The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Over the past few years, a quiet revolution has been redefining our fundamental computing technologies. Flexible E-Ink, OLED displays, shape-changing materials, parametric design,...
Marcelo Coelho, Ivan Poupyrev, Sajid Sadi, Roel Ve...
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
Federated identity management is often viewed by corporations as a solution to support secure online commerce by synthesising complex and fragmented user information into a single...
Christine Satchell, Graeme G. Shanks, Steve Howard...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...