Hidden Markov models with discrete infinite logistic normal distribution priors.
Hao ZhuJinsong HuHenry LeungPublished in: FUSION (2016)
Keyphrases
- hidden markov models
- normal distribution
- standard deviation
- probability density function
- random variables
- speech recognition
- sequence classification
- covariance matrix
- probability distribution
- viterbi algorithm
- sequential data
- conditional random fields
- visual speech recognition
- hidden states
- markov models
- bayesian framework
- upper bound
- stochastic context free grammars
- high dimensional
- hidden state
- image processing
- computer vision