We combine two iterative algorithms for solving large-scale systems of linear inequalities:
the relaxation method of Agmon, Motzkin, et al. and the randomized Kaczmarz method. We …

In this paper we propose a novel framework to process Doppler-radar signals for hand
gesture recognition. Doppler-radar sensors provide many advantages over other emerging …

Optical coherence tomography (OCT) is an imaging tool that has been widely utilized for
various disease diagnoses for its noninvasive and high-resolution properties. Due to the …

Continuous affect estimation from facial expressions has attracted increased attention in the
affective computing research community. This paper presents a principled framework for …

The Randomized Gauss-Seidel Method (RGS) is an iterative algorithm that solves large-
scale systems of linear equations Ax= b. This paper studies a block version of the RGS …

Iterative methods are commonly used for solving large, sparse systems of linear equations
on parallel computers. Implementations of parallel iterative solvers contain kernels (eg …

In this paper we propose a novel framework to process Doppler-radar signals for hand
gesture recognition. Doppler-radar sensors provide many advantages over other emerging …

We construct a preconditioner for solving the linear least square problems, which are
simplest and most popular arising in data fitting, imaging processing and high dimension …

This thesis studies projection algorithms in optimization which have frequent applications in
data science (eg, image processing). Contributions in this thesis include proposing and …