-
1
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
DOI 10.1111/j.1467-9868.2005.00532.x
-
M.Yuan and Y. Lin, "Model selection and estimation in regression with grouped variables," J. Roy. Statist. Soc., Series B, vol. 68, pp. 49-67, 2006. (Pubitemid 43415335)
-
(2006)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.68
, Issue.1
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
3
-
-
70350743173
-
Robust recovery of signals from a structured union of subspaces
-
Nov
-
Y. C. Eldar and M. Mishali, "Robust recovery of signals from a structured union of subspaces," IEEE Trans. Inf. Theory, vol. 55, no. 11, pp. 5302-5316, Nov. 2009.
-
(2009)
IEEE Trans. Inf. Theory
, vol.55
, Issue.11
, pp. 5302-5316
-
-
Eldar, Y.C.1
Mishali, M.2
-
4
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
5
-
-
30844461481
-
Algorithms for simultaneous sparse approximation. Part II: Convex relaxation
-
DOI 10.1016/j.sigpro.2005.05.031, PII S0165168405002239, Sparse Approximations in Signal and Image Processing
-
J. Tropp, "Algorithms for simultaneous sparse approximation. Part II: Convex relaxation," Signal Process., vol. 86, no. 3, pp. 589-602, 2006. (Pubitemid 43106573)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 589-602
-
-
Tropp, J.A.1
-
6
-
-
30844445842
-
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
-
DOI 10.1016/j.sigpro.2005.05.030, PII S0165168405002227, Sparse Approximations in Signal and Image Processing
-
J. Tropp, A. Gilbert, and M. Strauss, "Algorithms for simultaneous sparse approximation. part I: Greedy pursuit," Signal Process., vol. 86, no. 3, pp. 572-588, 2006. (Pubitemid 43106572)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 572-588
-
-
Tropp, J.A.1
Gilbert, A.C.2
Strauss, M.J.3
-
7
-
-
23844477225
-
Sparse solutions to linear inverse problems with multiple measurement vectors
-
DOI 10.1109/TSP.2005.849172
-
S. Cotter, B. Rao, K. Engan, and K. Kreutz-Delgado, "Sparse solutions to linear inverse problems with multiple measurement vectors," IEEE Trans. Signal Process., vol. 53, no. 7, pp. 2477-2488, Jul. 2005. (Pubitemid 41174440)
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.7
, pp. 2477-2488
-
-
Cotter, S.F.1
Rao, B.D.2
Engan, K.3
Kreutz-Delgado, K.4
-
8
-
-
33947142837
-
Theoretical results on sparse representations of multiple-measurement vectors
-
DOI 10.1109/TSP.2006.881263
-
J. Chen and X. Huo, "Theoretical results on sparse representations of multiple-measurement vectors," IEEE Trans. Signal Process., vol. 54, no. 12, pp. 4634-4643, Dec. 2006. (Pubitemid 46405606)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.12
, pp. 4634-4643
-
-
Chen, J.1
Huo, X.2
-
9
-
-
53149111169
-
Reduce and boost: Recovering arbitrary sets of jointly sparse vectors
-
Oct
-
M. Mishali and Y. C. Eldar, "Reduce and boost: Recovering arbitrary sets of jointly sparse vectors," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4692-4702, Oct. 2008.
-
(2008)
IEEE Trans. Signal Process.
, vol.56
, Issue.10
, pp. 4692-4702
-
-
Mishali, M.1
Eldar, Y.C.2
-
10
-
-
73849109362
-
Average case analysis of multichannel sparse recovery using convex relaxation
-
Y. C. Eldar and H. Rauhut, "Average case analysis of multichannel sparse recovery using convex relaxation," IEEE Trans. Inf. Theory, vol. 56, no. 1, pp. 505-519, 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, Issue.1
, pp. 505-519
-
-
Eldar, Y.C.1
Rauhut, H.2
-
11
-
-
57649169327
-
Gradient methods for minimizing composite objective function
-
Louvain-la-Neuve, Belgium: Catholic Univ. of Louvain, CORE Discussion Paper 2007/76
-
Y. Nesterov, "Gradient methods for minimizing composite objective function," in Center for Operations Research and Econometrics (CORE). Louvain-la-Neuve, Belgium: Catholic Univ. of Louvain, 2007, CORE Discussion Paper 2007/76.
-
(2007)
Center for Operations Research and Econometrics (CORE)
-
-
Nesterov, Y.1
-
12
-
-
67650178787
-
Sparse reconstruction by separable approximation
-
S. Wright, R. Nowak, and M. Figueiredo, "Sparse reconstruction by separable approximation," IEEE Trans. Signal Process., vol. 57, no. 7, pp. 2479-2493, 2009.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, Issue.7
, pp. 2479-2493
-
-
Wright, S.1
Nowak, R.2
Figueiredo, M.3
-
14
-
-
84870267097
-
Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
-
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," Ann. Appl. Statist., vol. 4, no. 1, pp. 53-77, 2010.
-
(2010)
Ann. Appl. Statist.
