{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:20:41Z","timestamp":1760955641101,"version":"3.37.3"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,6,1]],"date-time":"2016-06-01T00:00:00Z","timestamp":1464739200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"The China 973 Program","award":["2013CB329404"],"award-info":[{"award-number":["2013CB329404"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61170131","61450001","61263035"],"award-info":[{"award-number":["61170131","61450001","61263035"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Guangxi Natural Science Foundation","doi-asserted-by":"crossref","award":["2012GXNSFGA060004","2015GXNSFCB139011"],"award-info":[{"award-number":["2012GXNSFGA060004","2015GXNSFCB139011"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2015M57570837"],"award-info":[{"award-number":["2015M57570837"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s00521-016-2352-2","type":"journal-article","created":{"date-parts":[[2016,6,1]],"date-time":"2016-06-01T06:25:51Z","timestamp":1464762351000},"page":"43-49","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Sparse sample self-representation for subspace clustering"],"prefix":"10.1007","volume":"29","author":[{"given":"Zhenyun","family":"Deng","sequence":"first","affiliation":[]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lifeng","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Zong","sequence":"additional","affiliation":[]},{"given":"Debo","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,1]]},"reference":[{"issue":"11","key":"2352_CR1","first-page":"2790","volume":"35","author":"E Elhamifar","year":"2009","unstructured":"Elhamifar E, Vidal R (2009) Sparse subspace clustering. TPAMI 35(11):2790\u20132797","journal-title":"TPAMI"},{"key":"2352_CR2","doi-asserted-by":"crossref","unstructured":"Tron R, Vidal R (2007) A benchmark for the comparison of 3-d motion segmentation algorithm. In: CVPR, pp 1\u20138","DOI":"10.1109\/CVPR.2007.382974"},{"issue":"1","key":"2352_CR3","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1109\/TKDE.2010.99","volume":"23","author":"X Zhu","year":"2011","unstructured":"Zhu X, Zhang S, Jin Z, Zhang Z, Xu Z (2011) Missing value estimation for mixed-attribute datasets. IEEE Trans Knowl Data Eng TKDE 23(1):110\u2013121","journal-title":"IEEE Trans Knowl Data Eng TKDE"},{"issue":"2","key":"2352_CR4","first-page":"212","volume":"110","author":"A Yang","year":"2008","unstructured":"Yang A, Wright J, Ma Y et al (2008) Unsupervised segmentation of natural images via lossy data compression. CVIU 110(2):212\u2013225","journal-title":"CVIU"},{"issue":"3","key":"2352_CR5","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1109\/TBME.2015.2466616","volume":"63","author":"X Zhu","year":"2015","unstructured":"Zhu X, Suk HI, Lee SW, Shen D (2015) Subspace regularized sparse multi-task learning for multi-class neurodegenerative disease identification. IEEE Trans Biomed Eng 63(3):607\u2013618","journal-title":"IEEE Trans Biomed Eng"},{"key":"2352_CR6","doi-asserted-by":"crossref","unstructured":"Feng J, Zhou L, Xu H, Yan S (2014) Robust subspace segmentation with block-diagonal prior. In: CVPR, pp 3818\u20133825","DOI":"10.1109\/CVPR.2014.482"},{"key":"2352_CR7","first-page":"171","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu G, Lin Z, Yan S, Sun J et al (2013) Robust recovery of subspace structures by low-rank representation. IEEE Trans Softw Eng 35(1):171\u2013184","journal-title":"IEEE Trans Softw Eng"},{"key":"2352_CR8","doi-asserted-by":"crossref","unstructured":"Chen G, Lerman G (2009) Spectral curvature clustering. In: IJCV, vol. 81. pp 317\u2013330","DOI":"10.1007\/s11263-008-0178-9"},{"issue":"5","key":"2352_CR9","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s10208-009-9043-7","volume":"9","author":"G Chen","year":"2009","unstructured":"Chen G, Lerman G (2009) Foundations of a multi-way spectral clustering framework for hybrid linear modeling. Found Comput Math 9(5):517\u2013559","journal-title":"Found Comput Math"},{"key":"2352_CR10","doi-asserted-by":"crossref","unstructured":"Lu CY, Min H, Zhao Z, Zhu L et al (2012) Robust and efficient subspace segmentation via least squares regression. In: ECCV, pp 347\u2013360","DOI":"10.1007\/978-3-642-33786-4_26"},{"issue":"12","key":"2352_CR11","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1109\/TKDE.2005.188","volume":"17","author":"S Zhang","year":"2005","unstructured":"Zhang S, Qin Z, Ling C, Sheng S (2005) \u2018Missing is useful\u2019: missing values in cost-sensitive decision trees. IEEE Trans Knowl Data Eng TKDE 17(12):1689\u20131693","journal-title":"IEEE Trans Knowl Data Eng TKDE"},{"key":"2352_CR12","unstructured":"Nie F, Huang H, Cai X, Ding C (2010) Efficient and robust feature selection via joint l 2,1-norms minimization. In: NIPS, pp 