3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Error estimate for a universal function approximator of ReLU network with a local connection
Jae-Mo Kang, Sunghwan Moon
Neural networks have shown high successful performance in a wide range of tasks, but further studies are needed to improve its performance. We analyze the approximation error of th…
math.NA2020★ 1 cited
The conical Radon transform with vertices on triple lines
Markus Haltmeier, Sunghwan Moon
We study the inversion of the conical Radon which integrates a function in three-dimensional space from integrals over circular cones. The conical Radon recently got significant at…
math.FA2015★ 3 cited
On the determination of a function from its cone transform with fixed central axis
Sunghwan Moon
A Radon-type transform called a cone transform that assigns to a given function its integral over various sets of cones has arisen in the last decade in the context of the study of…