Some New Methods to Build Group Equivariant Non-expansive Operators in TDA
نویسندگان
چکیده
Group equivariant operators are playing a more and relevant role in machine learning topological data analysis. In this paper, we present some new results concerning the construction of G-equivariant non-expansive (GENEOs) from space \(\Phi \) real-valued bounded continuous functions on X to itself. The represents our set data, while G is subgroup group all self-homeomorphisms X, representing invariance interested in.
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ژورنال
عنوان ژورنال: Springer proceedings in mathematics & statistics
سال: 2021
ISSN: ['2194-1009', '2194-1017']
DOI: https://doi.org/10.1007/978-981-16-0174-3_19