1 citations · 1 across the 4 of their papers we have counts for
4 papers
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization
Naoki Saito, David Weber
We propose a new method to extract discriminant and explainable features from a particular machine learning model, i.e., a combination of the scattering transform and the multiclas…
The Scattering Transform Network with Generalized Morse Wavelets and Its Application to Music Genre Classification
Wai Ho Chak, Naoki Saito, David Weber
We propose to use the Generalized Morse Wavelets (GMWs) instead of commonly-used Morlet (or Gabor) wavelets in the Scattering Transform Network (STN), which we call the GMW-STN, fo…
Underwater object classification using scattering transform of sonar signals
Naoki Saito, David S. Weber
In this paper, we apply the scattering transform (ST), a nonlinear map based off of a convolutional neural network (CNN), to classification of underwater objects using sonar signal…
Existence and non-existence of transition fronts in mixed ignition-monostable media
Cole Graham, Tau Shean Lim, Andrew Ma +1
We study transition fronts for one-dimensional reaction-diffusion equations with compactly perturbed ignition-monostable reactions. We establish an almost sharp condition on reacti…