Testing for Homogeneity with Kernel Fisher Discriminant Analysis

Date
Authors
Harchaoui, Zaid
Bach, Francis
Moulines, Eric
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
We propose to investigate test statistics for testing homogeneity in reproducing kernel Hilbert spaces. Asymptotic null distributions under null hypothesis are derived, and consistency against fixed and local alternatives is assessed. Finally, experimental evidence of the performance of the proposed approach on both artificial data and a speaker verification task is provided.
Keywords
Statistics - Machine Learning
Citation
Collections