Generalization bound for kernel similarity learning

Similarity learning has received a large amount of interest and is an important tool for many scientific and industrial applications. In this framework, we wish to infer the distance (similarity) between points with respect to an arbitrary distance function d.

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Michael Rabadi (2024). Dataset: Generalization bound for kernel similarity learning. https://doi.org/10.57702/r46iabje

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1610.03899
Author Michael Rabadi
Homepage https://arxiv.org/abs/1809.09441