Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables.
Shaojie XuSihan ZengJustin RombergPublished in: CoRR (2019)
Keyphrases
- latent variables
- compressive sensing
- generative model
- probabilistic model
- topic models
- prior knowledge
- hidden variables
- random projections
- graphical models
- sparse representation
- latent variable models
- gaussian process
- discriminative learning
- conditional random fields
- random variables
- image representation
- approximate inference
- expectation maximization
- signal processing
- language model
- bayesian framework
- latent dirichlet allocation
- structured prediction
- em algorithm
- bayesian networks
- image reconstruction
- image segmentation