Stitching persistence images computed by topological data analysis into CNN inputs improves noisy-MNIST accuracy for small training sets, e.g., from 26% to 69% at 100 clean training images.
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Preserving Information: How does Topological Data Analysis improve Neural Network performance?
Stitching persistence images computed by topological data analysis into CNN inputs improves noisy-MNIST accuracy for small training sets, e.g., from 26% to 69% at 100 clean training images.