Automatic Formation of Wavelet- and Gabor-Type Filters in an Adaptive-Subspace SOM
Automatic Formation of Wavelet- and Gabor-TypeFilters in an Adaptive-Subspace SOM
Helsinki University of Technology
Neural Networks Research Centre
Rakentajanaukio 2 C, FIN-02150 Espoo, Finland
Abstract. It is shown in this paper that a particular adaptive self-organizing network is able to create sets of wavelet- and Gabor-type filters when randomly displaced or moving input patterns are used as training data. No analytical functional form of these filters is thereby postulated. It is plausible that the same kind of adaptive system could create many other kinds of invariant-feature filters, if there exist corresponding transformations ...