In many applications, a reduction of the amount of the original data or a representation of the original data by a small set of variables is often required. Among many techniques, ...
Nowadays, every industry's goal is to improve their manufacturingprocesses and to increase their cadence of production, in order to be competitive. This goal usually implies ...
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
—To construct 3D virtual scenes from two-dimensional images with depth information, image warping techniques could be used. In this paper, a novel approach of cylindrical depth i...