38 citations · 64 across the 10 of their papers we have counts for
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cs.CV2020
Inferring Convolutional Neural Networks' accuracies from their architectural characterizations
Duc Hoang, Jesse Hamer, Gabriel N. Perdue +3
Convolutional Neural Networks (CNNs) have shown strong promise for analyzing scientific data from many domains including particle imaging detectors. However, the challenge of choos…
cs.CV2013★ 1 cited
Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in DeSTIN
Steven R. Young, Itamar Arel
This paper presents a basic enhancement to the DeSTIN deep learning architecture by replacing the explicitly calculated transition tables that are used to capture temporal features…