PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Testing for Homogeneity with Kernel Fisher Discriminant Analysis
Zaid Harchaoui, Francis Bach and Eric Moulines
In: NIPS 2007, December 2007, Vancouver, Canada.

Abstract

We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distribution under null hypothesis is derived, and consistency against fixed alternatives is assessed. Finally, experimental evidence of the performance of the proposed approach on artificial data and on a speaker verification task is provided.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:3776
Deposited By:Francis Bach
Deposited On:21 February 2008