A Weighted Sparse Neighbourhood-Preserving Projections for Face Recognition
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DOI: 10.1080/03772063.2016.1274240
Abstract: ABSTRACT Dimensionality reduction algorithms are widely applied to high-dimensional data pre-processing, especially for face images. In this paper, we propose an unsupervised sparse subspace learning approach called weighted sparse neighbourhood-preserving projections (WSNPP) for face recognition.… read more here.
Keywords: weighted sparse; neighbourhood preserving; preserving projections; sparse neighbourhood ... See more keywords