225,245,248],"inclusion":[37],"source":[39,99,142],"view":[41,46],"relationships":[42],"offers":[43],"a":[44,115,150,168,229],"comprehensive":[45],"input":[49],"HMV":[50],"achieves":[53],"an":[54],"informative":[55],"correct":[57],"clustering":[58,64,145,176],"result.":[59],"However,":[60],"most":[61],"existing":[62],"(MVC)":[65],"methods":[66],"can":[67,183],"only":[68],"process":[69,133],"single-source":[70],"views":[74,88],"or":[75],"multisource":[76],"single":[79],"type":[80],"feature,":[82],"failing":[83],"to":[84,124,143,161,198],"consider":[85],"all":[86],"across":[89],"sources.":[91],"Observing":[92],"rich":[94],"closely":[95],"related":[96],"multivariate":[97],"(i.e.,":[98],"view)":[101],"information":[102,107,118,156,222],"potential":[105],"dynamic":[106],"flow":[108],"interacting":[109],"among":[110],"them,":[111],"in":[112,167,195,213],"this":[113],"article,":[114],"general":[116],"propagation":[119,170],"model":[120],"is":[121,159,234],"first":[122],"built":[123],"address":[125],"above":[127],"challenging":[128],"problem.":[129],"It":[130,165],"describes":[131],"optimal":[135],"feature":[136],"subspace":[137],"learning":[138,147],"(OFSL)":[139],"final":[144],"structure":[146,177],"(CSL).":[148],"Then,":[149],"novel":[151],"self-guided":[152],"method":[153,233,251],"named":[154],"propagating":[155],"bottleneck":[157],"(PIB)":[158],"proposed":[160,249],"realize":[162],"model.":[164],"works":[166],"circulating":[169],"fashion,":[171],"so":[172],"that":[173],"resulting":[175],"obtained":[178],"last":[181],"iteration":[182],"\"self-guide\"":[184],"OFSL":[186,226],"source,":[189],"learned":[192,212],"subspaces":[193],"turn":[196],"used":[197],"conduct":[199],"subsequent":[201],"CSL.":[202],"We":[203],"theoretically":[204],"analyze":[205],"relationship":[207],"between":[208],"cluster":[210],"structures":[211],"CSL":[215],"phase":[216],"preservation":[219],"relevant":[221],"propagated":[223],"phase.":[227],"Finally,":[228],"two-step":[230],"alternating":[231],"optimization":[232],"carefully":[235],"designed":[236],"for":[237],"optimization.":[238],"Experimental":[239],"results":[240],"on":[241],"various":[242],"datasets":[243],"show":[244],"superiority":[246],"PIB":[250],"over":[252],"several":[253],"state-of-the-art":[254],"methods.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
