A Missing Data Reconstruction Method Using an Accelerated Least-Squares Approximation with Randomized SVD
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DOI: 10.3390/a15060190
Abstract: An accelerated least-squares approach is introduced in this work by incorporating a greedy point selection method with randomized singular value decomposition (rSVD) to reduce the computational complexity of missing data reconstruction. The rSVD is used… read more here.
Keywords: missing data; accelerated least; method; least squares ... See more keywords