Jolliffe I T. Principal Component Analysis (Second Edition). New York: Springer-Verlag, 2002
[2]
Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000, 290(5500): 2323-2326
[3]
Donoho D L, Grimes C. Hessian eigenmaps: locally linear embedding, techniques for high-dimensional data. Proceedings of the National Academy of Sciences, 2003, 100(10): 5591-5596
[4]
Zhang Z Y, Zha H Y. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM Journal of Scientific Computing, 2004, 26(1): 313-338
[5]
Yang L. Alignment of overlapping locally scaled patches for multidimensional scaling and dimensionality reduction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(3): 438-450
[6]
Tenenbaum J B, De S V, Langford J C. A global geometric framework for nonlinear dimension reduction. Science, 2000, 290(5500): 2319-2323
[7]
He X F, Cai D, Yan S C, Zhang H J. Neighborhood preserving embedding. In: Proceedings of the 10th IEEE International Conference on Computer Vision. Beijing, China: IEEE, 2005. 1208-1213
[8]
Kokiopoulou E, Saad Y. Orthogonal neighborhood preserving projections. In: Proceedings of the 5th IEEE International Conference on Data Mining. Washington D. C., USA: IEEE, 2005. 1-7
[9]
Li Le, Zhang Yu-Jin. Linear projection-based non-negative matrix factorization. Acta Autmatica Sinica, 2010, 36(1): 23-39(李乐, 章毓晋. 基于线性投影结构的非负矩阵分解. 自动化学报, 2010, 36(1): 23-39)
[10]
Wen Ying, Shi Peng-Fei. An approach to face recognition based on common vector and 2DPCA. Acta Autmatica Sinica, 2009, 35(2): 202-205(文颖, 施鹏飞. 一种基于共同向量结合2DPCA的人脸识别方法. 自动化学报, 2009, 35(2): 202-205)
[11]
Golub G H, Van L C F. Matrix Computations (Third Edition). London: The Johns Hopkins University Press, 1996. 396-397
[12]
Zhang Xian-Da. Matrix Analysis and Applications. Beijing: Tsinghua University Press, 2004. 630-637(张贤达. 矩阵分析与应用. 北京: 清华大学出版社, 2004. 630-637)
[13]
Cox T F, Cox M A A. Multidimensional Scaling. London: Chapman and Hall, 1994
[14]
Min W L, Lu K, He X F. Locality pursuit embedding. Pattern Recognition, 2004, 37(4): 781-788
[15]
Yang Jian, Li Fu-Xin, Wang Jue. A better scaled local tangent space alignment algorithm. Journal of Software, 2005, 16(9): 1584-1590(杨剑, 李伏欣, 王珏. 一种改进的局部切空间排列算法. 软件学报, 2005, 16(9): 1584-1590)
[16]
Wang J, Zhang Z Y, Zha H Y. Adaptive manifold learning. In: Proceedings of the Neural Information Processing Systems. Vancouver, Canada: The MIT Press, 2004. 1473-1480
[17]
He X F, Niyogi P. Locality preserving projections. In: Proceedings of the Neural Information Processing Systems. Vancouver, Canada: The MIT Press, 2003. 153-160
[18]
Zheng S W, Qiao H, Zhang B, Zhang P. The application of intrinsic variable preserving manifold learning method to tracking multiple people with occlusion reasoning. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. St. Louis, USA: IEEE, 2009. 2993-2998
[19]
Yang J, Zhang D, Frangi A F, Yang J Y. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(1): 131-137
[20]
De la Torre F, Black M J. Robust principal component analysis for computer vision. In: Proceedings of the 8th IEEE International Conference on Computer Vision. Vancouver, Canada: IEEE, 2001. 362-369
[21]
Chang H, Yeung D Y. Robust locally linear embedding. Pattern Recognition, 2006, 39(6): 1053-1065
[22]
Martinez A M. AR face database [Online], available: http://www2.ece.ohio-state.edu/~aleix/ARdatabase.html, February 16, 2011
