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stat.ML2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning
Kevin Miller, Jeff Calder
We show that uncertainty sampling is sufficient to achieve exploration versus exploitation in graph-based active learning, as long as the measure of uncertainty properly aligns wit…
cs.LG2022★ 1 cited
Graph-based Active Learning for Semi-supervised Classification of SAR Data
Kevin Miller, John Mauro, Jason Setiadi +4
We present a novel method for classification of Synthetic Aperture Radar (SAR) data by combining ideas from graph-based learning and neural network methods within an active learnin…