[1] ELHAMIFAR E, VIDAL R. Sparse subspace clustering[C]// Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2009:2790-2797.
[2] CHEN J, YANG J. Robust subspace segmentation via low-rank representation[J]. IEEE Transactions on Cybernetics, 2014,44(8):1432-1445.
[3] VIDAL R. A tutorial on subspace clustering[J]. IEEE Signal Processing Magazine, 2011,28(2):52-68.
[4] AGRAWAL R, GEHRKE J, GUNOPULOS D, et al. Automatic subspace clustering of high dimensional data for data mining applications[J]. ACM SIGMOD Record, 1998,27(2):94-105.
[5] LU L, VIDAL R. Combined central and subspace clustering for computer vision applications[C]// Proceedings of the 23rd International Conference on Machine Learning(ICML). 2006:593-600.
[6] YANG A Y, WRIGHT J, MA Y, et al. Unsupervised segmentation of natural images via lossy data compression[J]. Computer Vision and Image Understanding, 2008,110(2):212-225
[7] LIU G, LIN Z, YU Y. Robust subspace segmentation by low-rank representation[C]// Proceedings of the 27th International Conference on Machine Learning (ICML). 2010:663-670.〖HJ1.08mm〗
[8] LIU G C, YAN S C. Latent low-rank representation for subspace segmentation and feature extraction[C]// Proceedings of 2011 IEEE International Conference on Computer Vision(ICCV). 2011:1615-1622.
[9] LU C Y, MIN H, ZHAO Z Q, et al. Robust and efficient subspace segmentation via least squares regression[C]// The 12th European Conference on Computer Vision(ECCV). 2012:347-360.
[10]陈晓云,陈慧娟. 潜在最小二乘回归子空间分割方法[J]. 模式识别与人工智能, 2016,29(1):31-38.
[11]WRIGHT J, YANG A Y, GANESH A, et al. Robust face recognition via sparse representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009,31(2):210-227.
[12]那天,宋晓宁,於东军. 基于主元分析和线性判别分析降维的稀疏表示分类[J]. 南京理工大学学报(自然科学版), 2018,42(3):286-291.
[13]薛以梅. 基于稀疏表示和梯度先验的图像盲去模糊[J]. 计算机与现代化, 2017(12):39-42.
[14]ZHANG L, YANG M, FENG X C. Sparse representation or collaborative representation: Which helps face recognition?[C]// IEEE International Conference on Computer Vision(ICCV). 2011:471-478.
[15]ELHAMIFAR E, VIDAL R. Sparse subspace clustering: Algorithm, theory, and applications[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013,35(11):2765-2781.
[16]邹臣嵩,刘松. 基于谱聚类的全局中心快速更新聚类算法[J]. 计算机与现代化, 2018(10):6-11.
[17]LIU G, LIN Z, YAN S, et al. Robust recovery of subspace structures by low-rank representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013,35(1):171-184.
[18]FAVARO P, VIDAL R, RAVICHANDRAN A. A closed form solution to robust subspace estimation and clustering[C]// IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2011:1801-1807.
[19]CHEN Y, ZHANG L, ZHANG Y. A novel low rank representation algorithm for subspace clustering[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2016,30(4):1650007.
[20]LU C Y, MIN H, ZHAO Z Q, et al. Robust and efficient subspace segmentation via least squares regression[C]// European Conference on Computer Vision (ECCV). 2012:347-360.
[21]RODRIGUEZ A, LAIO A. Clustering by fast search and find of density peaks[J]. Science, 2014,344(6191):1492-1496.
[22]ZOU H, HASTIE T. Regularization and variable selection via the elastic net[J]. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2005,67(2):301-320.
[23]GEORGHIADES A S, BELHUMEUR P N, KRIEGMAN D J. From few to many: Illumination cone models for face recognition under variable lighting and pose[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001,23(6):643-660. |