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Sparsity and Modern Mathematical Methods
for High Dimensional Data

Participants

  1. AELTERMAN Jan, Ghent University, Belgium.
    A Bregman iteration Algorithm for Shearlet-regularized Compressed Sensing in MRI.
  2. AL-AIFARI Reema, Johannes Kepler University Linz, Austria.
  3. ALREFAYA Musa, Vrije Universiteit Brussel, Belgium.
  4. ALZATE Carlos, Katholieke Universiteit Leuven, Belgium.
    Highly Sparse Model Representations for Kernel Spectral Clustering.
  5. ANTOINE Jean-Pierre, Institute of Theoretical Physics, Belgium.
  6. ANZENGRUBER Stephan W, Radon Institute for Computational and Applied Math, Austria.
    Morozov's Discrepancy Principle for Tikhonov-type regularization.
  7. AYAZ Ulas, Bonn University, Germany.
  8. BHOWMIK Samir Kumar, University of Amsterdam, Netherlands.
    Windowed Fourier frames applied to partial differential equation.
  9. BLEYER Ismael Rodrigo, Doktoratskolleg "Computational Mathematics", Austria.
    Regularization of linear integral equations with noisy data and noisy operator.
  10. BOURGUIGNON Sébastien, Université de Nice Sophia Antipolis - CNRS - Obser, France.
    Sparsity-based denoising and source detection in astronomical hyperspectral data with non iid noise.
  11. BOßMANN Florian, University Duisburg-Essen, Germany.
  12. CARA Philippe, Vrije Universiteit Brussel, Belgium.
  13. CHARLES Catherine, ULg, Gembloux Agro Bio Tech, Belgium.
  14. CORNELIS Bruno, Vrije Universiteit Brussel, Belgium.
  15. CUYT Annie, University of Antwerp, Belgium.
  16. DAMERVAL Christophe, Joint Research Center of the European Commission, ITALY.
    Extraction of regularity features on non-regular grids .
  17. DAUBECHIES Ingrid, Princeton University, United States.
    Titles: See programme.
  18. DE LATHAUWER Lieven, K.U.Leuven, Belgium.
    Exploiting the Intrinsic Low Dimensionality by Means of Tensor Methods.
  19. DE MOL Christine, Université Libre de Bruxelles, Belgium.
  20. DEFRISE Michel, Vrije Universiteit Brussel, Belgium.
  21. DELOUILLE Veronique, Royal Observatory of Belgium, Belgium.
  22. DOOMS Ann, Vrije Universiteit Brussel, Belgium.
  23. DREESEN Philippe, KULeuven, Belgium.
    Zero-norm minimization as a polynomial optimization problem.
  24. DYER Eva, Rice University, USA.
    Sparse Coding in Modular Networks.
  25. FILIPOVIC Marko, Rudjer Boskovic Institute, Croatia.
    Unsupervised segmentation of multispectral images by sparse component analysis .
  26. FORNASIER Massimo, Austrian Academy of Sciences, Austria.
    The mathematics of swarming and classical dimensionality reduction priciples from kinetic theory.
  27. GANDY Silvia, Tokyo Institute of Technology, Japan.
    A study of multiple measurement approaches for low-rank matrix recovery.
  28. GILLIS Nicolas, Université catholique de Louvain, Belgium.
    Dimensionality reduction, classification, and spectral mixture analysis using nonnegative underapproximation.
  29. GISSOT Samuel, Royal Observatory of Belgium, Belgium.
  30. GODARZVAND CHEGINI nabiollah, Korteweg-de Vries institute for mathematics, netherlands.
    An Adaptive Tensor Product Wavelet Scheme for solving PDE's.
  31. GOOSSENS Bart, Ghent University, Belgium.
    Solving Various Problems In Image Restoration Through Shearlet-based Regularization.
  32. GRADKOWSKI Wojciech, UCL, Belgium.
  33. HALLEZ Hans, Ghent University, Belgium.
  34. HASKOVEC Jan, Austrian Academy of Sciences, Austria.
    Mathematical methods for spectral image reconstruction.
  35. HEYLEN Rob, University of Antwerp, Belgium.
  36. HUYBRECHS Daan, KULeuven, Belgium.
    Fourier series on triangles and higher-dimensional simplices.
  37. IORDACHE Marian-Daniel, Escuela Politecnica, University of Extremadura, Ca, Spain.
    Spectral Libraries for Sparse Hyperspectral Unmixing.
  38. JACQUES Laurent, University of Louvain, Belgium.
    Dequantizing Non-Uniformly Quantized Compressed Sensing: Weight and See!.
  39. JANSEN Maarten, K.U.Leuven, Belgium.
    Minimum loss penalties for iterative soft- and hard-thresholding.
  40. JOHNSON Don, Rice University, United States.
    Title: See programme.
  41. KRAHMER Felix, Universität Bonn, Germany.
    Lower Bounds for the Error Decay in One-Bit Quantization.
  42. KUTYNIOK Gitta, Universität Osnabrück, Germany.
    Titles: See programme.
