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Fast Johnson-Lindenstrauss — Learning With Errors
May 27, 2016 The Johnson-Lindenstrauss (JL) Transform says that, informally, we can embed high-dimensional points into a much lower dimension, while still preserving their pairwise distances. In this post we'll start with the classical JL transform, then focus on the Fast JL Transform (FJLT) by Ailon and Chazelle [AC09]