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Expectation Maximization as Message Passing - Part I: Principles and Gaussian Messages
Justin Dauwels
Andrew W. Eckford
Sascha Korl
Hans-Andrea Loeliger
Published in:
CoRR (2009)
Keyphrases
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message passing
expectation maximization
em algorithm
maximum likelihood
gaussian mixture
gaussian mixture model
sum product algorithm
belief propagation
gaussian distribution
distributed systems
gaussian densities
gaussian model
factor graphs
mixture model
shared memory
graphical models
approximate inference
probabilistic model
parameter estimation
generative model
probabilistic inference
sum product
maximum a posteriori
probability density function
markov random field
bayesian framework
distributed shared memory
inference in graphical models
image segmentation
graph cuts
ldpc codes
post processing
matrix multiplication
linear programming
higher order