Colloquium: Dimensionality reduction via geometry processing
Speaker: Mathieu Desbrun，Carl F Braun Professor of Computing and Mathematical Sciences，California Institute of Technology
Time：14:00-15:30, August 12 Wednesday
Location：Room S408, IMS
Common and oft-observed assumption for high-dimensional datasets is that they sample (possibly with added noise) a low-dimensional manifold embedded in a high-dimensional space. In this situation, Non-linear Dimensional Reduction (NLDR) offers to find a low-dimensional embedding of the data (i.e., u...