Training Gaussian Mixture Models at Scale via Coresets.
Mario LucicMatthew FaulknerAndreas KrauseDan FeldmanPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- gaussian mixture model
- mixture model
- speaker recognition
- feature vectors
- expectation maximization
- em algorithm
- probability density
- density estimation
- gaussian mixture
- maximum likelihood
- speaker identification
- feature space
- probability density function
- feature extraction
- gaussian distribution
- variational bayes
- finite mixtures
- active learning
- pattern recognition
- unsupervised learning
- probabilistic model
- training set
- similarity measure
- learning algorithm