The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
The story of some early computer art drawings in 1965 is told. It is a story of randomness. Computer art is viewed here as the programming of classes of aesthetic objects. In the ...
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
—The analysis of periodic or repetitive motions is useful in many applications, such as the recognition and classification of human and animal activities. Existing methods for th...
A number of global trends have a large influence on the way we use technology in our life and work, like: ? increasing connectivity and connected devices (any time, any place, any...
Johan Schuurmans, Boris E. R. de Ruyter, Harry van...