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27

NIPS
2007

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Testing for Homogeneity with Kernel Fisher Discriminant Analysis

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Testing for Homogeneity with Kernel Fisher Discriminant Analysis

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We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, and consistency against ﬁxed alternatives is assessed. Finally, experimental evidence of the performance of the proposed approach on both artiﬁcial and real datasets is provided.

Zaïd Harchaoui, Francis Bach, Eric Moulines

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Asymptotic Null Distributions | Fisher Discriminant Analysis | Information Technology | NIPS 2007 | Null Hypothesis |

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2007
Where	NIPS
Authors	Zaïd Harchaoui, Francis Bach, Eric Moulines

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