Special Session 62: Group invariant machine learning

Injectivity, stability, and positive definiteness of max filtering

Yousef Qaddura
The Ohio State University
USA
Co-Author(s):    Dustin G. Mixon
Abstract:
Given a real inner product space $V$ and a group $G$ of linear isometries, max filtering offers a rich class of $G$-invariant maps. In this paper, we identify nearly sharp conditions under which these maps injectively embed the orbit space $V/G$ into Euclidean space, and when $G$ is finite, we estimate the map`s distortion of the quotient metric. We also characterize when max filtering is a positive definite kernel.