High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.
Jie LiuChunming ZhangCatherine A. McCartyPeggy L. PeissigElizabeth S. BurnsideDavid PagePublished in: AISTATS (2012)
Keyphrases
- markov random field
- high dimensional
- higher order
- belief propagation
- graph cuts
- random fields
- parameter estimation
- maximum a posteriori
- image restoration
- potential functions
- energy minimization
- image segmentation
- mrf model
- pairwise
- energy function
- low dimensional
- iterative conditional
- low level vision
- textured images
- conditional random fields
- map estimation
- loopy belief propagation
- potts model
- map inference
- partition function
- feature space
- feature vectors
- computer vision
- efficient inference
- discriminative random fields
- piecewise constant functions
- undirected graphical models
- maximum margin
- markov networks
- max margin learning