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ESANN
2003
15 years 6 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
146
Voted
NCA
2007
IEEE
15 years 4 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
141
Voted
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 10 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
137
Voted
FSTTCS
2003
Springer
15 years 10 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
135
Voted
HYBRID
2003
Springer
15 years 10 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...