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subspace learning

96 papers

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Co-occurring keywords

dimensionality reduction (720) outlier detection (318) multi-view learning (391) manifold learning (402) multi-view clustering (199) sparse representation (297) robust principal component analysis (62) low-rank representation (71) principal component analysis (316) spectral clustering (304)

Papers

A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014
Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014
Least Informative Dimensions NIPS 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013
Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013
Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013
Scalable Sparse Subspace Clustering CVPR 2013
On the Sample Complexity of Subspace Learning NIPS 2013
Learning a set of directions COLT 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013
Dense Non-rigid Point-Matching Using Random Projections CVPR 2013
Projection Retrieval for Classification NIPS 2012
Algebraic Geometric Comparison of Probability Distributions JMLR 2012
Convex Multi-view Subspace Learning NIPS 2012
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension JMLR 2008
Theory of matching pursuit NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006