{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T22:15:33Z","timestamp":1778624133254,"version":"3.51.4"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC0831900"],"award-info":[{"award-number":["2018YFC0831900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61303015"],"award-info":[{"award-number":["61303015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673331"],"award-info":[{"award-number":["61673331"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004912","name":"AI in Law Advanced Deployed Discipline of Sichuan University, China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004912","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1109\/tcyb.2021.3087114","type":"journal-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T19:52:52Z","timestamp":1624996372000},"page":"12364-12378","source":"Crossref","is-referenced-by-count":79,"title":["Multiview Subspace Clustering Using Low-Rank Representation"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0827-8819","authenticated-orcid":false,"given":"Jie","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7222-4917","authenticated-orcid":false,"given":"Shengxiang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Informatics, De Montfort University, Leicester, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9549-284X","authenticated-orcid":false,"given":"Conor","family":"Fahy","sequence":"additional","affiliation":[{"name":"School of Computer Science and Informatics, De Montfort University, Leicester, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1177153"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.08.024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2883566"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.02.031"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.07.031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.08.077"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5756"},{"key":"ref9","first-page":"361","article-title":"Predictive subspace learning for multi-view data: A large margin approach","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2834867"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2877937"},{"key":"ref12","volume-title":"UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences","author":"Dua","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.383"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref16","volume-title":"The Reuters Dataset","author":"Greene","year":"2009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/11564126_49"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2870413"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2969684"},{"key":"ref20","volume-title":"Principal Component Analysis","author":"Jolliffe","year":"2002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5867"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.10"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00826"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9598"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2872063"},{"key":"ref27","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lin"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2553459"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.02.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2849757"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11617"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref34","first-page":"689","article-title":"Multimodal deep learning","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Ngiam"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.42"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2848470"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2608834"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873987"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1362-6"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6052"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2889560"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2953564"},{"key":"ref46","volume-title":"The Reuters Dataset","author":"Thoma","year":"2017"},{"key":"ref47","first-page":"352","article-title":"Multi-view clustering and feature learning via structured sparsity","volume-title":"Proc. 30th Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.8"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2457339"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2777489"},{"key":"ref52","first-page":"2153","article-title":"Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Wang"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2884715"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8950"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2922042"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2869789"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2952398"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.01.017"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2751646"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2877660"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.007"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102482"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2918495"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2873378"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9920527\/09468429.pdf?arnumber=9468429","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:57:45Z","timestamp":1705013865000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9468429\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":64,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3087114","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}