Learning of low-dimensional geometric structure in high-dimensional data Professor David Dunson Arts and Sciences Distinguished Professor of Statistical Science, Mathematics and Electrical & Computer Engineering Duke University ABSTRACT: High-dimensional data are collected in an amazing variety of application areas. As the sample size is often modest relative to the dimension of the data, dimensionality reduction is needed. For example, PCA …
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