principal component analysis

CUR from a Sparse Optimization Viewpoint NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010 Simple Exponential Family PCA AISTATS 2010 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008 Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes JMLR 2008 Bayesian Exponential Family PCA NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Heterogeneous Component Analysis NeurIPS 2007 Locality and low-dimensions in the prediction of natural experience from fMRI NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 In-Network PCA and Anomaly Detection NeurIPS 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NeurIPS 2006 Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005 Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters JMLR 2004