Novelty detection employing an L<inf>2</inf> optimal non-parametric density estimator

This paper considers the application of a recently proposed L2 optimal non-parametric reduced set density estimator to novelty detection and binary classification and provides empirical comparisons with other forms of density estimation as well as support vector machines. © 2004 Elsevier B.V. All rights reserved