[1]林大华,杨利锋,邓振云,等.稀疏样本自表达子空间聚类算法[J].智能系统学报,2016,11(5):696-702.[doi:10.11992/tis.201601005]
 LIN Dahua,YANG Lifeng,DENG Zhenyun,et al.Sparse sample self-representation for subspace clustering[J].CAAI Transactions on Intelligent Systems,2016,11(5):696-702.[doi:10.11992/tis.201601005]
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稀疏样本自表达子空间聚类算法

参考文献/References:
[1] 王卫卫, 李小平, 冯象初, 等. 稀疏子空间聚类综述[J]. 自动化学报, 2015, 41(8):1373-1384. WANG Weiwei, LI Xiaoping, FENG Xiangchu, et al. A survey on sparse subspace clustering[J]. Acta automatica sinica, 2015, 41(8):1373-1384.
[2] VIDAL R, MA Yi, SASTRY S. Generalized principal component analysis (GPCA)[J]. IEEE transactions on pattern analysis and machine intelligence, 2005, 27(12):1945-1959.
[3] TSENG P. Nearest q-flat to m points[J]. Journal of optimization theory and applications, 2000, 105(1):249-252.
[4] FISCHLER M A, BOLLES R C. Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981, 24(6):381-395.
[5] 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.
[6] LIU Guangcan, LIN Zhouchen, YAN Shuicheng, 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.
[7] LU Canyi, MIN Hai, ZHAO Zhongqiu, et al. Robust and efficient subspace segmentation via least squares regression[C]//Proceedings of the 12th European Conference on Computer Vision. Berlin Heidelberg, 2012:347-360.
[8] FENG Jiashi, LIN Zhouchen, XU Huan, et al. Robust subspace segmentation with block-diagonal prior[C]//Proceedings of Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA, 2014:3818-3825.
[9] 欧阳佩佩, 赵志刚, 刘桂峰. 一种改进的稀疏子空间聚类算法[J]. 青岛大学学报:自然科学版, 2014, 27(3):44-48. OUYANG Peipei, ZHAO Zhigang, LIU Guifeng. An improved sparse subspace clustering algorithm[J]. Journal of Qingdao university:natural science edition, 2014, 27(3):44-48.
[10] 杨国亮, 罗璐, 丰义琴, 等. 基于低秩稀疏图的结构保持投影算法[J]. 计算机工程与科学, 2015, 37(8):1584-1590. YANG Guoliang, LUO Lu, FENG Yiqin, et al. Structure preserving projection algorithm based on low rank and sparse graph[J]. Computer engineering and science, 2015, 37(8):1584-1590.
[11] ZHU Xiaofeng, HUANG Zi, YANG Yang, et al. Self-taught dimensionality reduction on the high-dimensional small-sized data[J]. Pattern recognition, 2013, 46(1):215-229.
[12] ZHANG Shichao, QIN Zhenxing, LING C X, et al. "Missing is useful":missing values in cost-sensitive decision trees[J]. IEEE transactions on knowledge and data engineering, 2005, 17(12):1689-1693.
[13] ZHU Xiaofeng, HUANG Zi, CUI Jiangtao, et al. Video-to-shot tag propagation by graph sparse group lasso[J]. IEEE transactions on multimedia, 2013, 15(3):633-646.
[14] ZHU Xiaofeng, ZHANG Lei, HUANG Zi. A sparse embedding and least variance encoding approach to hashing[J]. IEEE transactions on image processing, 2014, 23(9):3737-3750.
[15] TRON R, VIDAL R. A benchmark for the comparison of 3-D motion segmentation algorithms[C]//Proceedings of Conference on Computer Vision and Pattern Recognition. Minneapolis, MN, USA, 2007:1-8.
[16] LYONS M, AKAMATSU S, KAMACHI M, et al. Coding facial expressions with gabor wavelets[C]//Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition. Nara, 1998:200-205.
[17] HULL J J. A database for handwritten text recognition research[J]. IEEE transactions on pattern analysis and machine intelligence, 1994, 16(5):550-554.
[18] SAMARIA F S, HARTERT A C. Parameterisation of a stochastic model for human face identification[C]//Proceedings of the 2nd IEEE Workshop on Applications of Computer Vision. Sarasota, FL, USA, 1994:138-142.
[19] FENG Jiashi, LIN Zhouchen, XU Huan, et al. Robust subspace segmentation with block-diagonal prior[C]//Proceedings of Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA, 2014:3818-3825.
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备注/Memo

收稿日期:2016-01-04。
基金项目:国家自然科学基金项目(61263035,61573270,61450001);国家973计划项目(2013CB329404);中国博士后科学基金项目(2015M570837);广西自然科学基金项目(2015GXNSFCB139011);广西研究生教育创新计划项目(YCSZ2016046,YCSZ2016045).
作者简介:林大华,男,1979年生,主要研究方向为机器学习、数据挖掘;杨利锋,男,1989年生,硕士研究生,主要研究方向为数据挖掘和机器学习;邓振云,男,1991年生,硕士研究生,主要研究方向为机器学习、数据挖掘。发表学术论文8篇,其中被SCI、EI检索4篇。
通讯作者:杨利锋.E-mail:517567113@qq.com

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