Kernel-based topographic map formation by local density modeling
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1K. U. Leuven, Laboratorium voor Neuro- en Psychofysiologie, Leuven, Belgium. marc@neuro.kuleuven.ac.be
Neural Computation
|June 25, 2002
Abstract:
We introduce a new learning algorithm for kernel-based topographic map formation. The algorithm generates a gaussian mixture density model by individually adapting the gaussian kernels' centers and radii to the assumed gaussian local input densities.
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