no code implementations • 10 Feb 2019 • 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.
no code implementations • 22 May 2021 • Jieqian He, Matthew Hirn
We provide a new model for texture synthesis based on a multiscale, multilayer feature extractor.
no code implementations • 10 Oct 2021 • Michael Perlmutter, Jieqian He, Mark Iwen, Matthew Hirn
We also show that the Gabor measurements used in the second layer can be used to synthesize sparse signals such as those produced by the first layer.