Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning

31 Dec 2018Mattia G. BergomiPatrizio FrosiniDaniela GiorgiNicola Quercioli

The aim of this paper is to provide a general mathematical framework for group equivariance in the machine learning context. The framework builds on a synergy between persistent homology and the theory of group actions... (read more)

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