A randomized UTV-style low-rank approximation that adaptively identifies the numerical rank from triangular-factor diagonals, with O(mnr) complexity.
Bj¨ orck,Numerical Methods for Least Squares Problems , Society for Industrial and Applied Mathematics, 1996
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A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction
A randomized UTV-style low-rank approximation that adaptively identifies the numerical rank from triangular-factor diagonals, with O(mnr) complexity.