References in zbMATH (referenced in 632 articles )

Showing results 601 to 620 of 632.
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  1. Gordon, Y.; Litvak, A. E.; Mendelson, S.; Pajor, A.: Gaussian averages of interpolated bodies and applications to approximate reconstruction (2007)
  2. Huo, Xiaoming; Ni, Xuelei: When do stepwise algorithms meet subset selection criteria? (2007)
  3. Jiang, Lingling; Feng, Xiangchu; Yin, Haiqing: Image decomposition using optimally sparse representations and a variational approach (2007)
  4. Kashin, B. S.; Temlyakov, V. N.: A remark on compressed sensing (2007)
  5. Liu, Yufeng; Zhang, Hao Helen; Park, Cheolwoo; Ahn, Jeongyoun: Support vector machines with adaptive (L_q) penalty (2007)
  6. Lobo, Miguel Sousa; Fazel, Maryam; Boyd, Stephen: Portfolio optimization with linear and fixed transaction costs (2007)
  7. Malgouyres, F.: Image compression through a projection onto a polyhedral set (2007) ioport
  8. Malgouyres, François: Estimating the probability law of the codelength as a function of the approximation error in image compression (2007)
  9. Micchelli, Charles A.; Pontil, Massimiliano: Feature space perspectives for learning the kernel (2007) ioport
  10. Rauhut, Holger: Random sampling of sparse trigonometric polynomials (2007)
  11. Rehn, Martin; Sommer, Friedrich T.: A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields (2007) ioport
  12. Teschke, Gerd: Multi-frame representations in linear inverse problems with mixed multi-constraints (2007)
  13. Xiao, Ming; Xie, Shengli; Fu, Yuli: Searching-and-averaging method of underdetermined blind speech signal separation in time domain (2007)
  14. Aharon, Michal; Elad, Michael; Bruckstein, Alfred M.: On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them (2006)
  15. Ancona, Nicola; Maglietta, Rosalia; Stella, Ettore: Data representations and generalization error in kernel based learning machines (2006)
  16. Bühlmann, Peter: Boosting for high-dimensional linear models (2006)
  17. Greenshtein, Eitan: Best subset selection, persistence in high-dimensional statistical learning and optimization under (l_1) constraint (2006)
  18. Haugland, Dag; Storøy, Sverre: Local search methods for (\ell_1)-minimization in frame based signal compression (2006)
  19. Lin, Yi; Zhang, Hao Helen: Component selection and smoothing in multivariate nonparametric regression (2006)
  20. Meinshausen, Nicolai; Bühlmann, Peter: High-dimensional graphs and variable selection with the Lasso (2006)

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