When heterogeneous congestion control protocols that react to different pricing signals share the same network, the current theory based on utility maximization fails to predict th...
This paper presents an automatic method to customize embedded application-specific instruction processors (ASIPs) based on compiler analysis. ASIPs, also known as embedded soft c...
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
We present practical parallel algorithms using prefix computations for various problems that arise in pairwise comparison of biological sequences. We consider both constant and af...