{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:17:15Z","timestamp":1740107835704,"version":"3.37.3"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T00:00:00Z","timestamp":1529539200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472030"],"award-info":[{"award-number":["61472030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program (863Program) of China","award":["2014AA015202"],"award-info":[{"award-number":["2014AA015202"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572067","61502024"],"award-info":[{"award-number":["61572067","61502024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s00500-018-3339-y","type":"journal-article","created":{"date-parts":[[2018,6,21]],"date-time":"2018-06-21T02:08:32Z","timestamp":1529546912000},"page":"7005-7013","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Robust discriminant low-rank representation for subspace clustering"],"prefix":"10.1007","volume":"23","author":[{"given":"Xian","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2843-843X","authenticated-orcid":false,"given":"Gaoyun","family":"An","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yigang","family":"Cen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyou","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruizhen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,21]]},"reference":[{"issue":"3","key":"3339_CR1","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1145\/1970392.1970395","volume":"58","author":"EJ Cand\u00e8s","year":"2011","unstructured":"Cand\u00e8s EJ, Li X, Ma Y, Wright J (2011) Robust principal component analysis? JACM 58(3):11","journal-title":"JACM"},{"issue":"5","key":"3339_CR2","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/j.jvcir.2014.01.015","volume":"25","author":"J Chen","year":"2014","unstructured":"Chen J, Yi Z (2014) Sparse representation for face recognition by discriminative low-rank matrix recovery. J Vis Commun Image Represent 25(5):763\u2013773","journal-title":"J Vis Commun Image Represent"},{"key":"3339_CR3","doi-asserted-by":"crossref","unstructured":"Elhamifar E, Vidal R (2009) Sparse subspace clustering. In: IEEE conference on computer vision and pattern recognition, 2009, CVPR 2009, pp 2790\u20132797","DOI":"10.1109\/CVPR.2009.5206547"},{"issue":"11","key":"3339_CR4","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1109\/TPAMI.2013.57","volume":"35","author":"E Elhamifar","year":"2013","unstructured":"Elhamifar E, Vidal R (2013) Sparse subspace clustering: algorithm, theory, and applications. IEEE Trans Pattern Anal Mach Intell 35(11):2765\u20132781","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3339_CR5","doi-asserted-by":"crossref","unstructured":"Li B, Zhang Y, Lin Z, Lu H (2015) Subspace clustering by mixture of gaussian regression. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2094\u20132102","DOI":"10.1109\/CVPR.2015.7298821"},{"key":"3339_CR6","unstructured":"Lin Z, Chen M, Ma Y (2010) The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices. arXiv preprint \n                    arXiv:1009.5055"},{"key":"3339_CR7","doi-asserted-by":"crossref","unstructured":"Liu G, Yan S (2011) Latent low-rank representation for subspace segmentation and feature extraction. In: 2011 IEEE international conference on computer vision (ICCV), pp 1615\u20131622","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"3339_CR8","doi-asserted-by":"crossref","unstructured":"Liu G, Yan S (2014) Latent low-rank representation. In: Fu Y (ed) Low-rank and sparse modeling for visual analysis. Springer, Cham","DOI":"10.1007\/978-3-319-12000-3_2"},{"key":"3339_CR9","unstructured":"Liu G, Lin Z, Yu Y (2010) Robust subspace segmentation by low-rank representation. In: Proceedings of the 27th international conference on machine learning (ICML-10), pp 663\u2013670"},{"issue":"1","key":"3339_CR10","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu G, Lin Z, Yan S, Sun J, Yu Y, Ma Y (2013) Robust recovery of subspace structures by low-rank representation. IEEE Trans Pattern Anal Mach Intell 35(1):171\u2013184","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3339_CR11","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1109\/TIP.2014.2380155","volume":"24","author":"C Lu","year":"2015","unstructured":"Lu C, Lin Z, Yan S (2015) Smoothed low rank and sparse matrix recovery by iteratively reweighted least squares minimization. IEEE Trans Image Process 24(2):646\u2013654","journal-title":"IEEE Trans Image