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» Functional radial basis function networks
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GRAPHITE
2003
ACM
15 years 11 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»
15 years 5 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»
15 years 4 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
15 years 11 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
15 years 7 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...