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principal component analysis

316 papers

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Also known as

FPCA K-PCA WPCA PCA

Co-occurring keywords

dimensionality reduction (720) outlier detection (318) representation learning (6174) streaming algorithm (131) online learning (1770) low-rank approximation (322) differential privacy (1010) feature extraction (1578) matrix factorization (529) variational inference (2069)

Papers

Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Towards Pose Robust Face Recognition CVPR 2013
Truncated Power Method for Sparse Eigenvalue Problems JMLR 2013
Principal Component Analysis on non-Gaussian Dependent Data ICML 2013
Learning a set of directions COLT 2013
Online PCA for Contaminated Data NIPS 2013
Detecting Pulse from Head Motions in Video CVPR 2013
Local Fisher Discriminant Analysis for Pedestrian Re-identification CVPR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Online Robust PCA via Stochastic Optimization NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013
Transelliptical Component Analysis NIPS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA NIPS 2012
Isotropic Hashing NIPS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
Demixed Principal Component Analysis NIPS 2011
Sparse Features for PCA-Like Linear Regression NIPS 2011
A Rotation Test to Verify Latent Structure JMLR 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010