1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2013
Detection of Gene-Gene Interactions by Multistage Sparse and Low-Rank Regression
Hung Hung, Yu-Tin Lin, Pengwen Chen +3
A daunting challenge faced by modern biological sciences is finding an efficient and computationally feasible approach to deal with the curse of high dimensionality. The problem be…
stat.ME2012★ 1 cited
Robust Independent Component Analysis via Minimum Divergence Estimation
Peng-Wen Chen, Hung Hung, Osamu Komori +2
Independent component analysis (ICA) has been shown to be useful in many applications. However, most ICA methods are sensitive to data contamination and outliers. In this article w…
math.ST2011★ 1 cited
On Multilinear Principal Component Analysis of Order-Two Tensors
Hung Hung, Pei-Shien Wu, I-Ping Tu +1
Principal Component Analysis (PCA) is a commonly used tool for dimension reduction in analyzing high dimensional data; Multilinear Principal Component Analysis (MPCA) has the poten…