Articles with "linear metric" as a keyword



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Kernel-target alignment based non-linear metric learning

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.06.042

Abstract: Abstract Distance metric learning aims to learn a measure of the pairwise distance between data instances, which is essential for various machine learning algorithms and applications. However, existing linear metric learning methods based on linear… read more here.

Keywords: metric learning; linear metric; distance; kernel function ... See more keywords