Compressive Classification (Machine Learning without learning)

Publication
ITWIST'18

Abstract: Compressive learning is a framework where (so far unsupervised) learning tasks use not the entire dataset but a compressed summary (sketch) of it. We propose a compressive learning classification method, and a novel sketch function for images.

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