Life with Fisher

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Clustering with the Fisher Score

Recently the Fisher score (or the Fisher kernel) is increasingly used as a feature extractor for classification problems. The Fisher score is a vector of parameter derivatives of loglikelihood of a probabilistic model. This paper gives a theoretical analysis about how class information is preserved in the space of the Fisher score, which turns out that the Fisher score consists of a few importa...

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ژورنال

عنوان ژورنال: Nature

سال: 1979

ISSN: 0028-0836,1476-4687

DOI: 10.1038/278784a0