1813\u20131821"},{"issue":"3","key":"2352_CR13","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1023\/A:1008000628999","volume":"29","author":"J Costeira","year":"1998","unstructured":"Costeira J, Kanade T (1998) A multibody factorization method for independently moving objects. IJCV 29(3):108\u2013121","journal-title":"IJCV"},{"key":"2352_CR14","doi-asserted-by":"publisher","unstructured":"Zhu X, Li X, Zhang S, Ju C, Wu X (2016) Robust joint graph sparse coding for unsupervised spectral feature selection. IEEE Trans Neural Netw Learn Syst 1\u201313. doi: 10.1109\/TNNLS.2016.2521602","DOI":"10.1109\/TNNLS.2016.2521602"},{"key":"2352_CR15","doi-asserted-by":"crossref","unstructured":"Nasihatkon B, Hartley R (2011) Graph connectivity in sparse subspace clustering. In: Proc. CVPR, pp 2137\u20132144","DOI":"10.1109\/CVPR.2011.5995679"},{"key":"2352_CR16","doi-asserted-by":"crossref","unstructured":"Rao S, Tron R, Ma Y, Vidal R (2008) Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2008.4587437"},{"issue":"2","key":"2352_CR17","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright J, Yang A, Ganesh A, Sastry S, Ma Y (2009) Robust face recognition via sparse representation. IEEE Trans Pattern Anal Mach Intell 31(2):210\u2013227","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2352_CR18","first-page":"849","volume":"14","author":"A Ng","year":"2002","unstructured":"Ng A, Jordan M, Weiss Y (2002) On spectral clustering analysis and an algorithm. NIPS 14:849\u2013856","journal-title":"NIPS"},{"key":"2352_CR19","unstructured":"Zhu X, Huang Z, Shen HT, Zhao X (2013) Linear cross-modal hashing for effective multimedia search. In: Proceedings of ACM MM, pp 143\u2013152"},{"issue":"6","key":"2352_CR20","first-page":"570","volume":"75","author":"X Zhu","year":"2015","unstructured":"Zhu X, Suk HI, Wang L, Lee SW, Shen D (2015) A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Hum Immunol 75(6):570\u2013577","journal-title":"Hum Immunol"},{"issue":"8","key":"2352_CR21","doi-asserted-by":"crossref","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. TPAMI 22(8):888\u2013905","journal-title":"TPAMI"},{"issue":"8","key":"2352_CR22","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.1016\/j.patcog.2012.02.007","volume":"45","author":"X Zhu","year":"2012","unstructured":"Zhu X, Huang Z, Shen H, Cheng J et al (2012) Dimensionality reduction by mixed kernel canonical correlation analysis. Pattern Recogn 45(8):3003\u20133016","journal-title":"Pattern Recogn"},{"issue":"4","key":"2352_CR23","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/j.jss.2011.10.007","volume":"85","author":"S Zhang","year":"2012","unstructured":"Zhang S (2012) Decision tree classifiers sensitive to heterogeneous costs. J Syst Softw 85(4):771\u2013779","journal-title":"J Syst Softw"},{"issue":"1","key":"2352_CR24","first-page":"53","volume":"17","author":"J Marial","year":"2008","unstructured":"Marial J, Elad M, Sapiro G (2008) Sparse representation for color image restoration. TIP 17(1):53\u201369","journal-title":"TIP"},{"issue":"5","key":"2352_CR25","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.is.2011.10.009","volume":"37","author":"T Wang","year":"2012","unstructured":"Wang T, Qin Z, Zhang S, Zhang C (2012) Cost-sensitive classification with inadequate labeled data. Inf Syst 37(5):508\u2013516","journal-title":"Inf Syst"},{"key":"2352_CR26","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.neuroimage.2014.05.078","volume":"100","author":"X Zhu","year":"2014","unstructured":"Zhu X, Suk HI, Shen D (2014) A novel matrix-similarity based loss function for joint regression and classification in ad diagnosis. NeuroImage 100:91\u2013105","journal-title":"NeuroImage"},{"issue":"6","key":"2352_CR27","doi-asserted-by":"crossref","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":"3","key":"2352_CR28","first-page":"353","volume":"15","author":"X Wu","year":"2003","unstructured":"Wu X, Zhang S (2003) Synthesizing high-frequency rules from different data sources. IEEE Trans Knowl Data Eng 15(3):353\u2013367","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"2352_CR29","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.is.2003.10.001","volume":"30","author":"X Wu","year":"2005","unstructured":"Wu X, Zhang C, Zhang S (2005) Database classification for multi-database mining. Inf Syst 30:71\u201388","journal-title":"Inf Syst"},{"issue":"2\u20133","key":"2352_CR30","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s10618-006-0041-y","volume":"12","author":"S Zhang","year":"2006","unstructured":"Zhang S, Zaki MJ (2006) Mining multiple data sources: local pattern analysis. Data Min Knowl Discov 12(2\u20133):121\u2013125","journal-title":"Data Min Knowl Discov"},{"issue":"1","key":"2352_CR31","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1109\/TIFS.2015.2485163","volume":"11","author":"Z