-
1
-
-
80755182306
-
Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory & II. New methods
-
M. A. Little and N. S. Jones, "Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory & II. New methods," Proc. R. Soc. A, vol. 467, 2011.
-
(2011)
Proc. R. Soc. A
, vol.467
-
-
Little, M.A.1
Jones, N.S.2
-
2
-
-
84883858239
-
Local behavior of sparse analysis regularization: Applications to risk estimation
-
to be published
-
S. Vaiter, C.-A. Deledalle, G. Peyré, C. Dossal, and J. Fadili, "Local behavior of sparse analysis regularization: Applications to risk estimation," Appl. and Computat. Harmon. Anal., 2013, to be published.
-
(2013)
Appl. and Computat. Harmon. Anal
-
-
Vaiter, S.1
Deledalle, C.-A.2
Peyré, G.3
Dossal, C.4
Fadili, J.5
-
3
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
L. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Physica D, vol. 60, no. 1-4, pp. 259-268, 1992.
-
(1992)
Physica D
, vol.60
, Issue.1-4
, pp. 259-268
-
-
Rudin, L.1
Osher, S.2
Fatemi, E.3
-
4
-
-
84856686644
-
An introduction to total variation for image analysis
-
A. Chambolle, V. Caselles,D. Cremers,M.Novaga, and T. Pock, "An introduction to total variation for image analysis," in Theoretical Foundations and Numerical Methods for Sparse Recovery, ser. Radon Series Comp. Appl. Math. Berlin, Germany: De Gruyter, 2010, vol. 9, pp. 263-340.
-
(2010)
Theoretical Foundations and Numerical Methods for Sparse Recovery, Ser. Radon Series Comp. Appl. Math. Berlin, Germany: De Gruyter
, vol.9
, pp. 263-340
-
-
Chambolle, A.1
Casellesd, V.2
Cremers, D.3
Novaga, M.4
Pock, T.5
-
5
-
-
79954564965
-
Should penalized least squares regression be interpreted as maximum a posteriori estimation?
-
May
-
R.Gribonval, "Should penalized least squares regression be interpreted as maximum a posteriori estimation?," IEEE Trans. Signal Process., vol. 59, no. 5, pp. 2405-2410, May 2011.
-
(2011)
IEEE Trans. Signal Process
, vol.59
, Issue.5
, pp. 2405-2410
-
-
Gribonval, R.1
-
6
-
-
84897584361
-
MMSE estimation of sparse Lévy processes
-
Jan.
-
U. S. Kamilov, P. Pad, A. Amini, and M. Unser, "MMSE estimation of sparse Lévy processes," IEEE Trans. Signal Process., vol. 61, no. 1, pp. 137-147, Jan. 2013.
-
(2013)
IEEE Trans. Signal Process
, vol.61
, Issue.1
, pp. 137-147
-
-
Kamilov, U.S.1
Pad, P.2
Amini, A.3
Unser, M.4
-
7
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
DOI 10.1111/j.1467-9868.2005.00490.x
-
R. Tibshirani, M. Saunders, S. Rosset, J. Zhu, and K. Knight, "Sparsity and smoothness via the fused lasso," J. R. Statist. Soc. B, vol. 67, no. 1, pp. 91-108, 2005. (Pubitemid 40167043)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.1
, pp. 91-108
-
-
Tibshirani, R.1
Saunders, M.2
Rosset, S.3
Zhu, J.4
Knight, K.5
-
8
-
-
37249032736
-
Spatial smoothing and hot spot detection for CGH data using the fused lasso
-
DOI 10.1093/biostatistics/kxm013
-
R. Tibshirani and P. Wang, "Spatial smoothing and hot spot detection for CGH data using the fused lasso," Biostatistics, vol. 9, pp. 18-29, 2008. (Pubitemid 350274579)
-
(2008)
Biostatistics
, vol.9
, Issue.1
, pp. 18-29
-
-
Tibshirani, R.1
Wang, P.2
-
9
-
-
45849107328
-
Pathwise coordinate optimization
-
J. Friedman, T. Hastie, H. Höfling, and R. Tibshirani, "Pathwise coordinate optimization," Ann. Appl. Statist., vol. 1, no. 2, pp. 302-332, 2007.
