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Jul, 2019
使用自适应选择阈值的事件驱动特征提取
Event-based Feature Extraction Using Adaptive Selection Thresholds
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Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
TL;DR
本文提出了一种针对神经形态硬件性能要求的无人监督特征提取算法,该算法运行简单并通过自适应选择阈值来产生有用的中间信号,以实现网络体态平衡和快速优化系统参数,而不需要后端分类器的运行。
Abstract
unsupervised feature extraction
algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the
event-based domain
to perform online learning in
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