, vol.4
, Issue.1
, pp. 53-77
-
-
Peng, J.1
Zhu, J.2
Bergamaschi, A.3
Han, W.4
Noh, D.5
Pollack, J.6
Wang, P.7
-
15
-
-
77956548668
-
Tree-guided group lasso for multi-task regression with structured sparsity
-
Jun
-
S. Kim and E. P. Xing, "Tree-guided group lasso for multi-task regression with structured sparsity," Proc. 27th Int. Conf. Mach. Learning (ICML), pp. 543-550, Jun. 2010.
-
(2010)
Proc. 27th Int. Conf. Mach. Learning (ICML)
, pp. 543-550
-
-
Kim, S.1
Xing, E.P.2
-
16
-
-
77956506018
-
Proximal methods for sparse hierarchical dictionary learning
-
Jun
-
R. Jenatton, J. Mairal, G. Obozinski, and F. Bach, "Proximal methods for sparse hierarchical dictionary learning," ICML, Jun. 2010.
-
(2010)
ICML
-
-
Jenatton, R.1
Mairal, J.2
Obozinski, G.3
Bach, F.4
-
17
-
-
27744574209
-
Image decomposition via the combination of sparse representations and a variational approach
-
DOI 10.1109/TIP.2005.852206
-
J. Starck, M. Elad, and D. Donoho, "Image decomposition via the combination of sparse representations and a variational approach," IEEE Trans. Image Process., vol. 14, no. 10, pp. 1570-1582, 2004. (Pubitemid 41623087)
-
(2005)
IEEE Transactions on Image Processing
, vol.14
, Issue.10
, pp. 1570-1582
-
-
Starck, J.-L.1
Elad, M.2
Donoho, D.L.3
-
18
-
-
80051713547
-
-
Sep., [Online]. Available:
-
R. Jenatton, J. Mairal, G. Obozinski, and F. Bach, "Proximal methods for hierarchical sparse coding," Sep. 2010 [Online]. Available: http:// arxiv.org/pdf/1009.2139
-
(2010)
Proximal Methods for Hierarchical Sparse Coding
-
-
Jenatton, R.1
Mairal, J.2
Obozinski, G.3
Bach, F.4
-
19
-
-
0001287271
-
Regression shrinkage and selection via the LASSO
-
R. Tibshirani, "Regression shrinkage and selection via the LASSO," J. Roy. Stat. Soc., Series B, vol. 58, no. 1, pp. 267-288, 1996.
-
(1996)
J. Roy. Stat. Soc., Series B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
20
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
PII S1064827596304010
-
S. Chen, D. Donoho, and M. Saunders, "Atomic decomposition by basis pursuit," SIAM J. Sci. Comput., vol. 20, no. 1, pp. 33-61, 1999. (Pubitemid 128689501)
-
(1998)
SIAM Journal of Scientific Computing
, vol.20
, Issue.1
, pp. 33-61
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
21
-
-
33645712892
-
Compressed sensing
-
Apr
-
D. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.1
-
22
-
-
79953103015
-
The projected GSURE for automatic parameter tuning in iterative shrinkage methods
-
R. Giryes, M. Elad, and Y. C. Eldar, "The projected GSURE for automatic parameter tuning in iterative shrinkage methods," Appl. Comput. Harmon. Anal., vol. 30, pp. 407-422, 2010.
-
(2010)
Appl. Comput. Harmon. Anal.
, vol.30
, pp. 407-422
-
-
Giryes, R.1
Elad, M.2
Eldar, Y.C.3
-
23
-
-
80051629743
-
Sparse coding and dictionary learning based on the MDL principle
-
I. Ramírez and G. Sapiro, "Sparse coding and dictionary learning based on the MDL principle," in Proc. Int. Conf. Acoust., Speech, Signal Process. (IEEE ICASSP), 2011, pp. 2160-2163.
-
(2011)
Proc. Int. Conf. Acoust., Speech, Signal Process. (IEEE ICASSP)
, pp. 2160-2163
-
-
Ramírez, I.1
Sapiro, G.2
-
24
-
-
84863386014
-
Nonparametric Bayesian dictionary learning for sparse image representations
-
M. Zhou, H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin, "Nonparametric Bayesian dictionary learning for sparse image representations," in Proc. Adv. Neural Inf. Process. Syst. (NIPS), 2009.
-
(2009)
Proc. Adv. Neural Inf. Process. Syst. (NIPS)
-
-
Zhou, M.1
Chen, H.2
Paisley, J.3
Ren, L.4
Sapiro, G.5
Carin, L.6
-
25
-
-
23844431650
-
Simultaneous variable selection
-
DOI 10.1198/004017005000000139
-
B. Turlach, W. Venables, and S. Wright, "Simultaneous variable selection," Technometrics, vol. 27, pp. 349-363, 2004. (Pubitemid 41164070)
-
(2005)
Technometrics
, vol.47
, Issue.3
, pp. 349-363
-
-
Turlach, B.A.1
Venables, W.N.2
Wright, S.J.3
-
28
-
-
77952576986
-
Block-sparse signals: Uncertainty relations and efficient recovery
-
Jun
-
Y. C. Eldar, P. Kuppinger, and H. Bölcskei, "Block-sparse signals: Uncertainty relations and efficient recovery," IEEE Trans. Signal Process., vol. 58, no. 6, pp. 3042-3054, Jun. 2010.
