Collaborative hierarchical sparse modeling

2010 44th Annual Conference on Information Sciences and Systems, CISS 2010

Volumn , Issue , 2010, Pages

  Sprechmann, Pablo ^a   Ramirez, Ignacio ^a   Sapiro, Guillermo ^a   Eldar, Yonina ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE SETS; CODED SIGNAL; DATA ANALYSIS; FEATURE LEVEL; GLOBAL OPTIMUM; LINEAR REGRESSION PROBLEMS; NEW MODEL; OPTIMIZATION APPROACH; OPTIMIZATION PROCEDURES; SOURCE SEPARATION; SPARSITY PATTERNS; THEORETICAL RESULT;

DATA PROCESSING; DATA REDUCTION; INFORMATION SCIENCE;

OPTIMIZATION;

EID: 77953703525     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2010.5464845     Document Type: Conference Paper

References (11)

1. R. Jenatton, J. Audibert, and F. Bach, "Structured variable selection with sparsity-inducing norms," Tech. Rep. arXiv:0904.3523v1, INRIA, 2009.
2. J. Tropp, "Algorithms for simultaneous sparse approximation. part ii:convex relaxation," Signal Processing, vol. 86, no. 3, pp. 589-602, 2006.
3. R. Tibshirani, "Regression shrinkage and selection via the LASSO," Journal of the Royal Statistical Society: Series B, vol. 58, no. 1, pp. 267-288, 1996.
4. M. Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society, Series B, vol. 68, pp. 49-67, 2006.
5. J. Friedman, T. Hastie, and R. Tibshirani, "A note on the group lasso and a sparse group lasso," preprint (2010), available at http://www-stat.stanford.edu/ tibs.
6. J. Peng, J. Zhu, A. Bergamaschi, W. Han, D. Noh, J. Pollack, and P. Wang, "Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer," Annals of Applied Statistics.To appear.
7. B. Turlach, W. Venables, and S. Wright, "Simultaneous variable selection," Technometrics, vol. 27, pp. 349-363, 2004.
8. J. Wright, R. Nowak, and M. Figueiredo, "Sparse reconstruction by separable approximation," Trans. Sig. Proc., vol. 57, no. 7, pp. 2479-2493, 2009.
9. D. Bertsekas and J. Tsitsiklis, Parallel and Distributed Comptutation: Numerical Methods, Prentice Hall, 1989.
10. P. Sprechmann, I. Ramirez, and G. Sapiro, "Classification and clustering via dictionary learning with structured incoherence," in CVPR, 2010.
11. J. Starck, M. Elad, and D. Donoho, "Image decomposition via the combination of sparse representations and a variational approach," IEEE Transactions on Image Processing, vol. 14, pp. 1570-1582, 2004.