{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T05:11:47Z","timestamp":1667797907314},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"39-40","license":[{"start":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T00:00:00Z","timestamp":1596931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T00:00:00Z","timestamp":1596931200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Special Fund for Basic Scientific Research of Central Colleges","award":["310812163504"],"award-info":[{"award-number":["310812163504"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s11042-020-09392-6","type":"journal-article","created":{"date-parts":[[2020,8,9]],"date-time":"2020-08-09T07:02:41Z","timestamp":1596956561000},"page":"29179-29198","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Face clustering via learning a sparsity preserving low-rank graph"],"prefix":"10.1007","volume":"79","author":[{"given":"Changpeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiangshe","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueli","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianjun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,9]]},"reference":[{"issue":"2","key":"9392_CR1","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/TPAMI.2003.1177153","volume":"25","author":"R Basri","year":"2003","unstructured":"Basri R, Jacobs DW (2003) Lambertian reflectance and linear subspaces. IEEE Trans Patt Anal Mach Intell 25(2):218\u2013233","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"issue":"2","key":"9392_CR2","first-page":"125","volume":"2","author":"A Benhur","year":"2002","unstructured":"Benhur A, Horn D, Siegelmann H, Vapnik V (2002) Support vector clustering. J Mach Learn Res 2(2):125\u2013137","journal-title":"J Mach Learn Res"},{"issue":"1","key":"9392_CR3","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, Peleato B, Eckstein J (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"},{"issue":"1","key":"9392_CR4","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1137\/060657704","volume":"51","author":"A Brukstein","year":"2009","unstructured":"Brukstein A, D Donoho M (2009) Elad, from sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev 51(1):34\u201381","journal-title":"SIAM Rev"},{"issue":"12","key":"9392_CR5","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1109\/TKDE.2005.198","volume":"17","author":"D Cai","year":"2005","unstructured":"Cai D, He X, Han J (2005) Document clustering using locality preserving indexing. IEEE Trans Know Data Eng 17(12):1624\u20131637","journal-title":"IEEE Trans Know Data Eng"},{"issue":"8","key":"9392_CR6","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","volume":"33","author":"D Cai","year":"2011","unstructured":"Cai D, He X, Han J, Huang TS (2011) Graph regularized nonnegative matrix factorization for data representation. IEEE Trans Patt Anal Mach Intell 33(8):1548\u20131560","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"issue":"6","key":"9392_CR7","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s10208-009-9045-5","volume":"9","author":"EJ Candes","year":"2009","unstructured":"Candes EJ, Recht B (2009) Exact matrix completion via convex optimization. Found Comput Math 9(6):717\u2013772","journal-title":"Found Comput Math"},{"issue":"1","key":"9392_CR8","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1137\/S003614450037906X","volume":"43","author":"S Chen","year":"2001","unstructured":"Chen S, Donoho DL, Saunders MA (2001) Atomic decomposition by basis pursuit. Siam Rev 43(1):129\u2013159","journal-title":"Siam Rev"},{"issue":"8","key":"9392_CR9","first-page":"1432","volume":"44","author":"J Chen","year":"2014","unstructured":"Chen J, Yang J (2014) Robust subspace segmentation via low-rank representation. IEEE Trans Syst Man, Cybern 44(8):1432\u20131445","journal-title":"IEEE Trans Syst Man, Cybern"},{"issue":"6","key":"9392_CR10","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1002\/cpa.20132","volume":"59","author":"D Donoho","year":"2006","unstructured":"Donoho D (2006) For most large underdetermined systems of linear equations the minimal \u21131-norm solution is also the sparsest solution. Commun Pure Appl Math 59 (6):797\u2013829","journal-title":"Commun Pure Appl Math"},{"key":"9392_CR11","doi-asserted-by":"crossref","unstructured":"Dornaika F, Kejani M, Bosaghzadeh A (2017) Graph construction using adaptive local hybrid coding scheme. Neural Netw 91\u2013101","DOI":"10.1016\/j.neunet.2017.08.002"},{"issue":"3","key":"9392_CR12","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/BF01581204","volume":"55","author":"J Eckstein","year":"1992","unstructured":"Eckstein J, Bertsekas DP (1992) On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators. Math Program 55(3):293\u2013318","journal-title":"Math Program"},{"issue":"11","key":"9392_CR13","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":"9392_CR14","doi-asserted-by":"crossref","unstructured":"Fan D, Zhang S, Wu Y, Liu Y, Cheng M, Ren B, Rosin PL (2019) Scoot: a perceptual metric for facial sketches. Int Conf Comput Vision 