An Exploration of Linear Classifiers for Unsupervised Spiking Neural Networks with Event-Driven Data
Object recognition in video has seen giant strides in accuracy improvements in the last few years, a testament to the computational capacity of deep convolutional neural networks. However, this computational capacity of software-based neural networks coincides with high power consumption compared to...
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| Format: | Others |
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PDXScholar
2018
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| Online Access: | https://pdxscholar.library.pdx.edu/open_access_etds/4439 https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=5510&context=open_access_etds |