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Robust Template Design

  • Martin Hänggi
  • George S. Moschytz
Chapter

Abstract

The problem of template design or template learning is a key topic in CNN research; the methods which have been investigated since the inception of the CNN may be classified as analytical methods [17–20], local learning algorithms [21–23], and global learning algorithms [24,25]. The analytical approaches are based upon a set of local rules (see 2.6) characterizing the dynamics of a cell, depending on its neighboring cells. These rules are transformed into an affine set of inequalities that has to be solved to get correctly operating templates.

Keywords

VLSI Implementation Analog VLSI Template Parameter Relative Robustness Positive Linear Combination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Martin Hänggi
    • 1
  • George S. Moschytz
  1. 1.Swiss Federal Institute of TechnologyZurichSwitzerland

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