-
(2007)
Ann. Appl. Statist
, vol.1
, Issue.2
, pp. 302-332
-
-
Friedman, J.1
Hastie, T.2
Höfling, H.3
Tibshirani, R.4
-
10
-
-
84884379155
-
The group fused lasso for multiple changepoint detection
-
Jun to be published
-
K. Bleakley and J.-P. Vert, "The group fused lasso for multiple changepoint detection," PUBLICATION NAME?, Jun. 2011, to be published.
-
(2011)
Publication Name?
-
-
Bleakley, K.1
Vert, J.-P.2
-
12
-
-
0001556589
-
Iterative methods for total variation denoising
-
C. R. Vogel and M. E. Oman, "Iterative methods for total variation denoising," SIAM J. Sci. Comput., vol. 17, pp. 227-238, 1996. (Pubitemid 126621162)
-
(1996)
SIAM Journal of Scientific Computing
, vol.17
, Issue.1
, pp. 227-238
-
-
Vogel, C.R.1
Oman, M.E.2
-
13
-
-
0035250066
-
The digital TV filter and nonlinear denoising
-
PII S105771490100817X
-
T. F. Chan, S. Osher, and J. Shen, "The digital TV filter and nonlinear denoising," IEEE Trans. Image Process., vol. 10, no. 2, pp. 231-241, Feb. 2001. (Pubitemid 33777271)
-
(2001)
IEEE Transactions on Image Processing
, vol.10
, Issue.2
, pp. 231-241
-
-
Chan, T.F.1
Osher, S.2
Shen, J.3
-
14
-
-
33646554193
-
Total variation minimization and a class of binary MRF models
-
DOI 10.1007/11585978-10, Energy Minimization Methods in Computer Vision and Pattern Recognition - 5th International Workshop, EMMCVPR 2005, Proceedings
-
A. Chambolle, "Total variationminimization and a class of binary MRF models," in Energy MinimizationMethods in Computer Vision and Pattern Recognition , 2005, vol. LNCS-3757, pp. 136-152. (Pubitemid 43722931)
-
(2005)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.3757 LNCS
, pp. 136-152
-
-
Chambolle, A.1
-
15
-
-
34249819922
-
Recent developments in total variation image restoration
-
N. Paragios, Y. Chen, and O. Faugeras, Eds. Berlin, Germany: Springer Verlag
-
T. Chan, S. Esedoglu, F. Park, and M. Yip, "Recent developments in total variation image restoration," in Mathematical Models of Computer Vision, N. Paragios, Y. Chen, and O. Faugeras, Eds. Berlin, Germany: Springer Verlag, 2005.
-
(2005)
Mathematical Models of Computer Vision
-
-
Chan, T.1
Esedoglu, S.2
Park, F.3
Yip, M.4
-
16
-
-
36749031147
-
An iteratively reweighted norm algorithm for minimization of total variation functionals
-
DOI 10.1109/LSP.2007.906221
-
B. Wohlberg and P. Rodriguez, "An iteratively reweighted norm algorithm for minimization of total variation functionals," IEEE Signal Process. Lett., vol. 14, no. 12, pp. 948-951, 2007. (Pubitemid 350201251)
-
(2007)
IEEE Signal Processing Letters
, vol.14
, Issue.12
, pp. 948-951
-
-
Wohlberg, B.1
Rodriguez, P.2
-
17
-
-
85032751460
-
L1-L2 optimization in signal and image processing
-
M. Zibulevsky and M. Elad, "L1-L2 optimization in signal and image processing," IEEE Signal Process. Mag., vol. 27, no. 3, pp. 76-88, 2010.
-
(2010)
IEEE Signal Process. Mag
, vol.27
, Issue.3
, pp. 76-88
-
-
Zibulevsky, M.1
Elad, M.2
-
18
-
-
84857710417
-
Optimization with sparsity-inducing penalties
-
F. Bach, R. Jenatton, J. Mairal, and G. Obozinski, "Optimization with sparsity-inducing penalties," Found. Trends Mach. Learn., vol. 4, no. 1, pp. 1-106, 2012.
-
(2012)
Found. Trends Mach. Learn
, vol.4
, Issue.1
, pp. 1-106
-
-
Bach, F.1
Jenatton, R.2
Mairal, J.3
Obozinski, G.4
-
19
-
-
70350593691
-
Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems
-
Nov
-
A. Beck and M. Teboulle, "Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems," IEEE Trans. Image Process., vol. 18, no. 11, pp. 2419-2434, Nov. 2009.
