Oussama Aiadi

LINATI Laboratory

Univ Kasdi Merbah Ouargla 30000, Algeria

oussama.aiadi@univ- ouargla.dz

 

 

Abstract 

 

In this paper, we propose a new supervised probabilistic-based method for object recognition. Specifically, we conduct a process of supervised learning in which each class is represented by Gaussian Mixture Model (GMM). In order to group images having the same visual appearance, we cluster images related to each class using...

 

 

 Télécharger l'article : A supervised probabilistic model for visual object recognition