Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm - researchr publication

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Anders Eriksson, Anton van den Hengel. Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm. In The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010. pages 771-778, IEEE, 2010. [doi]

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