Training sparse natural image models with a fast Gibbs sampler of an extended state space.
Lucas TheisJascha Sohl-DicksteinMatthias BethgePublished in: NIPS (2012)
Keyphrases
- natural images
- gibbs sampler
- state space
- prior models
- multiscale
- higher order
- denoising
- markov chain
- random fields
- bayesian inference
- gibbs sampling
- probabilistic model
- probability distribution
- training set
- input image
- machine learning
- dimensionality reduction
- object recognition
- model selection
- parameter estimation
- image processing
- computer vision