-
(2010)
IEEE Trans. Signal Process.
, vol.58
, Issue.6
, pp. 3042-3054
-
-
Eldar, Y.C.1
Kuppinger, P.2
Bölcskei, H.3
-
29
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
DOI 10.1002/cpa.20042
-
I. Daubechies, M. Defrise, and C. D. Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint," Comm. Pure Appl. Math., vol. 57, pp. 1413-1457, 2004. (Pubitemid 39427442)
-
(2004)
Communications on Pure and Applied Mathematics
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Defrise, M.2
De Mol, C.3
-
30
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
DOI 10.1109/TIT.2005.862083
-
E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006. (Pubitemid 43174093)
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.2
, pp. 489-509
-
-
Candes, E.J.1
Romberg, J.2
Tao, T.3
-
31
-
-
42649140570
-
The restricted isometry property and its implications for compressed sensing
-
E. Candès, "The restricted isometry property and its implications for compressed sensing," C. R. Acad. Sci. Paris, I Math., vol. 346, pp. 589-592, 2008.
-
(2008)
C. R. Acad. Sci. Paris, I Math.
, vol.346
, pp. 589-592
-
-
Candès, E.1
-
32
-
-
5444237123
-
Greed is good: Algorithmic results for sparse approximation
-
Oct
-
J.Tropp, "Greed is good: Algorithmic results for sparse approximation," IEEE Trans. Inf. Theory, vol. 50, no. 10, pp. 2231-2242, Oct. 2004.
-
(2004)
IEEE Trans. Inf. Theory
, vol.50
, Issue.10
, pp. 2231-2242
-
-
Tropp, J.1
-
34
-
-
33646544831
-
A direct formulation for sparse PCA using semidefinite programming
-
A. d'Aspremont, L. E. Ghaoui, M. Jordan, and G. Lanckriet, "A direct formulation for sparse PCA using semidefinite programming," Neural Inf. Process. Syst., vol. 17, pp. 434-448, 2004.
-
(2004)
Neural Inf. Process. Syst.
, vol.17
, pp. 434-448
-
-
D'Aspremont, A.1
Ghaoui, L.E.2
Jordan, M.3
Lanckriet, G.4
-
35
-
-
33745309913
-
Sparse principal component analysis
-
DOI 10.1198/106186006X113430
-
H. Zou, T. Hastie, and R. Tibshirani, "Sparse principal component analysis," J. Comput. Graph. Stat., vol. 15, no. 2, pp. 265-286, 2006. (Pubitemid 43935978)
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, Issue.2
, pp. 265-286
-
-
Zou, H.1
Hastie, T.2
Tibshirani, R.3
-
36
-
-
33749258669
-
Spectral bounds for sparse PCA: Exact & greedy algorithms
-
B. Moghaddam, Y. Weiss, and S. Avidan, "Spectral bounds for sparse PCA: Exact & greedy algorithms," Neural Inf. Process. Syst., vol. 18, 2006.
-
(2006)
Neural Inf. Process. Syst.
, vol.18
-
-
Moghaddam, B.1
Weiss, Y.2
Avidan, S.3
-
37
-
-
77955994663
-
Classification and clustering via dictionary learning with structured incoherence
-
presented at the, San Francisco, CA, Jun
-
I. Ramirez, P. Sprechmann, and G. Sapiro, "Classification and clustering via dictionary learning with structured incoherence," presented at the 23rd IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), San Francisco, CA, Jun. 13-18, 2010.
-
(2010)
23rd IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)
, vol.13-18
-
-
Ramirez, I.1
Sprechmann, P.2
Sapiro, G.3
-
38
-
-
80051728012
-
-
Apr. [Online]. Available:, IMA Preprint
-
M. Zhou, H. Chen, J. Paisley, L. Ren, L. Li, Z. Xing, D. Dunson, G. Sapiro, and L. Carin, "Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images," Apr. 2010 [Online]. Available: http://www.ima.umn.edu/preprints/apr2010/2307.pdf, IMA Preprint
-
(2010)
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
-
-
Zhou, M.1
Chen, H.2
Paisley, J.3
Ren, L.4
Li, L.5
Xing, Z.6
Dunson, D.7
Sapiro, G.8
Carin, L.9
-
41
-
-
80051627498
-
Collaborative sources identification in mixed signals via hierarchical sparse modeling
-
presented at the, Prague, Czech Republic, May
-
P. Sprechmann, I. Ramirez, P. Cancela, and G. Sapiro, "Collaborative sources identification in mixed signals via hierarchical sparse modeling," presented at the Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Prague, Czech Republic, May 22-27, 2011.
-
(2011)
Int. Conf. Acoust., Speech, Signal Process. (ICASSP)
, pp. 22-27
-
-
Sprechmann, P.1
Ramirez, I.2
Cancela, P.3
Sapiro, G.4
|