The use of group equivariant operators is becoming more and more important in machine learning and topological data analysis. In this paper we introduce a new method to build G-equivariant non-expansive operators from a set ϕ of bounded and continuous functions (Formula Presented) itself, where X is a topological space and G is a subgroup of the group of all self-homeomorphisms of X.
On a new method to build group equivariant operators by means of permutants
Frosini, Patrizio;
2018-01-01
Abstract
The use of group equivariant operators is becoming more and more important in machine learning and topological data analysis. In this paper we introduce a new method to build G-equivariant non-expansive operators from a set ϕ of bounded and continuous functions (Formula Presented) itself, where X is a topological space and G is a subgroup of the group of all self-homeomorphisms of X.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
