3 papers
eess.SP2021
A Hybrid Scattering Transform for Signals with Isolated Singularities
Michael Perlmutter, Jieqian He, Mark Iwen +1
The scattering transform is a wavelet-based model of Convolutional Neural Networks originally introduced by S. Mallat. Mallat's analysis shows that this network has desirable stabi…
cs.CV2021
Texture synthesis via projection onto multiscale, multilayer statistics
Jieqian He, Matthew Hirn
We provide a new model for texture synthesis based on a multiscale, multilayer feature extractor. Within the model, textures are represented by a set of statistics computed from Re…
math.ST2019
Scattering Statistics of Generalized Spatial Poisson Point Processes
Michael Perlmutter, Jieqian He, Matthew Hirn
We present a machine learning model for the analysis of randomly generated discrete signals, modeled as the points of an inhomogeneous, compound Poisson point process. Like the wav…