Titlebook: Stochastic Linear Programming; Models, Theory, and Peter Kall,János Mayer Book 20051st edition Springer-Verlag US 2005 algorithm.algorithm

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Book 20051st editione area of stochastic optimization. .Stochastic Linear Programming: Models, Theory, and Computation. is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these met

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Book 20051st edition programming. Numerous papers and conference volumes, and several monographs have been published in the area; however, the Kall and Mayer book will be particularly useful in presenting solution methods including their solid theoretical basis and their computational issues, based in many cases on imp

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truction. In contrast to conventional setups, these fully-automatic approaches only use low-cost monocular video cameras to effectively fuse information from multiple points in time and realistically complete reconstructions from sparse observations. We address both straight-forward and sophisticate

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e used to track rigid and non-rigid objects, in order to drive the motion of computer generated 3D models. We then consider two neural network based tracking solutions and explain how these can be used for transporting real objects into virtual environments.

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