We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
The Human Protein Atlas is a rich source of location proteomics data. In this work, we present an automated approach for processing and classifying major subcellular patterns in t...
Justin Newberg, Jieyue Li, Arvind Rao, Fredrik Pon...
The skeletal structures of solid objects play an important role in medical and industrial applications. Given a volumetrically sampled solid object, our method extracts a nice-loo...
The study of time dependent characteristics of proteins is important for gaining insight into many biological processes. However, visualizing protein dynamics by animating atom tr...
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...