Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach.
Pierrick BruneauMarc GelgonFabien PicarougnePublished in: Pattern Recognit. (2010)
Keyphrases
- variational bayes
- gaussian mixture model
- mixture model
- feature vectors
- em algorithm
- bayesian inference
- maximum likelihood
- hyperparameters
- expectation maximization
- bayesian learning
- free energy
- feature space
- latent variables
- density estimation
- gaussian distribution
- latent dirichlet allocation
- prior information
- data mining
- probabilistic model
- machine learning