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Stable Sparse Subspace Embedding for Dimensionality Reduction
Although they adopt uniform sampling with replacement, due to large sampling variance, the number of non-zeros is uneven among rows of the projection matrix which is generated in one trial, and more data information may be lost after dimension reduction.
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