Development of multiresolution hierarchical trees to non-cooperative target recognition

Abstract—In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is

2) Probability distribution of the distance measurement error: Until now, degree of membership to a class k has been described through the distance between two range profiles.

In the following we review some relevant vision-based approaches addressing the issue of human activity under- standing. Assuming that extraction of relevant human body information

For all of the above performance comparisons in the experimental results, it can be concluded that despite that our approach does not provide the high recognition rate for all

In this paper we present a new method for slip inversion based on the solution for an angular dislocation in an elastic half-space, employing triangular elements of

Shape databases: We have applied the classifier fusion methods to the combination of shape descriptors using three binary classifiers: Discrete Adaboost (DAB), Linear

Les clones pour lesquels plusieurs isolats ont été retrouvés sont indiqués par des rectangles gris au niveau des feuilles L’arbre a été raciné sur une