Recursive inference for inverse problems using variational Bayes methodology.
Anthony QuinnPublished in: VALUETOOLS (2011)
Keyphrases
- variational bayes
- inverse problems
- bayesian inference
- latent variables
- image reconstruction
- gaussian mixture model
- global optimization
- hyperparameters
- free energy
- convex optimization
- bayesian learning
- posterior distribution
- latent dirichlet allocation
- optimization methods
- exponential family
- probabilistic model
- optimization problems
- log likelihood
- model selection
- prior information
- maximum likelihood
- smoothness constraint
- expectation maximization
- cross validation
- partial differential equations
- random sampling
- motion segmentation
- machine learning
- closed form
- mixture model
- generative model
- particle filter
- feature vectors
- genetic algorithm