principal component analysis

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Shell PCA: Statistical Shape Modelling in Shell Space ICCV 2015 Stay on path: PCA along graph paths ICML 2015 Tensor principal component analysis via sum-of-square proofs COLT 2015 Understanding Deep Features With Computer-Generated Imagery ICCV 2015 A statistical model for tensor PCA NeurIPS 2014 Cone-Constrained Principal Component Analysis NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014 Randomized Nonlinear Component Analysis ICML 2014 Robust Principal Component Analysis with Complex Noise ICML 2014 Scale-space Processing Using Polynomial Representations CVPR 2014 Sparse PCA with Oracle Property NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 3D R Transform on Spatio-temporal Interest Points for Action Recognition CVPR 2013 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Detecting Pulse from Head Motions in Video CVPR 2013 Dirty Statistical Models NeurIPS 2013 Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013