Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …

In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

Weakly supervised semantic instance segmentation with only image-level supervision,
instead of relying on expensive pixel-wise masks or bounding box annotations, is an …

The goal of this textbook is twofold. First, the book serves as an introduction to the field of
parameterized algorithms and complexity accessible to graduate students and advanced …

Tracking new topics, ideas, and" memes" across the Web has been an issue of considerable
interest. Recent work has developed methods for tracking topic shifts over long time scales …

Functional annotation of proteins is a fundamental problem in the post‐genomic era. The
recent availability of protein interaction networks for many model species has spurred on the …

The α-expansion algorithm has had a significant impact in computer vision due to its
generality, effectiveness, and speed. It is commonly used to minimize energies that involve …

In a traditional classification problem, we wish to assign one of k labels (or classes) to each
of n objects, in a way that is consistent with some observed data that we have about the …

We propose frameworks and algorithms for identifying communities in social networks that
change over time. Communities are intuitively characterized as" unusually densely knit" …

We consider the following general correlation-clustering problem [N. Bansal, A. Blum, S.
Chawla, Correlation clustering, in: Proc. 43rd Annu. IEEE Symp. on Foundations of …