References - Hierarchical Neural Networks for Image Interpretation - page 220

19. Volker Baumgarte, Frank May, Armin Nuckel, Martin Vorbach, and Markus Weinhardt.
PACT XPP - A self-reconfigurable data processing architecture. In Proceedings of Inter-
national Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA
2001) - Las Vegas , 2001.
20. Sven Behnke, Bernhard Frotschl, Raul Rojas, Peter Ackers, Wolf Lindstrot, Manuel
de Melo, Andreas Schebesch, Mark Simon, Martin Sprengel, and Oliver Tenchio. Us-
ing hierarchical dynamical systems to control reactive behavior. In M. Veloso, E. Pag-
ello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III , volume 1856 of
LNCS , pages 186-195. Springer, 2000.
21. Sven Behnke, Marcus Pfister, and Raul Rojas. Recognition of handwritten digits using
structural information. In Proceedings of International Conference on Neural Networks
(ICNN'97) - Houston , volume 3, pages 1391-1396, 1997.
22. Sven Behnke, Marcus Pfister, and Raul Rojas. A study on the combination of classifiers
for handwritten digit recognition. In Proceedings of Third International Workshop on
Neural Networks in Applications (NN'98) - Magdeburg, Germany , pages 39-46, 1998.
23. Sven Behnke and Raul Rojas. Activity driven update in the Neural Abstraction Pyramid.
In Proceedings of International Conference on Artificial Neural Networks (ICANN'98)
- Skovde, Sweden , volume 2, pages 567-572, 1998.
24. Sven Behnke and Raul Rojas. Neural Abstraction Pyramid: A hierarchical image un-
derstanding architecture. In Proceedings of International Joint Conference on Neural
Networks (IJCNN'98) - Anchorage , volume 2, pages 820-825, 1998.
25. Sven Behnke and Raul Rojas. A hierarchy of reactive behaviors handles complexity.
In M. Hennebauer, J. Wendler, and E. Pagello, editors, Balancing Reactivity and Social
Deliberation in Multi-Agent Systems , volume 2103 of LNAI , pages 125-136, Berlin,
2001. Springer.
26. Anthony J. Bell and Terrence J. Sejnowski. An information-maximization approach to
blind separation and blind deconvolution. Neural Computation , 7(6):1129-1159, 1995.
27. Richard E. Bellman. Adaptive Control Processes . Princeton University Press, Priceton,
NJ, 1961.
28. Yoshua Bengio, Patrice Simard, and Paolo Frasconi. Learning long-term dependencies
with gradient descent is difficult. IEEE Transactions on Neural Networks , 5(2):157-166,
1994.
29. Kevin Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft. When is 'Near-
est Neighbor' meaningful? In Proceedings of 7th International Conference on Database
Theory (ICDT'99) - Jerusalem , pages 217-235, 1999.
30. Michael Biehl and Holm Schwarze. Learning by online gradient descent. Journal of

Physics A , 28:643-656, 1995.
31. Matthias Bierling. Displacement estimation by hierarchical blockmatching. SPIE Visual
Communications and Image Processing , 1001:942-951, 1988.
32. Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, and Manfred K. Warmuth. Oc-
cam's razor. Information Processing Letters , 24(6):377-380, 1987.
33. Rafal Bogacz and Marcin Chady. Local connections in a neural network improve pattern
completion. In Proceedings of 3rd International Conference on Cognitive and Neural
Systems (CNS'99) - Boston , 1999.
34. Jeremy S. De Bonet. Multiresolution sampling procedure for analysis and sysnthesis
of texture images. In Computer Graphics Proceedings SIGGRAPH'97 , pages 361-368,
1997.
35. Geoffrey M. Boynton, Jonathan B. Demb, Gary H. Glover, and David J. Heeger. Neu-
ronal basis of contrast discrimination. Vision Research , 39:257-269, 1999.
36. Leo Breiman, Charles J. Stone, Richard A. Olshen, and Jerome H. Friedman. Classifi-
cation and Regression Trees . Wadsworth International, Belmont, CA, 1984.
37. Jean Bullier. Feedback connections and conscious vision. Trends Cognitive Science ,

5(9):369-370, 2001.