Overcomplete representation in a hierarchical Bayesian framework.
Monica PragliolaDaniela CalvettiErkki SomersaloPublished in: CoRR (2020)
Keyphrases
- dirichlet process
- bayesian framework
- bayesian model
- posterior distribution
- gaussian processes
- gaussian process
- prior knowledge
- generative model
- posterior probability
- hyperparameters
- bayesian formulation
- maximum a posteriori
- probability density function
- expectation maximization
- prior distribution
- linear combination
- bayesian methods
- data driven markov chain monte carlo
- data sets
- natural images
- regression model
- image representation
- low dimensional