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» Transformations of Gaussian Process Priors
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ESANN
2004
15 years 1 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
111
Voted
CVPR
2010
IEEE
15 years 8 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
TNN
2011
107views more  TNN 2011»
14 years 6 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
69
Voted
ICIP
2004
IEEE
16 years 1 months ago
Deringing and deblocking dct compression artifacts with efficient shifted transforms
A new method, using weighted combinations of shifted transforms, is developed for deringing and deblocking DCT compressed color images. The method shows substantial deringing impr...
Ramin Samadani, Arvind Sundararajan, Amir Said
ICCV
2011
IEEE
13 years 11 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss