Markov Random Fields for Vision and Image Processing, 2011. ,
Machine Learning: A Signal and Information Processing Perspective, 2014. ,
Optimization with Sparsity-Inducing Penalties, Foundations and Trends?? in Machine Learning, vol.4, issue.1, pp.1-106, 2012. ,
DOI : 10.1561/2200000015
URL : https://hal.archives-ouvertes.fr/hal-00613125
Convex Analysis, 1970. ,
DOI : 10.1515/9781400873173
Convex Optimization, 2004. ,
Combettes, Convex Analysis and Monotone Operator Theory in Hilbert Spaces, 2011. ,
Proximit?? et dualit?? dans un espace hilbertien, Bulletin de la Société mathématique de France, vol.79, pp.273-299, 1965. ,
DOI : 10.24033/bsmf.1625
URL : http://archive.numdam.org/article/BSMF_1965__93__273_0.pdf
Proximal splitting methods in signal processing, " in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212 ,
Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators Set-Valued Var, Anal, vol.20, issue.2, pp.307-330, 2012. ,
Markov Random Field Modeling in Image Analysis, 2009. ,
DOI : 10.1007/978-4-431-67044-5
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies, Computer Vision and Image Understanding, vol.112, issue.1, pp.14-29, 2008. ,
DOI : 10.1016/j.cviu.2008.06.007
URL : https://hal.archives-ouvertes.fr/hal-00918699
MRF Energy Minimization and Beyond via Dual Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.3, pp.531-552, 2011. ,
DOI : 10.1109/TPAMI.2010.108
URL : https://hal.archives-ouvertes.fr/hal-00856311
MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.11, pp.3697-3717, 2005. ,
DOI : 10.1109/TIT.2005.856938
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey, Computer Vision and Image Understanding, vol.117, issue.11, pp.1610-1627, 2013. ,
DOI : 10.1016/j.cviu.2013.07.004
URL : https://hal.archives-ouvertes.fr/hal-00858390
Approximation Algorithms, 2001. ,
DOI : 10.1007/978-3-662-04565-7
Approximation Algorithms for NP-hard Problems, 1997. ,
Augmented Lagrangian Methods: Applications to the Numerical Solution of Boundary-Value Problems, 1983. ,
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Foundations and Trends?? in Machine Learning, vol.3, issue.1, pp.1-122, 2011. ,
DOI : 10.1561/2200000016
Basic theory, of Series of Comprehensive Studies in Mathematics, 2006. ,
Proximal Algorithms, Foundations and Trends?? in Optimization, vol.1, issue.3, pp.123-231, 2013. ,
DOI : 10.1561/2400000003
Regression shrinkage and selection via the lasso, J. Royal Stat. Soc. B, vol.58, issue.1, pp.267-288, 1996. ,
An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, pp.21-30, 2008. ,
DOI : 10.1109/MSP.2007.914731
Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992. ,
DOI : 10.1016/0167-2789(92)90242-F
Introduction to Linear Optimization, Athena Scientific, 1997. ,
A dual algorithm for the solution of nonlinear variational problems via finite element approximation, Computers & Mathematics with Applications, vol.2, issue.1, pp.17-40, 1976. ,
DOI : 10.1016/0898-1221(76)90003-1
Positive deconvolution for superimposed extended source and point sources, Astronomy and Astrophysics, vol.439, issue.1, p.401412, 2005. ,
DOI : 10.1051/0004-6361:20047011
The Split Bregman Method for L1-Regularized Problems, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.323-343, 2009. ,
DOI : 10.1137/080725891
Deconvolution of Poissonian images using variable splitting and augmented Lagrangian optimization, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, p.4, 2009. ,
DOI : 10.1109/SSP.2009.5278459
Restoration of Poissonian Images Using Alternating Direction Optimization, IEEE Transactions on Image Processing, vol.19, issue.12, pp.3133-3145, 2010. ,
DOI : 10.1109/TIP.2010.2053941
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011. ,
DOI : 10.1109/TIP.2010.2076294
A primal-dual algorithmic framework for constrained convex minimization, 2014. ,
On the linear convergence of the alternating direction method of multipliers, Mathematical Programming, vol.5, issue.1-2, 2013. ,
DOI : 10.1007/s10915-015-0150-0
