Variational bayesian Kalman filtering in dynamical tomography, Proc. IEEE ICASSP (Prague), pp.4004-4007, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00601132
Chirplet Based Denoising of Reflected RADAR Signals, 2009 Third Asia International Conference on Modelling & Simulation, pp.304-308, 2009. ,
DOI : 10.1109/AMS.2009.54
Variational Bayesian Blind Deconvolution Using a Total Variation Prior, IEEE Transactions on Image Processing, vol.18, issue.1, pp.12-26, 2009. ,
DOI : 10.1109/TIP.2008.2007354
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.3195
Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis, IEEE Transactions on Image Processing, vol.17, issue.2, pp.217-225, 2008. ,
DOI : 10.1109/TIP.2007.914227
URL : https://hal.archives-ouvertes.fr/hal-00449832
Knowledge-aided stap in heterogeneous clutter using a hierarchical bayesian algorithm, Aerospace and Electronic Systems, IEEE Transactions on, vol.47, issue.3, pp.1863-1879, 2011. ,
A sliding-window online fast variational sparse Bayesian learning algorithm, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2128-2131, 2011. ,
DOI : 10.1109/ICASSP.2011.5946747
Variational Bayesian Image Restoration Based on a Product of <formula formulatype="inline"><tex Notation="TeX">$t$</tex></formula>-Distributions Image Prior, IEEE Transactions on Image Processing, vol.17, issue.10, pp.1795-1805, 2008. ,
DOI : 10.1109/TIP.2008.2002828
A Gradient Descent Solution to the Monge-Kantorovich Problem, Applied Math. Sciences, 2009. ,
Variational methods for bayesian independent component analysis, 2002. ,
Image reconstruction and restoration: overview of common estimation structures and problems, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.12, pp.37-2024, 1989. ,
DOI : 10.1109/29.45551
On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000. ,
DOI : 10.1023/A:1008935410038
Functional Bregman Divergence and Bayesian Estimation of Distributions, IEEE Transactions on Information Theory, vol.54, issue.11, pp.5130-5139, 2008. ,
DOI : 10.1109/TIT.2008.929943
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function, IEEE Transactions on Image Processing, vol.17, issue.1, pp.16-26, 2008. ,
DOI : 10.1109/TIP.2007.911819
URL : https://hal.archives-ouvertes.fr/hal-00879198
Exponentiated gradient algorithms for log-linear structured prediction, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.305-312, 2007. ,
DOI : 10.1145/1273496.1273535
Maximum a posteriori dectection-estimation of Bernoulli-Gaussian processes, Mathematics in Signal Processing II, 1990. ,
Hidden Markov models for wavelet-based blind source separation, IEEE Transactions on Image Processing, vol.15, issue.7, pp.1887-1899, 2006. ,
DOI : 10.1109/TIP.2006.877068
URL : https://hal.archives-ouvertes.fr/hal-00449843
Optimality of KLT for high-rate transform coding of gaussian vectorscale mixtures : Application to reconstruction, estimation, and classification, IEEE Trans. on Info. Theory, 2006. ,
An Introduction to Variational Methods for Graphical Models, Machine Learning, vol.37, issue.2, pp.183-233, 1999. ,
DOI : 10.1007/978-94-011-5014-9_5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.3844
Principles of computerized tomographic imaging, 1988. ,
Measure theoretic versions of linear programming, Mathematische Zeitschrift, vol.7, issue.3, pp.367-400, 1988. ,
DOI : 10.1007/BF01184672
Exponentiated Gradient versus Gradient Descent for Linear Predictors, Information and Computation, vol.132, issue.1, pp.1-63, 1997. ,
DOI : 10.1006/inco.1996.2612
URL : http://doi.org/10.1006/inco.1996.2612
Information theory, inference, and learning algorithms Ensemble learning and evidence maximization, 1995. ,
Joint detection-estimation of brain activity in functional MRI: a Multichannel Deconvolution solution, IEEE Transactions on Signal Processing, vol.53, issue.9, pp.3488-3502, 2005. ,
DOI : 10.1109/TSP.2005.853303
Ensemble learning for independent component analysis, 2000. ,
Tangent Sets in the Space of Measures: With Applications to Variational Analysis, Journal of Mathematical Analysis and Applications, vol.249, issue.2, pp.539-552, 2000. ,
DOI : 10.1006/jmaa.2000.6906
Steepest descent algorithms in a space of measures, Statistics and Computing, vol.12, issue.2, pp.115-123, 2002. ,
DOI : 10.1023/A:1014878317736
Variational Bayesian Learning for Mixture Autoregressive Models With Uncertain-Order, IEEE Transactions on Signal Processing, vol.59, issue.6, pp.2614-2627, 2011. ,
DOI : 10.1109/TSP.2011.2128310
Algorithms in tomography, The State of the Art in Numerical Analysis, Clarendon Press, duff, i.s. and watson, g.a, 1997. ,
Smooth minimization of non-smooth functions, Mathematical Programming, vol.269, issue.1, pp.127-152, 2005. ,
DOI : 10.1007/s10107-004-0552-5
Numerical optimization, Series in Operations Research, 2000. ,
DOI : 10.1007/b98874
Best network chirplet chain: Near-optimal coherent detection of unmodeled gravitational wave chirps with a network of detectors, Physical Review D, vol.77, issue.6, pp.1-22, 2008. ,
DOI : 10.1103/PhysRevD.77.062005
Simulations par la méthode MCMC, Economica, 1997. ,
Monte-Carlo statistical methods, 2000. ,
Real and complex analysis, 1987. ,
Bayesian inference and optimal design for sparse linear model, Jour. of Machine Learning Research, vol.9, pp.759-813, 2008. ,
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models, SIAM Journal on Imaging Sciences, vol.4, issue.1, pp.166-199, 2011. ,
DOI : 10.1137/090758775
Variational Bayesian Inference Techniques, IEEE Signal Processing Magazine, vol.27, issue.6, pp.81-91, 2010. ,
DOI : 10.1109/MSP.2010.938082
URL : http://infoscience.epfl.ch/record/161294
Fast adaptive variational sparse Bayesian learning with automatic relevance determination, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2180-2183, 2011. ,
DOI : 10.1109/ICASSP.2011.5946760
The variational bayes method in signal processing, Variational bayesian filtering, pp.5020-5030, 2006. ,
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior, The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology, vol.37, issue.2/3, pp.263-279, 2004. ,
DOI : 10.1023/B:VLSI.0000027490.49527.47
On the convergence of the exponential multiplier method for convex programming, Mathematical Programming, vol.14, issue.1-3, pp.1-19, 1993. ,
DOI : 10.1007/BF01580598
Scale Mixtures of Gaussians and the statistics of natural images, NIPS, vol.12, 2000. ,
Inverse synthetic aperture radar imaging of maneuvering targets based on chirplet decomposition, Optical Engineering, vol.38, issue.9, p.1534, 1999. ,
DOI : 10.1117/1.602204
Sparse Bayesian Learning for Basis Selection, IEEE Transactions on Signal Processing, vol.52, issue.8, pp.2153-2164, 2004. ,
DOI : 10.1109/TSP.2004.831016
L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, vol.27, issue.3, pp.76-88, 2010. ,
DOI : 10.1109/MSP.2010.936023
URL : https://hal.archives-ouvertes.fr/inria-00567455