Tracking of the lung tumor movement in fluoroscopic video sequences is clinically significant and challenging problem due to the blurred appearance, sternum occlusion, and compl...
Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Leig...
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Abstract— Performance of proxy caches for database federations that serve a large number of users is crucially dependent on its physical design. Current techniques, automated or ...
Tanu Malik, Xiaodan Wang, Randal C. Burns, Debabra...
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...