Random swap EM algorithm for Gaussian mixture models.
Qinpei ZhaoVille HautamäkiIsmo KärkkäinenPasi FräntiPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- gaussian mixture model
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture
- parameter estimation
- maximum likelihood estimation
- generative model
- graph cuts
- hyperparameters
- probability density
- probability density function
- log likelihood
- density estimation
- gaussian distribution
- likelihood function
- finite mixture model
- expectation maximisation
- maximum a posteriori
- incomplete data
- model based clustering
- finite mixture models
- image segmentation
- active learning
- prior knowledge
- k means
- feature vectors
- mixture of gaussians
- bayesian information criterion
- training data
- face recognition
- log likelihood function
- minimum message length
- feature selection