principal component analysis

Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity ICML 2016 Likelihood Ratio Calculation in Acoustic-Phonetic Forensic Voice Comparison: Comparison of Three Statistical Modelling Approaches Interspeech 2016 Multitask Principal Component Analysis ACML 2016 Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees AISTATS 2016 Online PCA with Optimal Regret JMLR 2016 On the Approximability of Sparse PCA COLT 2016 On the Statistical Limits of Convex Relaxations ICML 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Principal Component Projection Without Principal Component Analysis ICML 2016 Scalable geometric density estimation AISTATS 2016 Single Pass PCA of Matrix Products NeurIPS 2016 Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016 Synergistic Design of a Bio-Inspired Micro Aerial Vehicle with Articulated Wings RSS 2016 Tracking Contours of Orofacial Articulators from Real-Time MRI of Speech Interspeech 2016 Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs CVPR 2016 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015 Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015 Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables CVPR 2015 Fast 2D Border Ownership Assignment CVPR 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015 Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015 Online PCA with Spectral Bounds COLT 2015 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015