Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- gaussian mixture model
- parameter estimation
- likelihood function
- generative model
- least squares
- probability density function
- maximum likelihood estimation
- gaussian mixture
- hidden variables
- hyperparameters
- expectation maximisation
- parameter learning
- likelihood maximization
- incomplete data
- density estimation
- gibbs sampling
- probabilistic model
- mixture modeling
- finite mixture model
- maximum a posteriori
- log likelihood function
- mixture distribution
- log likelihood
- computer vision
- latent dirichlet