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Improved Low-rank Matrix Decompositions via the Subsampled Randomized Hadamard Transform
We comment on two randomized algorithms for constructing low-rank matrix decompositions.
Both algorithms employ the Subsampled Randomized Hadamard Transform.
We provide a novel analysis that significantly improves previous approximation bounds.