The Deformable Featur Map - Adaptive Plasticity for Function Approximation

Wismüller A, Vietze F, Dersch DR, Hahn K, Ritter H (1998)
In: ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Niklasson L, Boden M, Ziemke T (Eds); Perspectives in Neural Computing, 1. London: Springer: 123-128.

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Author
; ; ; ;
Editor
Niklasson, L. ; Boden, M. ; Ziemke, T.
Abstract
In this paper, we present an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach reduces a class of similar function approximation problems to the explicit supervised one-shot trainng of a single data set. This is followed by a subsequent, appropriate similarity transformation which is based on a self-organized deformation of the underlying multidimensional probability distributions. After discussing the theory of the DM algorithm, we use a computer simulation to visualize its effects on a two-dimensional toy example. Finally, we present results of its application to the real-world problem of fully automatic voxel-based multispectral image segmentation, employing magnetic resonance data sets of the human brain.
Publishing Year
Conference
8th International Conference on Artificial Neural Networks
Location
Skövde, Sweden
Conference Date
1998-09-02 – 1998-09-04
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Cite this

Wismüller A, Vietze F, Dersch DR, Hahn K, Ritter H. The Deformable Featur Map - Adaptive Plasticity for Function Approximation. In: Niklasson L, Boden M, Ziemke T, eds. ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Perspectives in Neural Computing. Vol 1. London: Springer; 1998: 123-128.
Wismüller, A., Vietze, F., Dersch, D. R., Hahn, K., & Ritter, H. (1998). The Deformable Featur Map - Adaptive Plasticity for Function Approximation. In L. Niklasson, M. Boden, & T. Ziemke (Eds.), Perspectives in Neural Computing: Vol. 1. ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998 (pp. 123-128). London: Springer.
Wismüller, A., Vietze, F., Dersch, D. R., Hahn, K., and Ritter, H. (1998). “The Deformable Featur Map - Adaptive Plasticity for Function Approximation” in ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998, ed. L. Niklasson, M. Boden, and T. Ziemke Perspectives in Neural Computing, vol. 1, (London: Springer), 123-128.
Wismüller, A., et al., 1998. The Deformable Featur Map - Adaptive Plasticity for Function Approximation. In L. Niklasson, M. Boden, & T. Ziemke, eds. ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Perspectives in Neural Computing. no.1 London: Springer, pp. 123-128.
A. Wismüller, et al., “The Deformable Featur Map - Adaptive Plasticity for Function Approximation”, ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998, L. Niklasson, M. Boden, and T. Ziemke, eds., Perspectives in Neural Computing, vol. 1, London: Springer, 1998, pp.123-128.
Wismüller, A., Vietze, F., Dersch, D.R., Hahn, K., Ritter, H.: The Deformable Featur Map - Adaptive Plasticity for Function Approximation. In: Niklasson, L., Boden, M., and Ziemke, T. (eds.) ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Perspectives in Neural Computing. 1, p. 123-128. Springer, London (1998).
Wismüller, Axel, Vietze, Frank, Dersch, Dominik R., Hahn, Klaus, and Ritter, Helge. “The Deformable Featur Map - Adaptive Plasticity for Function Approximation”. ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998. Ed. L. Niklasson, M. Boden, and T. Ziemke. London: Springer, 1998.Vol. 1. Perspectives in Neural Computing. 123-128.
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