1 citations · 1 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.AP2015
A Radon-type transform arising in Photoacoustic Tomography with circular detectors: spherical geometry
Yulia Hristova, Sunghwan Moon, Dustin Steinhauer
This paper is devoted to a Radon-type transform arising in a version of Photoacoustic Tomography that uses integrating circular detectors. We show that the transform can be decompo…