Using simulated annealing expectation maximization algorithm for hidden Markov model parameters estimation.
Jacques SimoninChafic MokbelPublished in: EUROSPEECH (1997)
Keyphrases
- expectation maximization
- hidden markov models
- simulated annealing
- baum welch
- markov model
- forward backward
- parameters estimation
- em algorithm
- viterbi algorithm
- dynamic programming
- computationally efficient
- generative model
- segmentation algorithm
- k means
- computational complexity
- kernel density
- machine learning
- continuous hidden markov models
- gaussian mixture
- density estimation
- image structure
- bayesian framework
- mixture model
- maximum likelihood
- image segmentation
- image processing