Group-invariant max filtering
Information Theory
2022-05-30 v1 Data Structures and Algorithms
Machine Learning
Functional Analysis
math.IT
Abstract
Given a real inner product space and a group of linear isometries, we construct a family of -invariant real-valued functions on that we call max filters. In the case where and is finite, a suitable max filter bank separates orbits, and is even bilipschitz in the quotient metric. In the case where and is the group of translation operators, a max filter exhibits stability to diffeomorphic distortion like that of the scattering transform introduced by Mallat. We establish that max filters are well suited for various classification tasks, both in theory and in practice.
Keywords
Cite
@article{arxiv.2205.14039,
title = {Group-invariant max filtering},
author = {Jameson Cahill and Joseph W. Iverson and Dustin G. Mixon and Daniel Packer},
journal= {arXiv preprint arXiv:2205.14039},
year = {2022}
}