 | 2012 |
| 18 |  | Massimo Fornasier,
Karin Schnass,
Jan Vybíral:
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions.
Foundations of Computational Mathematics 12(2): 229-262 (2012) |
| 17 |  | Stephan Dahlke,
Massimo Fornasier,
Thorsten Raasch:
Multilevel preconditioning and adaptive sparse solution of inverse problems.
Math. Comput. 81(277): (2012) |
| 2011 |
| 16 |  | Massimo Fornasier,
J. Haskovec,
Jan Vybíral:
Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension.
Multiscale Modeling & Simulation 9(4): 1727-1764 (2011) |
| 15 |  | Massimo Fornasier,
Holger Rauhut,
Rachel Ward:
Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization.
SIAM Journal on Optimization 21(4): 1614-1640 (2011) |
| 2010 |
| 14 |  | Massimo Fornasier,
Karin Schnass,
Jan Vybíral:
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
CoRR abs/1008.3043: (2010) |
| 13 |  | Massimo Fornasier,
Rachel Ward:
Iterative Thresholding Meets Free-Discontinuity Problems.
Foundations of Computational Mathematics 10(5): 527-567 (2010) |
| 12 |  | Stephan Dahlke,
Massimo Fornasier,
Karlheinz Gröchenig:
Optimal adaptive computations in the Jaffard algebra and localized frames.
Journal of Approximation Theory 162(1): 153-185 (2010) |
| 2009 |
| 11 |  | Massimo Fornasier:
Compressive Algorithms-Adaptive Solutions of PDEs and Variational Problems.
IMA Conference on the Mathematics of Surfaces 2009: 143-169 |
| 10 |  | Massimo Fornasier,
Ronny Ramlau,
Gerd Teschke:
The application of joint sparsity and total variation minimization algorithms to a real-life art restoration problem.
Adv. Comput. Math. 31(1-3): 157-184 (2009) |
| 9 |  | Massimo Fornasier,
Carola-Bibiane Schönlieb:
Subspace Correction Methods for Total Variation and 1-Minimization.
SIAM J. Numerical Analysis 47(5): 3397-3428 (2009) |
| 2008 |
| 8 |  | Ingrid Daubechies,
Ronald A. DeVore,
Massimo Fornasier,
C. Sinan Güntürk:
Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery.
CISS 2008: 26-29 |
| 7 |  | Massimo Fornasier,
Holger Rauhut:
Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints.
SIAM J. Numerical Analysis 46(2): 577-613 (2008) |
| 2007 |
| 6 |  | Massimo Fornasier:
Faithful Recovery of Vector Valued Functions from Incomplete Data.
SSVM 2007: 116-127 |
| 5 |  | Stephan Dahlke,
Massimo Fornasier,
Thorsten Raasch:
Adaptive frame methods for elliptic operator equations.
Adv. Comput. Math. 27(1): 27-63 (2007) |
| 4 |  | Massimo Fornasier,
Riccardo March:
Restoration of Color Images by Vector Valued BV Functions and Variational Calculus.
SIAM Journal of Applied Mathematics 68(2): 437-460 (2007) |
| 2006 |
| 3 |  | Massimo Fornasier:
Nonlinear Projection Recovery in Digital Inpainting for Color Image Restoration.
Journal of Mathematical Imaging and Vision 24(3): 359-373 (2006) |
| 2005 |
| 2 |  | Maria Morandi Cecchi,
Massimo Fornasier:
Fast homogenization algorithm based on asymptotic theory and multiscale schemes.
Numerical Algorithms 40(2): 171-186 (2005) |
| 1 |  | Massimo Fornasier,
Domenico Toniolo:
Fast, robust and efficient 2D pattern recognition for re-assembling fragmented images.
Pattern Recognition 38(11): 2074-2087 (2005) |