Observable dictionary learning for high-dimensional statistical inference

17 Feb 2017Lionel MathelinKévin KasperHisham Abou-Kandil

This paper introduces a method for efficiently inferring a high-dimensional distributed quantity from a few observations. The quantity of interest (QoI) is approximated in a basis (dictionary) learned from a training set... (read more)

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