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Generalized Survivable Networks (GSNs) have two interesting properties that are essential attributes for the future backbone networks – full survivability against link failures and support for dynamic traffic demands. GSN incorporates the non-blocking network concept into the survivable network models. Given a set of nodes and a topology that is at least(More)
This paper reviews model based methods for non rigid shape analysis and recognition These methods model match and classify non rigid shapes which are generally problematic for conventional algorithms using rigid models Issues including deformable model represen tation optimization criteria formulation model matching and classi cation are examined in detail(More)
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