During my PhD studies, at the beginning of the 1990s, the integration of connectionist
systems with other techniques, especially symbol-based methods, was a challenging and …

In his book Statistical Pattern Recognition, Andrew Webb lays out a process for developing
solutions for pattern recognition problems. In this review I summarise that process, and …

The field of biometrics utilizes computer models of the physical and behavioral
characteristics of human beings with a view to reliable personal identification. The human …

Linear discriminant analysis (LDA) has been used for decades to extract features that
preserve class separability. It is classically defined as an optimization problem involving …

This paper presents a simple and efficient clustering technique based on the partitioning of
the data histogram. The clustering technique was developed in the context of a study of …

In this lecture notes a novel point of view onto discriminant models used for biometric
verification is presented. Various linear discriminant algorithms based on Fisher-like class …

As jyENT SELECTION FOR LINEAR Page 1 This dissertation has been 65-12,771 microfilmed
exactly as received ESTES, Samuel Edward, 1931As jyENT SELECTION FOR LINEAR psc …

Computational intelligence (CI) technologies are robust, can be successfully applied to
complex problems, are efficiently adaptive, and usually have a parallel computational …

The use of biometrics has been successfully applied to security applications for some time.
However, the extension of other potential applications with the use of biometric information …

The goal of pattern classification can be approached from two points of view: informative-
where the classifier learns the class densities, or discriminative-where the focus is on …