Maximum likelihood estimation of Gaussian mixture models without matrix operations.
Hien Duy NguyenGeoffrey J. McLachlanPublished in: Adv. Data Anal. Classif. (2015)
Keyphrases
- maximum likelihood estimation
- gaussian mixture model
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- probability density
- mixture of gaussians
- covariance matrices
- gaussian mixture
- parameter estimation
- speaker recognition
- multivariate gaussian
- density estimation
- log likelihood function
- generative model
- likelihood function
- background subtraction
- probability density function
- gaussian distribution
- unsupervised learning
- hyperparameters
- maximum a posteriori
- probability distribution
- probabilistic model
- machine learning
- feature vectors
- density function
- least squares
- active learning
- k means
- gaussian model
- speaker identification
- feature space
- image segmentation
- data mining