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