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    Semi-supervised dimensionality reduction via sparse locality preserving projection

    The dimensionality reduction of the unbalanced semi-supervised problem is difficult because there are too few labeled samples. In this paper, we propose a new dimensionality reduction method for the unbalanced...

    Huijie Guo, Hui Zou, Junyan Tan in Applied Intelligence (2020)