Improved Linear Discrimination Using Time Frequency Dictionaries
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چکیده
We consider linear discriminant analysis in the setting where the objects signals images have many dimensions samples pixels and there are relatively few training samples We discuss ways that time frequency dictionaries can be used to adaptively select a small set of derived features which lead to improved misclassi cation rates
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تاریخ انتشار 1995