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Marco Viola
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2020 – today
- 2024
- [j12]Daniela di Serafino, William W. Hager
, Gerardo Toraldo
On the stationarity for nonlinear optimization problems with polyhedral constraints. Math. Program. 205(1): 107-134 (2024) - 2023
- [j11]Serena Crisci
On the Adaptive Penalty Parameter Selection in ADMM. Algorithms 16(6): 264 (2023) - [j10]Laura Antonelli
Cartoon-texture evolution for two-region image segmentation. Comput. Optim. Appl. 84(1): 5-26 (2023) - [c4]Laura Antonelli
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. SSVM 2023: 511-521 - 2022
- [j9]Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola:
LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums. Math. Comput. 92(341): 1273-1299 (2022) - [j8]Valentina De Simone, Daniela di Serafino
Sparse Approximations with Interior Point Methods. SIAM Rev. 64(4): 954-988 (2022) - [i7]Laura Antonelli, Valentina De Simone, Marco Viola:
Cartoon-texture evolution for two-region image segmentation. CoRR abs/2203.03513 (2022) - 2021
- [j7]Daniela di Serafino
Using gradient directions to get global convergence of Newton-type methods. Appl. Math. Comput. 409: 125612 (2021) - [j6]Daniela di Serafino
Directional TGV-Based Image Restoration under Poisson Noise. J. Imaging 7(6): 99 (2021) - [c3]Daniela di Serafino, Germana Landi, Marco Viola
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. ICCSA (Workshops) 2021: 139-145 - [i6]Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. CoRR abs/2102.13608 (2021) - [i5]Daniela di Serafino, Germana Landi, Marco Viola:
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. CoRR abs/2104.14452 (2021) - [i4]Daniela di Serafino, Germana Landi, Marco Viola:
Directional TGV-based image restoration under Poisson noise. CoRR abs/2105.00106 (2021) - 2020
- [j5]Daniela di Serafino
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration. Appl. Math. Comput. 364 (2020) - [i3]Daniela di Serafino, Gerardo Toraldo, Marco Viola:
Using gradient directions to get global convergence of Newton-type methods. CoRR abs/2004.00968 (2020) - [i2]Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola:
LSOS: Line-search Second-Order Stochastic optimization methods. CoRR abs/2007.15966 (2020)
2010 – 2019
- 2019
- [j4]Marco Viola
Semi-supervised generalized eigenvalues classification. Ann. Oper. Res. 276(1-2): 249-266 (2019) - [c2]Daniela di Serafino
A Gradient-Based Globalization Strategy for the Newton Method. NUMTA(1) 2019: 177-185 - [i1]Valentina De Simone, Daniela di Serafino, Marco Viola:
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. CoRR abs/1912.06805 (2019) - 2018
- [j3]Daniela di Serafino
A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables. SIAM J. Optim. 28(4): 2809-2838 (2018) - 2017
- [j2]Marco Viola
A generalized eigenvalues classifier with embedded feature selection. Optim. Lett. 11(2): 299-311 (2017) - [c1]Zdenek Dostál
Proportionality-Based Gradient Methods with Applications in Contact Mechanics. HPCSE 2017: 47-58 - 2015
- [j1]Marco Viola:
Some remarks on the division of cognitive labor. Roars Trans. 3(1) (2015)
Coauthor Index
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