The increasing performance gap between processors and memory will force future architectures to devote significant resources towards removing and hiding memory latency. The two ma...
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
The use of feedback control techniques has been gaining importance in real-time scheduling as a means to provide predictable performance in the face of uncertain workload. In this ...
Abstract-- Packet sampling is commonly deployed in highspeed backbone routers to minimize resources used for network monitoring. It is known that packet sampling distorts traffic s...
Jianning Mai, Ashwin Sridharan, Chen-Nee Chuah, Hu...