-
1
-
-
0043005300
-
Learning a sparse representation for object detection
-
S. Agarwal and D. Roth, "Learning a sparse representation for object detection," in ECCV, 2002, pp. 97-101.
-
(2002)
ECCV
, pp. 97-101
-
-
Agarwal, S.1
Roth, D.2
-
3
-
-
0242366206
-
Simultaneous structure and texture image inpainting
-
Aug.
-
M. Bertalmio, L. Vese, G. Sapiro, and S. Osher, "Simultaneous structure and texture image inpainting," IEEE Trans. Image Process., vol. 12, no. 8, pp. 882-889, Aug. 2003.
-
(2003)
IEEE Trans. Image Process.
, vol.12
, Issue.8
, pp. 882-889
-
-
Bertalmio, M.1
Vese, L.2
Sapiro, G.3
Osher, S.4
-
6
-
-
0000732463
-
A limited memory algorithm for bound constrained optimization
-
R. H. Byrd, P. Lu, J. Nocedal, and C. Zhu, "A limited memory algorithm for bound constrained optimization," SIAM J. Sci. Comput., vol. 16, pp. 1190-1208, 1995.
-
(1995)
SIAM J. Sci. Comput.
, vol.16
, pp. 1190-1208
-
-
Byrd, R.H.1
Lu, P.2
Nocedal, J.3
Zhu, C.4
-
7
-
-
84878104490
-
Compressive sampling
-
E. J. Cande's, "Compressive sampling," in Proc. Int. Congr. Math., 2006, vol. 3, pp. 1433-1452.
-
(2006)
Proc. Int. Congr. Math.
, vol.3
, pp. 1433-1452
-
-
Candes, E.J.1
-
8
-
-
42649140570
-
The restricted isometry property and its applications for compressed sensing
-
Paris France
-
E. J. Cande's, "The restricted isometry property and its applications for compressed sensing," Compte Rendus de l'Academie des Sciences. Paris, France, vol. 1, pp. 589-592, 2008.
-
(2008)
Compte Rendus de LAcademie des Sciences
, vol.1
, pp. 589-592
-
-
Candes, E.J.1
-
9
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
Feb.
-
E. J. Cande's, 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.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.2
, pp. 489-509
-
-
Candes, E.J.1
Romberg, J.2
Tao, T.3
-
10
-
-
29144439194
-
Decoding by linear programming
-
DOI 10.1109/TIT.2005.858979
-
E. J. Cande's and T. Tao, "Decoding by linear programming," IEEE Trans. Inf. Theory, vol. 51, no. 12, pp. 4203-4215, Dec. 2005. (Pubitemid 41800353)
-
(2005)
IEEE Transactions on Information Theory
, vol.51
, Issue.12
, pp. 4203-4215
-
-
Candes, E.J.1
Tao, T.2
-
11
-
-
85032750937
-
An introduction to compressive sampling
-
E. J. Cande's and M. Wakin, "An introduction to compressive sampling," IEEE Signal. Process. Mag., vol. 25, pp. 21-30, 2008.
-
(2008)
IEEE Signal. Process. Mag.
, vol.25
, pp. 21-30
-
-
Candes, E.J.1
Wakin, M.2
-
12
-
-
51449107132
-
Effective separation of sparse and non-sparse image features for denoising
-
ICASSP Apr.
-
A. Chakrabarti and F. Hirakawa, "Effective separation of sparse and non-sparse image features for denoising," in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Apr. 2008, pp. 857-860.
-
(2008)
Proc. Int. Conf. Acoust. Speech Signal Process.
