Combined modeling of sparse and dense noise improves Bayesian RVM.

Martin Sundin Saikat Chatterjee Magnus Jansson

Published in: EUSIPCO (2014)

Keyphrases

relevance vector machine
sparse bayesian learning
gaussian processes
bayesian learning
arbitrary shape
high dimensional
bayesian networks
sparse data
random noise
bayesian approaches
edge detection
markov random field
posterior distribution
neural network
noise model
multiscale
learning algorithm