Robust Template Design

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.