Properties of the maximum a posteriori path estimator in hidden Markov models.
Amke CaliebePublished in: IEEE Trans. Inf. Theory (2006)
Keyphrases
- maximum a posteriori
- hidden markov models
- markov random field
- maximum likelihood
- map estimation
- image reconstruction
- bayesian framework
- em algorithm
- speech recognition
- expectation maximization
- conditional random fields
- posterior distribution
- hyperparameters
- energy function
- hidden state
- markov models
- sequential data
- baum welch
- minimum mean squared error
- belief propagation
- markov networks
- label field
- hidden states
- continuous hidden markov models
- markov model
- image denoising
- parameter estimation
- graph cuts
- probabilistic model