-
(2009)
IEEE Trans. Image Process
, vol.18
, Issue.11
, pp. 2419-2434
-
-
Beck, A.1
Teboulle, M.2
-
20
-
-
79953201848
-
A first-order primal-dual algorithm for convex problems with applications to imaging
-
A. Chambolle and T. Pock, "A first-order primal-dual algorithm for convex problems with applications to imaging," J. Math. Imag. Vis., vol. 40, no. 1, pp. 120-145, 2011.
-
(2011)
J. Math. Imag. Vis
, vol.40
, Issue.1
, pp. 120-145
-
-
Chambolle, A.1
Pock, T.2
-
21
-
-
84881083126
-
A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms
-
L. Condat, "A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms," J. Optim. Theory Applicat., vol. 158, no. 2, pp. 460-479, 2013.
-
(2013)
J. Optim. Theory Applicat
, vol.158
, Issue.2
, pp. 460-479
-
-
Condat, L.1
-
22
-
-
67349189437
-
On total variation minimization and surface evolution using parametric maximal flows
-
A. Chambolle and J. Darbon, "On total variation minimization and surface evolution using parametric maximal flows," Int. J. Comput. Vis., vol. 84, no. 3, 2009.
-
(2009)
Int. J. Comput. Vis
, vol.84
, Issue.3
-
-
Chambolle, A.1
Darbon, J.2
-
23
-
-
84937928741
-
A parametric maximum flow approach for discrete total variation regularization
-
R. Lukac, Ed. Boca Raton, FL, USA: CRC/Taylor and Francis Digital Imaging and Computer Vision
-
A. Chambolle and J. Darbon, "A parametric maximum flow approach for discrete total variation regularization," in Image Processing and Analysis With Graphs: Theory and Practice, R. Lukac, Ed. Boca Raton, FL, USA: CRC/Taylor and Francis, 2012, Digital Imaging and Computer Vision.
-
(2012)
Image Processing and Analysis with Graphs: Theory and Practice
-
-
Chambolle, A.1
Darbon, J.2
-
24
-
-
84855691417
-
An efficient and effective tool for image segmentation, total variations and regularization
-
Proc. Int. Conf. Scale Space and Variational Methods in Computer Vision (SSVM)
-
D. S. Hochbaum, "An efficient and effective tool for image segmentation, total variations and regularization," in Proc. Int. Conf. Scale Space and VariationalMethods in Computer Vision (SSVM), 2011, vol. LNCS 6667, pp. 338-349.
-
(2011)
LNCS
, vol.6667
, pp. 338-349
-
-
Hochbaum, D.S.1
-
25
-
-
84859080213
-
Total variation as a local filter
-
C. Louchet and L. Moisan, "Total variation as a local filter," SIAM J. Imag. Sci., vol. 4, no. 2, pp. 651-694, 2011.
-
(2011)
SIAM J. Imag. Sci
, vol.4
, Issue.2
, pp. 651-694
-
-
Louchet, C.1
Moisan, L.2
-
26
-
-
0035608644
-
Local extremes, runs, strings and multiresolution
-
P. L. Davies and A. Kovac, "Local extremes, runs, strings and multiresolution," Ann. Statist., vol. 29, no. 1, pp. 1-65, 2001.
-
(2001)
Ann. Statist
, vol.29
, Issue.1
, pp. 1-65
-
-
Davies, P.L.1
Kovac, A.2
-
27
-
-
0031514745
-
Locally adaptive regression splines
-
E. Mammen and S. van de Geer, "Locally adaptive regression splines," Ann. Statist., vol. 25, no. 1, pp. 387-413, 1997.
-
(1997)
Ann. Statist
, vol.25
, Issue.1
, pp. 387-413
-
-
Mammen, E.1
Geer De S.Van2
-
28
-
-
33846270363
-
The equivalence of the taut string algorithm and BV-regularization
-
DOI 10.1007/s10851-006-9796-4
-
M. Grasmair, "The equivalence of the taut string algorithm and BV-regularization," J. Math. Imag. Vis., vol. 27, no. 1, pp. 59-66, 2007. (Pubitemid 46122369)
-
(2007)
Journal of Mathematical Imaging and Vision
, vol.27
, Issue.1
, pp. 59-66
-
-
Grasmair, M.1
-
29
-
-
0242526898
-
Tube methods for BV regularization
-
W. Hinterberger,M. Hintermüller, K. Kunisch, M. von Oehsen, and O. Scherzer, "Tube methods for BV regularization," J. Math. Imag. Vis., vol. 19, no. 3, pp. 219-235, 2003.
