Marco Viola

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Global Convergence

Quadratic Programming

Optimization Methods

Image Restoration

Top Venues

Appl. Math. Comput.

Publications

Daniela di Serafino, William W. Hager, Gerardo Toraldo, Marco Viola
On the stationarity for nonlinear optimization problems with polyhedral constraints. Math. Program. 205 (1) (2024)
Laura Antonelli, Valentina De Simone, Marco Viola
Cartoon-texture evolution for two-region image segmentation. Comput. Optim. Appl. 84 (1) (2023)
Serena Crisci, Valentina De Simone, Marco Viola
On the Adaptive Penalty Parameter Selection in ADMM. Algorithms 16 (6) (2023)
Laura Antonelli, Valentina De Simone, Marco Viola
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. SSVM (2023)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. SIAM Rev. 64 (4) (2022)
Laura Antonelli, Valentina De Simone, Marco Viola
Cartoon-texture evolution for two-region image segmentation. CoRR (2022)
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) (2022)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
Using gradient directions to get global convergence of Newton-type methods. Appl. Math. Comput. 409 (2021)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. CoRR (2021)
Daniela di Serafino, Germana Landi, Marco Viola
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. CoRR (2021)
Daniela di Serafino, Germana Landi, Marco Viola
Directional TGV-Based Image Restoration under Poisson Noise. J. Imaging 7 (6) (2021)
Daniela di Serafino, Germana Landi, Marco Viola
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter. ICCSA (Workshops) (2021)
Daniela di Serafino, Germana Landi, Marco Viola
Directional TGV-based image restoration under Poisson noise. CoRR (2021)
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
LSOS: Line-search Second-Order Stochastic optimization methods. CoRR (2020)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
Using gradient directions to get global convergence of Newton-type methods. CoRR (2020)
Daniela di Serafino, Germana Landi, Marco Viola
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration. Appl. Math. Comput. 364 (2020)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
A Gradient-Based Globalization Strategy for the Newton Method. NUMTA(1) (2019)
Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino
Semi-supervised generalized eigenvalues classification. Ann. Oper. Res. 276 (1-2) (2019)
Valentina De Simone, Daniela di Serafino, Marco Viola
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. CoRR (2019)
Daniela di Serafino, Gerardo Toraldo, Marco Viola, Jesse L. Barlow
A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables. SIAM J. Optim. 28 (4) (2018)
Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino
A generalized eigenvalues classifier with embedded feature selection. Optim. Lett. 11 (2) (2017)
Zdenek Dostál, Gerardo Toraldo, Marco Viola, Oldrich Vlach
Proportionality-Based Gradient Methods with Applications in Contact Mechanics. HPCSE (2017)
Marco Viola
Some remarks on the division of cognitive labor. Roars Trans. 3 (1) (2015)