Rodent self-grooming is an important complex behavior, and its deficits are translationally
relevant to a wide range of neuropsychiatric disorders. Here, we analyzed a comprehensive …

Nonsmooth composite optimization with orthogonality constraints has a broad spectrum of
applications in statistical learning and data science. However, this problem is generally …

We consider a class of structured, nonconvex, nonsmooth optimization problems under
orthogonality constraints, where the objectives combine a smooth function, a nonsmooth …

Generalized eigenvalue problems (GEPs) find applications in various fields of science and
engineering. For example, principal component analysis, Fisher's discriminant analysis, and …

Uncovering the complex network of the brain is of great interest to the field of neuroimaging.
Mining from these rich datasets, scientists try to unveil the fundamental biological …

In recent years, brain network analysis has attracted considerable interests in the field of
neuroimaging analysis. It plays a vital role in understanding biologically fundamental …

There is a great deal of interest in using large scale brain imaging studies to understand
how brain connectivity evolves over time for an individual and how it varies over different …

Statistical models such as linear regression drive numerous applications in computer vision
and machine learning. The landscape of practical deployments of these formulations is …

In this paper, four types of generalized quasi-eigenvector problems in the setting of normed
linear spaces are introduced. Some existence results on the solutions of the generalized …

A recently proposed space-time model for Rayleigh fading for a multiple-input multiple-
output (MIMO) channel with arbitrary spatial separation at the transmitter and the receiver is …