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Building multivariate density functions based on promising direction vectors.
Ignacio Segovia-Dominguez
Arturo Hernández Aguirre
Published in:
IEEE Congress on Evolutionary Computation (2013)
Keyphrases
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density function
promising directions
probability density function
kernel density estimation
mean shift
density distribution
density estimation
maximum likelihood estimation
feature vectors
particle filtering
probability density
image processing
bayesian networks
prior knowledge
higher order
mixture of gaussians