Stability of Graph Scattering Transforms

NeurIPS, pp. 8036-8046, 2019.

Cited by: 15|Bibtex|Views14|
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Keywords:
transfer learningsmall changes

Abstract:

Scattering transforms are non-trainable deep convolutional architectures that exploit the multi-scale resolution of a wavelet filter bank to obtain an appropriate representation of data. More importantly, they are proven invariant to translations, and stable to perturbations that are close to translations. This stability property provides...More

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