Testing for Homogeneity with Kernel Fisher Discriminant Analysis
  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. 
Zaid Harchaoui (LTCI), Francis Bach (INRIA Rocquencourt), Eric   Moulines (LTCI)