A New Discriminative Kernel From Probabilistic Models.
Koji TsudaMotoaki KawanabeGunnar RätschSören SonnenburgKlaus-Robert MüllerPublished in: NIPS (2001)
Keyphrases
- probabilistic model
- discriminative models
- generative model
- fisher kernel
- graphical models
- latent variables
- conditional random fields
- probabilistic modeling
- bayesian inference
- mixture model
- language model
- semi supervised
- expectation maximization
- kernel function
- kernel methods
- hidden variables
- crf model
- latent space
- component analysis
- discriminative power
- feature space
- support vector
- class separability
- spatial pyramid
- feature extraction
- kernel matrix
- bayesian networks
- bayesian network classifiers
- linear classifiers
- reproducing kernel hilbert space
- discriminative features
- markov networks
- gaussian processes
- sparse coding
- topic models
- unsupervised learning