Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations.
Yingzhuo ZhangNoa Malem-ShinitskiStephen A. AllsopKay TyeDemba E. BaPublished in: CoRR (2017)
Keyphrases
- markov random field
- mrf model
- higher order
- belief propagation
- random fields
- graph cuts
- maximum a posteriori
- image segmentation
- energy minimization
- image restoration
- conditional random fields
- pairwise
- parameter estimation
- energy function
- message passing
- textured images
- prior model
- neighboring pixels
- mrf models
- markov random field model
- potential functions
- loopy belief propagation
- potts model
- mrf optimization
- map estimation
- machine learning