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» Modelling Smooth Paths Using Gaussian Processes
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ICASSP
2011
IEEE
14 years 10 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 6 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 10 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 11 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 7 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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