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...
We study the dynamic membership problem, one of the most fundamental data structure problems, in the cell probe model with an arbitrary cell size. We consider a cell probe model e...
An approach to managing the architecture of large software systems is presented. Dependencies are extracted from the code by a conventional static analysis, and shown in a tabular...
Neeraj Sangal, Ev Jordan, Vineet Sinha, Daniel Jac...
In this paper we present a complete point-based pipeline for the capture, display and illustration of very large scans of archeological artifacts. This approach was developed as p...
Florent Duguet, George Drettakis, Daniel Girardeau...
We investigate network management information for light-path assessment to dynamically set up end-to-end lightpaths across administrative domains. Our focus is on invetigating what...