{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:23:07Z","timestamp":1771024987478,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"973 Program","doi-asserted-by":"crossref","award":["2010CB327905"],"award-info":[{"award-number":["2010CB327905"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61272329"],"award-info":[{"award-number":["61272329"]}],"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":["61273034"],"award-info":[{"award-number":["61273034"]}],"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":["61070104"],"award-info":[{"award-number":["61070104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/tnnls.2014.2335234","type":"journal-article","created":{"date-parts":[[2014,7,28]],"date-time":"2014-07-28T18:31:16Z","timestamp":1406572276000},"page":"1233-1246","source":"Crossref","is-referenced-by-count":73,"title":["Partially Shared Latent Factor Learning With Multiview Data"],"prefix":"10.1109","volume":"26","author":[{"family":"Jing Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yu Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zechao Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zhi-Hua Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Hanqing Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Unsupervised feature selection using nonnegative spectral analysis","author":"li","year":"2012","journal-title":"Proc AAAI"},{"key":"ref38","article-title":"Efficient and robust feature selection via joint l21-norms minimization","author":"nie","year":"2010","journal-title":"Neural Information Processing Systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401969"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.217"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-008-0134-6"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.04.003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874183"},{"key":"ref36","first-page":"281","article-title":"R $_{1}$ -PCA: Rotational invariant L $_{1}$ -norm principal component analysis for robust subspace factorization","author":"ding","year":"2006","journal-title":"Proc 23rd Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072011"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.28"},{"key":"ref10","article-title":"Active learning literature survey","author":"settles","year":"2009"},{"key":"ref11","first-page":"2388","article-title":"Multi-view active learning in the non-realizable case","author":"wang","year":"2010","journal-title":"Advances in neural information processing systems"},{"key":"ref40","article-title":"Clustering-guided sparse structural learning for unsupervised feature selection","author":"li","year":"0","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390301"},{"key":"ref13","first-page":"1135","article-title":"A new analysis of co-training","author":"wang","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref14","first-page":"675","article-title":"Semi-supervised learning with very few labeled training examples","author":"zhou","year":"2007","journal-title":"Proc 22nd AAAI Conf Artif Intell"},{"key":"ref15","first-page":"2997","article-title":"Collaborative PLSA for multi-view clustering","author":"jiang","year":"2012","journal-title":"Proc 21st Int Conf Pattern Recognit"},{"key":"ref16","first-page":"2598","article-title":"Multi-view k-means clustering on big data","author":"cai","year":"2013","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.07.015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.218"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.262"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835951"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007692713085"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.277"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref6","article-title":"A survey on multi-view learning","volume":"abs 1304 5634","author":"xu","year":"2013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10095"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"33","author":"cai","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0209-z"},{"key":"ref7","first-page":"134","article-title":"Multi-view hidden Markov perceptrons","author":"brefeld","year":"2005","journal-title":"Proceedings of the GI Workshops"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13208-7_54"},{"key":"ref9","first-page":"454","article-title":"Analyzing Co-training style algorithms","author":"wang","year":"2007","journal-title":"Proc 18th Eur Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553391"},{"key":"ref20","first-page":"352","article-title":"Multi-view clustering and feature learning via structured sparsity","author":"wang","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref22","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"Neural Information Processing Systems"},{"key":"ref21","first-page":"20","article-title":"Spectral clustering with two views","author":"de sa","year":"2005","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref24","first-page":"982","article-title":"Factorized latent spaces with structured sparsity","author":"jia","year":"2010","journal-title":"Neural Information Processing Systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102455"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85853-9_6"},{"key":"ref41","first-page":"28","author":"amini","year":"2009","journal-title":"Neural Information Processing Systems"},{"key":"ref26","first-page":"556","article-title":"Algorithms for non-negative matrix factorization","volume":"13","author":"lee","year":"2000","journal-title":"Neural Information Processing Systems"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.154"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"lee","year":"1999","journal-title":"Nature"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/7109211\/06866894.pdf?arnumber=6866894","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:05:57Z","timestamp":1642003557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/6866894"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":45,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2014.2335234","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6]]}}}