Dimensionality Reduction via Subspace and Submanifold Learning
暂无分享,去创建一个
Guillermo Sapiro | René Vidal | Partha Niyogi | Yi Ma | P. Niyogi | Yi Ma | R. Vidal | G. Sapiro
[1] Allen Y. Yang,et al. Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data , 2008, SIAM Rev..
[2] John Wright,et al. Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Guillermo Sapiro,et al. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds , 2006, NIPS.
[4] S. Shankar Sastry,et al. Generalized principal component analysis (GPCA) , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[6] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[7] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[8] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[9] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .