All Stories

  1. Radar emitters classification and clustering with a scale mixture of Normal distributions
  2. Variational Bayesian inversion of electromagnetic geophysical data
  3. Joint reconstruction and segmentation in 3D Computed Tomography
  4. X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework
  5. Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography
  6. Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction
  7. X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model
  8. Approximate Bayesian computation for machine learning, inverse problems and big data
  9. Bayesian X-ray computed tomography using a three-level hierarchical prior model
  10. Computed tomography reconstruction based on a hierarchical model and variational Bayesian method
  11. A hierarchical variational Bayesian approximation approach in acoustic imaging
  12. Aero-acoustics source separation with sparsity inducing priors in the frequency domain
  13. Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model
  14. A Gauss-Markov mixture prior model for a variational Bayesian approach to microwave breast imaging
  15. Inverse scattering in a Bayesian framework: application to microwave imaging for breast cancer detection
  16. A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging
  17. Algorithmes de reconnaissance NCTR et parallélisation sur GPU
  18. Inverse Problems in Vision and 3D Tomography
  19. Image Separation
  20. Super-Resolution
  21. Gauss-Markov-Potts Prior for Bayesian Inversion in Microwave Imaging
  22. Surface Reconstruction from Tomography Data
  23. Introduction to Inverse Problems in Imaging and Vision
  24. Bayesian inference tools for inverse problems
  25. An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noises
  26. Variational Bayesian approximation with scale mixture prior for inverse problems: A numerical comparison between three algorithms
  27. New copulas obtained by maximizing Tsallis or Rényi entropies
  28. A novel hierarchical bayesian method for SAR image reconstruction
  29. Maximum Entropies Copulas
  30. Bayesian Knowledge Fusion in Prognostics and Health Management—A Case Study
  31. Signals and Images Foreground∕Background Joint Estimation and Separation
  32. A Bayesian approach to Fourier Synthesis inverse problem with application in SAR imaging
  33. Particle Filtering on Riemannian Manifolds
  34. Yet Another Analysis of Dice Problems
  35. Wavelet Domain Image Separation
  36. Bayesian inference for inverse problems
  37. A Bayesian approach to source separation
  38. Blind deconvolution approach for resolution enhancement of near-field microwave images
  39. From deterministic to probabilistic approaches to solve inverse problems