{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:11:37Z","timestamp":1781194297596,"version":"3.54.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"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":["61802059"],"award-info":[{"award-number":["61802059"]}],"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":["61773118"],"award-info":[{"award-number":["61773118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu","doi-asserted-by":"publisher","award":["BK20180365"],"award-info":[{"award-number":["BK20180365"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1500802"],"award-info":[{"award-number":["2018YFB1500802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Zhishan Young Scholar Program of Southeast University and the Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2242020R40119"],"award-info":[{"award-number":["2242020R40119"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FL-170100117"],"award-info":[{"award-number":["FL-170100117"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP-180103424"],"award-info":[{"award-number":["DP-180103424"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tcyb.2020.2996684","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T20:28:38Z","timestamp":1591907318000},"page":"1772-1784","source":"Crossref","is-referenced-by-count":22,"title":["Efficient Unsupervised Dimension Reduction for Streaming Multiview Data"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0986-9760","authenticated-orcid":false,"given":"Liping","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weili","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6667-3166","authenticated-orcid":false,"given":"Haikun","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyan","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7225-5449","authenticated-orcid":false,"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2824309"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2751646"},{"issue":"1","key":"ref3","first-page":"1","article-title":"Numerical analysis near singularities in RBF networks","volume":"19","author":"Guo","year":"2018","journal-title":"J. Mach. Learn. Res."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2890017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05853-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2956556"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2421309"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2627806"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2777489"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2749576"},{"key":"ref12","article-title":"Multi-view dimensionality reduction via canonical correlation analysis","author":"Foster","year":"2008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12108"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2445757"},{"key":"ref15","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kumar"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2202075"},{"key":"ref17","first-page":"1655","article-title":"Exclusive feature learning on arbitrary structures via l1,2-norm","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kong"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2842052"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.132"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2742705"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983780"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2930468"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.74"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.07.015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2399456"},{"key":"ref26","first-page":"1682","article-title":"Convex multi-view subspace learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"White"},{"key":"ref27","first-page":"2217","article-title":"Multi-view exclusive unsupervised dimension reduction for video-based facial expression recognition","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Xie"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2563981"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2821921"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-41299-9_53"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2793863"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2593344"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2804940"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2929713"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"ref36","first-page":"551","article-title":"Online passive-aggressive algorithms","volume":"7","author":"Crammer","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref37","first-page":"928","article-title":"Online convex programming and generalized infinitesimal gradient ascent","volume-title":"Proc. 20th Int. Conf. Mach. Learn. (ICML)","author":"Zinkevich"},{"issue":"15","key":"ref38","first-page":"495","article-title":"LIBOL: A library for online learning algorithms","volume":"15","author":"Hoi","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5003-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2383395"},{"key":"ref41","first-page":"3103","article-title":"Breaking the curse of kernelization: Budgeted stochastic gradient descent for large-scale SVM training","volume":"13","author":"Wang","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2869891"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2625419"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0160"},{"key":"ref45","first-page":"407","article-title":"One-pass multi-view learning","volume-title":"Proc. Asian Conf. Mach. Learn.","author":"Zhu"},{"key":"ref46","first-page":"1786","article-title":"Stochastic optimization for multiview representation learning using partial least squares","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arora"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296703"},{"key":"ref48","first-page":"777","article-title":"Online partial least square optimization: Dropping convexity for better efficiency and scalability","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.149"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2477296"},{"key":"ref52","volume-title":"Fast computation of moore-penrose inverse matrices","author":"Courrieu","year":"2008"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/VSPETS.2005.1570899"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.59"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1110"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0594-8"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9733099\/09115264.pdf?arnumber=9115264","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:36:56Z","timestamp":1704839816000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9115264\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":56,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2020.2996684","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}