Stochastic EM algorithm for mixture estimation on manifolds.
Paolo ZaniniSalem SaidCharles C. CavalcanteYannick BerthoumieuPublished in: CAMSAP (2017)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood estimation
- parameter estimation
- log likelihood function
- density estimation
- gaussian mixture model
- finite mixture model
- maximum likelihood
- mixture modeling
- gaussian mixture
- mixture distribution
- maximum likelihood estimates
- probabilistic model
- generative model
- mixture components
- likelihood function
- finite mixture models
- map estimation
- update equations
- hyperparameters
- probability density function
- unsupervised learning
- mixture of gaussians
- expectation maximisation
- probability density
- penalized likelihood
- hidden variables
- incomplete data
- maximum a posteriori
- gibbs sampling
- manifold learning
- low dimensional
- generalized em algorithm
- estimate the model parameters
- high dimensional
- log likelihood
- language model
- k means