On the Douglas???Rachford splitting method and the proximal point algorithm for maximal monotone operators, Mathematical Programming, vol.29, issue.1, pp.293-318, 1992. ,
DOI : 10.1007/BF01581204
A Douglas???Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery, IEEE Journal of Selected Topics in Signal Processing, vol.1, issue.4, pp.564-574, 2007. ,
DOI : 10.1109/JSTSP.2007.910264
URL : https://hal.archives-ouvertes.fr/hal-00621820
A Douglas-Rachford type primal-dual method for solving inclusions with mixtures of composite and parallel-sum type monotone operators, SIAM J. Optim, vol.23, issue.4, pp.2541-2565, 2013. ,
A proximal-based decomposition method for convex minimization problems, Mathematical Programming, vol.29, issue.1-3, pp.81-101, 1994. ,
DOI : 10.1007/BF01582566
Signal Recovery by Proximal Forward-Backward Splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005. ,
DOI : 10.1137/050626090
URL : https://hal.archives-ouvertes.fr/hal-00017649
Subgradient Methods for Saddle-Point Problems, Journal of Optimization Theory and Applications, vol.86, issue.1, pp.205-228, 2009. ,
DOI : 10.1007/s10957-009-9522-7
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics, vol.58, issue.11, pp.1413-1457, 2004. ,
DOI : 10.1002/cpa.20042
Convergence Rate Analysis of the Forward-Douglas-Rachford Splitting Scheme, SIAM Journal on Optimization, vol.25, issue.3, 2014. ,
DOI : 10.1137/140992291
A Primal???Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms, Journal of Optimization Theory and Applications, vol.23, issue.1???2 ,
DOI : 10.1007/s10957-012-0245-9
URL : https://hal.archives-ouvertes.fr/hal-00609728
A splitting algorithm for dual monotone inclusions involving cocoercive operators, Adv. Comput. Math, vol.38, issue.3, pp.667-681, 2013. ,
A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011. ,
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science, SIAM Journal on Imaging Sciences, vol.3, issue.4, pp.1015-1046, 2010. ,
DOI : 10.1137/09076934X
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective, SIAM Journal on Imaging Sciences, vol.5, issue.1, pp.119-149, 2012. ,
DOI : 10.1137/100814494
Diagonal preconditioning for first order primal-dual algorithms in convex optimization, 2011 International Conference on Computer Vision ,
DOI : 10.1109/ICCV.2011.6126441
Variable metric forward???backward splitting with applications to monotone inclusions in duality, Optimization, vol.76, issue.9, pp.1289-1318, 2014. ,
DOI : 10.1137/S1052623494250415
URL : https://hal.archives-ouvertes.fr/hal-01076989
Adaptive primal-dual hybrid gradient methods for saddle-point problems, 2013. ,
A forward-backward view of some primal-dual optimization methods in image recovery, 2014 IEEE International Conference on Image Processing (ICIP), pp.27-30, 2014. ,
DOI : 10.1109/ICIP.2014.7025841
URL : https://hal.archives-ouvertes.fr/hal-01098038
Convergence rates with inexact nonexpansive operators, 2014. ,
On a generalization of the iterative soft-thresholding algorithm for the case of non-separable penalty, Inverse Problems, vol.27, issue.12, p.125007, 2011. ,
DOI : 10.1088/0266-5611/27/12/125007
A primal???dual fixed point algorithm for convex separable minimization with applications to image restoration, Inverse Problems, vol.29, issue.2, p.25011, 2013. ,
DOI : 10.1088/0266-5611/29/2/025011
Dualization of signal recovery problems Set-Valued Var, Anal, vol.18, pp.373-404, 2010. ,
A variational formulation for frame-based inverse problems, Inverse Problems, vol.23, issue.4, pp.1495-1518, 2007. ,
DOI : 10.1088/0266-5611/23/4/008
URL : https://hal.archives-ouvertes.fr/hal-00621883
A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1085-1088, 2012. ,
DOI : 10.1109/ICASSP.2012.6288075
URL : https://hal.archives-ouvertes.fr/hal-00687634
A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings, SIAM Journal on Control and Optimization, vol.38, issue.2, pp.431-446, 2000. ,
DOI : 10.1137/S0363012998338806
A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality, SIAM Journal on Optimization, vol.21, issue.4, pp.1230-1250, 2011. ,
