Discriminative Regularization for Generative Models.
Alex LambVincent DumoulinAaron C. CourvillePublished in: CoRR (2016)
Keyphrases
- generative model
- discriminative models
- discriminative learning
- generative and discriminative models
- discriminative methods
- semi supervised learning
- probabilistic model
- naive bayes models
- semi supervised
- discriminatively trained
- fisher kernel
- maximum entropy principle
- mixture model
- sparse coding
- prior knowledge
- em algorithm
- discriminative learning framework
- conditional random fields
- latent dirichlet allocation
- feature extraction
- maximum entropy
- object categories
- information retrieval
- learning tasks
- discrimination power
- probability distribution
- learning algorithm