Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures.
Hyeyoung ParkTomoko OzekiPublished in: Neural Process. Lett. (2009)
Keyphrases
- gaussian mixture
- em algorithm
- expectation maximization
- mixture model
- gaussian mixture model
- maximum likelihood
- generative model
- probability density function
- parameter estimation
- maximum likelihood estimation
- expectation maximisation
- convergence rate
- gibbs sampling
- log likelihood
- log likelihood function
- mixture modeling
- maximum a posteriori
- probabilistic model
- gaussian distribution
- hyperparameters
- image segmentation
- covariance matrix
- bayesian framework
- mixture of gaussians
- semi supervised
- data streams