A Sparse Johnson--Lindenstrauss Transform
STOC 2010: PROCEEDINGS OF THE 2010 ACM SYMPOSIUM ON THEORY OF COMPUTING, pp. 341-350, 2010.
Johnson-Lindenstrauss transformDimensionality reduction
Dimension reduction is a key algorithmic tool with many applications including nearest-neighbor search, compressed sensing and linear algebra in the streaming model. In this work we obtain a sparse version of the fundamental tool in dimension reduction - the Johnson-Linderistrauss transform. Using hashing and local densification, we const...More
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