Multi-scale Graphical Models for Spatio-Temporal Processes.
Firdaus JanoosHuseyin DenliNiranjan A. SubrahmanyaPublished in: NIPS (2014)
Keyphrases
- graphical models
- spatio temporal
- multiscale
- belief propagation
- random variables
- probabilistic model
- probabilistic graphical models
- probabilistic inference
- approximate inference
- conditional random fields
- structure learning
- markov networks
- bayesian networks
- moving objects
- conditional independence
- map inference
- graph structure
- exact inference
- belief networks
- image sequences
- message passing
- image processing
- higher order
- loopy belief propagation
- undirected graphical models
- em algorithm
- probability distribution
- factor graphs