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In this study, the authors present GASG21 (Grassmannian adaptive stochastic gradient for <bold>L</bold>2,1 norm minimisation), an adaptive stochastic gradient algorithm to robustly recover the low-rank subspace from a large matrix. In the presence of column outliers corruption, the authors reformulate the classical matrix <bold>L</bold>2,1 norm minimisation problem as its stochastic...
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