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Improved CFC Algorithm for Template Decomposition with Guaranteed Robustness

Authors :
Jer-Guang Hsieh
Yih-Lon Lin
Jyh-Horng Jeng
Wei-Chih Teng
Source :
2005 9th International Workshop on Cellular Neural Networks and Their Applications.
Publication Year :
2005
Publisher :
IEEE, 2005.

Abstract

In this paper, an improved version of CFC algorithm is proposed. The main contribution is the reduction of a dimension in the search space. Moreover, the elements in the reduced search space are entries of control templates of uncoupled CNNs and the corresponding linearly separable Boolean functions are robust in the sense of maximal geometric margin. Illustrative examples demonstrate the efficiency of the proposed method.

Details

Database :
OpenAIRE
Journal :
2005 9th International Workshop on Cellular Neural Networks and Their Applications
Accession number :
edsair.doi...........c6efb362e0ebcba766d34330de4bae02