On the Estimation of the Wasserstein Distance in Generative Models.
Thomas PinetzDaniel SoukupThomas PockPublished in: GCPR (2019)
Keyphrases
- generative model
- discriminative learning
- probabilistic model
- discriminative models
- mixture model
- em algorithm
- hierarchical hidden markov models
- parameter estimation
- prior knowledge
- expectation maximization
- conditional random fields
- hidden variables
- semi supervised
- object categories
- generative and discriminative models
- distance measure
- semi supervised learning
- image processing
- topic models
- maximum likelihood estimation
- maximum entropy principle
- training data
- deep belief networks
- decision trees