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ICCV
2003
IEEE
16 years 6 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
128
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PREMI
2005
Springer
15 years 10 months ago
Parallel Island Model for Attribute Reduction
Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
ARITH
2003
IEEE
15 years 9 months ago
Some Optimizations of Hardware Multiplication by Constant Matrices
This paper presents some improvements on the optimization of hardware multiplication by constant matrices. We focus on the automatic generation of circuits that involve constant m...
Nicolas Boullis, Arnaud Tisserand
ICML
2007
IEEE
16 years 5 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
BMCBI
2004
154views more  BMCBI 2004»
15 years 4 months ago
Computation of elementary modes: a unifying framework and the new binary approach
Background: Metabolic pathway analysis has been recognized as a central approach to the structural analysis of metabolic networks. The concept of elementary (flux) modes provides ...
Julien Gagneur, Steffen Klamt