Process"},{"key":"3339_CR12","first-page":"2579","volume":"9","author":"Maaten Lvd","year":"2008","unstructured":"Lvd Maaten, Hinton G (2008) Visualizing data using t-sne. J Mach Learn Res 9:2579\u20132605","journal-title":"J Mach Learn Res"},{"key":"3339_CR13","volume-title":"Pattern classification","author":"O Duda","year":"2000","unstructured":"Duda O, Hart P, Stork DG (2000) Pattern classification. Wiley, Hoboken"},{"issue":"8","key":"3339_CR14","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"3339_CR15","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MSP.2010.939739","volume":"28","author":"R Vidal","year":"2011","unstructured":"Vidal R (2011) Subspace clustering. IEEE Signal Process Mag 28(2):52\u201368","journal-title":"IEEE Signal Process Mag"},{"key":"3339_CR16","unstructured":"Wei S, Lin Z (2011) Analysis and improvement of low rank representation for subspace segmentation. arXiv preprint \n                    arXiv:1107.1561"},{"issue":"19","key":"3339_CR17","doi-asserted-by":"publisher","first-page":"6598","DOI":"10.1016\/j.eswa.2015.04.041","volume":"42","author":"L Wei","year":"2015","unstructured":"Wei L, Wu A, Yin J (2015) Latent space robust subspace segmentation based on low-rank and locality constraints. Expert Syst Appl 42(19):6598\u20136608","journal-title":"Expert Syst Appl"},{"key":"3339_CR18","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1016\/j.jvcir.2016.03.017","volume":"38","author":"L Wei","year":"2016","unstructured":"Wei L, Wang X, Yin J, Wu A (2016) Spectral clustering steered low-rank representation for subspace segmentation. J Vis Commun Image Represent 38:386\u2013395","journal-title":"J Vis Commun Image Represent"},{"issue":"3","key":"3339_CR19","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1109\/TPAMI.2015.2462360","volume":"38","author":"M Yin","year":"2016","unstructured":"Yin M, Gao J, Lin Z (2016) Laplacian regularized low-rank representation and its applications. IEEE Trans Pattern Anal Mach Intell 38(3):504\u2013517","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3339_CR20","unstructured":"Yuan X, Yang J (2009) Sparse and low-rank matrix decomposition via alternating direction methods. Pac J Optim 9(1)"},{"key":"3339_CR21","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.neucom.2014.05.022","volume":"145","author":"H Zhang","year":"2014","unstructured":"Zhang H, Lin Z, Zhang C, Gao J (2014) Robust latent low rank representation for subspace clustering. Neurocomputing 145:369\u2013373","journal-title":"Neurocomputing"},{"key":"3339_CR22","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.neucom.2012.12.012","volume":"111","author":"N Zhang","year":"2013","unstructured":"Zhang N, Yang J (2013) Low-rank representation based discriminative projection for robust feature extraction. Neurocomputing 111:13\u201320","journal-title":"Neurocomputing"},{"key":"3339_CR23","doi-asserted-by":"crossref","unstructured":"Zhang Y, Jiang Z, Davis LS (2013) Learning structured low-rank representations for image classification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 676\u2013683","DOI":"10.1109\/CVPR.2013.93"},{"issue":"11","key":"3339_CR24","doi-asserted-by":"publisher","first-page":"3502","DOI":"10.1016\/j.patcog.2014.05.001","volume":"47","author":"Z Zheng","year":"2014","unstructured":"Zheng Z, Yu M, Jia J, Liu H, Xiang D, Huang X, Yang J (2014) Fisher discrimination based low rank matrix recovery for face recognition. Pattern Recogn 47(11):3502\u20133511","journal-title":"Pattern Recogn"},{"issue":"5","key":"3339_CR25","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1109\/TNNLS.2015.2436951","volume":"27","author":"P Zhou","year":"2016","unstructured":"Zhou P, Lin Z, Zhang C (2016) Integrated low-rank-based discriminative feature learning for recognition. IEEE Trans Neural Netw Learn Syst 27(5):1080\u20131093","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3339-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-018-3339-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-018-3339-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T08:46:43Z","timestamp":1569055603000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-018-3339-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,21]]},"references-count":25,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["3339"],"URL":"https:\/\/doi.org\/10.1007\/s00500-018-3339-y","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2018,6,21]]},"assertion":[{"value":"21 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}