-
(2003)
J. Math. Imag. Vis
, vol.19
, Issue.3
, pp. 219-235
-
-
Hinterberger, W.1
Hintermüller, M.2
Kunisch, K.3
Von Oehsen, M.4
Scherzer, O.5
-
30
-
-
13244274395
-
On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs
-
DOI 10.1137/S0036142903422429
-
G. Steidl, J.Weickert, T. Brox, P.Mrazek, andM.Welk, "On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs," SIAM J. Numer. Anal., vol. 42, no. 2, pp. 686-713, 2004. (Pubitemid 40645211)
-
(2004)
SIAM Journal on Numerical Analysis
, vol.42
, Issue.2
, pp. 686-713
-
-
Steidl, G.1
Weickert, J.2
Brox, T.3
Mrazek, P.4
Welk, M.5
-
31
-
-
84976641351
-
Extensions of smoothing via taut strings
-
L. Dümbgen and A. Kovac, "Extensions of smoothing via taut strings," Electron. J. Statist., vol. 3, pp. 41-75, 2009.
-
(2009)
Electron. J. Statist
, vol.3
, pp. 41-75
-
-
Dümbgen, L.1
Kovac, A.2
-
32
-
-
77956206508
-
An efficient algorithm for a class of fused lasso problems
-
J. Liu, L. Yuan, and J. Ye, "An efficient algorithm for a class of fused lasso problems," in Proc. ACM SIGKDD, 2010, pp. 323-332.
-
(2010)
Proc ACM SIGKDD
, pp. 323-332
-
-
Liu, J.1
Yuan, L.2
Ye, J.3
-
33
-
-
80053439604
-
Fast Newton-type methods for total variation regularization
-
Jun
-
A. Barbero and S. Sra, "Fast Newton-type methods for total variation regularization," in Proc. Int. Conf. Mach. Learning (ICML), Jun. 2011, pp. 313-320.
-
(2011)
Proc. Int. Conf. Mach. Learning (ICML)
, pp. 313-320
-
-
Barbero, A.1
Sra, S.2
-
34
-
-
84867091929
-
An ADMM algorithm for a class of total variation regularized estimation problems
-
Jul
-
B. Wahlberg, S. Boyd, M. Annergren, and Y. Wang, "An ADMM algorithm for a class of total variation regularized estimation problems," in Proc. IFAC Symp. System Identification, Jul. 2012.
-
(2012)
Proc. IFAC Symp. System Identification
-
-
Wahlberg, B.1
Boyd, S.2
Annergren, M.3
Wang, Y.4
-
35
-
-
79952801173
-
A path algorithm for the fused lasso signal approximator
-
H. Höfling, "A path algorithm for the fused lasso signal approximator," J. Computat. Graphical Statist., vol. 19, no. 4, pp. 984-1006, 2010.
-
(2010)
J. Computat. Graphical Statist
, vol.19
, Issue.4
, pp. 984-1006
-
-
Höfling, H.1
-
36
-
-
79954994522
-
The solution path of the generalized lasso
-
R. J. Tibshirani and J. Taylor, "The solution path of the generalized lasso," Ann. Statist., vol. 39, no. 3, pp. 1335-1371, 2011.
-
(2011)
Ann. Statist
, vol.39
, Issue.3
, pp. 1335-1371
-
-
Tibshirani, R.J.1
Taylor, J.2
-
37
-
-
84884363386
-
A path algorithm for constrained estimation
-
H. Zhou and K. Lange, "A path algorithm for constrained estimation," J. Comput. Graph. Statist., vol. 22, no. 2, pp. 261-283, 2013.
-
(2013)
J. Comput. Graph. Statist
, vol.22
, Issue.2
, pp. 261-283
-
-
Zhou, H.1
Lange, K.2
-
38
-
-
13244257017
-
Nonlinear evolution equations as fast and exact solvers of estimation problems
-
DOI 10.1109/TSP.2004.840786
-
I. Pollak, A. S.Willsky, and Y. Huang, "Nonlinear evolution equations as fast and exact solvers of estimation problems," IEEE Trans. Signal Process., vol. 53, no. 2, pp. 484-498, Feb. 2005. (Pubitemid 40181745)
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.2
, pp. 484-498
-
-
Pollak, I.1
Willsky, A.S.2
Huang, Y.3
|