A mixture model and EM algorithm for robust classification, outlier rejection, and class discovery.
David J. MillerJohn BrowningPublished in: ICASSP (2) (2003)
Keyphrases
- mixture model
- em algorithm
- expectation maximization
- gaussian mixture model
- maximum likelihood
- generative model
- parameter estimation
- finite mixture model
- density estimation
- mixture components
- maximum likelihood estimation
- probabilistic model
- gaussian mixture
- mixture modeling
- maximum a posteriori
- model selection
- unsupervised learning
- finite mixture models
- probability density function
- k means
- language model
- machine learning