Modeling Sparse Deviations for Compressed Sensing using Generative Models.
Manik DharAditya GroverStefano ErmonPublished in: CoRR (2018)
Keyphrases
- compressed sensing
- generative model
- image reconstruction
- random projections
- sparse representation
- probabilistic model
- natural images
- compressive sampling
- discriminative learning
- sparse coding
- discriminative models
- orthogonal matching pursuit
- topic models
- signal processing
- prior knowledge
- em algorithm
- semi supervised
- high dimensional
- data sets
- expectation maximization
- image classification
- compressive sensing
- fourier domain
- input image