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• W3005193773 abstract "We discuss the problem of performing similarity search over function spaces. To perform search over such spaces in a reasonable amount of time, we use {it locality-sensitive hashing} (LSH). We present two methods that allow LSH functions on $mathbb{R}^N$ to be extended to $L^p$ spaces: one using function approximation in an orthonormal basis, and another using (quasi-)Monte Carlo-style techniques. We use the presented hashing schemes to construct an LSH family for Wasserstein distance over one-dimensional, continuous probability distributions." @default.
• W3005193773 created "2020-02-14" @default.
• W3005193773 creator A5041547726 @default.
• W3005193773 creator A5086042756 @default.
• W3005193773 date "2020-02-10" @default.
• W3005193773 modified "2023-09-27" @default.
• W3005193773 title "Locality-sensitive hashing in function spaces." @default.
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• W3005193773 hasPublicationYear "2020" @default.
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