Abstract: In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results.

ABSTRACT: Breast cancer is one of the most common and deadliest types of cancer among women and early detection is of major importance to decrease mortality rates. Microcalcification clusters and ...

Abstract: The Fisher's Linear Discriminant Analysis (FLDA) is a successful linear feature extraction method which aims to maximize the between-class separability and to minimize the within-class ...