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M. Nasri and M. El Hitmy
ABSTRACT
Selecting the parameters for the classification is a delicate procedure. We present in this paper a new method for selecting the parameters based on the genetic algorithm which optimizes the choice of parameters by minimizing a cost function. This function is defined by a Trace criterion. Our approach is validated on some texture images. The proposed algorithm gives a fast convergence towards the optimal solution. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Algorithme {G}énétique et Critère de la Trace pour l'Optimisation du Vecteur Attribut: Application à la Classification Supervisée des Images de TexturesSite generated on Friday, 06 January 2006