Sparse Bayesian regularization using Bernoulli-Laplacian priors.
Lotfi ChaâriJean-Yves TourneretHadj BatatiaPublished in: EUSIPCO (2013)
Keyphrases
- sparse coding
- sparse representation
- prior information
- high dimensional
- real valued
- neural network
- sparse data
- mixture model
- image processing
- dirichlet process
- compressed sensing
- compressive sensing
- random projections
- bayesian framework
- high order
- generative model
- low dimensional
- edge detection
- prior knowledge
- graph cuts
- markov random field
- higher order
- graph laplacian
- multiscale
- semi supervised feature selection