A Feature Space Alignment Learning Algorithm
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Jihong Guan | Chao Tan | J. Guan | Chao Tan
[1] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[2] Erkki Oja,et al. Subspace methods of pattern recognition , 1983 .
[3] E. Oja,et al. On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix , 1985 .
[4] F. W. Kellaway,et al. Advanced Engineering Mathematics , 1969, The Mathematical Gazette.
[5] Ke Lu,et al. Locality pursuit embedding , 2004, Pattern Recognition.
[6] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[7] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[8] H. Zha,et al. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment , 2004, SIAM J. Sci. Comput..
[9] Juyang Weng,et al. Candid Covariance-Free Incremental Principal Component Analysis , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Alex Pentland,et al. Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.