On Approximate Nonlinear Gaussian Message Passing on Factor Graphs.

Eike Petersen Christian Hoffmann Philipp Rostalski

Published in: SSP (2018)

Keyphrases

message passing
factor graphs
inference in graphical models
belief propagation
probabilistic inference
distributed systems
graphical models
approximate inference
graph cuts
maximum likelihood
gaussian model
similarity measure
post processing
stereo matching
dynamic bayesian networks
variational methods