Keyphrases
- parameter estimation
- gaussian mixture model
- em algorithm
- maximum likelihood
- expectation maximization
- mixture model
- model selection
- random fields
- maximum likelihood estimation
- statistical models
- likelihood function
- unsupervised learning
- posterior distribution
- speaker recognition
- markov random field
- least squares
- gaussian mixture
- generative model
- probabilistic model
- gaussian distribution
- parameter estimation algorithm
- information retrieval
- feature vectors
- feature space
- probability density function
- approximate inference
- image reconstruction
- markov chain monte carlo
- covariance matrices
- bayesian framework
- maximum a posteriori
- image segmentation
- image processing
- feature selection