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December 1, 2005Journal of Machine Learning Research

Learning a Mahalanobis Metric from Equivalence Constraints

Bar-HillelAharon HertzTomer ShentalNoam WeinshallDaphna

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Abstract

Many learning algorithms use a metric defined over the input space as a principal tool, and their performance critically depends on the quality of this metric. We address the problem of learning me...

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Cite This Study

Bar-HillelAharon et al. (2005) studied this question.

synapsesocial.com/papers/6a18d4538dcaf40f45cfd157 https://doi.org/10.5555/1046920.1088704

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