This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
We consider a communication network with fixed routing that can accommodate multiple service classes, differing in bandwidth requirements, demand pattern, call duration, and routin...
In this paper we present an initial analysis of job failures in a large-scale data-intensive Grid. Based on three representative periods in production, we characterize the interar...
Hui Li, David L. Groep, Lex Wolters, Jeffrey Templ...
We introduce virtually-pipelined memory, an architectural technique that efficiently supports high-bandwidth, uniform latency memory accesses, and high-confidence throughput eve...
Design simplification is becoming necessary to respect the target time-to-market of SoCs, and this goal can be obtained by using predesigned IP-cores. However, their correct inte...