Learning-based epsilon most stringent test for Gaussian samples classification - researchr publication related

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Lionel Fillatre, Igor V. Nikiforov. Learning-based epsilon most stringent test for Gaussian samples classification. In 2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, June 25-30, 2017. pages 1366-1370, IEEE, 2017. [doi]

The following publications are possibly variants of this publication:

On the Epsilon Most Stringent Test Between Two Vector Lines in Gaussian NoiseLionel Fillatre. tsp, 62(19):5196-5207, 2014. [doi]

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