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ESANN
2003
15 years 4 months ago
Neural networks organizations to learn complex robotic functions
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban
123
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NCA
2007
IEEE
15 years 2 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Approximating the selectivity of multimedia range queries
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
Mario Döller, Harald Kosch
119
Voted
FSTTCS
2003
Springer
15 years 7 months ago
An Improved Approximation Scheme for Computing Arrow-Debreu Prices for the Linear Case
Recently, Jain, Mahdian and Saberi [5] had given a FPTAS for the problem of computing a market equilibrium in the Arrow-Debreu setting, when the utilities are linear functions. The...
Nikhil R. Devanur, Vijay V. Vazirani
111
Voted
HYBRID
2003
Springer
15 years 7 months ago
Approximate Stabilisation of Uncertain Hybrid Systems
Abstract−Stabilization of uncertain hybrid systems with controllable transitions is considered. Uncertainty enters in the form of a disturbance input that can affect both the co...
Yan Gao, John Lygeros, Marc Quincampoix, Nicolas S...