This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
TCP is an important protocol in high-performance computing. It is used extensively in graphics programs and file systems and it is often the protocol used for the cluster control...
Much work on the performance of Web proxy caching has focused on high-level metrics such as hit rates, but has ignored low-level details such as "cookies," aborted connec...
The efficiency of a communication network depends not only on its control protocols, but also on its topology. We propose a distributed topology management algorithm that construc...
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...