A Factorial Mixture Prior for Compositional Deep Generative Models.
Ulrich PaquetSumedh K. GhaisasOlivier TielemanPublished in: CoRR (2018)
Keyphrases
- generative model
- mixture model
- prior knowledge
- expectation maximization
- dirichlet process
- probabilistic model
- em algorithm
- bayesian framework
- discriminative learning
- discriminative models
- deep belief networks
- semi supervised
- maximum entropy principle
- generative and discriminative models
- maximum a posteriori
- hierarchical hidden markov models
- hidden variables
- hidden markov models
- conditional random fields
- deep learning
- topic models
- object categories
- machine learning
- maximum likelihood
- language model
- graphical models
- higher order
- image segmentation