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» Modelling Smooth Paths Using Gaussian Processes
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ICASSP
2011
IEEE
14 years 5 months ago
Joint Bayesian removal of impulse and background noise
We present a method for the removal of noise including nonGaussian impulses from a signal. Impulse noise is removed jointly a homogenous Gaussian noise floor using a Gabor regres...
James Murphy, Simon J. Godsill
CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 2 months ago
Fast space-variant elliptical filtering using box splines
The efficient realization of linear space-variant (non-convolution) filters is a challenging computational problem in image processing. In this paper, we demonstrate that it is po...
Kunal Narayan Chaudhury, Arrate Muñoz-Barru...
ICASSP
2009
IEEE
15 years 5 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
DATE
2010
IEEE
184views Hardware» more  DATE 2010»
15 years 7 months ago
Parallel subdivision surface rendering and animation on the Cell BE processor
—Subdivision Surfaces provide a compact way to describe a smooth surface using a mesh model. They are widely used in 3D animation and nearly all modern modeling programs support ...
R. Grottesi, S. Morigi, Martino Ruggiero, Luca Ben...
ACL
2006
15 years 3 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
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