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» Bayesian Classification With Gaussian Processes
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ICPR
2008
IEEE
15 years 4 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
TIP
2011
170views more  TIP 2011»
14 years 4 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
AVSS
2007
IEEE
15 years 4 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
NIPS
2000
14 years 11 months ago
Occam's Razor
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour...
Carl Edward Rasmussen, Zoubin Ghahramani
PRL
2002
102views more  PRL 2002»
14 years 9 months ago
Face detection by aggregated Bayesian network classifiers
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate...
Thang V. Pham, Marcel Worring, Arnold W. M. Smeuld...