Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters.
Pierrick BruneauMarc GelgonFabien PicarougnePublished in: ICPR (2010)
Keyphrases
- variational bayes
- hyperparameters
- expectation maximization
- maximum likelihood
- probabilistic model
- bayesian inference
- parameter estimation
- principal component analysis
- mixture model
- posterior distribution
- model selection
- latent variables
- gaussian mixture model
- bayesian networks
- em algorithm
- feature extraction
- cross validation
- free energy
- generative model
- parameter values
- dimensionality reduction
- prior information
- bayesian framework
- parameter settings
- lower bound
- feature space
- gaussian process
- bayesian learning