{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T23:30:33Z","timestamp":1701300633557},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T00:00:00Z","timestamp":1595808000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T00:00:00Z","timestamp":1595808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s11063-020-10306-8","type":"journal-article","created":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T10:02:48Z","timestamp":1595844168000},"page":"1317-1337","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Robust Subspace Clustering via Latent Smooth Representation Clustering"],"prefix":"10.1007","volume":"52","author":[{"given":"Xiaobo","family":"Xiao","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6116-1671","authenticated-orcid":false,"given":"Lai","family":"Wei","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,27]]},"reference":[{"key":"10306_CR1","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1145\/1007730.1007731","volume":"6","author":"L Parsons","year":"2004","unstructured":"Parsons L, Haque E, Liu H (2004) Subspace clustering for high dimensional data: a review. SIGKDD Explor Newsl ACM Spec Interes Gr Knowl Discov Data Min 6:90","journal-title":"SIGKDD Explor Newsl ACM Spec Interes Gr Knowl Discov Data Min"},{"key":"10306_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 28:52\u201368. https:\/\/doi.org\/10.1109\/MSP.2010.939739","journal-title":"IEEE Signal Process Mag"},{"key":"10306_CR3","doi-asserted-by":"publisher","unstructured":"Elhamifar E, Vidal R (2009) Sparse subspace clustering. In: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshop CVPR Workshops 2009, IEEE, pp 2790\u20132797. https:\/\/doi.org\/10.1109\/CVPRW.2009.5206547","DOI":"10.1109\/CVPRW.2009.5206547"},{"key":"10306_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 35:2765\u20132781. https:\/\/doi.org\/10.1109\/TPAMI.2013.57","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR5","unstructured":"Liu G, Lin Z, Yu Y (2010) Robust subspace segmentation by low-rank representation. In: ICML 2010\u2014proceedings, 27th international conference on machine learning"},{"key":"10306_CR6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88","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. https:\/\/doi.org\/10.1109\/TPAMI.2012.88","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.191","author":"S Rao","year":"2010","unstructured":"Rao S, Tron R, Vidal R, Ma Y (2010) Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2009.191","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1085","author":"Y Ma","year":"2007","unstructured":"Ma Y, Derksen H, Hong W, Wright J (2007) Segmentation of multivariate mixed data via lossy data coding and compression. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2007.1085","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.006","author":"R Vidal","year":"2014","unstructured":"Vidal R, Favaro P (2014) Low rank subspace clustering (LRSC). Pattern Recognit Lett. https:\/\/doi.org\/10.1016\/j.patrec.2013.08.006","journal-title":"Pattern Recognit Lett"},{"key":"10306_CR10","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 42:6598\u20136608. https:\/\/doi.org\/10.1016\/j.eswa.2015.04.041","journal-title":"Expert Syst Appl"},{"key":"10306_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/34.868688","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR12","unstructured":"Liu R, Lin Z, De La Torre F, Su Z (2012) Fixed-rank representation for unsupervised visual learning. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition"},{"key":"10306_CR13","doi-asserted-by":"crossref","unstructured":"Liu G, Yan S (2011) Latent low-rank representation for subspace segmentation and feature extraction. In: Proceedings of the IEEE international conference on computer vision","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"10306_CR14","unstructured":"Li CG, Vidal R (2015) Structured sparse subspace clustering: a unified optimization framework. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition"},{"key":"10306_CR15","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 26:2988\u20133001. https:\/\/doi.org\/10.1109\/TIP.2017.2691557","journal-title":"IEEE Trans Image Process"},{"key":"10306_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.020","author":"H Chen","year":"2018","unstructured":"Chen H, Wang W, Feng X (2018) Structured sparse subspace clustering with within-cluster grouping. Pattern Recognit. https:\/\/doi.org\/10.1016\/j.patcog.2018.05.020","journal-title":"Pattern Recognit"},{"key":"10306_CR17","unstructured":"Zhuang L, Gao H, Lin Z et al (2012) Non-negative low rank and sparse graph for semi-supervised learning. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition"},{"key":"10306_CR18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2306063","author":"K Tang","year":"2014","unstructured":"Tang K, Liu R, Su Z, Zhang J (2014) Structure-constrained low-rank representation. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2014.2306063","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10306_CR19","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. https:\/\/doi.org\/10.1016\/j.jvcir.2016.03.017","journal-title":"J Vis Commun Image Represent"},{"key":"10306_CR20","doi-asserted-by":"publisher","first-page":"4009","DOI":"10.1109\/TGRS.2012.2226730","volume":"51","author":"X Lu","year":"2013","unstructured":"Lu X, Wang Y, Yuan Y (2013) Graph-regularized low-rank representation for destriping of hyperspectral images. IEEE Trans Geosci Remote Sens 51:4009\u20134018. https:\/\/doi.org\/10.1109\/TGRS.2012.2226730","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"10306_CR21","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 38:504\u2013517. https:\/\/doi.org\/10.1109\/TPAMI.2015.2462360","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR22","doi-asserted-by":"publisher","unstructured":"Lu CY, Min H, Zhao ZQ, et al (2012) Robust and efficient subspace segmentation via least squares regression. Lecture notes in computer science (including subseries lecture notes in artificial intelligence lecture notes in bioinformatics). LNCS, vol 7578, pp 347\u2013360. https:\/\/doi.org\/10.1007\/978-3-642-33786-4_26","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"10306_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.484","author":"H Hu","year":"2014","unstructured":"Hu H, Lin Z, Feng J, Zhou J (2014) Smooth representation clustering. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. https:\/\/doi.org\/10.1109\/CVPR.2014.484","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"key":"10306_CR24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2336697","author":"J Yu","year":"2015","unstructured":"Yu J, Tao D, Wang M, Rui Y (2015) Learning to rank using user clicks and visual features for image retrieval. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2014.2336697","journal-title":"IEEE Trans Cybern"},{"key":"10306_CR25","doi-asserted-by":"publisher","first-page":"3742","DOI":"10.1109\/TIE.2014.2378735","volume":"62","author":"C Hong","year":"2015","unstructured":"Hong C, Yu J, Tao D, Wang M (2015) Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval. IEEE Trans Ind Electron 62:3742\u20133751. https:\/\/doi.org\/10.1109\/TIE.2014.2378735","journal-title":"IEEE Trans Ind Electron"},{"key":"10306_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2884211","author":"C Hong","year":"2019","unstructured":"Hong C, Yu J, Zhang J et al (2019) Multimodal face-pose estimation with multitask manifold deep learning. IEEE Trans Ind Inform. https:\/\/doi.org\/10.1109\/TII.2018.2884211","journal-title":"IEEE Trans Ind Inform"},{"key":"10306_CR27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2804218","author":"J Zhang","year":"2018","unstructured":"Zhang J, Yu J, Tao D (2018) Local deep-feature alignment for unsupervised dimension reduction. IEEE Trans Image Process. https:\/\/doi.org\/10.1109\/TIP.2018.2804218","journal-title":"IEEE Trans Image Process"},{"key":"10306_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2932058","author":"J Yu","year":"2019","unstructured":"Yu J, Tan M, Zhang H et al (2019) Hierarchical deep click feature prediction for fine-grained image recognition. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/tpami.2019.2932058","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2908982","author":"J Yu","year":"2020","unstructured":"Yu J, Zhu C, Zhang J et al (2020) Spatial pyramid-enhanced NetVLAD with weighted triplet loss for place recognition. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2019.2908982","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10306_CR30","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2020.2969046","author":"J Yu","year":"2020","unstructured":"Yu J, Yao J, Zhang J et al (2020) SPRNet: single-pixel reconstruction for one-stage instance segmentation. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/tcyb.2020.2969046","journal-title":"IEEE Trans Cybern"},{"key":"10306_CR31","doi-asserted-by":"publisher","unstructured":"Lin Z, Chen M, Ma Y (2010) The augmented Lagrange multiplier method for exact recovery of corrupted low-rank matrices. https:\/\/doi.org\/10.1016\/j.jsb.2012.10.010","DOI":"10.1016\/j.jsb.2012.10.010"},{"key":"10306_CR32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79","author":"J Wright","year":"2009","unstructured":"Wright J, Yang AY, Ganesh A et al (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2008.79","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR33","volume-title":"Pattern classification","author":"RO Duda","year":"2001","unstructured":"Duda RO, Hart PE, Stork DG (2001) Pattern classification. Wiley, New York"},{"key":"10306_CR34","doi-asserted-by":"publisher","DOI":"10.1145\/361573.361582","author":"RH Bartels","year":"1972","unstructured":"Bartels RH, Stewart GW (1972) Solution of the matrix equation AX + XB = C [F4]. Commun ACM. https:\/\/doi.org\/10.1145\/361573.361582","journal-title":"Commun ACM"},{"key":"10306_CR35","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1007\/s11063-018-9783-y","volume":"48","author":"L Wei","year":"2018","unstructured":"Wei L, Wang X, Wu A et al (2018) Robust subspace segmentation by self-representation constrained low-rank representation. Neural Process Lett 48:1671\u20131691. https:\/\/doi.org\/10.1007\/s11063-018-9783-y","journal-title":"Neural Process Lett"},{"key":"10306_CR36","doi-asserted-by":"crossref","unstructured":"Tron R, Vidal R (2007) A benchmark for the comparison of 3-D motion segmentation algorithms. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2007.382974"},{"key":"10306_CR37","unstructured":"Samaria FS, Harter AC (1994) Parameterisation of a stochastic model for human face identification. In: IEEE workshop on applications of computer vision\u2014proceedings"},{"key":"10306_CR38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.92","author":"KC Lee","year":"2005","unstructured":"Lee KC, Ho J, Kriegman DJ (2005) Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2005.92","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10306_CR39","unstructured":"Nene S, Nayar S, Murase H (1996) Columbia object image library (COIL-20). Tech Rep"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-020-10306-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-020-10306-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-020-10306-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T00:15:36Z","timestamp":1627344936000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-020-10306-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,27]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["10306"],"URL":"https:\/\/doi.org\/10.1007\/s11063-020-10306-8","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,27]]},"assertion":[{"value":"27 July 2020","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 declared that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and\/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}