Author:
Brune Christoph,Sawatzky Alex,Burger Martin
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference65 articles.
1. Acar, R., & Vogel, C. R. (1994). Analysis of bounded variation penalty methods for ill-posed problems. Inverse Problems, 10, 1217–1229.
2. Aubert, G., & Aujol, J. F. (2008). A variational approach to remove multiplicative noise. SIAM Journal on Applied Mathematics, 68, 925–946.
3. Bardsley, J., & Goldes, J. (2009). Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation. Inverse Problems, 25.
4. Bardsley, J., & Luttman, A. (2009). Total variation-penalized Poisson likelihood estimation for ill-posed problems. Advances in Computational Mathematics, 31(1), 35–59.
5. Benning, M., & Burger, M. (2009). Error estimates for variational models with non-Gaussian noise (Tech. Rep. 09-40). UCLA CAM.
Cited by
61 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献