Bayesian Learning for Low-Rank matrix reconstruction.

Martin Sundin Cristian R. Rojas Magnus Jansson Saikat Chatterjee

Published in: CoRR (2015)

Keyphrases

bayesian learning
low rank matrix
low rank
model selection
convex optimization
matrix factorization
singular value decomposition
sparse matrix
high resolution
missing data
image reconstruction
approximation methods
linear combination
posterior distribution
data sets
active learning