Sequence estimation in the presence of random parameters via the EM algorithm.
Costas N. GeorghiadesJae Choong HanPublished in: IEEE Trans. Commun. (1997)
Keyphrases
- em algorithm
- maximum likelihood estimation
- parameter estimation
- expectation maximization
- maximum likelihood
- log likelihood function
- maximum likelihood estimates
- update equations
- likelihood function
- expectation maximisation
- mixture model
- gaussian mixture
- density estimation
- gaussian mixture model
- hyperparameters
- generative model
- parameter learning
- probability density function
- map estimation
- mixture distribution
- image segmentation
- hidden variables
- incomplete data
- maximum a posteriori
- log likelihood
- likelihood maximization
- feature selection
- baum welch
- probabilistic model
- mixture modeling
- unsupervised learning
- finite mixtures
- k means
- finite mixture model
- probability distribution
- mixture components
- model based clustering
- density function