Maximum a posteriori linear regression for hidden Markov model adaptation.
Cristina ChestaOlivier SiohanChin-Hui LeePublished in: EUROSPEECH (1999)
Keyphrases
- linear regression
- maximum a posteriori
- map estimation
- markov random field
- least squares
- image reconstruction
- maximum likelihood
- mixture model
- bayesian framework
- posterior distribution
- expectation maximization
- em algorithm
- hyperparameters
- regression methods
- tree models
- prior distribution
- prior model
- image super resolution
- locally weighted
- energy function
- ridge regression
- nonlinear regression
- regression method
- regression trees
- image restoration
- parameter estimation
- kernel regression
- graph cuts
- generalized gaussian
- optical flow
- image sequences