A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing - researchr publication authors

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Arthur Szlam, Zhaohui Guo, Stanley Osher. A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. In Proceedings of the International Conference on Image Processing, ICIP 2010, September 26-29, Hong Kong, China. pages 1917-1920, IEEE, 2010. [doi]

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