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One paper is accepted by ICML 2014
发布者: 孟徳宇 | 2014-04-16

Our robust PCA method can well fit more complex noise beyond conventional Gaussian, Laplacian, Sparse noise or any combinations of them: (best student poster runner-up in MLA2014)

Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang. Robust principal component analysis with complex noiseSupplementary MaterialICML, 2014Matlab code

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