Rewriting a Deep Generative Model.
David BauSteven LiuTongzhou WangJun-Yan ZhuAntonio TorralbaPublished in: ECCV (1) (2020)
Keyphrases
- generative model
- probabilistic model
- mixture model
- bayesian framework
- deep belief networks
- em algorithm
- prior knowledge
- conditional random fields
- object categories
- discriminative learning
- topic models
- posterior probability
- data sets
- latent dirichlet allocation
- markov chain monte carlo
- feature representations
- discriminative models
- action recognition
- image classification
- low level
- learning process
- feature space