Parsimonious variational-Bayes mixture aggregation with a Poisson prior.
Pierrick BruneauMarc GelgonFabien PicarougnePublished in: EUSIPCO (2009)
Keyphrases
- variational bayes
- exponential family
- gaussian mixture model
- closed form
- latent variables
- hyperparameters
- expectation maximization
- bayesian inference
- mixture model
- posterior distribution
- dirichlet process
- prior knowledge
- bayesian learning
- log likelihood
- maximum a posteriori
- free energy
- prior information
- em algorithm
- probabilistic model
- maximum likelihood
- density estimation
- bayesian framework
- graphical models
- statistical models
- model selection
- gaussian process
- feature vectors
- variational methods
- gaussian distribution
- cross validation
- missing values
- markov chain monte carlo
- latent dirichlet allocation
- random variables
- order statistics
- probability density function
- fixed point