{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:58:13Z","timestamp":1784390293119,"version":"3.55.0"},"reference-count":67,"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":["61171142"],"award-info":[{"award-number":["61171142"]}],"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":["61401163"],"award-info":[{"award-number":["61401163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Planning Project of Guangdong Province of China","award":["2014B010111003"],"award-info":[{"award-number":["2014B010111003"]}]},{"name":"Science and Technology Planning Project of Guangdong Province of China","award":["2014B010111006"],"award-info":[{"award-number":["2014B010111006"]}]},{"name":"Science and Technology Planning Project of Guangdong Province of China","award":["2016B010108008"],"award-info":[{"award-number":["2016B010108008"]}]},{"name":"Guangzhou Key Laboratory of Body Data Science","award":["201605030011"],"award-info":[{"award-number":["201605030011"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201406150059"],"award-info":[{"award-number":["201406150059"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP-140102164"],"award-info":[{"award-number":["DP-140102164"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FT-130101457"],"award-info":[{"award-number":["FT-130101457"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["LP-150100671"],"award-info":[{"award-number":["LP-150100671"]}],"id":[{"id":"10.13039\/501100000923","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.2016.2643286","type":"journal-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T21:04:46Z","timestamp":1493067886000},"page":"2323-2336","source":"Crossref","is-referenced-by-count":49,"title":["GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4753-9022","authenticated-orcid":false,"given":"Kailing","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4573-5820","authenticated-orcid":false,"given":"Xiangmin","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Xu","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":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896065"},{"key":"ref38","first-page":"4919","article-title":"Correntropy: A localized similarity measure","author":"liu","year":"2006","journal-title":"Proc IEEE Int Joint Conf Neural Netw"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.03.067"},{"key":"ref32","first-page":"663","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2464090"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2544314"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456899"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2458986"},{"key":"ref34","first-page":"2778","article-title":"Low-rank multi-view learning in matrix completion for multi-label image classification","author":"liu","year":"2015","journal-title":"Proc AAAI"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2387376"},{"key":"ref62","author":"zhou","year":"2013","journal-title":"Unmixing incoherent structures of big data by randomized or greedy decomposition"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2436951"},{"key":"ref63","first-page":"650","article-title":"Greedy bilateral sketch, completion & smoothing","author":"zhou","year":"2013","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2014.7009720"},{"key":"ref64","first-page":"1946","article-title":"Shifted subspaces tracking on sparse outlier for motion segmentation","author":"zhou","year":"2013","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref27","first-page":"277","article-title":"Structured sparse subspace clustering: A unified optimization framework","author":"li","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref65","first-page":"33","article-title":"GoDec: Randomized low-rank & sparse matrix decomposition in noisy case","author":"zhou","year":"2011","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2010.5513535"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.836169"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.274"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2197748"},{"key":"ref1","author":"absil","year":"2009","journal-title":"Optimization Algorithms on Matrix Manifolds"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-014-0527-y"},{"key":"ref22","first-page":"937","article-title":"Guaranteed rank minimization via singular value projection","author":"jain","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1037\/h0071325"},{"key":"ref24","first-page":"695","article-title":"Super-resolution person Re-identification with semi-coupled low-rank discriminant dictionary learning","author":"jing","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref23","first-page":"461","article-title":"Efficient dense subspace clustering","author":"ji","year":"2014","journal-title":"Proc IEEE Winter Conf Appl Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1070.0291"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1109\/TNNLS.2014.2312535","article-title":"Efficient $L_{1}$ -norm-based low-rank matrix approximations for large-scale problems using alternating rectified gradient method","volume":"26","author":"kim","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref50","first-page":"429","article-title":"Online learning in the embedded manifold of low-rank matrices","volume":"13","author":"shalit","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2002.1004130"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-3561-6"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2411613"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2637331"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2417578"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.08.012"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.11.014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.382974"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.226"},{"key":"ref12","author":"guan","year":"2012","journal-title":"MahNMF Manhattan non-negative matrix factorization"},{"key":"ref13","author":"halko","year":"2009","journal-title":"Finding structure with randomness stochastic algorithms for constructing approximate matrix decompositions"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2103949"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995328"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.188"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2456504"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1109\/TPAMI.2010.220","article-title":"Maximum correntropy criterion for robust face recognition","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/TPAMI.2013.102","article-title":"Half-quadratic-based iterative minimization for robust sparse representation","volume":"36","author":"he","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-011-9412-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref6","author":"cohen","year":"2014","journal-title":"Dimensionality reduction for k-means clustering and low rank approximation"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2087764"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2462338"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/83.660997"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1137\/140957822"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.39"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/030600862"},{"key":"ref45","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"},{"key":"ref48","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-1570-2","author":"principe","year":"2010","journal-title":"Information Theoretic Learning Renyi&#x2019;s Entropy and Kernel Perspectives"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.10.017"},{"key":"ref42","article-title":"On combining side information and unlabeled data for heterogeneous multi-task metric learning","author":"luo","year":"0","journal-title":"Proc 25th Int Conf Artif Intell"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2445757"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2015.07.008"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2495116"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8360119\/07906632.pdf?arnumber=7906632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:25:54Z","timestamp":1642004754000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7906632\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":67,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2016.2643286","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}