Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction
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[1] Yihong Gong,et al. Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.
[2] Jiawei Han,et al. Semi-supervised Discriminant Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[3] D. Donoho,et al. Hessian Eigenmaps : new locally linear embedding techniques for high-dimensional data , 2003 .
[4] Baoxin Li,et al. Discriminative K-SVD for dictionary learning in face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[6] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[7] W. Boothby. An introduction to differentiable manifolds and Riemannian geometry , 1975 .
[8] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Jorge S. Marques,et al. Selecting Landmark Points for Sparse Manifold Learning , 2005, NIPS.
[10] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[11] Kjersti Engan,et al. Frame based signal compression using method of optimal directions (MOD) , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[12] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[13] Terence Sim,et al. The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Joshua B. Tenenbaum,et al. Global Versus Local Methods in Nonlinear Dimensionality Reduction , 2002, NIPS.
[15] David J. Kriegman,et al. Acquiring linear subspaces for face recognition under variable lighting , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.