A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks

DOI10.1016/j.jspi.2024.106184zbMath1547.68689MaRDI QIDQ6592797

Masahiro Ikeda, Sho Sonoda, Isao Ishikawa

Publication date: 26 August 2024

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

neural networkFourier slice theoremnoncompact symmetric spacegroup convolution\(d\)-plane ridgelet transform

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Artificial neural networks and deep learning (68T07) Harmonic analysis on homogeneous spaces (43A85)

This page was built for publication: A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks