Maximum a posteriori linear regression (MAPLR) variance adaptation for continuous density HMMS.
Wu ChouXiaodong HePublished in: INTERSPEECH (2003)
Keyphrases
- linear regression
- maximum a posteriori
- posterior density
- expectation maximization
- markov random field
- map estimation
- least squares
- hidden markov models
- maximum likelihood
- image reconstruction
- bayesian framework
- regression methods
- em algorithm
- prior model
- posterior distribution
- hyperparameters
- nonlinear regression
- square loss
- generalized gaussian
- energy function
- kernel regression
- machine learning
- prior distribution
- mixture model
- computer vision
- pairwise
- generative model
- probabilistic model