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The chain-rule processor: optimal classification through signal processing

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1 Author(s)
P. M. Baggenstoss ; Naval Undersea Warfare Center, Newport, RI, USA

The chain-rule processor is a method of constructing an optimal Bayes classifier from a bank of processors. Each processor is a feature extractor designed to separate the given class from a class-dependent reference hypothesis, thereby avoiding the curse of dimensionality. This work builds upon prior work in optimal classifier design using class-specific features. The chain-rule processor is an improvement that recursively applies the PDF projection theorem.

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Pattern Recognition, 2002. Proceedings. 16th International Conference on  (Volume:1 )

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