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This chapter presents a robust face recognition technique which is based on the extraction of Scale Invariant Feature Transform (SIFT) features from the face areas. It uses both a global and local matching strategy. The local strategy is based on matching individual salient facial SIFT features as connected to facial landmarks such as the eyes and the mouth. As for the global matching strategy, all...
The CancerGrid consortium is developing open-standards cancer informatics to address the challenges posed by modern cancer clinical trials. This chapter presents a framework for the metamodel-driven development of Open Grid Services Architecture (OGSA)-based Service-Oriented Architecture (SOA) for collaborative cancer research. We extend the existing Z model and the generation technology to support...
This chapter mainly introduces our understanding and practice of e-Science in the Chinese Academy of Sciences. We present the current situation of the information infrastructure from five aspects including digital network and communication infrastructure, high performance computing environment, scientific data environment, digital library, and virtual laboratory. In terms of e-Science applications,...
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