Probabilistic Discriminative Learning with Layered Graphical Models.
Yuesong ShenTao WuCsaba DomokosDaniel CremersPublished in: CoRR (2019)
Keyphrases
- graphical models
- discriminative learning
- generative model
- probabilistic model
- belief propagation
- bayesian networks
- belief networks
- random variables
- probabilistic inference
- markov networks
- conditional random fields
- structure learning
- structured prediction
- approximate inference
- posterior probability
- bayesian framework
- latent variables
- maximum margin
- object categories
- expectation maximization
- conditional independence
- graph structure
- bayesian inference
- hidden variables
- latent variable models
- object recognition
- em algorithm
- weakly supervised
- statistical relational learning
- learning algorithm
- latent dirichlet allocation
- message passing
- conditional probabilities
- image set
- input image
- prior knowledge
- image segmentation
- computer vision