A layered recurrent neural network for feature grouping

  • Heiko Wersing
  • Jochen J. Steil
  • Helge Ritter
Part III: Learning: Theory and Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

We describe a recurrent network, the Competitive Layer Model (CLM) for feature grouping. The model uses a combination of cooperative and competitive interactions to partition a set of input features into salient groups whose number is only restricted by the available layers. We give analytic results on convergence and the attractor states of the model and present simulation results showing grouping by proximity and grouping by symmetry and good continuation.

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Copyright information

© Springer-Verlag 1997

Authors and Affiliations

  • Heiko Wersing
    • 1
  • Jochen J. Steil
    • 1
  • Helge Ritter
    • 1
  1. 1.Faculty of Technology, Neuroinformatics GroupUniversity of BielefeldBielefeldGermany

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