Keyphrases
- expectation maximization
- em algorithm
- probabilistic model
- maximum likelihood
- mixture model
- gaussian mixture model
- bayesian framework
- maximum likelihood estimation
- k means
- unsupervised learning
- parameter estimation
- image segmentation
- generative model
- maximum a posteriori
- model based clustering
- probability density function
- finite mixture model
- gaussian mixture
- density estimation
- feature selection
- parameter learning
- mixture of gaussians
- computer vision
- neural network