{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T13:04:50Z","timestamp":1770296690762,"version":"3.49.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2015,2,1]],"date-time":"2015-02-01T00:00:00Z","timestamp":1422748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Singapore National Research Foundation within the International Research Centre through the Singapore Funding Initiative and administered by the IDM Programme Office"},{"name":"973 Program of China","award":["2015CB352502"],"award-info":[{"award-number":["2015CB352502"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61272341"],"award-info":[{"award-number":["61272341"]}],"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":["61231002"],"award-info":[{"award-number":["61231002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MSRA Collaborative Research Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2015,2]]},"DOI":"10.1109\/tip.2014.2380155","type":"journal-article","created":{"date-parts":[[2014,12,12]],"date-time":"2014-12-12T22:08:06Z","timestamp":1418422086000},"page":"646-654","source":"Crossref","is-referenced-by-count":118,"title":["Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization"],"prefix":"10.1109","volume":"24","author":[{"family":"Canyi Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Zhouchen Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Shuicheng Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref32","first-page":"347","article-title":"Robust and efficient subspace segmentation via least squares regression","author":"lu","year":"2012","journal-title":"Proc 12th Eur Conf Comput Vis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.7146\/dpb.v27i537.7070","article-title":"Lanczos bidiagonalization with partial reorthogonalization","author":"larsen","year":"1998"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251154"},{"key":"ref10","first-page":"15","article-title":"An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems","volume":"6","author":"toh","year":"2010","journal-title":"Pacific J Optim"},{"key":"ref11","article-title":"The augmented Lagrange multiplier method for exact recovery of a corrupted low-rank matrices","author":"lin","year":"2009"},{"key":"ref12","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","author":"lin","year":"0","journal-title":"Advances in Neural Information Processing Systems 24"},{"key":"ref13","first-page":"1251","article-title":"Proximal iteratively reweighted algorithm with multiple splitting for nonconvex sparsity optimization","author":"lu","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518498"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00041-008-9045-x"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2008.09.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/110847445"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20303"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.526"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2192742"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.170"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/110840364"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the Lasso","volume":"58","author":"tibshirani","year":"1996","journal-title":"J R Statist Soc B (Methodological)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1090\/S0025-5718-2012-02598-1"},{"key":"ref5","first-page":"663","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2035722"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref2","first-page":"222","article-title":"COFI RANK&#x2014;Maximum margin matrix factorization for collaborative ranking","volume":"20","author":"weimer","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","first-page":"471","article-title":"A simple algorithm for nuclear norm regularized problems","author":"jaggi","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref20","article-title":"Generalized singular value thresholding","author":"lu","year":"2015","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2158250"},{"key":"ref21","first-page":"3441","article-title":"Iterative reweighted algorithms for matrix rank minimization","volume":"13","author":"mohan","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2009.08.108"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898717778"},{"key":"ref26","first-page":"543","article-title":"Tree-guided group Lasso for multi-task regression with structured sparsity","author":"kim","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553431"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/7004755\/06983617.pdf?arnumber=6983617","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:27:42Z","timestamp":1642004862000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6983617\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,2]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tip.2014.2380155","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,2]]}}}