EM mixture model probability table compression.

Sung-Jung Cho Michael Perrone Eugene H. Ratzlaff

Published in: ICASSP (2) (2003)

Keyphrases

mixture model
expectation maximization
em algorithm
gaussian mixture model
generative model
probabilistic model
density estimation

unsupervised learning
maximum likelihood
model selection
mixture modeling
language model
probability distribution
mixture of gaussians

gaussian mixture
prior knowledge
probability density function
conditional probabilities
object recognition
machine learning
finite mixture model

model based clustering
probabilistic mixture model
maximum likelihood estimation
gaussian distribution
parameter estimation
supervised learning
decision trees