James G. Nagy
Orcid: 0000-0002-0451-3853Affiliations:
- Emory University, Atlanta, GA, USA
According to our database1,
James G. Nagy
authored at least 61 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems.
CoRR, 2024
2023
Numer. Algorithms, January, 2023
J. Imaging, 2023
2022
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets.
SIAM J. Matrix Anal. Appl., June, 2022
To be or not to be stable, that is the question: understanding neural networks for inverse problems.
CoRR, 2022
2021
SIAM J. Sci. Comput., 2021
SIAM J. Imaging Sci., 2021
Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions.
CoRR, 2021
2020
IEEE Trans. Computational Imaging, 2020
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization.
CoRR, 2020
An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images.
CoRR, 2020
Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs.
Bioinform., 2020
2019
SIAM J. Sci. Comput., 2019
IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems.
Numer. Algorithms, 2019
An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction.
CoRR, 2019
2018
Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications.
SIAM J. Matrix Anal. Appl., 2018
An alternating direction method of multipliers for the solution of matrix equations arising in inverse problems.
Numer. Linear Algebra Appl., 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018
2017
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled Variables.
CoRR, 2017
2016
Proceedings of the Context-Enhanced Information Fusion, 2016
Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016
2015
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015
Deblurring and Sparse Unmixing of Hyperspectral Images Using Multiple Point Spread Functions.
SIAM J. Sci. Comput., 2015
Numer. Linear Algebra Appl., 2015
Proceedings of the 18th International Conference on Information Fusion, 2015
2014
SIAM J. Sci. Comput., 2014
Numer. Algorithms, 2014
Proceedings of the 17th International Conference on Information Fusion, 2014
2013
SIAM J. Sci. Comput., 2013
2012
J. Comput. Appl. Math., 2012
2011
Adv. Comput. Math., 2011
2010
Parallel Colt: A High-Performance Java Library for Scientific Computing and Image Processing.
ACM Trans. Math. Softw., 2010
An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems.
SIAM J. Sci. Comput., 2010
SIAM J. Imaging Sci., 2010
2008
J. Electronic Imaging, 2008
2007
Numer. Linear Algebra Appl., 2007
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007
2006
Kronecker product approximation for preconditioning in three-dimensional imaging applications.
IEEE Trans. Image Process., 2006
Covariance-Preconditioned Iterative Methods for Nonnegatively Constrained Astronomical Imaging.
SIAM J. Matrix Anal. Appl., 2006
2004
Numer. Algorithms, 2004
2003
Kronecker Product Approximations forImage Restoration with Reflexive Boundary Conditions.
SIAM J. Matrix Anal. Appl., 2003
Comput. Sci. Eng., 2003
2000
SIAM J. Matrix Anal. Appl., 2000
1998
1996
IEEE Trans. Image Process., 1996
Proceedings of the Numerical Analysis and Its Applications, First International Workshop, 1996
1994
SIAM J. Matrix Anal. Appl., January, 1994
Numer. Algorithms, 1994
1993