Rapid and Brief Communication A reformative kernel Fisher discriminant analysis
نویسندگان
چکیده
A reformative kernel Fisher discriminant method is proposed, which is directly derived from the naive kernel Fisher discriminant analysis with superiority in classi1cation e2ciency. In the novel method only a part of training patterns, called “signi1cant nodes”, are necessary to be adopted in classifying one test pattern. A recursive algorithm for selecting “signi1cant nodes”, which is the key of the novel method, is presented in detail. The experiment on benchmarks shows that the novel method is e8ective and much e2cient in classifying. ? 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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تاریخ انتشار 2004