Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study.
Sanjiv KumarJonas AugustMartial HebertPublished in: EMMCVPR (2005)
Keyphrases
- parameter learning
- bayesian networks
- max margin
- discriminative classifiers
- structure learning
- bayesian network classifiers
- conditional random fields
- statistical learning
- generative model
- maximum likelihood
- parameter estimation
- em algorithm
- factor graphs
- approximate inference
- expectation maximization
- computer vision
- graphical models
- information theory
- markov random field
- probabilistic model
- discriminative learning
- posterior probability
- conditional independence
- information theoretic
- image segmentation
- structured prediction
- hidden variables