This book provides an introduction to the mathematical and algorithmic foundations of data
science, including machine learning, high-dimensional geometry, and analysis of large …

We address the problem of removing undesirable reflections from a single image captured
through a glass surface, which is an ill-posed, challenging but practically important problem …

Heterogeneous information networks usually contain different kinds of nodes and
distinguishing types of relations, which can preserve more information than homogeneous …

This paper introduces a new graph-theoretical concept of hidden community for analysing
complex networks, which contain both stronger or dominant communities and weak …

In the age of Big Data, efficient algorithms are now in higher demand more than ever before.
While Big Data takes us into the asymptotic world envisioned by our pioneers, it also …

Computer science as an academic discipline began in the 1960's. Emphasis was on
programming languages, compilers, operating systems, and the mathematical theory that …

Much of the complexity of social, biological, and engineering systems arises from the
complicated interactions among the entities in the corresponding networks. A number of …

Network inference is used to model transcriptional, signaling, and metabolic interactions
among genes, proteins, and metabolites that identify biological pathways influencing …

Unwanted reflections commonly degrade the clarity of images taken via glass windows. The
elimination of that particular reflection is essential for enhancing image quality. Due to the …

Hidden community is a useful concept proposed recently for social network analysis. Hidden
communities indicate some weak communities whose most members also belong to other …