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Journal of Robotics
Volume 2011 (2011), Article ID 193146, 16 pages
http://dx.doi.org/10.1155/2011/193146
Research Article

Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net

Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA

Received 1 June 2011; Revised 27 September 2011; Accepted 28 September 2011

Academic Editor: Ivo Bukovsky

Copyright © 2011 Soumi Ray and Tim Oates. 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

Soumi Ray and Tim Oates, “Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net,” Journal of Robotics, vol. 2011, Article ID 193146, 16 pages, 2011. doi:10.1155/2011/193146