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166 résultats
Bayesian approachesP. Comon and C. Jutten. Handbook of Blind Source Separation: ICA and Applications, Elsevier, pp.467-513, 2010
Chapitre d'ouvrage
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MCMC joint separation and segmentation of hidden Markov fields2002, pp.485-494
Communication dans un congrès
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Inverse Problems in Vision and 3D TomographyISTE-WILEY, 480 p, 2010
Ouvrages
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A hierarchical variational Bayesian approximation approach in acoustic imaging34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.572 - 579, ⟨10.1063/1.4906024⟩
Communication dans un congrès
hal-01103784v1
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A Bayesian Reinterpretation of Dynamical System Identification by Sparse Regression Methods72nd Annual APS/DFD Meeting, Nov 2019, Seattle, United States
Communication dans un congrès
hal-02411827v1
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New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first resultsThe Fifth International Conference on Image Formation in X-Ray Computed Tomography, May 2018, Salt Lake City, United States. pp.314-317
Communication dans un congrès
hal-01745746v1
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Problèmes inverses en imagerie et en visionAli Mohammad-Djafari. Problèmes inverses en imagerie et en vision en deux volumes inséparables, Lavoisier, pp.44, 2009, Traité Signal et Image, IC2
Chapitre d'ouvrage
hal-00447130v1
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Une approche bayésienne de l'inversion en imagerie micro-onde 3DLes Journées d'Imagerie Optique Non−Conventionnelle (GDR Ondes & GDR Isis), Mar 2008, Paris, France
Communication dans un congrès
hal-00444713v1
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Regularization, Bayesian Inference, and Machine Learning Methods for Inverse ProblemsEntropy, 2021, 23 (12), pp.1673. ⟨10.3390/e23121673⟩
Article dans une revue
hal-03694490v1
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Algorithmes de reconnaissance NCTR et parallélisation sur GPUTraitement du Signal, 2013, 6, pp.309-342. ⟨10.3166/TS.30.309-342⟩
Article dans une revue
hal-00930953v1
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A robust super-resolution approach for near-field wideband acoustic imaging with sparsity constraint2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2011) , Dec 2011, Bilbao, Spain. 6 p., ⟨10.1109/ISSPIT.2011.6151579⟩
Communication dans un congrès
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Aero-acoustics source separation with sparsity inducing priors in the frequency domain34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.422 - 431, ⟨10.1063/1.4906006⟩
Communication dans un congrès
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Parameter estimation for SAR micromotion target based on sparse signal representationEURASIP Journal on Advances in Signal Processing, 2012, 2012 (13), 9p. ⟨10.1186/1687-6180-2012-13⟩
Article dans une revue
hal-00779023v1
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Utilisation de la notion de copule en tomographieXXIIe colloque GRETSI, Sep 2009, France. http://documents.irevues.inist.fr/handle/2042/28915
Communication dans un congrès
hal-00444486v1
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A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detectionICIP 2014 - 21st IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.1708-1712, ⟨10.1109/ICIP.2014.7025342⟩
Communication dans un congrès
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Une approche bayésienne en tomographie micro-onde 3DRéunion inter-GdR Ondes-ISIS, Extraction d'information et physique des images : 5e Journée d'Imagerie Optique Non−Conventionnelle, Mar 2010, Paris, France
Communication dans un congrès
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TomoGPILogiciel hal-03947405v1 |
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Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian ComputationIEEE Transactions on Image Processing, 2010, 19 (9), pp.2265 - 2277. ⟨10.1109/TIP.2010.2047902⟩
Article dans une revue
hal-00494945v1
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Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priorsDigital Signal Processing, 2015, 47, pp.128 - 156. ⟨10.1016/j.dsp.2015.08.005⟩
Article dans une revue
hal-01475262v1
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Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse ProblemsEntropy, 2015, 17 (6), pp.3989-4027. ⟨10.3390/e17063989⟩
Article dans une revue
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An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noisesPOMA - ICA 2013, Jun 2013, Montreal, Canada. 055031 (9p.)
Communication dans un congrès
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Super-Resolution using Hidden Markov Model and Bayesian Detection Estimation FrameworkEurasip Journal on Applied Signal Processing, 2006, pp.10.1155/ASP/2006/36971. ⟨10.1155/ASP/2006/36971⟩
Article dans une revue
hal-00449841v1
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New copulas obtained by maximizing Tsallis or Rényi entropiesMaxEnt, Jul 2012, Garching, Germany. pp.238
Communication dans un congrès
hal-00833323v1
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Inference with the Median of a PriorEntropy, 2006, 2, pp.67-87
Article dans une revue
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Super-résolutionAli Mohammad-Djafari. Problèmes inverses en imagerie et en vision, Hermes-Lavoisier, pp.261-286, 2009, IC2: Traité Signal et Image
Chapitre d'ouvrage
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Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. ⟨10.23919/eusipco.2017.8081253⟩
Communication dans un congrès
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Preface of the 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and EngineeringInternational Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jul 2022, Paris ( France), France. pp.43, ⟨10.3390/psf2022005043⟩
Communication dans un congrès
hal-04297432v1
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Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t ModelGeometric Science of Information Second International Conference, GSI 2015, Oct 2015, Palaiseau, France. pp.723-731
Communication dans un congrès
hal-01338660v1
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Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data.European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2011, Bruges, Belgium. pp.363-368
Communication dans un congrès
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Error-Splitting Forward Model for Iterative Reconstruction in X-ray Computed Tomography and application with Gauss-Markov-Potts priorIEEE Transactions on Computational Imaging, 2019, 5 (2), pp.317 - 332. ⟨10.1109/TCI.2018.2885432⟩
Article dans une revue
hal-01948680v1
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