My publications

[1]	A. Gepperth. Nicht-BPS-Zustände in der Stringtheorie. Diploma thesis, Ludwig-Maximilians- Universität München, January 2002. [ .pdf ]
[2]	S. Roth, A. Gepperth, and C. Igel. Multi-objective structure optimization for visual object detection. In Y Jin, editor, Multi-objective Machine Learning, volume 16 of Studies in Computational Intelligence, pages 629-655. Springer Verlag Berlin/Heidelberg, 2005. [ .pdf ]
[3]	A. Gepperth, J. Edelbrunner, and T. Bücher. Real-time detection of cars in video sequences. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV2005), pages 625-631, June 2005. [ .pdf ]
[4]	A. Gepperth, J. Edelbrunner, and T. Bücher. Videobasierte Klassifikation von Fahrzeugen in Echtzeit. In M. Maurer and C. Stiller, editors, Tagungsband des 3. Workshops Fahrerassistenzsysteme, Walting, pages 121-128. Freundeskreis Mess- und Regelungstechnik Karlsruhe e.V., April 2005.
[5]	A. Gepperth and S. Roth. Applications of multi-objective structure optimization. In M. Verleysen, editor, Proceedings of the 5th European symposium on artificial neural networks, Brugge, pages 279- 284. d-side Publications, April 2005. [ .pdf ]
[6]	A. Gepperth and S. Roth. Applications of multi-objective structure optimization. Neurocomputing, (69):701-713, 2006. [ .ps ]
[7]	A. Gepperth. Object detection and feature base learning by sparse convolutional neural networks. Lecture notes in artificial intelligence 4807, p.221-231. Springer Verlag Berlin, Heidelberg, New York, 2006. [ .ps ]
[8]	A. Gepperth. Visual object classification by sparse convolutional neural networks. In M Verleysen, editor, Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN), Brugge, Belgium, pages 179-185. d-side Publications, April 2006. [ .pdf ]
[9]	A. Gepperth. Neural learning methods for visual object detection. PhD thesis, Ruhr- Universität Bochum, July 2006. [ .pdf ]
[10]	T.Michalke, A. Gepperth, M. Schneider, J. Fritsch, C. Goerick. Towards a Human-like Vision System for Resource-Constrained Intelligent Cars. The 5th International Conference on Computer Vision Systems Conference Paper, 2007. [ .pdf ]
[11]	A. Gepperth, B. Mersch, J. Fritsch, C.Goerick. Color object recognition in real-world scenes. In J.M. de Sa, editor, ICANN 2007, part II, Lecture notes in Computer Science, number 4469. Springer Verlag Berlin, Heidelberg, New York, 2007. [ .ps ]
[12]	A. Gepperth, J. Fritsch, C.Goerick. Computationally efficient neural field dynamics. In M.Verleysen, editor, Proceedings of the European Symposium on Artificial Neural Networks. d-side publications, 2008. [ .ps ]
[13]	A. Gepperth, J. Fritsch, C.Goerick. Cross-module learning as a first step towards a cognitive system concept. In Proceedings of the 1st International Conference on Cognitive Systems, 2008. [ .pdf ]
[14]	T. Michalke, R. Kastner, J. Adamy, S. Bone, F. Waibel, M. Kleinehagenbrock, J. Gayko, A. Gepperth, J. Fritsch, C.Goerick: An Attention-based System Approach for Scene Analysis in Driver Assistance. at - Automatisierungstechnik, 56 (11) pp. 575-584, 2008.
[15]	B. Dittes, M. Heracles, T. Michalke, R. Kastner, A. Gepperth, J. Fritsch, C. Goerick: A Hierarchical System Integration Approach with Application to Visual Scene Exploration for Driver Assistance. ICVS 2009. [ .pdf ]
[16]	M.Garcia Ortiz, A.Gepperth. Neural self-adaptation for large-scale system building. First International Conference on Cognitive Neurodynamics, 2009. [ .pdf ]
[17]	M.Garcia Ortiz, A.Gepperth. Autonomous generation of internal representations for associative learning. International Conference on Artificial Neural Networks (ICANN), 2010. [ .pdf ]
[18]	Jens Schmuedderich, Nils Einecke, Stephan Hasler, Alexander Gepperth, Bram Bolder, Robert Kastner, Mathias Franzius, Sven Rebhan, Benjamin Dittes, Heiko Wersing, Julian Eggert, Jannik Fritsch, and Christian Goerick. System approach for multi-purpose representations of traffic scene elements. In 13th International IEEE Annual Conference on Intelligent Transportation Systems, 2010. [ .pdf ]
[19]	A.Gepperth, S.Hasler, S.Rebhan, J.Fritsch. Biased competition in visual processing hierarchies: an early fusion approach using multiple cues. Cognitive Computation 3(1), 2011, special issue on saliency, attention and picture scanning. [ .pdf ]
[20]	M.Garcia Ortiz, F.Kummert, J.Fritsch, A.Gepperth. Behavior prediction at multiple time-scales in inner-city scenarios. IEEE Symposium on Intelligent Vehicles, 2011. [ .pdf ]
[21]	M.Garcia Ortiz, F.Kummert, J.Fritsch, A.Gepperth. Situation specific learning for ego-vehicle behavior prediction systems. International Conference on Intelligent Transportation Systems, 2011. \| no PDF yet! ]
[TR2010]	A.Gepperth. Implementation and evaluation of a large-scale object detection system. HRI-EU technical report TR 10-11, 2010. [ .pdf ]
[22]	A.Gepperth. Co-training of context models for real-time object detection. Accepted at IEEE International Symposium on Intelligent Vehicles, 2012. [no PDF yet!]
[22]	A.Gepperth, B.Dittes, M.G. Ortiz. The contribution of context information: a case study of object recognition in an intelligent car. Neurocomputing, 2012, accepted. [no PDF yet!]

Alexander Gepperth

My publications