Margin-Based Training of HDC Classifiers

The explicit kernel transformation of input data vectors to their distributed high-dimensional representations has recently been receiving increasing attention in the field of hyperdimensional computing (HDC). The main argument is that such representations endow simpler last-leg classification model...

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Bibliographic Details
Published in:Big Data and Cognitive Computing
Main Authors: Laura Smets, Dmitri Rachkovskij, Evgeny Osipov, Werner Van Leekwijck, Olexander Volkov, Steven Latré
Format: Article
Language:English
Published: MDPI AG 2025-03-01
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Online Access:https://www.mdpi.com/2504-2289/9/3/68