This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
We present a hair model together with rendering algorithms suitable for real-time rendering. In our approach, we take into account the major lighting factors contributing to a rea...
Managed runtime systems, such as a Java virtual machine (JVM), are complex pieces of software with many interacting components. The Just-In-Time (JIT) compiler is at the core of t...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...