Tang","year":"2016","unstructured":"Tang Z, Zhang X, Li X, Zhang S (2016) Robust image hashing with ring partition and invariant vector distance. IEEE Trans Inf Forensics Secur 11(1):200\u2013214","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"5","key":"2352_CR32","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1016\/j.patcog.2014.11.007","volume":"48","author":"H Liu","year":"2015","unstructured":"Liu H, Ma Z, Zhang S, Zhang S (2015) Penalized partial least square discriminant analysis with l1 for multi-label data. Pattern Recogn 48(5):1724\u20131733","journal-title":"Pattern Recogn"},{"issue":"11","key":"2352_CR33","doi-asserted-by":"crossref","first-page":"2541","DOI":"10.1016\/j.jss.2012.05.073","volume":"85","author":"S Zhang","year":"2012","unstructured":"Zhang S (2012) Nearest neighbor selection for iteratively kNN imputation. J Syst Softw 85(11):2541\u20132552","journal-title":"J Syst Softw"},{"issue":"6","key":"2352_CR34","first-page":"726","volume":"24","author":"MA Fischler","year":"1987","unstructured":"Fischler MA, Bolles RC (1987) Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24(6):726\u2013740","journal-title":"Commun ACM"},{"issue":"3","key":"2352_CR35","doi-asserted-by":"crossref","first-page":"1327","DOI":"10.1109\/TIP.2011.2169274","volume":"21","author":"C Lang","year":"2012","unstructured":"Lang C, Liu G, Yu J, Yan S (2012) Saliency detection by multi-task sparsity pursuit. IEEE Trans Image Process 21(3):1327\u20131338","journal-title":"IEEE Trans Image Process"},{"key":"2352_CR36","unstructured":"Chen B, Liu G, Huang Z, Yan S (2011) Multi-task low-rank affinities pursuit for image segmentation. In: CVPR, pp 2439\u20132446"},{"issue":"3","key":"2352_CR37","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1109\/TMM.2012.2233723","volume":"15","author":"X Zhu","year":"2013","unstructured":"Zhu X, Huang Z, Cui J, Shen HT (2013) Video-to-shot tag propagation by graph sparse group lasso. IEEE Trans Multimed 15(3):633\u2013646","journal-title":"IEEE Trans Multimed"},{"issue":"1","key":"2352_CR38","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.patcog.2012.07.018","volume":"46","author":"X Zhu","year":"2013","unstructured":"Zhu X, Huang Z, Yang Y, Shen HT, Xu C, Luo J (2013) Self-taught dimensionality reduction on the high-dimensional small-sized data. Pattern Recogn 46(1):215\u2013229","journal-title":"Pattern Recogn"},{"issue":"2","key":"2352_CR39","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TCYB.2015.2403356","volume":"46","author":"X Zhu","year":"2016","unstructured":"Zhu X, Li X, Zhang S (2016) Block-row sparse multiview multilabel learning for image classification. IEEE Trans Cybern 46(2):450\u2013461","journal-title":"IEEE Trans Cybern"},{"issue":"9","key":"2352_CR40","doi-asserted-by":"crossref","first-page":"3737","DOI":"10.1109\/TIP.2014.2332764","volume":"23","author":"X Zhu","year":"2014","unstructured":"Zhu X, Zhang L, Huang Z (2014) A sparse embedding and least variance encoding approach to hashing. IEEE Trans Image Process 23(9):3737\u20133750","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"2352_CR41","first-page":"1615","volume":"24","author":"G Liu","year":"2011","unstructured":"Liu G, Yan S (2011) Latent low-rank representation for subspace segmentation and feature extraction. CVPR 24(4):1615\u20131622","journal-title":"CVPR"},{"issue":"7","key":"2352_CR42","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/S0306-4379(02)00079-0","volume":"28","author":"S Zhang","year":"2003","unstructured":"Zhang S, Zhang C, Yan X (2003) Post-mining: maintenance of association rules by weighting. Inf Syst 28(7):691\u2013707","journal-title":"Inf Syst"},{"issue":"2","key":"2352_CR43","first-page":"9","volume":"31","author":"X Zhu","year":"2013","unstructured":"Zhu X, Huang Z, Cheng H, Cui J et al (2013) Sparse hashing for fast multimedia search. ACM Trans Inf Syst 31(2):9","journal-title":"ACM Trans Inf Syst"},{"issue":"3","key":"2352_CR44","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1970392.1970395","volume":"58","author":"EJ Candes","year":"2011","unstructured":"Candes EJ, Li X, Ma Y, Wright J (2011) Robust principal component analysis? J ACM 58(3):1\u201373","journal-title":"J ACM"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2352-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2352-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2352-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2352-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T23:32:47Z","timestamp":1567985567000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2352-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,1]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["2352"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2352-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2016,6,1]]}}}