{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:17:04Z","timestamp":1760955424902},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2013,11,1]],"date-time":"2013-11-01T00:00:00Z","timestamp":1383264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2013,11]]},"DOI":"10.1109\/tip.2013.2273665","type":"journal-article","created":{"date-parts":[[2013,7,22]],"date-time":"2013-07-22T18:03:57Z","timestamp":1374516237000},"page":"4380-4393","source":"Crossref","is-referenced-by-count":25,"title":["General Subspace Learning With Corrupted Training Data Via Graph Embedding"],"prefix":"10.1109","volume":"22","author":[{"family":"Bing-Kun Bao","sequence":"first","affiliation":[]},{"family":"Guangcan Liu","sequence":"additional","affiliation":[]},{"family":"Richang Hong","sequence":"additional","affiliation":[]},{"family":"Shuicheng Yan","sequence":"additional","affiliation":[]},{"family":"Changsheng Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"471","article-title":"A simple algorithm for nuclear norm regularized problems","author":"jaggi","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1002\/cpa.20132","article-title":"For most large underdetermined systems of linear equations the minimal <formula formulatype=\"inline\"> <tex Notation=\"TeX\">$\\ell 1$<\/tex><\/formula>-norm solution is also the sparsest solution","volume":"59","author":"donoho","year":"2006","journal-title":"Commun Pure Appl Math"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2307\/2288497"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023709501986"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.55"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2192742"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539849"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540138"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2173156"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176343347"},{"key":"ref28","first-page":"389","article-title":"Multiplicative nonnegative graph embedding","author":"wang","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref27","first-page":"659","article-title":"Robust Fisher discriminant analysis","author":"kim","year":"2005","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1109\/TIP.2009.2039050","article-title":"Projective nonnegative graph embedding","volume":"19","author":"liu","year":"2010","journal-title":"IEEE Trans Image Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2219543"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408856"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref21","first-page":"725","article-title":"Discriminative locality alignment","author":"zhang","year":"2008","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","first-page":"1","article-title":"Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization","author":"wright","year":"2009","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref26","first-page":"1","article-title":"TILT: Transform invariant low-rank textures","author":"zhang","year":"2010","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref25","first-page":"1","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref51","first-page":"2249","article-title":"Food recognition using statistics of pairwise local features","author":"yang","year":"2010","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref10","first-page":"3","article-title":"Graph embedded analysis for head pose estimation","author":"fu","year":"2006","journal-title":"Proc Int Conf Autom Face Gesture Recognit"},{"key":"ref11","first-page":"585","article-title":"Laplacian eigenmaps and spectral techniques for embedding and clustering","volume":"14","author":"belkin","year":"2001","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref40","first-page":"1","article-title":"On accelerated proximal gradient methods for convex-concave optimization","volume":"3","author":"tseng","year":"2008","journal-title":"SIAM J Optim"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1008992.1009012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1983.4767461"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(93)90056-3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref17","first-page":"846","article-title":"Local discriminant embedding and its variants","author":"chen","year":"2005","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000033120.25363.1e"},{"key":"ref19","first-page":"1","article-title":"Linear manifold regularization for large scale semi-supervised learning","author":"sindhwani","year":"2005","journal-title":"Proc Conf Mach Learn Workshop Learning Partially Classified Training Data"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008026310903"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/14786440109462720"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","article-title":"Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories","volume":"106","author":"fei-fei","year":"2007","journal-title":"Comput Vis Image Understand"},{"key":"ref8","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":"ref7","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Science"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5413511"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2007.10.002"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251154"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref48","author":"martinez","year":"1998","journal-title":"The AR face database"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/34.879790"},{"key":"ref42","author":"lin","year":"2009","journal-title":"The augmented Lagrange multiplier method for exact recovery of corrupted low-rank matrices"},{"key":"ref41","author":"bertsekas","year":"1982","journal-title":"Constrained Optimization and Lagrange Multiplier Methods"},{"key":"ref44","first-page":"1","article-title":"Recent advances in alternating direction methods: Practice and theory","volume":"3","author":"zhang","year":"2010","journal-title":"Tutorial"},{"key":"ref43","volume":"3","author":"golub","year":"1996","journal-title":"Matrix Computations"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/6595034\/06565370.pdf?arnumber=6565370","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:54:55Z","timestamp":1642006495000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6565370\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11]]},"references-count":51,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tip.2013.2273665","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,11]]}}}