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» An Inverse Problem Approach to BRDF Modeling
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PRL
2000
182views more  PRL 2000»
14 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
IJCNN
2006
IEEE
15 years 3 months ago
Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems
— We consider the application of kernel canonical correlation analysis (K-CCA) to the supervised equalization of Wiener systems. Although a considerable amount of research has be...
Steven Van Vaerenbergh, Javier Vía, Ignacio...
LICS
2003
IEEE
15 years 3 months ago
Revisiting Digitization, Robustness, and Decidability for Timed Automata
We consider several questions related to the use of digitization techniques for timed automata. These very successful techniques reduce dense-time language inclusion problems to d...
Joël Ouaknine, James Worrell
IMAGING
2003
14 years 11 months ago
Spectral Color Processing Using an Interim Connection Space
The use of an Interim Connection Space (ICS) is proposed as a means for extending the concept of device independent color management to support spectral imaging. Color management,...
Mitchell R. Rosen, Noboru Ohta
CVPR
2004
IEEE
15 years 11 months ago
Bayesian Video Matting Using Learnt Image Priors
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
Nicholas Apostoloff, Andrew W. Fitzgibbon