Testing for Homogeneity with Kernel Fisher Discriminant Analysis

Details Testing for Homogeneity with Kernel Fisher Discriminant Analysis Testing for Homogeneity with Kernel Fisher Discriminant Analysis

2008-04-07

arxiv.org/abs/0804.1026v1

Statistics

Machine Learning

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Testing for Homogeneity with Kernel Fisher Discriminant Analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Testing for Homogeneity with Kernel Fisher Discriminant Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Testing for Homogeneity with Kernel Fisher Discriminant Analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-729908