{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:40:50Z","timestamp":1772905250513,"version":"3.50.1"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91648208"],"award-info":[{"award-number":["91648208"]}],"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":["61976175"],"award-info":[{"award-number":["61976175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017440","name":"National Natural Science Foundation of China-Shenzhen Robotics Research Center Project","doi-asserted-by":"publisher","award":["U1613219"],"award-info":[{"award-number":["U1613219"]}],"id":[{"id":"10.13039\/100017440","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Natural Science Basic Research Plan in Shaanxi Province of China","award":["2019JZ-05"],"award-info":[{"award-number":["2019JZ-05"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tcyb.2019.2952398","type":"journal-article","created":{"date-parts":[[2019,11,28]],"date-time":"2019-11-28T22:04:21Z","timestamp":1574978661000},"page":"3298-3311","source":"Crossref","is-referenced-by-count":31,"title":["Correntropy-Based Multiview Subspace Clustering"],"prefix":"10.1109","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4913-9818","authenticated-orcid":false,"given":"Lei","family":"Xing","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1710-3818","authenticated-orcid":false,"given":"Badong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shaoyi","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8427-1021","authenticated-orcid":false,"given":"Yuantao","family":"Gu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1608-8257","authenticated-orcid":false,"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","author":"lin","year":"2011","journal-title":"Proc 24th Adv Neural Inf Process Syst"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2553459"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.384"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1090\/chel\/367"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-7970-4"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"ref38","first-page":"663","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1515\/9781400873173"},{"key":"ref33","first-page":"2153","article-title":"Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering","author":"wang","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.08.024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2457339"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"ref34","first-page":"2149","article-title":"Robust multi-view spectral clustering via low-rank and sparse decomposition","author":"xia","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2727278"},{"key":"ref62","first-page":"475","article-title":"Two-stage sparse representation for robust recognition on large-scale database","author":"he","year":"2010","journal-title":"Proc 24th AAAI Conf Artif Intell"},{"key":"ref61","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1109\/TPAMI.2010.220","article-title":"Maximum correntropy criterion for robust face recognition","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2804326"},{"key":"ref28","first-page":"2408","article-title":"Multi-view clustering and semi-supervised classification with adaptive neighbours","author":"nie","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651372"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2681670"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/34.120331"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07416-0"},{"key":"ref29","first-page":"387","article-title":"Convex subspace representation learning from multi-view data","author":"guo","year":"2013","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1137\/030600862"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.102"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/83.551699"},{"key":"ref2","first-page":"352","article-title":"Multi-view clustering and feature learning via structured sparsity","volume":"28","author":"wang","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.43"},{"key":"ref20","first-page":"3476","article-title":"Robust multiple kernel $k-$ means using $l_{2,1}$ -norm","author":"du","year":"2015","journal-title":"Proc 24th Int Conf Artif Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.005"},{"key":"ref21","first-page":"1888","article-title":"Multiple kernel $k-$ means clustering with matrix-induced regularization","author":"liu","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-014-0307-6"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/TPAMI.2011.255","article-title":"Optimized data fusion for kernel $k-$ means clustering","volume":"34","author":"yu","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref26","first-page":"1881","article-title":"Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification","author":"nie","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref25","first-page":"1","article-title":"GOMES: A group-aware multi-view fusion approach towards real-world image clustering","author":"xue","year":"2015","journal-title":"Proc IEEE Int Conf Multimedia Expo (ICME)"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1142\/S012906570000034X"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.10.004"},{"key":"ref58","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","author":"scholkopf","year":"2001","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2204435"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896065"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2495116"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2445757"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383137"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/BF02294050"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/375"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126528"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2739691"},{"key":"ref14","first-page":"2222","article-title":"Multimodal learning with deep Boltzmann machines","author":"srivastava","year":"2012","journal-title":"Proc 25th Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10648-007-9047-2"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2591583"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2311377"},{"key":"ref18","first-page":"2392","article-title":"Incomplete multi-modal visual data grouping","author":"zhao","year":"2016","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.55"},{"key":"ref4","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","author":"kumar","year":"0","journal-title":"Proc Adv Neural Inf Process Syst 24"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2012.142"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459183"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10095"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.482"},{"key":"ref7","first-page":"28","article-title":"Learning from multiple partially observed views—An application to multilingual text categorization","author":"amini","year":"2009","journal-title":"Proc 22nd Adv Neural Inf Process Syst"},{"key":"ref49","first-page":"1062","article-title":"Optimal mean robust principal component analysis","author":"nie","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref9","first-page":"1968","article-title":"Partial multi-view clustering","author":"li","year":"2014","journal-title":"Proc AAAI"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2319308"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2539127"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2669903"},{"key":"ref42","first-page":"461","article-title":"Efficient dense subspace clustering","author":"ji","year":"2014","journal-title":"Proc IEEE Winter Conf Appl Comput Vis"},{"key":"ref41","article-title":"Analysis and improvement of low rank representation for subspace segmentation","author":"wei","year":"2010"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1570-2"},{"key":"ref43","article-title":"The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices","author":"lin","year":"2009"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9434383\/08917588.pdf?arnumber=8917588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T21:57:44Z","timestamp":1722117464000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8917588\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":79,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2019.2952398","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}