Adaptative labeling and regularization neural network a

摘要

Abstract: The main feature of this paper is to show that the key point of two different problems tackled by neural approaches - pairing pattern and function approximation - lies in the choice of the regularization term in the function which is minimized by the neural approach. After the description of a new algorithm allowing the matching between two set of points with a nonuniform distribution in the plane, and a registration based on the regularization theory, we show that a multitemporal analysis can easily be done. !7