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Application of the Karhunen-Loève Expansion to Feature Extraction and Classification

Keinosuke FukunagaWarren Lewis Gordon Koontz

出版	School of Electrical Engineering, Purdue University, 1969
URL	http://books.google.com.hk/books?id=xtfMtgAACAAJ&hl=&source=gbs_api

註釋

The Karhunen-Loeve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique. Also, it is shown that the properties of the proposed technique can be applied into two classes without a priori knowledge of the class. (Author).