Integration of a topic probability distribution into surgical phase estimation with a hidden Markov model.
Dinh Tuan TranRyuhei SakuraiJoo-Ho LeePublished in: IECON (2015)
Keyphrases
- hidden markov models
- probability distribution
- maximum likelihood estimation
- kernel density
- speech recognition
- bayesian networks
- random variables
- viterbi algorithm
- forward backward
- markov models
- gesture recognition
- markov model
- handwritten word recognition
- posterior distribution
- conditional random fields
- topic models
- posterior probability
- probability density function
- sequential data
- hidden state
- hidden states
- graphical models
- expectation maximization
- topic modeling
- automatic speech recognition
- multi stream
- parameter estimation
- hierarchical dirichlet process
- em algorithm