By Sebastian Bader, Steffen Hölldobler (auth.), Stefanos Kollias, Andreas Stafylopatis, Włodzisław Duch, Erkki Oja (eds.)
This e-book contains the complaints of the overseas convention on synthetic Neural Networks (ICANN 2006) hung on September 10-14, 2006 in Athens, Greece, with tutorials being awarded on September 10, the most convention happening in the course of September 11-13 and accompanying workshops on conception, cognition and interplay hung on September 14, 2006. The ICANN convention is prepared every year by way of the ecu Neural community Society in cooperation with the foreign Neural community Society, the japanese Neural community Society and the IEEE Computational Intelligence Society. it's the best ecu occasion overlaying all issues concerned about neural networks and comparable components. The ICANN sequence of meetings used to be initiated in 1991 and shortly grew to become the foremost ecu amassing for specialists in those fields. In 2006 the ICANN convention was once geared up via the clever structures Laboratory and the picture, Video and Multimedia platforms Laboratory of the nationwide Technical collage of Athens in Athens, Greece. From 475 papers submitted to the convention, the overseas software Committee chosen, following a radical peer-review procedure, 208 papers for book and presentation to 21 standard and 10 exact classes. the standard of the papers bought used to be commonly very excessive; subsequently, it was once impossible to just accept and contain within the convention software many papers of fine quality.
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Additional resources for Artificial Neural Networks – ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II
Sanson. Video indexing: Myth and reality. In Proceedings of International Workshop on Content-Based Multimedia Indexing, 2005. 7. M. Snoek and M. Worring. A state-of-the-art review on multimodal video indexing. In Proceedings of the 8th Annual Conference of the Advanced School for Computing and Imaging, 2002. 8. K. Sung and T. Poggio. Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1):39–51, 1998. 9. R. C. Veltkamp and M.
Ivan Villaverde, Manuel Gra˜ na, Alicia d’Anjou Position Control Based on Static Neural Networks of Anthropomorphic Robotic Fingers . . . . . . . . . . . . . . . . . . . . . . . . . Juan Ignacio Mulero-Mart´ınez, Francisco Garc´ıa-C´ ordova, Juan L´ opez-Coronado 878 888 Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts . . . . . . . . . . . . . . . . . . . . . . . . Georgios Petkos, Marc Toussaint, Sethu Vijayakumar 898 A Study on Optimal Conﬁguration for the Mobile Manipulator: Using Weight Value and Mobility .
7 % 0 is an even number. even(succ(X)) ← odd(X). % The successor of an odd X is even. odd(X) ← ¬even(X). } % If X is not even then it is odd. Fig. 4. The ﬁrst-order logic program P2 describing even and odd numbers. The intended meaning of the rules is given on the right. 25 Fig. 5. On the left is the plot of fP2 . On the right a piecewise constant approximation f¯P2 (for level n = 2) of fP2 is shown. The base b = 4 was used for the embedding. 4. Replace those by (a) sigmoidal and (b) raised cosine functions.
Artificial Neural Networks – ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II by Sebastian Bader, Steffen Hölldobler (auth.), Stefanos Kollias, Andreas Stafylopatis, Włodzisław Duch, Erkki Oja (eds.)