Collective behavior involving distally separate regions in a protein is known to widely affect its function. In this paper, we present an online approach to study and characterize ...
Arvind Ramanathan, Pratul K. Agarwal, Maria Kurnik...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Fusion is a web-based system that enables end-users to rapidly and dynamically construct personalized visualization workspaces without programming. Users first use advanced data s...
Chris North, Nathan Conklin, Kiran Indukuri, Varun...
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...