Robust Principal Component Pursuit via Inexact Alternating Minimization on Matrix Manifolds.

Michael Hintermüller Tao Wu

Published in: J. Math. Imaging Vis. (2015)

Keyphrases

principal components
alternating minimization
principal curves
principal component analysis
covariance matrix
data sets
total variation
dimensionality reduction
semi supervised
spatially varying
training set
high resolution
upper bound
mutual information
manifold learning
kullback leibler divergence