{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:06:04Z","timestamp":1777651564364,"version":"3.51.4"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61375065"],"award-info":[{"award-number":["61375065"]}],"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":["61625204"],"award-info":[{"award-number":["61625204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Science Foundation of China","doi-asserted-by":"publisher","award":["61432012"],"award-info":[{"award-number":["61432012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Science Foundation of China","doi-asserted-by":"publisher","award":["61432014"],"award-info":[{"award-number":["61432014"]}],"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":[[2018,6]]},"DOI":"10.1109\/tnnls.2017.2692773","type":"journal-article","created":{"date-parts":[[2017,5,12]],"date-time":"2017-05-12T21:46:48Z","timestamp":1494625608000},"page":"2651-2659","source":"Crossref","is-referenced-by-count":55,"title":["Graph Regularized Restricted Boltzmann Machine"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7016-9288","authenticated-orcid":false,"given":"Dongdong","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3341-4034","authenticated-orcid":false,"given":"Jiancheng","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5867-9322","authenticated-orcid":false,"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2222","article-title":"Multimodal learning with deep Boltzmann machines","author":"srivastava","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","first-page":"689","article-title":"Multimodal deep learning","author":"ngiam","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref33","first-page":"1745","article-title":"A local non-negative pursuit method for intrinsic manifold structure preservation","volume":"3","author":"chen","year":"2014","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref32","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref31","first-page":"55","article-title":"Sparse manifold clustering and embedding","volume":"24","author":"elhamifar","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref30","first-page":"234","article-title":"Locality preserving projections","volume":"16","author":"he","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.05.025"},{"key":"ref36","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":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.274"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2090535"},{"key":"ref62","first-page":"1849","article-title":"Fast $\\ell _{1}$ -minimization algorithms and an application in robust face recognition: A review","author":"yang","year":"2010","journal-title":"Proc 17th IEEE Int Conf Image Process (ICIP)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.198"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.03.013"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Science"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_32"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-39351-3"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.246"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.891193"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539962"},{"key":"ref21","first-page":"1359","article-title":"Learning sparse topographic representations with products of student-t distributions","author":"welling","year":"2002","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","first-page":"2002","article-title":"Generating more realistic images using gated MRF’s","author":"ranzato","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"621","article-title":"Factored 3-way restricted Boltzmann machines for modeling natural images","author":"ranzato","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref26","first-page":"1481","article-title":"Exponential family harmoniums with an application to information retrieval","author":"welling","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","first-page":"233","article-title":"A spike and slab restricted Boltzmann machine","author":"courville","year":"2011","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref50","first-page":"469","article-title":"Face recognition with local binary patterns","author":"ahonen","year":"2004","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref51","first-page":"1","article-title":"Descriptor based methods in the wild","author":"wolf","year":"2008","journal-title":"Workshop on Faces in 'Real-Life' Images Detection Alignment and Recognition"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.259"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.128"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995365"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995390"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1609\/aaai.v25i1.7900","article-title":"Large scale spectral clustering with landmark-based representation","author":"chen","year":"2011","journal-title":"Proc AAAI"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206547"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.04-07-510"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref40","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume":"2","author":"ng","year":"2002","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref12","first-page":"153","article-title":"Greedy layer-wise training of deep networks","volume":"19","author":"bengio","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","first-page":"448","article-title":"Deep Boltzmann machines","author":"salakhutdinov","year":"2009","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref14","first-page":"693","article-title":"Efficient learning of deep Boltzmann machines","author":"salakhutdinov","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref15","first-page":"1607","article-title":"Replicated softmax: An undirected topic model","author":"hinton","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.244"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288863"},{"key":"ref18","first-page":"385","article-title":"Unsupervised multi-manifold clustering by learning deep representation","author":"chen","year":"2017","journal-title":"Proc Workshops 31st AAAI Conf Artif Intell (AAAI)"},{"key":"ref19","first-page":"412","article-title":"Learning a nonlinear embedding by preserving class neighbourhood structure","author":"salakhutdinov","year":"2007","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-008-9080-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2312421"},{"key":"ref5","first-page":"73","article-title":"Restricted Boltzmann machines modeling human choice","author":"osogami","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.556"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.358"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref46","article-title":"Columbia object image library (COIL-20)","author":"nene","year":"1996"},{"key":"ref45","first-page":"255","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"key":"ref48","author":"lecun","year":"2010","journal-title":"MNIST Handwritten Digit Database"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.79"},{"key":"ref41","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref44","first-page":"1293","article-title":"Learning deep representations for graph clustering","author":"tian","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref43","first-page":"833","article-title":"Contractive auto-encoders: Explicit invariance during feature extraction","author":"rifai","year":"2011","journal-title":"Proc ICML"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8360119\/07927417.pdf?arnumber=7927417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:49:26Z","timestamp":1750258166000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7927417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":65,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2692773","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}