Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers.
Aldebaro KlautauNikola JevticAlon OrlitskyPublished in: ICML (2003)
Keyphrases
- gaussian mixture model
- kernel classifiers
- mixture model
- speaker recognition
- feature vectors
- em algorithm
- maximum likelihood
- feature space
- expectation maximization
- density estimation
- probability density function
- semi supervised
- feature extraction
- feature selection
- data sets
- support vector
- decision functions
- upper bound
- learning algorithm
- data mining