Abstract: This paper investigates local discriminant training and global optimization methods for Convolutional Neural Network (CNN) to improve its discriminant ability and recognition accuracy. For ...

Abstract: This paper introduces the conception of efficient projection vector by transforming Foley-Sammon discriminant analysis into a bi-objective constrained optimization problem. The conditions ...

Discriminant analysis is a classification problem, where two or more groups or clusters or populations are known a priori and one or more new observations are classified into one of the known ...