图 书 馆开课单位--魏尔斯特拉斯应用分析与随机研究所
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1Approximation of Random Fields in High Dimension[在高维随机域近似]
Nora Serdyukova(魏尔斯特拉斯应用分析与随机研究所) We consider the ε-approximation by n-term partial sums of the Karhunen- Lo`eve expansion to d-parametric random fields of tensor product-type ...
热度：47
Nora Serdyukova(魏尔斯特拉斯应用分析与随机研究所) We consider the ε-approximation by n-term partial sums of the Karhunen- Lo`eve expansion to d-parametric random fields of tensor product-type ...
热度：47
2Structural adaptive smoothing: Images, fMRI and DWI[结构自适应平滑：图像，功能磁共振成像和弥散加权成像]
Jörg Polzehl(魏尔斯特拉斯应用分析与随机研究所) The talk presents a class of structural adaptive smoothing methods developed at WIAS. The main focus will be on the Propagation-Separation (PS) approa...
热度：45
Jörg Polzehl(魏尔斯特拉斯应用分析与随机研究所) The talk presents a class of structural adaptive smoothing methods developed at WIAS. The main focus will be on the Propagation-Separation (PS) approa...
热度：45
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