Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields.
Youngsuk ParkDavid HallacStephen P. BoydJure LeskovecPublished in: AISTATS (2017)
Keyphrases
- markov random field
- pairwise
- network structure
- heterogeneous data
- belief propagation
- graph cuts
- energy minimization
- energy function
- higher order
- random fields
- image restoration
- maximum a posteriori
- potential functions
- complex networks
- structured prediction
- markov networks
- conditional random fields
- undirected graphical models
- high order
- database
- parameter estimation
- information sources
- image segmentation
- image processing
- social networks
- hidden variables
- computer vision
- loopy belief propagation
- databases