{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T16:58:19Z","timestamp":1772297899050,"version":"3.50.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"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":["41031064"],"award-info":[{"award-number":["41031064"]}],"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":["61572384"],"award-info":[{"award-number":["61572384"]}],"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":["61432014"],"award-info":[{"award-number":["61432014"]}],"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":["U1605252"],"award-info":[{"award-number":["U1605252"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China\u2019s postdoctoral fund first-class funding","award":["2014M560752"],"award-info":[{"award-number":["2014M560752"]}]},{"name":"The central university basic scientific research business fee","award":["JBG150225"],"award-info":[{"award-number":["JBG150225"]}]},{"name":"Shanxi province postdoctoral science fund"},{"name":"Shaanxi Key Technologies Research Program","award":["2017KW-017"],"award-info":[{"award-number":["2017KW-017"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2016QY01W0200"],"award-info":[{"award-number":["2016QY01W0200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s11063-018-9859-8","type":"journal-article","created":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T11:11:58Z","timestamp":1527851518000},"page":"965-977","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Structural Reweight Sparse Subspace Clustering"],"prefix":"10.1007","volume":"49","author":[{"given":"Ping","family":"Wang","sequence":"first","affiliation":[]},{"given":"Bing","family":"Han","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,1]]},"reference":[{"key":"9859_CR1","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.fss.2016.06.001","volume":"318","author":"M Wan","year":"2017","unstructured":"Wan M, Lai Z, Yang G et al (2017) Local graph embedding based on maximum margin criterion via fuzzy set. Fuzzy Sets Syst 318:120\u2013131","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"9859_CR2","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"},{"issue":"12","key":"9859_CR3","doi-asserted-by":"publisher","first-page":"1945","DOI":"10.1109\/TPAMI.2005.244","volume":"27","author":"R Vidal","year":"2005","unstructured":"Vidal R, Ma Y, Sastry S (2005) Generalized principal component analysis (GPCA). IEEE Trans Pattern Anal Mach Intell 27(12):1945\u20131959","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"9859_CR4","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1016\/j.neucom.2007.11.029","volume":"71","author":"C Archambeau","year":"2008","unstructured":"Archambeau C, Delannay N et al (2008) Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7):1274\u20131282","journal-title":"Neurocomputing"},{"issue":"9","key":"9859_CR5","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1109\/TPAMI.2007.1085","volume":"29","author":"H Derksen","year":"2007","unstructured":"Derksen H, Ma Y, Hong W et al (2007) Segmentation of multivariate mixed data via lossy coding and compression. IEEE Trans Pattern Anal Mach Intell (TPAMI) 29(9):1546\u20131562","journal-title":"IEEE Trans Pattern Anal Mach Intell (TPAMI)"},{"issue":"6","key":"9859_CR6","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"M Fischler","year":"1981","unstructured":"Fischler M, Bolles R (1981) RANSAC random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):381\u2013395","journal-title":"Commun ACM"},{"issue":"3","key":"9859_CR7","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s11263-012-0535-6","volume":"100","author":"T Zhang","year":"2012","unstructured":"Zhang T, Szlam A, Wang Y et al (2012) Hybrid linear modeling via local best-fit flats. Int J Comput Vis 100(3):217\u2013240","journal-title":"Int J Comput Vis"},{"key":"9859_CR8","doi-asserted-by":"crossref","unstructured":"Yan J, Pollefeys M (2006) A general framework for motion segmentation: independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In: European conference on computer vision, pp 94\u2013106. Springer, Berlin","DOI":"10.1007\/11744085_8"},{"key":"9859_CR9","doi-asserted-by":"crossref","unstructured":"Goh A, Vidal R (2007) Segmenting motions of different types by unsupervised manifold clustering. