Abstract
Sensing, feature extraction, optimum decision, parameter estimation, adaptation and learning are the major problems in the design of pattern recognition systems. This paper discusses the selection of mathematical features on the basis of entropy minimization and introduces the concept of extracting statistical features by the method of kernel approximation.
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