Jan 26, 2023 · Abstract:Hyperdimensional computing (HDC) is a method to perform classification that uses binary vectors with high dimensions and the ...
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Feb 1, 2023 · This paper proposes a suite of novel techniques that reduce the hypervector dimension significantly while maintaining state-of-art accuracies and efficiency.
Sep 18, 2023 · Hyperdimensional computing (HDC) is a method to perform classification that uses binary vectors with high dimensions and the majority rule.
Sep 17, 2023 · Hyperdimensional computing (HDC) is a method to perform classification that uses binary vectors with high dimensions and the majority rule.
Hyperdimensional (HD) computing is a mathematical framework, inspired by neuroscience, which can be used to represent many machine learning (ML) problems.
Nov 29, 2023 · Hyperdimensional Computing (HDC) is an emerging, brain-inspired machine learning technique that enjoys several advantages over existing DNNs, ...
Aug 19, 2024 · Hyperdimensional (HD) computing (also referred to as vector symbolic architectures, VSAs) offers a method for encoding symbols into vectors, ...
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Jul 26, 2022 · We present EventHD, an end-to-end learning framework based on HDC for robust, efficient learning from neuromorphic sensors.
Jun 2, 2023 · In this paper, we propose TrainableHD, a framework for HDC that utilizes a dynamic encoder with effective quantization for higher efficiency.
In this paper, we propose tiny-HD, a light-weight dedicated HD platform that targets low power, high energy efficiency, and low latency, while being config-.