ADMM penalty parameter selection with krylov subspace recycling technique for sparse coding
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[1] Åke Björck,et al. Numerical methods for least square problems , 1996 .
[2] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[3] Michael Elad,et al. Image Denoising with Shrinkage and Redundant Representations , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[4] Bhaskar D. Rao,et al. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm , 1997, IEEE Trans. Signal Process..
[5] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[6] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[7] Euhanna Ghadimi,et al. Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems , 2013, IEEE Transactions on Automatic Control.
[8] Behnam Jafarpour,et al. Effective solution of nonlinear subsurface flow inverse problems in sparse bases , 2010 .
[9] Stefano Di Cairano,et al. Alternating direction method of multipliers for strictly convex quadratic programs: Optimal parameter selection , 2014, 2014 American Control Conference.
[10] Brendt Wohlberg,et al. Efficient Algorithms for Convolutional Sparse Representations , 2016, IEEE Transactions on Image Processing.
[11] Zheng Xu,et al. Adaptive ADMM with Spectral Penalty Parameter Selection , 2016, AISTATS.
[12] Jean Ponce,et al. Sparse Modeling for Image and Vision Processing , 2014, Found. Trends Comput. Graph. Vis..
[13] Brendt Wohlberg,et al. ADMM Penalty Parameter Selection by Residual Balancing , 2017, ArXiv.
[14] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[15] David Zhang,et al. A Survey of Sparse Representation: Algorithms and Applications , 2015, IEEE Access.
[16] Stephen P. Boyd,et al. Proximal Algorithms , 2013, Found. Trends Optim..
[17] Brendt Wohlberg,et al. Performance comparison of iterative reweighting methods for total variation regularization , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[18] Mac McKee,et al. Applicability of statistical learning algorithms in groundwater quality modeling , 2005 .