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Xinglin Piao

1 accepted papers

2019

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering

CVPR 2019poster

Unsupervised clustering for high-dimension data (such as imageset or video) is a hard issue in data processing and data mining area since these data always lie on a manifold (such as Grassmann manifold). Inspired of Low Rank representation theory, researchers proposed a series of effective clusterin…

Cited by 25PDFScholar