DOI : 10.1137/10081602X
Systems of Structured Monotone Inclusions: Duality, Algorithms, and Applications, SIAM Journal on Optimization, vol.23, issue.4, pp.2420-2447, 2013. ,
DOI : 10.1137/130904160
URL : https://hal.archives-ouvertes.fr/hal-00800511
Convergence analysis for a primal-dual monotone + skew splitting algorithm with applications to total variation minimization, J. Math. Imaging Vision, vol.49, issue.3, pp.551-568, 2014. ,
Solving Coupled Composite Monotone Inclusions by Successive Fej??r Approximations of their Kuhn--Tucker Set, SIAM Journal on Optimization, vol.24, issue.4, 2015. ,
DOI : 10.1137/130950616
An algorithm for splitting parallel sums of linearly composed monotone operators, with applications to signal recovery, Nonlinear Convex Anal, vol.15, issue.1, pp.137-159, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00825885
A proximal decomposition method for solving convex variational inverse problems, Inverse Problems, vol.24, issue.6, 2008. ,
DOI : 10.1088/0266-5611/24/6/065014
URL : https://hal.archives-ouvertes.fr/hal-00692901
A parallel inertial proximal optimization method, Pac. J. Optim, vol.8, issue.2, pp.273-305, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00790702
Deblurring Poissonian images by split Bregman techniques, Journal of Visual Communication and Image Representation, vol.21, issue.3, pp.193-199, 2010. ,
DOI : 10.1016/j.jvcir.2009.10.006
Generalized roof duality and bisubmodular functions, Proc. Ann. Conf. Neur. Inform. Proc. Syst, pp.6-9, 2010. ,
DOI : 10.1016/j.dam.2011.10.026
Generalized roof duality, Discrete Applied Mathematics, vol.160, issue.16-17, pp.16-17, 2012. ,
DOI : 10.1016/j.dam.2012.06.009
Combinatorial Optimization: Algorithms and Complexity, Englewoods Cliffs, N.J, 1982. ,
Approximate Labeling via Graph Cuts Based on Linear Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.8, pp.1436-1453, 2007. ,
DOI : 10.1109/TPAMI.2007.1061
MRF Optimization via Dual Decomposition: Message-Passing Revisited, 2007 IEEE 11th International Conference on Computer Vision ,
DOI : 10.1109/ICCV.2007.4408890
Approximation algorithms for the metric labeling problem via a new linear programming formulation, 12 th Annual ACM-SIAM Symposium on Discrete Algorithms, pp.7-9, 2001. ,
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 1988. ,
Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1568-1583, 2006. ,
DOI : 10.1109/TPAMI.2006.200
A Linear Programming Approach to Max-Sum Problem: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.7, pp.1165-1179, 2007. ,
DOI : 10.1109/TPAMI.2007.1036
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations, Proc. Ann ,
Linear programming relaxations and belief propagation ? an empirical study, Journal of Machine Learning Research, vol.7, pp.1887-1907, 2006. ,
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference, IEEE Transactions on Information Theory, vol.56, issue.12, pp.6294-6316, 2010. ,
DOI : 10.1109/TIT.2010.2079014
Reflection methods for user-friendly submodular optimization, Proc. Ann. Conf. Neur. Inform. Proc. Syst, pp.5-10, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00905258
Polynomial-time exact inference in NP-hard binary MRFs via reweighted perfect matching, 13-th International Conference on Artificial Intelligence and Statistics (AISTATS), Chia Laguna Resort, pp.13-15, 2010. ,
Submodular decomposition framework for inference in associative Markov networks with global constraints, CVPR 2011, pp.21-23, 2011. ,
DOI : 10.1109/CVPR.2011.5995361
Tightening MRF relaxations with planar subproblems, Conference on Uncertainty in Artificial Intelligence, pp.14-17, 2011. ,
Tightening LP relaxations for MAP using message passing, Conference on Uncertainty in Artificial Intelligence, pp.9-12, 2008. ,
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles, Proc. European Conference on Computer Vision, pp.12-18, 2008. ,
DOI : 10.1007/978-3-540-88690-7_60
URL : https://hal.archives-ouvertes.fr/hal-00918715
