On Euclidean Corrections for Non-Euclidean Dissimilarities

  title={On Euclidean Corrections for Non-Euclidean Dissimilarities},
  author={Robert P. W. Duin and Elzbieta Pekalska and Artsiom Harol and Wan-Jui Lee and Horst Bunke},
Non-Euclidean dissimilarity measures can be well suited for building representation spaces that are more beneficial for pattern classification systems than the related Euclidean ones [1,2]. A non-Euclidean representation space is however cumbersome for training classifiers, as many statistical techniques rely on the Euclidean inner product that is missing there. In this paper we report our findings on the applicability of corrections that transform a non-Euclidean representation space into a… CONTINUE READING

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