All Stories

  1. Scalable FBP decomposition for cone-beam CT reconstruction
  2. Backprojection inverse filtration for tomographic reconstruction
  3. Recent Advances in X-ray Cone-beam Computed Laminography
  4. Non-convexly constrained image reconstruction from nonlinear tomographic X-ray measurements
  5. k‐t FASTER: Acceleration of functional MRI data acquisition using low rank constraints
  6. Monte Carlo methods for compressed sensing
  7. The Geometry of Compressed Sensing
  8. Spatially constrained hierarchical parcellation of the brain with resting-state fMRI
  9. Compressed Sensing With Nonlinear Observations and Related Nonlinear Optimization Problems
  10. Accelerated iterative hard thresholding
  11. Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing
  12. Sampling and Reconstructing Signals From a Union of Linear Subspaces
  13. Sparse Representations in Audio and Music: From Coding to Source Separation
  14. Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance
  15. Stagewise Weak Gradient Pursuits
  16. Iterative hard thresholding for compressed sensing
  17. Dictionary Learning for Sparse Approximations With the Majorization Method
  18. A simple, efficient and near optimal algorithm for compressed sensing
  19. Parsimonious dictionary learning
  20. Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces
  21. Fast compressed-sensing reconstruction for magnetic-resonance imaging
  22. Iterative Thresholding for Sparse Approximations
  23. Gradient Pursuits
  24. Synthetic Aperture Radar raw data encoding using Compressed Sensing
  25. Faster & greedier: algorithms for sparse reconstruction of large datasets
  26. Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series
  27. Fast Encoding of Synthetic Aperture Radar Raw Data using Compressed Sensing
  28. Quantized Sparse Approximation with Iterative Thresholding for Audio Coding
  29. Iterative Hard Thresholding and L0 Regularisation
  30. Sparse representations of polyphonic music
  31. Sparse and shift-Invariant representations of music
  32. On Shift-Invariant Sparse Coding
  33. Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music
  34. Enforcing sparsity, shift-invariance and positivity in a bayesian model of polyphonic piano music
  35. Compressed Sensing and Source Separation
  36. Greedy algorithms for compressed sensing
  37. Musical audio analysis using sparse representations
  38. A Fast Importance Sampling Algorithm for Unsupervised Learning of Over-Complete Dictionaries