Abstract
A variety of technologies developed in diverse areas such as medical imaging, industrial inspection, and oil and gas have a common set of underlying goals and challenges. Many of these problems lend themselves to statistical methods that entail estimation, learning, or regression. This talk motivates these ideas from some very traditional problems in image processing and then develops the concepts of nonparametric modeling with applications to data analysis and visualization more generally. Applications will be presented for images from a variety of different sources as well as other high-dimensional data sets from simulation, demographics, and industrial processes.



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