Compressed sensing reconstruction using Expectation Propagation.
Alfredo BraunsteinAnna Paola MuntoniAndrea PagnaniMirko PieropanPublished in: CoRR (2019)
Keyphrases
- compressed sensing
- expectation propagation
- image reconstruction
- gaussian process
- bayesian inference
- approximate inference
- random projections
- sparse representation
- density estimation
- variational bayes
- natural images
- graphical models
- signal processing
- gaussian mixture model
- latent variables
- learning algorithm
- fourier domain
- data sets
- probabilistic model
- generative model
- super resolution
- image classification
- bayesian methods
- nearest neighbor
- compressive sensing
- image processing
- feature extraction
- image sequences