Abstract
In this paper we present a distributed multicolumnar system using an intracolumnar principal component analysis (PCA) for a topology preserving mapping of real-world grey level distributions within a two-dimensional intercolumnar Kohonen Feature Map. A two-stage principal component analysis within each processing column allows a similarity preserving description with only a few highly effective fitting parameters suited for a local translation invariant processing.
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Supported by Ministry of Research and Technology (BMFT), Grant No. 413-5839-01 IN 101D — NAMOS-Project
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References
Gross, H. M., Koerner, E., Boehme, H. J., Pomierski, T. A Neural Network Hierarchy for Data and Knowledge Controlled Selective Visual Attention. In Proceedings of ICANN92, vol. 1, pp. 825–828, Brighton, 1992.
Kohonen, T. Self-Organization and Associative Memory, 3rd Edition, Springer Verlag, Berlin, 1989.
Oja, E. A Simplified Neuron Model as Principal Component Analyzer. In J. Math. Biol., vol. 15, pp. 267–273, 1982.
Ritter, H., Schulten, K., Martinetz, T. Neuronale Netze, 2. erweiterte Auflage, Addison-Wesley, Bonn, 1991.
Sanger, T. D. Optimal unsupervised learning in a single-layer linear feedforward neural network. In Neural Networks, vol. 2, pp. 459–473, 1981.
Singer, W., Rauschecker, J. P. The Effects of Early Visual Experience on the Cat’s Visual Cortex and their Possible Explanation by Hebb Synapses. In J. Physiol., vol. 310, pp. 215–239, 1981.
Szenthagothai, J. Theorien zur Organisation und Funktion des Gehirns. In Naturwissenschaften, pp. 303–309, 1985.
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© 1993 Springer-Verlag London Limited
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Pomierski, T., Gross, H.M., Wendt, D. (1993). A Distributed Multicolumnar System for Primary Cortical Analysis of Real-World Scenes. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_32
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_32
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Print ISBN: 978-3-540-19839-0
Online ISBN: 978-1-4471-2063-6
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