Keyphrases
- generative model
- posterior probability
- fisher kernel
- probabilistic model
- discriminative learning
- bayesian framework
- mixture model
- discriminative models
- em algorithm
- conditional random fields
- prior knowledge
- maximum entropy principle
- semi supervised
- hierarchical hidden markov models
- kernel function
- maximum likelihood
- object categories
- posterior distribution
- markov networks
- kernel methods
- hidden variables
- bayesian networks
- bayesian inference
- topic models
- expectation maximization
- feature space
- generative and discriminative models
- maximum entropy
- multiple kernel learning
- hidden markov models
- object recognition