subspace learning

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