-Minimization for Sparse Recovery under Arbitrary Prior Information.
Deanna NeedellRayan SaabTina WoolfPublished in: CoRR (2016)
Keyphrases
- prior information
- prior knowledge
- bayesian inference
- compressive sensing
- hyperparameters
- prior models
- high dimensional
- sparse data
- image recovery
- prior distribution
- random projections
- data sets
- prior model
- database
- statistical information
- shape prior
- sparse representation
- objective function
- neural network
- sparse matrix
- recovery algorithm