References in zbMATH (referenced in 698 articles )

Showing results 621 to 640 of 698.
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  1. Kowalski, Matthieu; Torrésani, Bruno: Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients (2009)
  2. 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)
  3. Lv, Jinchi; Fan, Yingying: A unified approach to model selection and sparse recovery using regularized least squares (2009)
  4. Malgouyres, F.; Zeng, T.: A predual proximal point algorithm solving a non negative basis pursuit denoising model (2009) ioport
  5. Meinshausen, Nicolai: Forest Garrote (2009)
  6. Mohammadi, Raheleh; Mahloojifar, Ali: Resolution improvement of scanning acoustic microscopy using sparse signal representation (2009) ioport
  7. Ni, Xuelei Sherry; Huo, Xiaoming: Another look at Huber’s estimator: a new minimax estimator in regression with stochastically bounded noise (2009)
  8. Novikov, S. Ya.; Ryabtsov, I. S.: Optimization of frame representations for compressed sensing and Mercedes-Benz frame (2009)
  9. Peyré, Gabriel: Sparse modeling of textures (2009) ioport
  10. Tseng, Paul; Yun, Sangwoon: A coordinate gradient descent method for nonsmooth separable minimization (2009)
  11. Tseng, P.; Yun, S.: Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization (2009)
  12. Xie, Zongbo; Feng, Jiuchao: KFCE: a dictionary generation algorithm for sparse representation (2009)
  13. Yang, Jingyu; Peng, Yigang; Xu, Wenli; Dai, Qionghai: Ways to sparse representation: An overview (2009)
  14. Yarmish, Gavriel; Van Slyke, Richard: A distributed, scaleable simplex method (2009) ioport
  15. Zhao, Peng; Rocha, Guilherme; Yu, Bin: The composite absolute penalties family for grouped and hierarchical variable selection (2009)
  16. Abrial, P.; Moudden, Y.; Starck, J.-L.; Fadili, J.; Delabrouille, J.; Nguyen, M. K.: CMB data analysis and sparsity (2008)
  17. Blumensath, Thomas; Davies, Mike E.: Iterative thresholding for sparse approximations (2008)
  18. Bourguignon, Sébastien; Carfantan, Hervé: New methods for fitting multiple sinusoids from irregularly sampled data (2008)
  19. Candès, Emmanuel J.; Wakin, Michael B.; Boyd, Stephen P.: Enhancing sparsity by reweighted (\ell_1) minimization (2008)
  20. Capobianco, Enrico: Dimensionality reduction and greedy learning of convoluted stochastic dynamics (2008)

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