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

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]

@inproceedings{SzlamGO10,
  title = {A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing},
  author = {Arthur Szlam and Zhaohui Guo and Stanley Osher},
  year = {2010},
  doi = {10.1109/ICIP.2010.5651881},
  url = {http://dx.doi.org/10.1109/ICIP.2010.5651881},
  researchr = {https://researchr.org/publication/SzlamGO10},
  cites = {0},
  citedby = {0},
  pages = {1917-1920},
  booktitle = {Proceedings of the International Conference on Image Processing, ICIP 2010, September 26-29, Hong Kong, China},
  publisher = {IEEE},
  isbn = {978-1-4244-7994-8},
}