开课单位--魏尔斯特拉斯应用分析与随机研究所
1 1/1

1
Approximation 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:41

2
Structural 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:36
1 1/1