The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models.
Varun JampaniSebastian NowozinMatthew LoperPeter V. GehlerPublished in: CoRR (2014)
Keyphrases
- bayesian inference
- gibbs sampler
- probabilistic model
- computer vision
- markov chain monte carlo
- statistical inference
- hidden variables
- generative model
- discriminative methods
- discriminative models
- variational inference
- prior information
- hyperparameters
- parameter estimation
- image segmentation
- bayesian models
- prior knowledge
- bayesian model
- prior distribution
- model selection
- semi supervised
- pairwise
- discriminative learning
- machine learning
- variational bayes
- bayesian networks
- markov chain
- random fields
- bayesian framework
- statistical models
- monte carlo
- expectation maximization