Pseudo-Boolean optimization, Discrete Applied Mathematics, vol.123, issue.1-3, pp.155-225, 2002. ,
DOI : 10.1016/S0166-218X(01)00341-9
URL : https://hal.archives-ouvertes.fr/hal-01150533
What energy functions can be minimized via graph cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.147-159, 2004. ,
DOI : 10.1109/TPAMI.2004.1262177
Fast and smooth: Accelerated dual decomposition for MAP inference, International Conference on Machine Learning, pp.21-24, 2010. ,
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling, CVPR 2011, pp.21-23, 2011. ,
DOI : 10.1109/CVPR.2011.5995652
Efficient MRF energy minimization via adaptive diminishing smoothing, Conference on Uncertainty in Artificial Intelligence, pp.15-17, 2012. ,
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization, IEEE Transactions on Image Processing, vol.20, issue.9, pp.2450-2462, 2011. ,
DOI : 10.1109/TIP.2011.2128335
URL : https://hal.archives-ouvertes.fr/hal-00826121
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction, SIAM Journal on Imaging Sciences, vol.3, issue.3, pp.253-276, 2010. ,
DOI : 10.1137/090746379
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.1059
On the Convergence of Primal???Dual Hybrid Gradient Algorithms for Total Variation Image Restoration, Journal of Mathematical Imaging and Vision, vol.47, issue.2, pp.236-253, 2012. ,
DOI : 10.1007/s10851-011-0324-9
A penalized weighted least squares approach for restoring data corrupted with signaldependent noise, Proc. Eur. Sig. and Image Proc. Conference, pp.27-31, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00733786
Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems, 4th International Conference on Scale-Space and Variational Methods in Computer Vision, A. Kuijper et al, pp.125-136, 2013. ,
DOI : 10.1007/978-3-642-38267-3_11
-divergence constraints, Inverse Problems, vol.29, issue.3, p.35007, 2013. ,
DOI : 10.1088/0266-5611/29/3/035007
URL : https://hal.archives-ouvertes.fr/hal-00868432
First Order Algorithms in Variational Image Processing, 2014. ,
DOI : 10.1007/978-3-319-41589-5_10
Dual Constrained TV-based Regularization on Graphs, SIAM Journal on Imaging Sciences, vol.6, issue.3, pp.1246-1273, 2013. ,
DOI : 10.1137/120895068
URL : https://hal.archives-ouvertes.fr/hal-00743968
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging???, Medical Image Analysis, vol.15, issue.2, pp.185-201, 2011. ,
DOI : 10.1016/j.media.2010.08.001
URL : https://hal.archives-ouvertes.fr/hal-00692260
A Majorize-Minimize Memory Gradient method for complex-valued inverse problems, Special issue on Image Restoration and Enhancement: Recent Advances and Applications, pp.285-295, 2014. ,
DOI : 10.1016/j.sigpro.2013.09.026
URL : https://hal.archives-ouvertes.fr/hal-00829788
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces, 2014. ,
A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.26-31, 2013. ,
DOI : 10.1109/ICASSP.2013.6638822
Primal-dual algorithms for audio decomposition using mixed norms, Image and Video Proc, pp.95-110, 2014. ,
DOI : 10.1007/s11760-013-0472-z
Optimal Transport with Proximal Splitting, SIAM Journal on Imaging Sciences, vol.7, issue.1, pp.212-238, 2014. ,
DOI : 10.1137/130920058
URL : https://hal.archives-ouvertes.fr/hal-00816211
Empirical mode decomposition revisited by multicomponent non-smooth convex optimization, Signal Processing, vol.102, pp.313-331, 2014. ,
DOI : 10.1016/j.sigpro.2014.03.014
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal, IEEE Transactions on Signal Processing, vol.62, issue.16, pp.4256-4269, 2014. ,
DOI : 10.1109/TSP.2014.2331614
URL : https://hal.archives-ouvertes.fr/hal-00914628
Proximal operator of quotient functions with application to a feasibility problem in query optimization, Journal of Computational and Applied Mathematics, vol.285, 2014. ,
DOI : 10.1016/j.cam.2015.02.030
URL : https://hal.archives-ouvertes.fr/hal-00942453
Stability and Performance Limits of Adaptive Primal-Dual Networks, IEEE Transactions on Signal Processing, vol.63, issue.11, 2014. ,
DOI : 10.1109/TSP.2015.2415759
A comparative study of modern inference techniques for discrete energy minimization problems, IEEE Conference on Computer Vision and Pattern Recognition, pp.25-27, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00865699
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.6, pp.1068-1080, 2008. ,
DOI : 10.1109/TPAMI.2007.70844
Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001. ,
DOI : 10.1109/34.969114
Parallel and distributed vision algorithms using dual decomposition, Computer Vision and Image Understanding, vol.115, issue.12, pp.1721-1732, 2011. ,
DOI : 10.1016/j.cviu.2011.06.012
Joint optimization of segmentation and appearance models, 2009 IEEE 12th International Conference on Computer Vision, pp.755-762, 2009. ,
DOI : 10.1109/ICCV.2009.5459287
A convex relaxation approach for computing minimal partitions, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.20-25, 2009. ,
DOI : 10.1109/CVPR.2009.5206604
A global perspective on MAP inference for low-level vision, 2009 IEEE 12th International Conference on Computer Vision, pp.2319-2326, 2009. ,
DOI : 10.1109/ICCV.2009.5459434
Convex relaxation techniques for segmentation, stereo and multiview reconstruction, Markov Random Fields for Vision and Image Processing, 2011. ,
Joint 3D Scene Reconstruction and Class Segmentation, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.25-27, 2013. ,
DOI : 10.1109/CVPR.2013.20
A Dual Decomposition Approach to Feature Correspondence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.2, pp.259-271, 2013. ,
DOI : 10.1109/TPAMI.2012.105
Intrinsic dense 3D surface tracking, CVPR 2011, pp.21-23, 2011. ,
DOI : 10.1109/CVPR.2011.5995513
URL : https://hal.archives-ouvertes.fr/hal-00856137
Optical flow estimation with uncertainties through dynamic MRFs, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.24-26, 2008. ,
DOI : 10.1109/CVPR.2008.4587562
Efficiently selecting regions for scene understanding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.13-18, 2010. ,
DOI : 10.1109/CVPR.2010.5540072
MRF-Based Blind Image Deconvolution, Proc. Asian Conference on Computer Vision, pp.5-9, 2012. ,
DOI : 10.1007/978-3-642-37431-9_28
URL : https://hal.archives-ouvertes.fr/hal-00856285
New algorithms for convex cost tension problem with application to computer vision, Discrete Optimization, vol.6, issue.4, pp.378-393, 2009. ,
DOI : 10.1016/j.disopt.2009.04.006
Diverse M-Best Solutions in Markov Random Fields, Proc. European Conference on Computer Vision, pp.1-16, 2012. ,
DOI : 10.1007/978-3-642-33715-4_1
Motion Coherent Tracking Using Multi-label MRF Optimization, International Journal of Computer Vision, vol.27, issue.10, pp.190-202, 2012. ,
DOI : 10.1007/s11263-011-0512-5
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies, Computer Vision and Image Understanding, vol.112, issue.1, pp.14-29, 2008. ,
DOI : 10.1016/j.cviu.2008.06.007
URL : https://hal.archives-ouvertes.fr/hal-00918699
Dense image registration through MRFs and efficient linear programming???, Medical Image Analysis, vol.12, issue.6, pp.731-741, 2008. ,
DOI : 10.1016/j.media.2008.03.006
Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods, Annual Review of Biomedical Engineering, vol.13, issue.1, pp.219-244, 2011. ,
DOI : 10.1146/annurev-bioeng-071910-124649
URL : https://hal.archives-ouvertes.fr/hal-00858380
Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999. ,
DOI : 10.1109/42.796284
A Convex Formulation of Continuous Multi-label Problems, Proc. European Conference on Computer Vision, pp.12-18, 2008. ,
DOI : 10.1007/978-3-540-88690-7_59
Beyond pairwise energies: Efficient optimization for higher-order MRFs, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.20-25, 2009. ,
DOI : 10.1109/CVPR.2009.5206846
A primal-dual method for higher-order multilabel Markov random fields, IEEE Conference on Computer Vision and Pattern Recognition, pp.24-27, 2014. ,
Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP, Proc. European Conference on Computer Vision, pp.17-30, 2012. ,
DOI : 10.1007/978-3-642-33715-4_2