Time-dependent spatially varying graphical models, with application to brain fMRI data analysis.
Kristjan H. GreenewaldSeyoung ParkShuheng ZhouAlexander GiessingPublished in: NIPS (2017)
Keyphrases
- graphical models
- spatially varying
- data analysis
- belief propagation
- approximate inference
- probabilistic graphical models
- probabilistic model
- photometric stereo
- random variables
- human brain
- conditional random fields
- functional magnetic resonance imaging
- bayesian networks
- markov networks
- noisy images
- computer vision
- machine learning
- motion estimation
- blurred images
- three dimensional
- image segmentation