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A sparse grid based method for generative dimensionality reduction of high-dimensional data
(2015-11)
Generative dimensionality reduction methods play an important role in machine learning applications because they construct an explicit mapping from a low-dimensional space to the high-dimensional data space. We discuss a ......



