This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
This paper addresses the problem of real-time 3D modelbased tracking by combining point-based and edge-based tracking systems. We present a careful analysis of the properties of t...
Despite Java’s initial promise of providing a reliable and cost-effective platform-independent environment, the language appears to be unfavourable in the area of high-integrity...
Erik Yu-Shing Hu, Andy J. Wellings, Guillem Bernat
High performance processors use checkpointing to rapidly recover from branch mispredictions and possibly other exceptions. We demonstrate that conventional checkpointing becomes u...