5612\u20135622","DOI":"10.1109\/ICCV.2019.00571"},{"issue":"8","key":"9392_CR15","first-page":"1828","volume":"46","author":"X Fang","year":"2016","unstructured":"Fang X, Xu Y, Li X, Lai Z, Wong WK (2016) Robust semi-supervised subspace clustering via non-negative low-rank representation. IEEE Trans on Syst Man, Cybern 46(8):1828\u20131838","journal-title":"IEEE Trans on Syst Man, Cybern"},{"key":"9392_CR16","doi-asserted-by":"crossref","unstructured":"Glowinski R, Tallec PL (1989) Augmented Lagrangian and operator-splitting methods in nonlinear mechanics. Math Comput 58(197)","DOI":"10.1137\/1.9781611970838"},{"issue":"1","key":"9392_CR17","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1007\/s11042-016-4324-z","volume":"77","author":"S Khan","year":"2018","unstructured":"Khan S, Hussain A, Usman M (2018) Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features. Multimed Tools Appl 77(1):1133\u20131165","journal-title":"Multimed Tools Appl"},{"issue":"6","key":"9392_CR18","doi-asserted-by":"publisher","first-page":"3131","DOI":"10.3233\/IFS-141270","volume":"27","author":"S Khan","year":"2014","unstructured":"Khan S, Hussain A, Usman M, Nazir M, Riaz N, Mirza A (2014) Robust face recognition using computationally efficient features. J Intell Fuzzy Syst 27(6):3131\u20133143","journal-title":"J Intell Fuzzy Syst"},{"key":"9392_CR19","doi-asserted-by":"crossref","unstructured":"Khan S, Ishtiaq M, Nazir M, Shaheen M (2018) Face recognition under varying expressions and illumination using particle swarm optimization. J Comput Sci 94\u2013100","DOI":"10.1016\/j.jocs.2018.08.005"},{"issue":"4","key":"9392_CR20","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.3233\/IFS-141468","volume":"28","author":"S Khan","year":"2015","unstructured":"Khan S, Usman M, Riaz N (2015) Face recognition via optimized features fusion. J Intell Fuzzy Syst 28(4):1819\u20131828","journal-title":"J Intell Fuzzy Syst"},{"key":"9392_CR21","unstructured":"Lin Z, Chen M, Ma Y (2011) The augmented Lagrange multiplier method for exact recovery of corrupted low-rank Matrices. Neural Inform Process Sys 1\u201320"},{"issue":"21","key":"9392_CR22","doi-asserted-by":"publisher","first-page":"5623","DOI":"10.1109\/TSP.2016.2586753","volume":"64","author":"G Liu","year":"2016","unstructured":"Liu G, Li P (2016) Low-rank matrix completion in the presence of high coherence. IEEE Trans Signal Process 64(21):5623\u20135633","journal-title":"IEEE Trans Signal Process"},{"issue":"1","key":"9392_CR23","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 Patt Analy Mach Intell 35(1):171\u2013184","journal-title":"IEEE Trans Patt Analy Mach Intell"},{"issue":"2","key":"9392_CR24","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1109\/TPAMI.2018.2794348","volume":"41","author":"C Lu","year":"2019","unstructured":"Lu C, Feng J, Lin Z, Mei T, Yan S (2019) Subspace clustering by block diagonal representation. IEEE Trans Pattern Anal Mach Intell 41 (2):487\u2013501","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"9392_CR25","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"UV Luxburg","year":"2007","unstructured":"Luxburg UV (2007) A tutorial on spectral clustering. Stat Comput 17(4):395\u2013416","journal-title":"Stat Comput"},{"key":"9392_CR26","unstructured":"Macqueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the fifth berkeleysymposium on mathematical statistics and probability, pp 281\u2013297"},{"key":"9392_CR27","doi-asserted-by":"crossref","unstructured":"Munir A, Hussain A, Khan S, Nadeem M, Arshid S (2018) Illumination invariant facial expression recognition using selected merged binary patterns for real world images. Optik 1016\u20131025","DOI":"10.1016\/j.ijleo.2018.01.003"},{"key":"9392_CR28","unstructured":"Ng A, Jordan M, Weiss Y (2002) On spectral clustering: analysis and an algorithm. Neural Inform Process Syst 849\u2013856"},{"key":"9392_CR29","doi-asserted-by":"crossref","unstructured":"Nie F, Wang X, Jordan M, Huang H (2016) The constrained laplacian rank algorithm for graph-based clustering. In: Proceedings of the thirtieth aaai conference on artificial intelligence, pp 1969\u20131976","DOI":"10.1609\/aaai.v30i1.10302"},{"issue":"1","key":"9392_CR30","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.patcog.2009.05.005","volume":"43","author":"L Qiao","year":"2010","unstructured":"Qiao L, Chen S, Tan X (2010) Sparsity preserving projections with applications to face recognition. Pattern Recognit 43(1):331\u2013341","journal-title":"Pattern Recognit"},{"issue":"10","key":"9392_CR31","doi-asserted-by":"publisher","first-page":"1832","DOI":"10.1109\/TPAMI.2009.191","volume":"32","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 Patt Anal Mach Intell 32(10):1832\u20131845","journal-title":"IEEE Trans Patt Anal Mach Intell"},{"issue":"8","key":"9392_CR32","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":"9392_CR33","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":"6","key":"9392_CR34","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1109\/TNNLS.2015.2477537","volume":"27","author":"Q Wang","year":"2016","unstructured":"Wang Q, Lin J, Yuan Y (2016) Salient band selection for hyperspectral image classification via manifold ranking. IEEE Trans Neural Netw 27 (6):1279\u20131289","journal-title":"IEEE Trans Neural Netw"},{"key":"9392_CR35","unstructured":"Wen J, Han N, Fang X, Fei L, Yan K, Zhan S (2018) Low-rank preserving projection via graph regularized reconstruction. IEEE Trans on Syst Man, and Cybern 1\u201313"},{"key":"9392_CR36","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.patcog.2018.04.004","volume":"81","author":"J Wen","year":"2018","unstructured":"Wen J, Zhang B, Xu Y, Yang J, Han N (2018) Adaptive weighted nonnegative low-rank representation. Pattern Recognit 81:326\u2013340","journal-title":"Pattern Recognit"},{"key":"9392_CR37","unstructured":"Xu L, Neufeld J, Larson B, Schuurmans D (2005) Maximum margin clustering. Neural Inform Process Syst 1537\u20131544"},{"issue":"3","key":"9392_CR38","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu R, Wunsch D (2005) Survey of clustering algorithms. IEEE Trans Neural Netw 16(3):645\u2013678","journal-title":"IEEE Trans Neural Netw"},{"issue":"281","key":"9392_CR39","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1090\/S0025-5718-2012-02598-1","volume":"82","author":"J Yang","year":"2012","unstructured":"Yang J, Yuan X (2012) Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math Comput 82(281):301\u2013329","journal-title":"Math Comput"},{"issue":"7","key":"9392_CR40","doi-asserted-by":"publisher","first-page":"3196","DOI":"10.1109\/TIP.2017.2694222","volume":"26","author":"X Yao","year":"2017","unstructured":"Yao X, Han J, Zhang D, Nie F (2017) Revisiting co-saliency detection: a novel approach based on two-stage multi-view spectral rotation co-clustering. IEEE Trans Image Process 26(7):3196\u20133209","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"9392_CR41","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 Pat Anal Mach Intell 38(3):504\u2013517","journal-title":"IEEE Trans Pat Anal Mach Intell"},{"key":"9392_CR42","doi-asserted-by":"crossref","unstructured":"Zhang C, Hu Q, Fu H, Zhu P, Cao X (2017) Latent multi-view subspace clustering. Comput Vision Pattern Recognit 4333\u20134341","DOI":"10.1109\/CVPR.2017.461"},{"key":"9392_CR43","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.neucom.2015.12.009","volume":"182","author":"X Zhang","year":"2016","unstructured":"Zhang X, Xu C, Sun X, Baciu G (2016) Schatten-q regularizer constrained low rank subspace clustering model. Neurocomputing. 182:36\u201347","journal-title":"Neurocomputing."},{"issue":"4","key":"9392_CR44","first-page":"333","volume":"4","author":"J Zhao","year":"2018","unstructured":"Zhao J, Hou Q, Ren B, Cheng M, Rosin P (2018) FLIC: fast linear iterative clustering with active search. Nat Conf Artif Intell 4(4):333\u2013348","journal-title":"Nat Conf Artif Intell"},{"key":"9392_CR45","doi-asserted-by":"crossref","unstructured":"Zhao J, Liu J, Fan D, Cao Y, Yang J, Cheng M (2019) EGNEt: Edge guidance network for salient object detection. Int Conf Comput Vision 8779\u20138788","DOI":"10.1109\/ICCV.2019.00887"},{"issue":"5","key":"9392_CR46","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2010.2090535","volume":"20","author":"M Zheng","year":"2011","unstructured":"Zheng M, Bu J, Chen C, Wang C, Zhang L, Qiu G, Cai D (2011) Graph regularized sparse coding for image representation. IEEE Trans Image Process 20(5):1327\u20131336","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"9392_CR47","doi-asserted-by":"publisher","first-page":"2408","DOI":"10.1109\/TIP.2017.2681841","volume":"26","author":"J Zheng","year":"2017","unstructured":"Zheng J, Yang P, Chen S, Shen G, Wang W (2017) Iterative re-constrained group sparse face recognition with adaptive weights learning. IEEE Trans Image Process 26(5):2408\u20132423","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"9392_CR48","first-page":"1655","volume":"50","author":"T Zhou","year":"2020","unstructured":"Zhou T, Zhang C, Gong C, Bhaskar H, Yang J (2020) Multiview latent space learning with feature redundancy minimization. IEEE Trans on Syst Man, Cybern 50(4):1655\u20131668","journal-title":"IEEE Trans on Syst Man, Cybern"},{"key":"9392_CR49","unstructured":"Zhou T, Zhang C, Peng X, Bhaskar H, Yang J (2019) Dual shared-specific multiview subspace clustering. IEEE Trans Syst Man, Cybern 1\u201314"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09392-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09392-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09392-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,6]],"date-time":"2022-11-06T08:56:47Z","timestamp":1667725007000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09392-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,9]]},"references-count":49,"journal-issue":{"issue":"39-40","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["9392"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09392-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,9]]},"assertion":[{"value":"12 October 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 May 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}