Keyphrases
- gaussian processes
- em algorithm
- hyperparameters
- expectation maximization
- mixture model
- gaussian mixture
- gaussian process
- image segmentation
- mixture distribution
- maximum likelihood
- gaussian mixture model
- generative model
- parameter estimation
- posterior distribution
- bayesian framework
- incomplete data
- mixture components
- free energy
- probabilistic model
- maximum a posteriori
- probability density function
- optical flow
- density estimation
- multi task
- unsupervised learning
- regression model
- k means
- pairwise
- support vector