In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
An original approach to represent 2D and 3D faces using Radial Geodesic Distances (RGDs) is proposed in this work. In 3D, the RGD of a generic point of the face surface is compute...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala, ...
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD,...
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of docu...