Practical Hash Functions for Similarity Estimation and Dimensionality Reduction

NeurIPS 2017 Søren DahlgaardMathias Bæk Tejs KnudsenMikkel Thorup

Hashing is a basic tool for dimensionality reduction employed in several aspects of machine learning. However, the perfomance analysis is often carried out under the abstract assumption that a truly random unit cost hash function is used, without concern for which concrete hash function is employed... (read more)

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