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» Functional radial basis function networks
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GRAPHITE
2003
ACM
14 years 1 months ago
Smooth surface reconstruction from noisy range data
This paper shows that scattered range data can be smoothed at low cost by fitting a Radial Basis Function (RBF) to the data and convolving with a smoothing kernel (low pass filt...
Jonathan C. Carr, Richard K. Beatson, Bruce C. McC...
TOG
2008
174views more  TOG 2008»
13 years 7 months ago
Real-time smoke rendering using compensated ray marching
We present a real-time algorithm called compensated ray marching for rendering of smoke under dynamic low-frequency environment lighting. Our approach is based on a decomposition ...
Kun Zhou, Zhong Ren, Stephen Lin, Hujun Bao, Baini...
EAAI
2010
119views more  EAAI 2010»
13 years 6 months ago
A heuristic-based framework to solve a complex aircraft sizing problem
Aircraft sizing studies consist in determining the main characteristics of an aircraft starting from a set of requirements. These studies can be summarized as global constrained o...
Céline Badufle, Christophe Blondel, Thierry...
ATAL
2005
Springer
14 years 1 months ago
Intelligent agents for wireless sensor networks
Interpolation is a technique used to estimate the value of a function at a given location, assuming that the values of the function are known for surrounding locations. A Wireless...
Richard Tynan, David Marsh, Donal O'Kane, Gregory ...
ESANN
2008
13 years 9 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...