Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
Previous studies have proposed techniques to dynamically change the architecture of a processor to better suit the characteristics of the workload at hand. However, all such appro...
Analytical modeling is an alternative to detailed performance simulation with the potential to shorten the development cycle and provide additional insights. This paper proposes a...
Interconnection plays an important role in performance and power of CMP designs using deep sub-micron technology. The network-on-chip (NoCs) has been proposed as a scalable and hi...
Bo Zhao, Jun Yang 0002, Xiuyi Zhou, Yi Xu, Youtao ...