Forward Operator Estimation in Generative Models with Kernel Transfer Operators.
Zhichun HuangRudrasis ChakrabortyVikas SinghPublished in: ICML (2022)
Keyphrases
- generative model
- probabilistic model
- fisher kernel
- mixture model
- discriminative learning
- discriminative models
- hierarchical hidden markov models
- feature space
- prior knowledge
- kernel methods
- object categories
- semi supervised
- conditional random fields
- maximum entropy principle
- generative and discriminative models
- kernel function
- representational power
- em algorithm
- topic models
- kernel pca
- expectation maximization
- naive bayes models
- training data