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TNN
2010
115views Management» more  TNN 2010»
14 years 9 months ago
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
N. Boely, R. M. Botez
ICPR
2000
IEEE
16 years 3 months ago
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-Shading
In this paper we introduce a new approach for recovering shape-from-shading (SFS) from synthetic aperture radar (SAR) images of the terrain. Three contributions are proposed. Firs...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...
ICIAP
2005
ACM
16 years 2 months ago
Statistical Modeling of Huffman Tables Coding
An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresp...
Sebastiano Battiato, Camillo Bosco, Arcangelo Brun...
CONCUR
2004
Springer
15 years 7 months ago
Model Checking Restricted Sets of Timed Paths
In this paper, we study the complexity of model-checking formulas of three important real-time logics (MTL, MITL, and TCTL) over restricted sets of timed paths. The classes of rest...
Nicolas Markey, Jean-François Raskin
107
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IPPS
1998
IEEE
15 years 6 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn