-
1
-
-
0001300995
-
Regularization of incorrectly posed problems
-
A Tikhonov, Regularization of incorrectly posed problems. Soviet Math Dokl. 4, 1624-1627 (1963)
-
(1963)
Soviet Math Dokl.
, vol.4
, pp. 1624-1627
-
-
Tikhonov, A.1
-
2
-
-
0003511819
-
-
MIR, Moscu, Russia, Éditions
-
A Tikhonov, V Arénine, Méthodes de Résolution de Problémes Mal Posés, (MIR, Moscu, Russia, 1976). Éditions
-
(1976)
Méthodes de Résolution de Problémes Mal Posés
-
-
Tikhonov, A.1
Arénine, V.2
-
3
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
DOI 10.1002/cpa.20042
-
I Daubechies, M Defrise, CD Mol, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Comm Pure Appl Math. 57, 1413-1457 (2004). doi:10.1002/cpa.20042 (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
-
4
-
-
33645712892
-
Compressive sampling
-
DL Donoho, Compressive sampling. IEEE Trans Inf Theory. 52(4), 1289-1306 (2006)
-
(2006)
IEEE Trans Inf Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
5
-
-
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
-
JA Tropp, AC Gilbert, MJ Strauss, Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit. Signal Processing, special issue "sparse approximations in signal and image processing". 86, 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
-
6
-
-
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
-
JA Tropp, Algorithms for simultaneous sparse approximation. Part II: Convex relaxation. Signal Process (special issue "Sparse approximations in signal and image processing"). 86, 589-602 (2006) (Pubitemid 43106573)
-
(2006)
Signal Processing
, vol.86
, Issue.3
, pp. 589-602
-
-
Tropp, J.A.1
-
7
-
-
84864045468
-
-
Cambridge, MA: MIT Press
-
R Zass, A Shashua, in Nonnegative Sparse PCA, vol. 19. (Cambridge, MA: MIT Press, 2007), pp. 1561-1568
-
(2007)
Nonnegative Sparse PCA
, vol.19
, pp. 1561-1568
-
-
Zass, R.1
Shashua, A.2
-
8
-
-
57349174008
-
Enhancing sparsity by reweighted l1 minimization
-
doi:10.1007/s00041-008-9045-x
-
EJ Candés, M Wakin, S Boyd, Enhancing sparsity by reweighted l1 minimization. J Fourier Anal Appl. 14, 877-905 (2008). doi:10.1007/s00041-008- 9045-x
-
(2008)
J Fourier Anal Appl.
, vol.14
, pp. 877-905
-
-
Candés, E.J.1
Wakin, M.2
Boyd, S.3
-
9
-
-
70149096300
-
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
-
doi:10.1093/biostatistics/kxp008
-
DM Witten, R Tibshirani, T Hastie, A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics. 10(3), 515-534 (2009). doi:10.1093/biostatistics/kxp008
-
(2009)
Biostatistics
, vol.10
, Issue.3
, pp. 515-534
-
-
Witten, D.M.1
Tibshirani, R.2
Hastie, T.3
-
10
-
-
84874717922
-
-
Tech rep, preprint Hal-00627452
-
S Vaiter, G Peyré, C Dossal, J Fadili, Robust Sparse Analysis Reg-ularization. Tech rep, preprint Hal-00627452 http://hal.archives-ouvertes. fr/hal-00627452/ (2011)
-
(2011)
Robust Sparse Analysis Reg-ularization
-
-
Vaiter, S.1
Peyré, G.2
Dossal, C.3
Fadili, J.4
-
11
-
-
84872979573
-
Learning analysis sparsity priors
-
G Peyré, J Fadili, Learning Analysis Sparsity Priors. Proc of Sampta' 11 http://hal.archives-ouvertes.fr/hal-00542016/ (2011)
-
(2011)
Proc of Sampta'11
-
-
Peyré, G.1
Fadili, J.2
-
12
-
-
0000673452
-
Bayesian regularization and pruning using a Laplace prior
-
P Williams, Bayesian regularization and pruning using a Laplace prior. Neural Comput. 71, 117-143 (1995)
-
(1995)
Neural Comput.
, vol.71
, pp. 117-143
-
-
Williams, P.1
-
13
-
-
0000130839
-
Bayesian variable selection in linear regression
-
doi:10.2307/2290129
-
T Mitchell, J Beauchamp, Bayesian variable selection in linear regression. J Am Stat Assoc. 83(404), 1023 (1988). doi:10.2307/2290129
-
(1988)
J Am Stat Assoc.
, vol.83
, Issue.404
, pp. 1023
-
-
Mitchell, T.1
Beauchamp, J.2
-
14
-
-
79957438558
-
Shrink globally, act locally: Sparse Bayesian regularization and prediction
-
N Polson, J Scott, Shrink globally, act locally: sparse Bayesian regulariza-tion and prediction. Bayesian Stat. 9, 1-24 (2010)
-
(2010)
Bayesian Stat.
, vol.9
, pp. 1-24
-
-
Polson, N.1
Scott, J.2
-
15
-
-
0027277319
-
On the estimation of hyperparameters in Bayesian approach of solving inverse problems
-
Minneapolis, MN, USA
-
A Mohammad-Djafari, On the estimation of hyperparameters in Bayesian approach of solving inverse problems, in Proc IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-93, vol. 5. (Minneapolis, MN, USA, 1993), pp. 495-498
-
(1993)
Proc IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-93
, vol.5
, pp. 495-498
-
-
Mohammad-Djafari, A.1
-
16
-
-
0030384188
-
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems
-
Lausanne, Swisse
-
A Mohammad-Djafari, Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems, in IEEE Int Conf on Image Processing (ICIP), IEEE ICIP 96, vol. II. (Lausanne, Swisse, 1996), pp. 473-477
-
(1996)
IEEE Int Conf on Image Processing (ICIP), IEEE ICIP 96
, vol.2
, pp. 473-477
-
-
Mohammad-Djafari, A.1
-
17
-
-
0002788893
-
A view of the EM algorithm that justifies incremental, sparse, and other variants
-
R Neal, G Hinton, A view of the EM algorithm that justifies incremental, sparse, and other variants. Learn Graph Models. 89, 355-368 (1998)
-
(1998)
Learn Graph Models
, vol.89
, pp. 355-368
-
-
Neal, R.1
Hinton, G.2
-
18
-
-
0031101750
-
Bayesian estimation of state-space models applied to deconvolution of Bernoulli-Gaussian processes
-
PII S0165168496001922
-
A Doucet, P Duvaut, Bayesian estimation of state-space models applied to deconvolution of Bernoulli-Gaussian processes. Signal Process. 57(2), 147-161 (1997). doi:10.1016/S0165-1684 (96) 00192-2 (Pubitemid 127403390)
-
(1997)
Signal Processing
, vol.57
, Issue.2
, pp. 147-161
-
-
Doucet, A.1
Duvaut, P.2
-
19
-
-
49549105778
-
The Bayesian lasso
-
doi:10.1198/016214508000000337
-
T Park, G Casella, The Bayesian Lasso. J Am Stat Assoc. 103(482), 681-686 (2008). doi:10.1198/016214508000000337
-
(2008)
J Am Stat Assoc.
, vol.103
, Issue.482
, pp. 681-686
-
-
Park, T.1
Casella, G.2
-
20
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
DOI 10.1162/15324430152748236
-
M Tipping, Sparse Bayesian learning and the relevance vector machine. J Mach Learn Res. 1, 211-244 (2001) (Pubitemid 33687203)
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.3
, pp. 211-244
-
-
Tipping, M.E.1
-
21
-
-
34347404627
-
A Bayesian aproach for blind separation of sparse source
-
C Févotte, S Godsill, A Bayesian aproach for blind separation of sparse source. IEEE Trans Audio Speech Lang Process. 14, 2174-2188 (2006)
-
(2006)
IEEE Trans Audio Speech Lang Process
, vol.14
, pp. 2174-2188
-
-
Févotte, C.1
Godsill, S.2
-
23
-
-
78650337471
-
Inference with normal-gamma prior distributions in regression problems
-
J Griffin, P Brown, Inference with normal-gamma prior distributions in regression problems. Bayesian Anal. 5, 171-188 (2010)
-
(2010)
Bayesian Anal.
, vol.5
, pp. 171-188
-
-
Griffin, J.1
Brown, P.2
-
24
-
-
33947270567
-
Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures
-
DOI 10.1109/TSP.2006.877660
-
H Snoussi, J Idier, Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures. IEEE Trans Signa Process. 54, 3257-3269 (2006) (Pubitemid 46414207)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.9
, pp. 3257-3269
-
-
Snoussi, H.1
Idier, J.2
-
25
-
-
22944460748
-
Spike and slab variable selection: Frequentist and bayesian strategies
-
DOI 10.1214/009053604000001147
-
H Ishwaran, JS Rao, Spike and slab variable selection: frequentist and Bayesian strategies. Ann Stat. 33(2), 730-733 (2005). doi:10.1214/ 009053604000001147 (Pubitemid 41053721)
-
(2005)
Annals of Statistics
, vol.33
, Issue.2
, pp. 730-773
-
-
Ishwaran, H.1
Rao, J.S.2
-
26
-
-
67149143365
-
Factor analysis latent subspace modeling and robust fuzzy clustering using t-distributionsclassification of binary random patterns
-
S Chatzis, T Varvarigou, Factor analysis latent subspace modeling and robust fuzzy clustering using t-distributionsclassification of binary random patterns. IEEE Trans Fuzzy Syst. 17, 505-517 (2009)
-
(2009)
IEEE Trans Fuzzy Syst.
, vol.17
, pp. 505-517
-
-
Chatzis, S.1
Varvarigou, T.2
-
27
-
-
0027624429
-
Generalized Gaussian image model for edge-preserving MAP estimation
-
DOI 10.1109/83.236536
-
CA Bouman, KD Sauer, A generalized Gaussian image model for edgepreserving MAP estimation. IEEE Trans Image Process. 2(3), 296-310 (1993). doi:10.1109/83.236536 (Pubitemid 23697158)
-
(1993)
IEEE Transactions on Image Processing
, vol.2
, Issue.3
, pp. 296-310
-
-
Bouman Charles1
Sauer Ken2
-
28
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
DOI 10.1111/j.1467-9868.2005.00503.x
-
H Zou, T Hastie, Regularization and variable selection via the elastic net. J Royal Stat Soc, Ser, B. 67(2), 301-320 (2005). doi:10.1111/j.1467-9868. 2005.00503.x (Pubitemid 40465877)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
-
29
-
-
84872918850
-
Parameter estimation for SAR micromotion target based on sparse signal representation
-
S Zhu, A Mohammad-Djafari, H Wang, B Deng, X Li, J Mao, Parameter estimation for SAR micromotion target based on sparse signal representation. Eurasip special issue "Sparse approximations in signal and image processing". 13 (2012)
-
(2012)
Eurasip Special Issue "Sparse Approximations in Signal and Image processing"
, pp. 13
-
-
Zhu, S.1
Mohammad-Djafari, A.2
Wang, H.3
Deng, B.4
Li, X.5
Mao, J.6
-
30
-
-
5644286501
-
-
Traité IC2, Série traitement du signal et de l'image, Hermés, Paris
-
J Idier, Approche Bayésienne Pour les Problémes Inverses, (Traité IC2, Série traitement du signal et de l'image, Hermés, Paris, 2001)
-
(2001)
Approche Bayésienne pour les Problémes Inverses
-
-
Idier, J.1
-
31
-
-
0030393877
-
Unsupervised deconvolution of sparse spike trains using stochastic approximation
-
PII S1053587X96090551
-
F Champagnat, Y Goussard, J Idier, Unsupervised deconvolution of sparse spike trains using stochastic approximation. IEEE Trans Signal Process. 44(12), 2988-2998 (1996). doi:10.1109/78.553473 (Pubitemid 126778045)
-
(1996)
IEEE Transactions on Signal Processing
, vol.44
, Issue.12
, pp. 2988-2998
-
-
Champagnat, F.1
Goussard, Y.2
Idier, J.3
-
32
-
-
70349475424
-
A new MCMC algorithm for blind Bernoulli-Gaussian deconvolution
-
Lausanne, Suisse
-
D Ge, J Idier, E Le Carpentier, A new MCMC algorithm for blind Bernoulli-Gaussian deconvolution, Proceedings of EUSIPCO: Septembre 2008, (Lausanne, Suisse, 2008)
-
(2008)
Proceedings of EUSIPCO: Septembre 2008
-
-
Ge, D.1
Idier, J.2
Le Carpentier, E.3
-
33
-
-
0020126947
-
Maximum-likelihood detection and estimation of Bernoulli-Gaussian processes
-
doi:10.1109/TIT.1982.1056496
-
JJ Kormylo, JM Mendel, Maximum-likelihood detection and estimation of Bernoulli-Gaussian processes. IEEE Trans Inf Theory. 28, 482-488 (1982). doi:10.1109/TIT.1982.1056496
-
(1982)
IEEE Trans Inf Theory
, vol.28
, pp. 482-488
-
-
Kormylo, J.J.1
Mendel, J.M.2
-
34
-
-
0027635089
-
Bayesian deconvolution of Bernoulli-Gaussian processes
-
M Lavielle, Bayesian deconvolution of Bernoulli-Gaussian processes. Signal Process. 33, 67-79 (1993)
-
(1993)
Signal Process
, vol.33
, pp. 67-79
-
-
Lavielle, M.1
-
35
-
-
69249086984
-
Gauss-Markov-Potts priors for images in computer tomography resulting to joint optimal reconstruction and segmentation
-
A Mohammad-Djafari, Gauss-Markov-Potts priors for images in computer tomography resulting to joint optimal reconstruction and segmentation. Int J Tomography Stat. 11(W09), 76-92 http://djafari.free.fr/pdf/IJTS08.pdf (2008)
-
(2008)
Int J Tomography Stat.
, vol.11
, pp. 76-92
-
-
Mohammad-Djafari, A.1
-
36
-
-
84872979956
-
GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction
-
Salt Lake City, Utah, USA
-
N Gac, A Vabre, A Mohammad-Djafari, F Buyens, GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction, Proceedings of the first International Conference on Image Formation in X-Ray Computed Tomography, (Salt Lake City, Utah, USA, 2010)
-
(2010)
Proceedings of the First International Conference on Image Formation in X-Ray Computed Tomography
-
-
Gac, N.1
Vabre, A.2
Mohammad-Djafari, A.3
Buyens, F.4
-
37
-
-
77954078474
-
Bayesian inversion for optical diffraction tomography
-
doi:10.1080/09500340903564702
-
H Ayasso, B Duchne, A Mohammad-Djafari, Bayesian inversion for optical diffraction tomography. J Modern Opt. 57(9), 765-776 (2010). doi:10.1080/09500340903564702
-
(2010)
J Modern Opt.
, vol.57
, Issue.9
, pp. 765-776
-
-
Ayasso, H.1
Duchne, B.2
Mohammad-Djafari, A.3
-
38
-
-
77955781188
-
Joint NDT image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation
-
H Ayasso, A Mohammad-Djafari, Joint NDT image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. IEEE Trans. Image Process. 19(9), 2265-2277 http://dx.doi.org/10. 1109/TIP.2010.2047902 (2010)
-
(2010)
IEEE Trans. Image Process
, vol.19
, Issue.9
, pp. 2265-2277
-
-
Ayasso, H.1
Mohammad-Djafari, A.2
-
40
-
-
84856240266
-
A discrete-continuous Bayesian model for emission tomography
-
Bruxell, Belgium
-
MD Fall, ?É? Barat, C Comtat, T Dautremer, T Montagu, A Mohammad-Djafari, A discrete-continuous Bayesian model for emission tomography, IEEE International Conference on Image Processing (ICIP), (Bruxell, Belgium, 2011), pp. 1401-1404
-
(2011)
IEEE International Conference on Image Processing (ICIP)
, pp. 1401-1404
-
-
Fall, M.D.1
Barat, É.2
Comtat, C.3
Dautremer, T.4
Montagu, T.5
Mohammad-Djafari, A.6
-
41
-
-
28544440194
-
Microwave imaging of inhomogeneous objects made of a finite number of dielectric and conductive materials from experimental data
-
DOI 10.1088/0266-5611/21/6/S08, PII S026656110598341X
-
O Féron, B Duchêne, A Mohammad-Djafari, Microwave imaging of inhomogeneous objects made of a finite number of dielectric and conductive materials from experimental data. Inverse Probl. 21(6), 95-115 http://djafari.free.fr/pdf/ (2005). doi:10.1088/0266-5611/21/6/S08 (Pubitemid 41744522)
-
(2005)
Inverse Problems
, vol.21
, Issue.6
-
-
Feron, O.1
Duchene, B.2
Mohammad-Djafari, A.3
-
42
-
-
34548842756
-
Microwave imaging of piecewise constant objects in a 2D-TE configuration
-
OIPE 2006
-
O Féron, B Duchêne, A Mohammad-Djafari, Microwave imaging of piecewise constant objects in a 2D-TE configuration. Int J Appl Electromag Mech. 26(6), 167-174 http://djafari.free.fr/pdf/jae00905.pdf (2007) (Pubitemid 47443006)
-
(2007)
International Journal of Applied Electromagnetics and Mechanics
, vol.26
, Issue.3-4
, pp. 167-174
-
-
Feron, O.1
Duchene, B.2
Mohammad-Djafari, A.3
-
43
-
-
2342569641
-
Fast joint separation and segmentation of mixed images
-
doi:10.1117/1.1666873
-
H Snoussi, A Mohammad-Djafari, Fast joint separation and segmentation of mixed images. J Electron Imag. 13(2), 349-361 http://djafari.free.fr/pdf/ (2004). doi:10.1117/1.1666873
-
(2004)
J Electron Imag.
, vol.13
, Issue.2
, pp. 349-361
-
-
Snoussi, H.1
Mohammad-Djafari, A.2
-
44
-
-
3543071602
-
Bayesian unsupervised learning for source separation with mixture of Gaussians prior
-
H Snoussi, A Mohammad-Djafari, Bayesian unsupervised learning for source separation with mixture of Gaussians prior. J VLSI Signal Process Syst. 37(2/3), 263-279 http://djafari.free.fr/pdf/VLSIpapar.pdf (2004)
-
(2004)
J VLSI Signal Process Syst.
, vol.37
, Issue.2-3
, pp. 263-279
-
-
Snoussi, H.1
Mohammad-Djafari, A.2
-
45
-
-
84872955036
-
Bayesian source separation: Beyond PCA and ICA
-
Belgium
-
A Mohammad-Djafari, Bayesian source separation: beyond PCA and ICA, in ESANN 2006, (Belgium, 2006) http://djafari.free.fr/pdf
-
(2006)
ESANN 2006
-
-
Mohammad-Djafari, A.1
-
46
-
-
33745611158
-
Hidden Markov models for wavelet-based blind source separation
-
DOI 10.1109/TIP.2006.877068
-
M Ichir, A Mohammad-Djafari, Hidden Markov models for wavelet-based blind source separation. IEEE Trans Image Process. 15(7), 1887-1899 (2006) (Pubitemid 43985069)
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.7
, pp. 1887-1899
-
-
Ichir, M.M.1
Mohammad-Djafari, A.2
-
47
-
-
0036535033
-
Regulariza-tion, maximum entropy and probabilistic methods in mass spectrometry data processing problems
-
doi:10.1016/S1387-3806 01 00562-0
-
A Mohammad-Djafari, J Giovannelli, G Demoment, J Idier, Regulariza-tion, maximum entropy and probabilistic methods in mass spectrometry data processing problems. Int J Mass Spectrom. 215(1-3), 175-193 http://djafari.free.fr/pdf/ maspec12013.pdf (2002). doi:10.1016/S1387-3806 (01) 00562-0
-
(2002)
Int J Mass Spectrom
, vol.215
, Issue.1-3
, pp. 175-193
-
-
Mohammad-Djafari, A.1
Giovannelli, J.2
Demoment, G.3
Idier, J.4
-
48
-
-
33750402597
-
Separation of non-negative mixture of non-negative sources using a Bayesian approach and MCMC sampling
-
DOI 10.1109/TSP.2006.880310
-
S Moussaoui, D Brie, A Mohammad-Djafari, C Carteret, Separation of nonnegative mixture of non-negative sources using a Bayesian approach and MCMC sampling. IEEE Trans Signal Process. 54(11), 4133-4145 (2006) (Pubitemid 44637747)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.11
, pp. 4133-4145
-
-
Moussaoui, S.1
Brie, D.2
Mohammad-Djafari, A.3
Carteret, C.4
-
49
-
-
39549088344
-
Bayesian approach with Hidden Markov modeling and mean field approximation for hyperspectral data analysis
-
DOI 10.1109/TIP.2007.914227
-
N Bali, A Mohammad-Djafari, Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis. IEEE Trans Image Process. 17(2), 217-225 (2008) (Pubitemid 351279249)
-
(2008)
IEEE Transactions on Image Processing
, vol.17
, Issue.2
, pp. 217-225
-
-
Bali, N.1
Mohammad-Djafari, A.2
-
50
-
-
33645738721
-
Super-resolution using hidden Markov model and bayesian detection estimation framework
-
Special number on Super-Resolution Imaging: Analysis, Algorithms, and Applications, doi=10.1155/ASP/2006/36971, Article ID 36971
-
F Humblot, A Mohammad-Djafari, Super-resolution using hidden Markov model and bayesian detection estimation framework, in EURASIP J Appl Signal Process, vol. 16. (Special number on Super-Resolution Imaging: Analysis, Algorithms, and Applications, 2006) http://www.hindawi.com/GetArticle.aspx? doi=10.1155/ASP/ 2006/36971. Article ID 36971
-
(2006)
EURASIP J Appl Signal Process
, vol.16
-
-
Humblot, F.1
Mohammad-Djafari, A.2
-
51
-
-
77955797326
-
Super-resolution: A short review, a new method based on hidden Markov modeling of HR image and future challenges
-
A Mohammad-Djafari, Super-resolution: a short review, a new method based on hidden Markov modeling of HR image and future challenges. Comput J http://djafari.free.fr/pdf/bxn005v1.pdf (2008)
-
(2008)
Comput J
-
-
Mohammad-Djafari, A.1
-
52
-
-
78651273630
-
Joint super-resolution and segmentation from a set of low resolution images using a Bayesian approach with a Gauss-Markov-Potts prior
-
doi:10.1504/IJSISE.2010.038017
-
M Mansouri, A Mohammad-Djafari, Joint super-resolution and segmentation from a set of low resolution images using a Bayesian approach with a Gauss-Markov-Potts prior. Int J Signal Imag Syst Eng. 3(4), 211-221 (2010). doi:10.1504/IJSISE.2010.038017
-
(2010)
Int J Signal Imag Syst Eng.
, vol.3
, Issue.4
, pp. 211-221
-
-
Mansouri, M.1
Mohammad-Djafari, A.2
-
53
-
-
23444449865
-
Image fusion and joint segmentation using an MCMC algorithm
-
paper no. 023014
-
O Féron, A Mohammad-Djafari, Image fusion and joint segmentation using an MCMC algorithm. J Electron Imag. 14 (2) http://arxiv.org/abs/physics/ 0403150 (2005). paper no. 023014
-
(2005)
J Electron Imag.
, vol.14
, Issue.2
-
-
Féron, O.1
Mohammad-Djafari, A.2
-
54
-
-
33644653930
-
Unsupervised Bayesian wavelet domain segmentation using a Potts-Markov random field modeling
-
P Brault, A Mohammad-Djafari, Unsupervised Bayesian wavelet domain segmentation using a Potts-Markov random field modeling. J Electron Imag. 14 (4) http://djafari.free.fr/pdf/ (2005). 043011-1-043011-16
-
(2005)
J Electron Imag.
, vol.14
, Issue.4
, pp. 0430111-04301116
-
-
Brault, P.1
Mohammad-Djafari, A.2
|