Forward Operator Estimation in Generative Models with Kernel Transfer Operators.
Zhichun HuangRudrasis ChakrabortyVikas SinghPublished in: CoRR (2021)
Keyphrases
- generative model
- fisher kernel
- mixture model
- probabilistic model
- discriminative models
- discriminative learning
- hierarchical hidden markov models
- em algorithm
- maximum entropy principle
- generative and discriminative models
- conditional random fields
- kernel methods
- transfer learning
- density estimation
- topic models
- semi supervised
- prior knowledge
- object categories
- maximum likelihood estimation
- bayesian networks
- expectation maximization
- feature space