The variational hierarchical EM algorithm for clustering hidden Markov models.
Emanuele CovielloAntoni B. ChanGert R. G. LanckrietPublished in: NIPS (2012)
Keyphrases
- em algorithm
- hidden markov models
- baum welch
- expectation maximization
- model based clustering
- mixture model
- mixture modeling
- unsupervised learning
- maximum likelihood
- k means
- hierarchical clustering
- maximum likelihood estimation
- gaussian mixture model
- parameter estimation
- conditional random fields
- clustering algorithm
- generative model
- log likelihood
- image segmentation
- incomplete data
- density estimation
- gaussian mixture
- sequential data
- hidden variables
- parameter learning
- maximum a posteriori
- hyperparameters
- gibbs sampling
- optical flow
- probability density function
- model selection
- probabilistic model