Moritz Gschwandtner

Learn More
Sparse statistical methods lead to parameter estimates that contain exact zeros. This has advantages especially in the analysis of high-dimensional data, because the contribution of single variables—potential noise variables—is set to zero. We review recent proposals for sparse methods in the context of regression and classification, and compare the(More)
We introduce a novel open-source framework for analyzing and exploring point cloud datasets and algorithms. This is done by integrating the Point Cloud Library (PCL) within ParaView, a parallel scientific visualization tool. In particular, we demonstrate that by wrapping PCL algorithms as VTK<sup>1</sup> filters, we can leverage PCL's functionality in an(More)
  • 1