On the estimation of hyperparameters in Bayesian approach of solving inverse problems.
Ali Mohammad-DjafariPublished in: ICASSP (5) (1993)
Keyphrases
- inverse problems
- hyperparameters
- image reconstruction
- model selection
- convex optimization
- cross validation
- global optimization
- maximum a posteriori
- closed form
- random sampling
- bayesian inference
- bayesian framework
- support vector
- prior information
- parameter space
- em algorithm
- sample size
- noise level
- optimization methods
- optimization problems
- incremental learning
- partial differential equations
- regularization parameter
- parameter settings
- missing values
- maximum likelihood
- incomplete data
- early vision
- generative model
- probabilistic model
- prior knowledge