Keyphrases
- em algorithm
- gaussian processes
- hyperparameters
- expectation maximization
- mixture model
- gaussian process
- covariance function
- gaussian mixture model
- sum product algorithm
- mixture modeling
- finite mixture model
- maximum likelihood
- gaussian mixture
- gaussian process regression
- mixture distribution
- parameter estimation
- image segmentation
- maximum likelihood estimates
- maximum likelihood estimation
- generative model
- closed form
- maximum a posteriori
- posterior distribution
- probabilistic model
- density estimation
- bayesian framework
- upper bound
- gaussian distribution
- model selection
- free energy
- image processing
- incomplete data
- probability density function
- k means
- feature space
- random sampling
- multi task
- bayesian inference
- message passing
- learning tasks
- learning algorithm