Limited-Memory Belief Propagation via Nested Optimization.
Christopher ZachPublished in: EMMCVPR (2017)
Keyphrases
- belief propagation
- limited memory
- graphical models
- message passing
- markov random field
- influence diagrams
- stereo matching
- graph cuts
- approximate inference
- memory space
- loopy belief propagation
- markov networks
- sliding window
- data streams
- pairwise
- free energy
- real time
- energy function
- fixed point
- optimization problems
- probabilistic model
- probabilistic inference
- belief networks
- random variables
- conditional random fields
- higher order
- lower bound
- reinforcement learning
- machine learning