, pp. 857-860
-
-
Chakrabarti, A.1
Hirakawa, F.2
-
13
-
-
0032131292
-
Atomic decomposition by basis pursuit
-
PII S1064827596304010
-
S. S. Chen, D. L. Donoho, and M. A. 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
-
14
-
-
0035452299
-
Backward sequential elimination for sparse vector subset selection
-
DOI 10.1016/S0165-1684(01)00064-0, PII S0165168401000640
-
S. F. Cotter, K. Kreutz-Delgado, and B. D. Rao, "Backward sequential elimination for sparse vector subset selection," Signal Process., vol. 81, pp. 1849-1864, Sep. 2002. (Pubitemid 32723681)
-
(2001)
Signal Processing
, vol.81
, Issue.9
, pp. 1849-1864
-
-
Cotter, S.F.1
Kreutz-Delgado, K.2
Rao, B.D.3
-
15
-
-
0036578648
-
Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries
-
DOI 10.1109/LSP.2002.1009004, PII S1070990802060418
-
S. F. Cotter, K. Kreutz-Delgado, and B. D. Rao, "Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries," IEEE Signal Process. Lett., vol. 9, no. 5, pp. 145-147, May 2002. (Pubitemid 34878649)
-
(2002)
IEEE Signal Processing Letters
, vol.9
, Issue.5
, pp. 145-147
-
-
Cotter, S.F.1
Kreutz-Delgado, K.2
Rao, B.D.3
-
16
-
-
0034342180
-
On the optimality of the backward greedy algorithm for the subset selection problem
-
C. Couvreur and Y. Bresler, "On the optimality of the backward greedy algorithm for the subset selection problem," SIAM J. Matrix Anal. Appl., vol. 21, no. 3, pp. 797-808, 1999.
-
(1999)
SIAM J. Matrix Anal. Appl.
, vol.21
, Issue.3
, pp. 797-808
-
-
Couvreur, C.1
Bresler, Y.2
-
17
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
DOI 10.1002/cpa.20042
-
I. Daubechies, M. Defrise, and C. De Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint," Commun. 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
-
18
-
-
0031541839
-
Adaptive greedy approximations
-
Mar. 7
-
G. Davis, S. Mallat, and M. Avellaneda, "Adaptive greedy approximations," Constr. Approx., vol. 13, no. 1, pp. 57-98, Mar. 7, 1997.
-
(1997)
Constr. Approx.
, vol.13
, Issue.1
, pp. 57-98
-
-
Davis, G.1
Mallat, S.2
Avellaneda, M.3
-
19
-
-
33645712892
-
Compressed sensing
-
Apr.
-
D. L. 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.L.1
-
20
-
-
33646365077
-
1-norm solution is also the sparsest solution
-
DOI 10.1002/cpa.20132
-
D. L. Donoho, "For most large underdetermined systems of linear equations, the minimal l1 norm solution is also the sparsest solution," Commun. Pure Appl. Math., vol. 59, no. 6, pp. 797-829, 2006. (Pubitemid 43667226)
-
(2006)
Communications on Pure and Applied Mathematics
, vol.59
, Issue.6
, pp. 797-829
-
-
Donoho, D.L.1
-
21
-
-
0035504028
-
Uncertainty principles and ideal atomic decomposition
-
DOI 10.1109/18.959265, PII S0018944801089465
-
D. L. Donoho and X. Huo, "Uncertainty principles and ideal atomic decomposition," IEEE Trans. Inf. Theory, vol. 47, no. 7, pp. 2845-2862, Nov. 2001. (Pubitemid 33053488)
-
(2001)
IEEE Transactions on Information Theory
, vol.47
, Issue.7
, pp. 2845-2862
-
-
Donoho, D.L.1
Huo, X.2
-
22
-
-
0036714214
-
A generalized uncertainty principle and sparse representation in pairs of bases
-
DOI 10.1109/TIT.2002.801410, PII 1011092002801410
-
M. Elad and A. M. Bruckstein, "A generalized uncertainty principle and sparse representation in pairs of bases," IEEE Trans. Inf. Theory, vol. 48, no. 9, pp. 2558-2567, Sep. 2002. (Pubitemid 35032680)
-
(2002)
IEEE Transactions on Information Theory
, vol.48
, Issue.9
, pp. 2558-2567
-
-
Elad, M.1
Bruckstein, A.M.2
-
23
-
-
33645665466
-
A bound optimization approach to wavelet-based image deconvolution
-
DOI 10.1109/ICIP.2005.1530172, 1530172, IEEE International Conference on Image Processing 2005, ICIP 2005
-
M. Figueiredo and R. Nowak, "A bound optimization approach to wavelet-based image deconvolution," in Proc. IEEE Int. Conf. Image Process., 2005, pp. 782-785. (Pubitemid 44539056)
-
(2005)
Proceedings - International Conference on Image Processing, ICIP
, vol.2
, pp. 782-785
-
-
Figueiredo, M.A.T.1
Nowak, R.D.2
-
24
-
-
39449126969
-
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
-
M. Figueiredo, R. Nowak, and S. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE J. Sel. Topics Signal Process., vol. 1, pp. 586-598, 2007.
-
(2007)
IEEE J. Sel. Topics Signal Process.
, vol.1
, pp. 586-598
-
-
Figueiredo, M.1
Nowak, R.2
Wright, S.3
-
25
-
-
4644223536
-
Recovery of exact sparse representations in the presence of noise
-
ICASSP Montreal QC Canada May
-
J. J. Fuchs, "Recovery of exact sparse representations in the presence of noise," in Proc. IEEE Int. Conf. Acoust., Speec, Signal Process. (ICASSP), Montreal, QC, Canada, May 2004, vol. II, pp. 533-536.
-
(2004)
Proc. IEEE Int. Conf. Acoust. Speec Signal Process.
, vol.2
, pp. 533-536
-
-
Fuchs, J.J.1
-
26
-
-
2942640138
-
More on sparse representations in arbitrary bases
-
J. J. Fuchs, "More on sparse representations in arbitrary bases," IEEE Trans. Inf. Theory, vol. 50, pp. 1341-1344, 2004.
-
(2004)
IEEE Trans. Inf. Theory
, vol.50
, pp. 1341-1344
-
-
Fuchs, J.J.1
-
27
-
-
0036041770
-
Near-optimal sparse Fourier representations via sampling
-
A. C. Gilbert, S. Guha, P. Indyk, S. Muthukrishnan, and M. Strauss, "Near-optimal sparse Fourier representations via sampling," in Proc. 2002 ACM Symp. Theory Comput. (STOC), 2002, pp. 152-161. (Pubitemid 35009373)
-
(2002)
Conference Proceedings of the Annual ACM Symposium on Theory of Computing
, pp. 152-161
-
-
Gilbert, A.C.1
Guha, S.2
Indyk, P.3
Muthukrishnan, S.4
Strauss, M.5
-
28
-
-
53349163971
-
A fixed-point continuation method for l1-regularized minimization with applications to compressed sensing
-
Dept. Rice Univ. Houston TX CAAM Tech. Rep. TR07-07 Jul.
-
E. T. Hale, W. Yin, and Y. Zhang, "A fixed-point continuation method for l1-regularized minimization with applications to compressed sensing," Comput. Appl. Math. Dept., Rice Univ., Houston, TX, CAAM Tech. Rep. TR07-07, Jul. 2007.
-
(2007)
Comput. Appl. Math.
-
-
Hale, E.T.1
Yin, W.2
Zhang, Y.3
-
29
-
-
78650759634
-
A deterministic sub-linear time sparse Fourier algorithm via non-adaptive compressed sensing methods
-
M. A. Iwen, "A deterministic sub-linear time sparse Fourier algorithm via non-adaptive compressed sensing methods," in Proc. ACM-SIAM Symp. Discrete Algorithms (SODA), 2008, pp. 20-29.
-
(2008)
Proc. ACM-SIAM Symp. Discrete Algorithms SODA
, pp. 20-29
-
-
Iwen, M.A.1
-
30
-
-
39449109476
-
1-regularized least squares
-
DOI 10.1109/JSTSP.2007.910971
-
S. J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, "An interior-point method for large-scale l1 -regularized least squares," IEEE J. Select. Topics Signal Process., vol. 1, no. 4, pp. 606-617, Dec. 2007. (Pubitemid 351266626)
-
(2007)
IEEE Journal on Selected Topics in Signal Processing
, vol.1
, Issue.4
, pp. 606-617
-
-
Kim, S.-J.1
Koh, K.2
Lustig, M.3
Boyd, S.4
Gorinevsky, D.5
-
31
-
-
3342925349
-
Improved iterative algorithm for sparse object reconstruction and its performance evaluation with micro-CT data
-
Jun.
-
M. H. Li, H. Kudo, J. C. Hu, and R. H. Johnson, "Improved iterative algorithm for sparse object reconstruction and its performance evaluation with micro-CT data," IEEE Trans. Nucl. Sci., vol. 51, no. 3, pp. 659-666, Jun. 2004.
-
(2004)
IEEE Trans. Nucl. Sci.
, vol.51
, Issue.3
, pp. 659-666
-
-
Li, M.H.1
Kudo, H.2
Hu, J.C.3
Johnson, R.H.4
-
32
-
-
79952645742
-
-
presented at the 9th Annu. Meeting Soc. For Cardiovascular Magnetic Resonance Miami FL
-
M. Lustig, J. M. Santos, D. L. Donoho, and J. M. Pauly, "Rapid MR angiography with randomly under-sampled 3DFT trajectories and nonlinear reconstruction," presented at the 9th Annu. Meeting, Soc. For Cardiovascular Magnetic Resonance, Miami, FL, 2006.
-
(2006)
Rapid Mr Angiography with Randomly Under-Sampled 3dft Trajectories and Nonlinear Reconstruction
-
-
Lustig, M.1
Santos, J.M.2
Donoho, D.L.3
Pauly, J.M.4
-
33
-
-
0027842081
-
Matching pursuits with time-frequency dictionaries
-
Dec.
-
S. G. Mallat and Z. Zhang, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Precess., vol. 41, no. 12, pp. 3379-3415, Dec. 1993.
-
(1993)
IEEE Trans. Signal Precess.
, vol.41
, Issue.12
, pp. 3379-3415
-
-
Mallat, S.G.1
Zhang, Z.2
-
34
-
-
0018543889
-
Nonlinear perturbation of linear programs
-
O. L. Mangasarian and R. R. Meyer, "Nonlinear perturbation of linear programs," SIAM J Control Optim., vol. 17, no. 6, pp. 745-752, 1979.
-
(1979)
SIAM J Control Optim.
, vol.17
, Issue.6
, pp. 745-752
-
-
Mangasarian, O.L.1
Meyer, R.R.2
-
36
-
-
0029291966
-
Sparse approximate solutions to linear systems
-
B. K. Natarajan, "Sparse approximate solutions to linear systems," SIAM J. Comput., vol. 24, no. 2, pp. 227-234, 1995.
-
(1995)
SIAM J. Comput.
, vol.24
, Issue.2
, pp. 227-234
-
-
Natarajan, B.K.1
-
37
-
-
62749175137
-
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
-
D. Needell and J. A. Tropp, "CoSaMP: Iterative signal recovery from incomplete and inaccurate samples," Appl. Comput. Harmon. Anal., vol. 26, pp. 301-321, 2009.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.26
, pp. 301-321
-
-
Needell, D.1
Tropp, J.A.2
-
38
-
-
45049084813
-
Unsupervised learning of human action categories using spatial-temporal words
-
J. C. Niebles, H. Wang, and L. Fei-Fei, "Unsupervised learning of human action categories using spatial-temporal words," Int. J. Comput. Vis., vol. 79, p. 299C318, 2008.
-
(2008)
Int. J. Comput. Vis.
, vol.79
-
-
Niebles, J.C.1
Wang, H.2
Fei-Fei, L.3
-
40
-
-
70349600872
-
Dual-augmented lagrangian method for efficient sparse reconstruction
-
Dec.
-
R. Tomioka and M. Sugiyama, "Dual-augmented Lagrangian method for efficient sparse reconstruction," IEEE Signal Process. Lett., vol. 16, no. 12, pp. 1067-1070, Dec. 2009.
-
(2009)
IEEE Signal Process. Lett.
, vol.16
, Issue.12
, pp. 1067-1070
-
-
Tomioka, R.1
Sugiyama, M.2
-
41
-
-
33645712308
-
Just relax: Convex programming methods for identifying sparse signals in noise
-
DOI 10.1109/TIT.2005.864420
-
J. A. Tropp, "Just relax: Convex programming methods for identifying sparse signals," IEEE Trans. Inf. Theory, vol. 51, pp. 1030-1051, 2006. (Pubitemid 46444890)
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.3
, pp. 1030-1051
-
-
Tropp, J.A.1
-
43
-
-
64649083745
-
Signal recovery from random measurements via orthogonal matching pursuit
-
Dec.
-
J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4655-4666, Dec. 2007.
-
(2007)
IEEE Trans. Inf. Theory
, vol.53
, Issue.12
, pp. 4655-4666
-
-
Tropp, J.A.1
Gilbert, A.C.2
-
44
-
-
30844458202
-
1-norm solution and the sparsest solution
-
DOI 10.1016/j.sigpro.2005.05.028, PII S0165168405002203, Sparse Approximations in Signal and Image Processing
-
Y. Tsaig and D. L. Donoho, "Breakdown of equivalence between the minimal l1 -norm solution and the sparsest solution," Signal Process., vol. 86, no. 3, pp. 533-548, Mar. 2006. (Pubitemid 43106570)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 533-548
-
-
Tsaig, Y.1
Donoho, D.L.2
-
45
-
-
30844433547
-
Extensions of compressed sensing
-
DOI 10.1016/j.sigpro.2005.05.029, PII S0165168405002215, Sparse Approximations in Signal and Image Processing
-
Y. Tsaig and D. L. Donoho, "Extensions of compressed sensing," Signal Process., vol. 86, no. 3, pp. 549-571, Mar. 2006. (Pubitemid 43106571)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 549-571
-
-
Tsaig, Y.1
Donoho, D.L.2
-
46
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb.
-
J. Wright, A. Young, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Recogn. Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Recogn. Anal. Mach. Intell.
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Young, A.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
47
-
-
72749110068
-
Semi-supervised learning by sparse representation
-
S. Yan and H. Wang, "Semi-supervised learning by sparse representation," in Proc. SIAM Int. Conf. Data Min. (SDM), 2009, pp. 792-801.
-
(2009)
Proc. SIAM Int. Conf. Data Min. SDM
, pp. 792-801
-
-
Yan, S.1
Wang, H.2
-
48
-
-
79955559521
-
A coordinate gradient descent method for l1-regularized convex minimization
-
to be published
-
S. Yun and K.-C. Toh, "A coordinate gradient descent method for l1-regularized convex minimization," Comput. Optim. Appl., to be published.
-
Comput. Optim. Appl.
-
-
Yun, S.1
Toh, K.C.2
-
49
-
-
0000660321
-
Blind source separation by sparse decomposition in a signal dictionary
-
DOI 10.1162/089976601300014385
-
M. Zibulewsky and B. Pearlmutter, "Blind source separation by sparse decomposition on a signal dictionary," Neural Comput., vol. 13, pp. 863-882, 2001. (Pubitemid 33594308)
-
(2001)
Neural Computation
, vol.13
, Issue.4
, pp. 863-882
-
-
Zibulevsky, M.1
Pearlmutter, B.A.2
|