Iterative Curve Organisation with the EM Algorithm.
José A. F. LeiteEdwin R. HancockPublished in: SBIA (1996)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- generative model
- gaussian mixture model
- maximum likelihood estimation
- parameter estimation
- likelihood function
- gaussian mixture
- incomplete data
- expectation maximisation
- density estimation
- log likelihood
- maximum a posteriori
- probability density function
- gibbs sampling
- mixture modeling
- penalized likelihood
- bayesian networks
- parameter learning
- hidden variables
- bayesian framework
- probability distribution
- finite mixture models
- machine learning