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Creators/Authors contains: "Sercan Aygun, M. Hassan"

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  1. (, 2023 Design, Automation, and Test in Europe (DATE '23))
    Hyperdimensional computing (HDC) offers a singlepass learning system by imitating the brain-like signal structure. HDC data structure is in random hypervector format for better orthogonality. Similarly, in bit-stream processing – aka stochastic computing– systems, low-discrepancy (LD) sequences are used for the efficient generation of uncorrelated bit-streams. However, LD-based hypervector generation has never been investigated before. This work studies the utilization of LD Sobol sequences as a promising alternative for encoding hypervectors. The new encoding technique achieves highly-accurate classification with a single-time training step without needing to iterate repeatedly over random rounds. The accuracy evaluations in an embedded environment exhibit a classification rate improvement of up to 9.79% compared to the conventional random hypervector encoding. 
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    Accepted Manuscript Full Text Available