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1\u20136","DOI":"10.1109\/CVPR.2007.383235"},{"issue":"3","key":"9859_CR10","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s11263-008-0178-9","volume":"81","author":"G Chen","year":"2009","unstructured":"Chen G, Lerman G (2009) Spectral curvature clustering (SCC). Int J Comput Vis 81(3):317\u2013330","journal-title":"Int J Comput Vis"},{"issue":"11","key":"9859_CR11","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"},{"issue":"1","key":"9859_CR12","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 et al (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"},{"key":"9859_CR13","unstructured":"Dong W, Wu X J (2017) Robust low rank subspace segmentation via joint L21-norm minimization. Neural Process Lett 1\u201314"},{"key":"9859_CR14","doi-asserted-by":"crossref","unstructured":"Feng J, Lin Z, Xu H, et al (2014) Robust subspace segmentation with block-diagonal prior. In: IEEE conference on computer vision and pattern recognition, pp 3818\u20133825","DOI":"10.1109\/CVPR.2014.482"},{"issue":"5","key":"9859_CR15","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s00041-008-9045-x","volume":"14","author":"E Candes","year":"2008","unstructured":"Candes E, Wakin M, Boyd S (2008) Enhancing sparsity by reweighted \n                    \n                      \n                    \n                    $${\\ell _1}$$\n                    \n                      \n                        \n                          \u2113\n                          1\n                        \n                      \n                    \n                   minimization. J Fourier Anal Appl 14(5):877\u2013905","journal-title":"J Fourier Anal Appl"},{"key":"9859_CR16","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.cviu.2015.04.003","volume":"138","author":"J Xu","year":"2015","unstructured":"Xu J, Xu K, Chen K et al (2015) Reweighted sparse subspace clustering. Comput Vis Image Underst 138:25\u201337","journal-title":"Comput Vis Image Underst"},{"key":"9859_CR17","unstructured":"Li CG, Vidal R (2015) Structured sparse subspace clustering: a unified optimization framework. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 277\u2013286"},{"key":"9859_CR18","unstructured":"Wu Z, Yin M, Zhou Y, et al (2017) Robust spectral subspace clustering based on least square regression. Neural Process Lett 1\u201314"},{"issue":"1","key":"9859_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd S, Parikh N, Chu E et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3(1):1\u2013122","journal-title":"Found Trends Mach Learn"},{"key":"9859_CR20","doi-asserted-by":"crossref","unstructured":"Fazel M, Hindi H, Boyd S (2003) Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. In: Proceedings of American control conference, pp 2156\u20132162","DOI":"10.1109\/ACC.2003.1243393"},{"key":"9859_CR21","unstructured":"Xie Z, Hu J (2013) Reweighted L1-minimization for sparse solutions to underdetermined linear systems. In: Proceedings of international congress on image and signal processing (CISP), pp 1660\u20131664"},{"issue":"1\u20132","key":"9859_CR22","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s10589-013-9553-8","volume":"59","author":"X Chen","year":"2014","unstructured":"Chen X, Zhou W (2014) Convergence of the reweighted L1 minimization algorithm for L2-Lp minimization. Comput Optim Appl 59(1\u20132):47\u201361","journal-title":"Comput Optim Appl"},{"issue":"6","key":"9859_CR23","doi-asserted-by":"publisher","first-page":"2988","DOI":"10.1109\/TIP.2017.2691557","volume":"26","author":"CG Li","year":"2017","unstructured":"Li CG, You C, Vidal R (2017) Structured sparse subspace clustering: a joint affinity learning and subspace clustering framework. IEEE Trans Image Process 26(6):2988\u20133001","journal-title":"IEEE Trans Image Process"},{"key":"9859_CR24","doi-asserted-by":"crossref","unstructured":"You C, Robinson D, Vidal R (2016) Scalable sparse subspace clustering by orthogonal matching pursuit. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3918\u20133927","DOI":"10.1109\/CVPR.2016.425"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-018-9859-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-018-9859-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-018-9859-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T08:09:56Z","timestamp":1559635796000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-018-9859-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,1]]},"references-count":24,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["9859"],"URL":"https:\/\/doi.org\/10.1007\/s11063-018-9859-8","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,1]]},"assertion":[{"value":"1 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}