A Novel M-Estimator for Robust PCA

20 Dec 2011 Teng Zhang Gilad Lerman

We study the basic problem of robust subspace recovery. That is, we assume a data set that some of its points are sampled around a fixed subspace and the rest of them are spread in the whole ambient space, and we aim to recover the fixed underlying subspace... (read more)

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