Feature Selection for Improved Classiication 2 F Eature Selection
نویسنده
چکیده
We apply the feature selection technique of Fukunaga and Koontz an extension of the Karhunen Lo eve transformation to spoken letter recognition Feedforward networks trained for letter pair discrimination with the new features show up to reduction in classi er error rate relative to networks trained with spectral coe cients This performance increase is accompanyed by a reduction in feature dimension For three letter discrimination the new features perform comparably to spectral coe cients with a reduction in feature dimension
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تاریخ انتشار 1992