| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10356350 | Journal of Computational Physics | 2012 | 9 Pages |
Abstract
We present a simple algorithm for detecting low-rank submatrices from within a much larger matrix. This algorithm relies on a basic geometric property of high-dimensional space: random 2-d projections of eccentric gaussian distributions are typically concentrated in opposite quadrants of the plane.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Aaditya V. Rangan,