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ICPR
2004
IEEE

Linear Discriminant Analysis and Discriminative Log-linear Modeling

9 years 4 months ago
Linear Discriminant Analysis and Discriminative Log-linear Modeling
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave the distributions resulting from the loglinear model unchanged, we derive a discriminative linear feature reduction technique from the maximum entropy approach and compare it to the well-known linear discriminant analysis. From experiments on different corpora we observe that the new technique performs better than linear discriminant analysis if the dimensionality of the feature space is large with respect to the number of classes.
Daniel Keysers, Hermann Ney
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Daniel Keysers, Hermann Ney
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