Bayesian inference for adaptive low rank and sparse matrix estimation.

Xixi Jia Xiangchu Feng Weiwei Wang Chen Xu Lei Zhang

Published in: Neurocomputing (2018)

Keyphrases

bayesian inference
low rank and sparse
hierarchical bayesian
hierarchical bayesian model
convex optimization
low rank
signal recovery
probabilistic model
prior information
hyperparameters
variational inference
particle filter
expectation propagation
high order
data sets
generative model
machine learning