On Mixing in Pairwise Markov Random Fields with Application to Social Networks.
Konstantin AvrachenkovLenar IskhakovMaksim MironovPublished in: WAW (2016)
Keyphrases
- markov random field
- pairwise
- social networks
- belief propagation
- graph cuts
- random fields
- higher order
- parameter estimation
- potential functions
- mrf model
- image segmentation
- least squares
- image restoration
- high order
- maximum a posteriori
- energy minimization
- map estimation
- energy function
- message passing
- low level vision
- conditional random fields
- non stationary
- semi supervised
- map inference
- machine learning
- lower bound
- computer vision
- graphical structure