A simple filter for detecting low-rank submatrices

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.