Proceedings of the 59th ACM/IEEE Design Automation Conference 2022
DOI: 10.1145/3489517.3530653
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Neural computation for robust and holographic face detection

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Cited by 8 publications
(1 citation statement)
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“…In work [58], the proposed method achieves one/few-shot learning on edge devices for the task of epileptic seizure detection. In addition, HDC has also shown significantly faster learning in classifying human faces [59], spam texts [60], texts [61], etc. More recently, researchers also proposed to incorporate uncertainty estimation into HDC-based regression via a customized HDC encoder that randomly drops dimensions [62].…”
Section: Brain-inspired Hdcmentioning
confidence: 99%
“…In work [58], the proposed method achieves one/few-shot learning on edge devices for the task of epileptic seizure detection. In addition, HDC has also shown significantly faster learning in classifying human faces [59], spam texts [60], texts [61], etc. More recently, researchers also proposed to incorporate uncertainty estimation into HDC-based regression via a customized HDC encoder that randomly drops dimensions [62].…”
Section: Brain-inspired Hdcmentioning
confidence: 99%