In this paper, we present a computational scene model and also derive novel algorithms for computing audio and visual scenes and within-scene structures in films. We use constraint...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Aspect-oriented software presents new challenges for the designers of static analyses. Our work aims to establish systematic foundations for dataflow analysis of AspectJ software....
The performance of system-on-chip is determined not only by the performance of its functional units, but also by how efficiently they cooperate with one another. It is the on-chip...