Parameter estimation of multi-dimensional hidden Markov models - a scalable approach.
Dhiraj JoshiJia LiJames Ze WangPublished in: ICIP (3) (2005)
Keyphrases
- hidden markov models
- parameter estimation
- multi dimensional
- maximum likelihood
- least squares
- model selection
- markov random field
- statistical models
- em algorithm
- parameter estimation algorithm
- markov models
- conditional random fields
- approximate inference
- posterior distribution
- speech recognition
- expectation maximization
- sequential data
- maximum likelihood estimation
- sequence classification
- high dimensional
- hidden state
- continuous hidden markov models
- structure learning
- sequential pattern mining
- markov chain monte carlo
- viterbi algorithm
- baum welch
- higher order