R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
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Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
ICML, 2006.

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@inproceedings{ICML-2006-DingZHZ,
	author        = "Chris H. Q. Ding and Ding Zhou and Xiaofeng He and Hongyuan Zha",
	booktitle     = "{Proceedings of the 23rd International Conference on Machine Learning}",
	doi           = "10.1145/1143844.1143880",
	isbn          = "1-59593-383-2",
	pages         = "281--288",
	publisher     = "{ACM}",
	series        = "{ACM International Conference Proceeding Series}",
	title         = "{R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization}",
	volume        = 148,
	year          = 2006,
}

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