1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2021
Lévy Adaptive B-spline Regression via Overcomplete Systems
Sewon Park, Hee-Seok Oh, Jaeyong Lee
The estimation of functions with varying degrees of smoothness is a challenging problem in the nonparametric function estimation. In this paper, we propose the LABS (Lévy Adaptive…
stat.ME2020
Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
Wookyeong Song, Hee-Seok Oh, Yaeji Lim +1
This paper presents a new statistical method for clustering step data, a popular form of health record data easily obtained from wearable devices. Since step data are high-dimensio…
eess.SP2019★ 1 cited
Ensemble Patch Transformation: A New Tool for Signal Decomposition
Donghoh Kim, Guebin Choi, Hee-Seok Oh
This paper considers the problem of signal decomposition and data visualization. For this purpose, we introduce a new multiscale transform, termed `ensemble patch transformation' t…