We analyze the performance of CPU-bound network servers and demonstrate experimentally that the degradation in the performance of these servers under highconcurrency workloads is ...
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
It is a challenge to recognize faces under variable poses or illumination directions. In the area of multiview face recognition, many experimental results have shown that the perfo...
Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Bin Luo, ...
This paper describes our experience with developing a product line for middleware-based versioning systems. We perform a detailed domain analysis and define a DSL for configuring i...