  43. LECHARLIER Loic, Université libre de Ličge Gembloux Agro Bio-Tech, Belgique.
  44. LEE Wen-shin, University of Antwerp, Belgium.
    Reconstructing a Sparse Trigonometric Polynomial.
  45. LORIS Ignace, Vrije Universiteit Brussel, Belgium.
  46. LUONG Hiep, Ghent University, België.
  47. MA Jianglin, Virje Universiteit Brussel, Belgium.
  48. MACQ Benoit, UCLouvain, Belgium.
  49. MAHMOOD Zahid, University of Antwerp, Belgium.
  50. MARY David, University of Nice Sophia Antipolis - Observatoire, FRANCE.
    Properties of thresholding functions for different sparsity-based denoising scenarios.
  51. MUNTEANU Adrian, Vrije Universiteit Brussel, Belgium.
  52. NASSIRI Vahid, VUB, Belgium.
  53. OFFTERMATT Jonas, Institute for Stochastics and Applications, Germany.
    regularization of sparse inverse problems through discretizatin - an adaptive algorithm.
  54. PIZURICA Aleksandra, Universiteit Gent, Belgium.
  55. PLATISA Ljiljana, UGent, Belgium.
    Image Blur Estimation Based on the Average Cone of Ratio in the Wavelet Domain.
  56. PORTILLA Javier, Instituto de Optica-CSIC, Spain.
    Titles: See programme.
  57. RABESON Hérald, IFP, FRANCE.
  58. RAUHUT Holger, University of Bonn, Germany.
    Sparse Legendre expansions via l1-minimization.
  59. RICHARDS Joseph, Carnegie Mellon University, USA.
    Sparse Prototyping for Astrophysical Spectra .
  60. ROBERTO Baena Gallé, University of Barcelona, Spain.
  61. ROMERO Eduardo, Universidad Nacional de Colombia, Colombia.
    Super-Resolution of Brain MR Images based on Sparse Representations.
  62. RUEDA-OLARTE Andrea, Universidad Nacional de Colombia, Colombia.
    Super-Resolution of Brain MR Images based on Sparse Representations.
  63. RUZIC Tijana, Ghent University, Belgium.
  64. SABRI Khalid, LATT-CNRS, France.
    Efficient implementation of greedy algorithms for sparse images deconvolution.
  65. SANKARANARAYANAN Aswin, Rice University, United States.
    Compressive acquisition of dynamic scenes.
  66. SCHOENTGEN Jean, Université Libre de Bruxelles, Belgium.
  67. SCHUCK JúNIOR Adalberto, UFRGS - Federal University of Rio Grande do Sul, Brasil.
  68. SCHUDDINCK Pieter, K.U.Leuven, Belgium.
  69. SHATOKHINA Iuliia, Johannes Kepler University, Austria.
  70. SIGNORETTO Marco, K.U. Leuven, Belgium.
    High Dimensional Sparse Estimation with Multiple Graphs.
  71. STOEVA Diana, Université catholique de Louvain; UACEG, Bulgaria.
  72. STORK David, Ricoh Innovations, United States.
    Titles: See programme.
  73. SUVICHAKORN Aimamorn, Universite catholique de Louvain, Belgium.
  74. TEMERINAC-OTT Maja, University of Freiburg, Institute for Computer Sci, Germany.
    Multichannel Image Restoration Based on Optimization of the Structural Similarity Index.
  75. TENORTH Stefanie, University of Duisburg-Essen, Germany.
    A Hybrid Algorithm for Image Approximation Based on the EPWT.
  76. TZAGKARAKIS George, University of Crete & Foundation for Research and, Greece.
    Bayesian Compressed Sensing using Alpha-Stable Distributions.
  77. VAN DE PLAS Raf, K.U.Leuven, Belgium.
    Wavelet approaches to enable the exploration of organic tissue via multivariate analysis of mass spectral imaging data.
  78. VAN DE VILLE Dimitri, Ecole Polytechnique Fédérale/University of Geneva, Switzerland.
    Titles: See programme.
  79. VAN HUFFEL Sabine, Katholieke Universiteit Leuven, Belgium.
    TENSOR-BASED BIOSIGNAL PROCESSING.
  80. VANDERGHEYNST Pierre, Ecole Polytechnique Fédérale, Switzerland.
    Titles: See programme.
  81. VERBEECK Cis, Royal Observatory of Belgium, Belgium.
  82. VERBEECK Nico, K.U. Leuven, Belgium.
    To be announced.
  83. VERHOEVEN Caroline, Vrije Universiteit Brussel, Belgium.
  84. VORONIN Sergey, Princeton University, United States.
    L1-regularization for Applications.
  85. ZHARIY Mariya, Johannes Kepler University Linz, Austria.
    Truncated Soft Shrinkage Iteration with Discrepancy Based Stopping Rule. Application to Inverse Problems with Data Noise..
  86. ZHU Ping, Royal Observatory of Belgium, Belgium.