Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
The performance of a concurrent multithreaded architectural model, called superthreading 15 , is studied in this paper. It tries to integrate optimizing compilation techniques and...
Jenn-Yuan Tsai, Zhenzhen Jiang, Eric Ness, Pen-Chu...
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
Point-sampled geometry has gained significant interest due to their simplicity. The lack of connectivity touted as a plus, however, creates difficulties in many operations like ge...