Table of Contents
Advances in Artificial Neural Systems
Volume 2012 (2012), Article ID 962105, 13 pages
http://dx.doi.org/10.1155/2012/962105
Research Article

Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms

1400 Dirac Science Library, Florida State University, Tallahassee, FL 32306-4120, USA
2Department for Informatics, Research Unit for Database Systems, University of Munich, Oettingenstraße 67, 80538 Munich, Germany
3Klinikum rechts der Isar der TUM, Ismaninger Straße 22, 81675 Munich, Germany
4Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany

Received 14 February 2012; Accepted 1 April 2012

Academic Editor: Juan Manuel Gorriz Saez

Copyright © 2012 Claudia Plant et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Claudia Plant, Son Mai Thai, Junming Shao, Fabian J. Theis, Anke Meyer-Baese, and Christian Böhm, “Measuring Non-Gaussianity by Phi-Transformed and Fuzzy Histograms,” Advances in Artificial Neural Systems, vol. 2012, Article ID 962105, 13 pages, 2012. doi:10.1155/2012/962105