Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation

Computer Science – Numerical Analysis

Scientific paper

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11 pages

Scientific paper

We propose alternative discriminant measures for selecting the best basis
among a large collection of orthonormal bases for classification purposes. A
generalization of the Local Discriminant Basis Algorithm of Saito and Coifman
is constructed. The success of these new methods is evaluated and compared to
earlier methods in experiments.

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