In this series of talks we will cover basic results related to high dimensional data and image and shape sciences. We start with one of the most basic questions that must be asked for high dimensional data: What is the distance between two points on the high dimensional manifold? We provide a framework to answer this. Then we go into the next basic question: Are these two sets of high dimensional data the same? We again provide a framework for this. We follow the thoughts that without answering the basic questions first, there is no hope for more complicated ones. We will also cover some other basic topics in image processing, such as video inpainting and video colorization.
Presentation (PowerPoint File)
Video of Talk (RealPlayer File)
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