Background/foreground separation is the first step in video surveillance system to detect
moving objects. Recent research on problem formulations based on decomposition into low …

Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

Defining cell types requires integrating diverse single-cell measurements from multiple
experiments and biological contexts. To flexibly model single-cell datasets, we developed …

With the growth of online social network platforms and applications, large amounts of textual
user-generated content are created daily in the form of comments, reviews, and short-text …

Abstract Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells.
Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using …

Meisner and Albrechtsen present two methods for inferring population structure and
admixture proportions in low depth next-generation sequencing (NGS). NGS methods …

Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …

This article presents a powerful algorithmic framework for big data optimization, called the
block successive upper-bound minimization (BSUM). The BSUM includes as special cases …

Principal components analysis (PCA) is a well-known technique for approximating a tabular
data set by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets …

Single-cell genomic technologies provide an unprecedented opportunity to define molecular
cell types in a data-driven fashion, but present unique data integration challenges. Many …