Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
f abstraction as applicable to break the problem's complexity, and innovating better techniques to address complexity of new microarchitectural features. Validation techniques...
Abstract. SKaMPI is a benchmark for MPI implementations. Its purpose is the detailed analysis of the runtime of individual MPI operations and comparison of these for di erent imple...
Ralf Reussner, Peter Sanders, Lutz Prechelt, Matth...
This paper presents Swift, a packet filter for high performance packet capture on commercial off-the-shelf hardware. The key features of Swift include (1) extremely low filter upd...
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...