On a new stochastic version of the EM algorithm.
Colin CampbellSimon J. GodsillPublished in: EUSIPCO (1998)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- expectation maximisation
- gaussian mixture
- generative model
- gaussian mixture model
- hyperparameters
- model based clustering
- log likelihood
- likelihood function
- likelihood maximization
- incomplete data
- maximum a posteriori
- mixture modeling
- log likelihood function
- image processing
- parameter learning
- hidden variables
- probabilistic model
- machine learning
- gibbs sampling
- finite mixture model
- probability density function
- finite mixture models
- penalized likelihood