We present an architecture that features dynamic multithreading execution of a single program. Threads are created automatically by hardware at procedure and loop boundaries and e...
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
This article proposes a research agenda aimed at enabling optimized testing and analysis processes and tools to support component-based software development communities. We hypoth...
1 Example-based super-resolution recovers missing high frequencies in a magnified image by learning the correspondence between co-occurrence examples at two different resolution le...