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Spenrath et al., 2022 - Google Patents

BitBooster: Effective Approximation of Distance Metrics via Binary Operations

Spenrath et al., 2022

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Document ID
12540160240578382944
Author
Spenrath Y
Hassani M
Van Dongen B
Publication year
Publication venue
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)

External Links

Snippet

The Euclidean distance is one of the most commonly used distance metrics. Several approximations have been pro-posed in the literature to reduce the complexity of this metric for high-dimensional or large datasets. In this paper, we propose BitBooster, an …
Continue reading at research.tue.nl (PDF) (other versions)

Classifications

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