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NN
2006
Springer
13 years 9 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
TSP
2008
13 years 9 months ago
2008
We derive optimal filters on the sphere in the context of detecting compact objects embedded in a stochastic background process. The matched filter and the scale adaptive filter ar...
CGF
2004
13 years 8 months ago
2004
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
SIAMJO
2000
13 years 8 months ago
2000
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
CGA
1998
13 years 8 months ago
1998
This paper presents a volumetric representation for the global illumination within a space based on the radiometric quantity irradiance. We call this representation the irradiance...