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» Transformations of Gaussian Process Priors
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CISS
2007
IEEE
14 years 1 months ago
Interference Mitigating in Wireless Networks Using Prior Knowledge
Abstract— We propose a framework to mitigate the interference in high data rate mobile wireless networking. Interference is a fundamental obstacle to achieve high data rates in w...
Kejing Liu, Stephan Bohacek, Javier Garcia-Frias
DAGM
2011
Springer
12 years 6 months ago
Using Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
Marcel Lüthi, Christoph Jud, Thomas Vetter
JCST
2010
139views more  JCST 2010»
13 years 5 months ago
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
Dilan Görür, Carl Edward Rasmussen
ICASSP
2010
IEEE
13 years 7 months ago
An adaptive level of detail approach to nonlinear estimation
In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Friedrich Faubel, Dietrich Klakow