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

no code implementations • 2 Oct 2014 • L. Jacques, C. De Vleeschouwer, Y. Boursier, P. Sudhakar, C. De Mol, A. Pizurica, S. Anthoine, P. Vandergheynst, P. Frossard, C. Bilen, S. Kitic, N. Bertin, R. Gribonval, N. Boumal, B. Mishra, P. -A. Absil, R. Sepulchre, S. Bundervoet, C. Schretter, A. Dooms, P. Schelkens, O. Chabiron, F. Malgouyres, J. -Y. Tourneret, N. Dobigeon, P. Chainais, C. 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, V. Duval, G. Peyré, A. Fawzi, M. Davies, N. Gillis, S. A. Vavasis, C. Soussen, L. Le Magoarou, J. Liang, J. Fadili, A. Liutkus, D. Martina, S. Gigan, L. Daudet, M. Maggioni, S. Minsker, N. Strawn, C. Mory, F. Ngole, J. -L. Starck, I. Loris, S. Vaiter, M. Golbabaee, D. Vukobratovic

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.

Dictionary Learning

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach

no code implementations • 22 Jan 2015 • A. Halimi, P. Honeine, M. Kharouf, C. Richard, J. -Y. Tourneret

Linear mixture models are commonly used to represent hyperspectral datacube as a linear combinations of endmember spectra.

Band selection in RKHS for fast nonlinear unmixing of hyperspectral images

no code implementations • 6 Mar 2015 • T. Imbiriba, J. C. M. Bermudez, C. Richard, J. -Y. Tourneret

The profusion of spectral bands generated by the acquisition process of hyperspectral images generally leads to high computational costs.