Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-bas...
In recent times information flow and non-interference have become very popular concepts for expressing both integrity and privacy properties. We present the first general definitio...
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...