Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)

Laura C Jacques, C. De Vleeschouwer, Y. Boursier, P. Sudhakar, Christine van Mol, A. Pizurica, S. Anthoine, Pierre Vandergheynst, J. P. Frossard, C. Bilen, S. Kitic, N. Bertin, R. Gribonval, N. Boumal, Bud Mishra, P.-A. Absil, Rodolphe Sepulchre, S. Bundervoet, C. Schretter, A. DoomsP. Schelkens, O. Chabiron, F. Malgouyres, J.-Y. Tourneret, N. Dobigeon, P. Chainais, Carlos Richard, B. Cornelis, I. Daubechies, D. Dunson, M. Dankova, P. Rajmic, K. Degraux, V. Cambareri, B. Geelen, G. Lafruit, G. Setti, J.-F. Determe, J. Louveaux, F. Horlin, A. Drémeau, P. Heas, C. Herzet, C.V. Duval, Gabriel Peyré, A Fawzi, N. Gillis, S. A. Vavasis, C. Soussen, L. Le Magoarou, Junbin Liang, Jalal M. Fadili, A. Liutkus, D. Martina, S. Gigan, L. Daudet, Mauro Maggioni, S. Minsker, N. Strawn, C. Mory, F. Ngole, J. -L. Starck, I. Loris, Samuel Vaiter, M. Golbabaee, D. Vukobratovic

Research output: Contribution to conferencePaperpeer-review

Abstract

The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between international scientific teams by disseminating ideas through both specific oral/poster presentations and free discussions. For its second edition, the iTWIST workshop took place in the medieval and picturesque town of Namur in Belgium, from Wednesday August 27th till Friday August 29th, 2014. The workshop was conveniently located in "The Arsenal" building within walking distance of both hotels and town center. iTWIST'14 has gathered about 70 international participants and has featured 9 invited talks, 10 oral presentations, and 14 posters on the following themes, all related to the theory, application and generalization of the "sparsity paradigm": Sparsity-driven data sensing and processing; Union of low dimensional subspaces; Beyond linear and convex inverse problem; Matrix/manifold/graph sensing/processing; Blind inverse problems and dictionary learning; Sparsity and computational neuroscience; Information theory, geometry and randomness; Complexity/accuracy tradeoffs in numerical methods; Sparsity? What's next?; Sparse machine learning and inference.
Original languageEnglish
Publication statusPublished - 1 Oct 2014

Keywords / Materials (for Non-textual outputs)

  • Computer Science - Numerical Analysis
  • Computer Science - Computer Vision and Pattern Recognition
  • Computer Science - Information Theory
  • Computer Science - Learning
  • Mathematics - Optimization and Control
  • Mathematics - Statistics Theory

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