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Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm.
Erlandson Ferreira Saraiva
Francisco Louzada
Luís Aparecido Milan
Published in:
Appl. Math. Comput. (2014)
Keyphrases
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expectation maximization
mixture model
probabilistic model
density estimation
posterior probability
learning algorithm
k means
em algorithm
markov chain monte carlo
similarity measure
dirichlet process
gaussian mixture
bayesian framework
feature space
bayesian networks
image segmentation
computer vision