Login / Signup
Particle Smoothing for Conditionally Linear Gaussian Models as Message Passing Over Factor Graphs.
Giorgio Matteo Vitetta
Emilio Sirignano
Francesco Montorsi
Published in:
IEEE Trans. Signal Process. (2018)
Keyphrases
</>
factor graphs
message passing
belief propagation
gaussian model
approximate inference
graphical models
sequential monte carlo methods
distributed systems
markov random field
probabilistic inference
latent variables
markov networks
computer vision
graph cuts
image sequences
exact inference
bayesian networks