Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems.
Ali Mohammad-DjafariPublished in: ICIP (2) (1996)
Keyphrases
- hyperparameters
- joint estimation
- inverse problems
- model selection
- cross validation
- bayesian inference
- maximum likelihood
- image reconstruction
- random sampling
- maximum a posteriori
- parameter space
- closed form
- bayesian framework
- support vector
- em algorithm
- noise level
- regularization parameter
- prior information
- global optimization
- sample size
- incremental learning
- parameter settings
- convex optimization
- parameter values
- incomplete data
- bayesian networks
- partial differential equations
- generative model
- optimization problems