Bayesian model based parameter estimation and model selection in impulsive noise environments.
J. J. K. RooneyWilliam J. FitzgeraldPublished in: ICASSP (4) (1993)
Keyphrases
- mixture model
- model selection
- parameter estimation
- impulsive noise
- posterior distribution
- color images
- bayesian model selection
- cross validation
- median filter
- marginal likelihood
- image deblurring
- hyperparameters
- impulse noise
- markov chain monte carlo
- noise reduction
- maximum likelihood
- motion segmentation
- sample size
- gaussian noise
- machine learning
- approximate inference
- variable selection
- statistical models
- em algorithm
- multiscale
- feature selection
- posterior probability
- likelihood function
- expectation maximization
- gaussian process
- markov random field
- bayesian networks