References in zbMATH (referenced in 676 articles )

Showing results 581 to 600 of 676.
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  1. Tseng, Paul: Approximation accuracy, gradient methods, and error bound for structured convex optimization (2010)
  2. Wang, Li; Zhu, Ji: Image denoising via solution paths (2010)
  3. Zhang, H.; Cheng, L. Z.: Projected Landweber iteration for matrix completion (2010)
  4. Zymnis, Argyrios; Boyd, Stephen; Gorinevsky, Dimitry: Mixed linear system estimation and identification (2010)
  5. Ambroise, Christophe; Chiquet, Julien; Matias, Catherine: Inferring sparse Gaussian graphical models with latent structure (2009)
  6. Bobin, J.; Moudden, Y.; Fadili, J.; Starck, J.-L.: Morphological diversity and sparsity for multichannel data restoration (2009) ioport
  7. Candès, Emmanuel J.; Plan, Yaniv: Near-ideal model selection by (\ell_1) minimization (2009)
  8. De Mol, Christine; De Vito, Ernesto; Rosasco, Lorenzo: Elastic-net regularization in learning theory (2009)
  9. Destrero, Augusto; de Mol, Christine; Odone, Francesca; Verri, Alessandro: A regularized framework for feature selection in face detection and authentication (2009) ioport
  10. Destrero, Augusto; Mosci, Sofia; De Mol, Christine; Verri, Alessandro; Odone, Francesca: Feature selection for high-dimensional data (2009)
  11. Eskander, George S.; Atiya, Amir F.: Symbolic function network (2009) ioport
  12. Gurbuz, Ali C.; McClellan, James H.; Scott, Waymond R. jun.: Compressive sensing for subsurface imaging using ground penetrating radar (2009)
  13. He, Zhaoshui; Cichocki, Andrzej; Li, Yuanqing; Xie, Shengli; Sanei, Saeid: K-hyperline clustering learning for sparse component analysis (2009)
  14. Hossain, S.; Doksum, Kjell A.; Ahmed, S. Ejaz: Positive shrinkage, improved pretest and absolute penalty estimators in partially linear models (2009)
  15. James, Gareth M.; Wang, Jing; Zhu, Ji: Functional linear regression that’s interpretable (2009)
  16. Jokar, Sadegh; Mehrmann, Volker: Sparse solutions to underdetermined Kronecker product systems (2009)
  17. Koutsourelakis, P. S.: A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters (2009)
  18. Kowalski, Matthieu: Sparse regression using mixed norms (2009)
  19. Kowalski, Matthieu; Torrésani, Bruno: Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients (2009)
  20. Loris, I.; Bertero, M.; De Mol, C.; Zanella, R.; Zanni, L.: Accelerating gradient projection methods for (\ell_1)-constrained signal recovery by steplength selection rules (2009)

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