Deep convolutional neural networks for uncertainty propagation in random fields.
Xihaier LuoAhsan KareemPublished in: CoRR (2019)
Keyphrases
- random fields
- convolutional neural networks
- maximum entropy
- conditional random fields
- markov random field
- convolutional network
- random field models
- parameter estimation
- non stationary
- textured images
- probabilistic model
- random field model
- pseudo likelihood
- autoregressive
- gibbs sampler
- texture model
- active learning
- multiscale
- model selection
- maximum likelihood
- decision theory