Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
Numerical Analysis
2025-10-20 v1 Numerical Analysis
Abstract
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.
Cite
@article{arxiv.cs/9907005,
title = {Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation},
author = {Eirik Fossgaard},
journal= {arXiv preprint arXiv:cs/9907005},
year = {2025}
}
Comments
11 pages