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» Approximate algorithms for neural-Bayesian approaches
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ESANN
2007
14 years 11 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
CAINE
2001
14 years 11 months ago
Model Reduction Scheme of State-Affine Systems
In this paper, a new method for the approximation of discrete time state-affine systems is proposed. The method is based on the diagonalization of proposed generalized controllabi...
Samir A. Al-Baiyat
CGF
2008
109views more  CGF 2008»
14 years 10 months ago
Occlusion Textures for Plausible Soft Shadows*
Authors' version: This paper presents a novel approach to obtain plausible soft shadows for complex dynamic scenes and a rectangular light source. We estimate the lights occl...
Elmar Eisemann, Xavier Décoret
CG
2006
Springer
14 years 10 months ago
Interruptible collision detection for deformable objects
This paper presents an approach to performing time-critical collision detection for deformable objects. The deformable objects are represented by dense meshes and their deformatio...
César Mendoza, Carol O'Sullivan
TIT
2008
81views more  TIT 2008»
14 years 10 months ago
Lagrangian Vector Quantization With Combined Entropy and Codebook Size Constraints
Abstract--In this paper, the Lagrangian formulation of variablerate vector quantization is extended to quantization with simultaneous constraints on entropy and codebook size, incl...
Robert M. Gray, Tamás Linder, John T. Gill ...