Two new algorithms for computer recognition of human faces, one based on the
computation of a set of geometrical features, such as nose width and length, mouth position …

This paper presents a person identification system based on acoustic and visual features.
The system is organized as a set of non-homogeneous classifiers whose outputs are …

In this paper we compare to the standard correlation coefficient three estimators of similarity
for visual patterns which are based on the L2and L1 norms. The emphasis of the …

This paper describes a multisensorial person-identification system in which visual and
acoustic cues are used jointly for person identification. A simple approach, based on the …

This paper analyzes properties of a certain class of approximation techniques—HyperBF
networks—in face perception tasks. The problem of gender classification and identification is …

In this paper different algorithms for training multilayer perceptron architectures are applied
to a significant discrimination task in high energy physics. The One-Step Secant technique is …

A correlation-based approach to automatic face recognition requires adequate
normalization techniques. If the positioning of the face in the image is accurate, the need for …

This paper describes an Automatic Speech Understanding (ASU) system used in a human-
robot interface for the remote control of a mobile robot. The intended application is that of an …

The revival of multilayer neural networks in the mid 1980s originated from the discovery of
the back propagation technique as a feasible training procedure. In spite of its shortcomings …

A similarity measure is needed in many Computer Vision problems. Although Euclidean
distance has traditionally been used, median distance was recently proposed as an …