464 citations · 514 across the 16 of their papers we have counts for
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cs.NE2019
Event-based Feature Extraction Using Adaptive Selection Thresholds
Saeed Afshar, Ying Xu, Jonathan Tapson +2
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…
cs.LG2019
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems
Mark D. McDonnell, Hesham Mostafa, Runchun Wang +1
Batch-normalization (BN) layers are thought to be an integrally important layer type in today's state-of-the-art deep convolutional neural networks for computer vision tasks such a…