Due to increasing clock speeds and shrinking technologies, distributing a single global clock signal throughout a chip is becoming a difficult and challenging proposition. In this...
The query performance for tracing tags depends upon the distribution of tag trajectories in the data space. We examine a more efficient representation of tag trajectories by means ...
Abstract. Autonomous scheduling deals with the problem - how to enable agents to schedule a set of interdependent tasks in such a way that whatever schedule they choose for their t...
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...