2 citations · 2 across the 3 of their papers we have counts for
6 papers
Brain Maturation Study during Adolescence Using Graph Laplacian Learning Based Fourier Transform
Junqi Wang, Li Xiao, Tony W. Wilson +3
Objective: Longitudinal neuroimaging studies have demonstrated that adolescence is the crucial developmental epoch of continued brain growth and change. A large number of researche…
Kernel Method for Detecting Higher Order Interactions in multi-view Data: An Application to Imaging, Genetics, and Epigenetics
Md. Ashad Alam, Hui-Yi Lin, Vince Calhoun +1
In this study, we tested the interaction effect of multimodal datasets using a novel method called the kernel method for detecting higher order interactions among biologically rele…
Influence Function and Robust Variant of Kernel Canonical Correlation Analysis
Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Many unsupervised kernel methods rely on the estimation of the kernel covariance operator (kernel CO) or kernel cross-covariance operator (kernel CCO). Both kernel CO and kernel CC…
Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis
Md ashad Alam, Osamu Komori, Yu-Ping Wang
In genome-wide interaction studies, to detect gene-gene interactions, most methods are divided into two folds: single nucleotide polymorphisms (SNP) based and gene-based methods. B…
Identifying Outliers using Influence Function of Multiple Kernel Canonical Correlation Analysis
Md Ashad Alam, Yu-Ping Wang
Imaging genetic research has essentially focused on discovering unique and co-association effects, but typically ignoring to identify outliers or atypical objects in genetic as wel…
Robust Kernel (Cross-) Covariance Operators in Reproducing Kernel Hilbert Space toward Kernel Methods
Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the unsupervised methods explicitly or implicitly depe…