On deep generative models with applications to recognition.
Marc'Aurelio RanzatoJoshua M. SusskindVolodymyr MnihGeoffrey E. HintonPublished in: CVPR (2011)
Keyphrases
- generative model
- probabilistic model
- mixture model
- discriminative learning
- discriminative models
- deep belief networks
- object recognition
- prior knowledge
- conditional random fields
- semi supervised
- em algorithm
- object categories
- generative and discriminative models
- representational power
- unsupervised learning
- maximum entropy principle
- hierarchical hidden markov models
- maximum entropy
- topic models
- action recognition
- machine learning
- expectation maximization
- support vector
- bayesian networks