Convolutional Factor Graphs as Probabilistic Models
Yongyi MaoFrank R. KschischangBrendan J. FreyPublished in: CoRR (2012)
Keyphrases
- factor graphs
- probabilistic model
- graphical models
- latent variables
- belief propagation
- deep belief networks
- approximate inference
- probabilistic graphical models
- message passing
- markov networks
- generative model
- conditional random fields
- undirected graphical models
- bayesian networks
- exact inference
- probabilistic inference
- random variables
- bayesian inference
- restricted boltzmann machine
- hidden variables
- topic models
- structure learning
- conditional probabilities
- expectation maximization
- belief networks
- random fields
- gaussian process
- posterior probability
- learning algorithm
- higher order
- least squares
- support vector
- computer vision