A Fast Implementation of the EM Algorithm for Mixture of Multinomials.
Jan Peter PatistPublished in: ADMA (2006)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- gaussian mixture model
- mixture modeling
- maximum likelihood
- gaussian mixture
- mixture distribution
- finite mixture model
- maximum likelihood estimation
- generative model
- parameter estimation
- finite mixture models
- likelihood function
- incomplete data
- expectation maximisation
- maximum a posteriori
- penalized likelihood
- image segmentation
- probability density function
- probabilistic model
- log likelihood
- model based clustering
- mixture components
- unsupervised learning
- gaussian distribution
- image processing
- matrix factorisation
- finite mixtures
- likelihood maximization
- feature space
- log likelihood function
- pairwise
- bayesian framework
- maximum likelihood estimates
- density estimation