Iterative curve organisation with the EM algorithm.
José A. F. LeiteEdwin R. HancockPublished in: Pattern Recognit. Lett. (1997)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- generative model
- gaussian mixture model
- expectation maximisation
- parameter estimation
- likelihood function
- maximum likelihood estimation
- gaussian mixture
- log likelihood
- likelihood maximization
- probability density function
- incomplete data
- mixture modeling
- density estimation
- penalized likelihood
- maximum a posteriori
- matrix factorisation
- finite mixtures
- finite mixture model
- model based clustering
- maximum likelihood estimates
- parameter learning
- hidden variables
- gibbs sampling
- image processing