Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model

We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned dictionary. Such a problem finds a variety of applications such as image denoising, feature extraction, etc... (read more)

Results in Papers With Code
(↓ scroll down to see all results)