Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition.

Maboud F. Kaloorazi Rodrigo C. de Lamare

Published in: DSP (2017)

Keyphrases

low rank and sparse
convex optimization
signal recovery
low rank
hierarchical bayesian model
singular values
low rank matrix
singular value decomposition
learning algorithm
missing data
low rank approximation
feature selection
feature extraction
signal processing
low dimensional
topic modeling