AUTHOR=Rudi Alessandro , De Vito Ernesto , Verri Alessandro , Odone Francesca TITLE=Regularized Kernel Algorithms for Support Estimation JOURNAL=Frontiers in Applied Mathematics and Statistics VOLUME=Volume 3 - 2017 YEAR=2017 URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2017.00023 DOI=10.3389/fams.2017.00023 ISSN=2297-4687 ABSTRACT=In the framework of non-parametric support estimation, we study the statistical properties of an estimator defined by means of Kernel Principal Component Analysis (KPCA). In the context of anomaly/novelty detection the algorithm was first introduced by Hoffmann in 2007. We also extend to above analysis to a larger class of set estimators defined in terms of a filter function.