We develop a common theoretical framework for combining classifiers which use distinct
pattern representations and show that many existing schemes can be considered as special …

4,630,305 A 12, 1986 Borth 4,725,956 A 2, 1988 Jenkins.......................... 7O1/2 4,783,803 A
11, 1988 Baker et al. 5,228,087 A 7, 1993 Bickerton 5,278,911 A 1/1994 Bickerton …

Gaussian Mixture Models (GMMs) and Radial Basis Function (RBF) networks are two of the
promising neural models for pattern classification. In this laboratory exercise, your task is to …

This article first provides an review of important concepts in the field of information fusion,
followed by a review of important milestones in audio–visual person identification and …

This report first provides an overview of important concepts in the field of information fusion,
followed by a review of important milestones in audio-visual person identification and …

Identification of humans from arbitrary view points is an important requirement for different
tasks including perceptual interfaces for intelligent environments, covert security and access …

A methodology for fusing multiple instances of biometric data to improve the performance of
a personal identity verification system is developed. The fusion problem is formulated in the …

A deposited drop of bovine serum albumin salt solution experiences both gelation and
fracturation during evaporation. The cracks appearing at the edge of the gelling drop are …

This paper describes a multimodal approach for speaker verification. The system consists of
two classifiers, one using visual features and the other using acoustic features. A lip tracker …

We present an algorithm functioning as a supervisor module in a multi-expert decision
making machine. It uses the Bayes theory in order to estimate the biases of individual expert …