English

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 VV and a group GG of linear isometries, we construct a family of GG-invariant real-valued functions on VV that we call max filters. In the case where V=RdV=\mathbb{R}^d and GG is finite, a suitable max filter bank separates orbits, and is even bilipschitz in the quotient metric. In the case where V=L2(Rd)V=L^2(\mathbb{R}^d) and GG 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}
}
R2 v1 2026-06-24T11:31:04.354Z