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Sparsity and morphological diversity for hyperspectral data analysis.

J. Bobin, Y. Moudden, J. Starck, and M. Fadili. ICIP, page 1481-1484. IEEE, (2009)

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Regularizing the effect of input noise injection in feedforward neural networks training.A. Seghouane, Y. Moudden, and G. Fleury. Neural Computing and Applications, 13 (3): 248-254 (2004)Hyperspectral BSS Using GMCA With Spatio-Spectral Sparsity Constraints.Y. Moudden, and J. Bobin. IEEE Trans. Image Processing, 20 (3): 872-879 (2011)Morphological Diversity and Sparsity for Multichannel Data Restoration.J. Bobin, Y. Moudden, J. Fadili, and J. Starck. Journal of Mathematical Imaging and Vision, 33 (2): 149-168 (2009)Image Decomposition and Separation Using Sparse Representations: An Overview.M. Fadili, J. Starck, J. Bobin, and Y. Moudden. Proceedings of the IEEE, 98 (6): 983-994 (2010)Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.Y. Moudden, J. Bobin, J. Starck, and J. Fadili. ICA, volume 5441 of Lecture Notes in Computer Science, page 523-531. Springer, (2009)Sparsity and morphological diversity for hyperspectral data analysis.J. Bobin, Y. Moudden, J. Starck, and M. Fadili. ICIP, page 1481-1484. IEEE, (2009)Enhanced Source Separation by Morphological Component Analysis.J. Bobin, Y. Moudden, and J. Starck. ICASSP (5), page 833-836. IEEE, (2006)Morphological Component Analysis: An Adaptive Thresholding Strategy.J. Bobin, J. Starck, J. Fadili, Y. Moudden, and D. Donoho. IEEE Trans. Image Processing, 16 (11): 2675-2681 (2007)Sparsity and Morphological Diversity in Blind Source Separation.J. Bobin, J. Starck, J. Fadili, and Y. Moudden. IEEE Trans. Image Processing, 16 (11): 2662-2674 (2007)Morphological diversity and source separation.J. Bobin, Y. Moudden, J. Starck, and M. Elad. IEEE Signal Process. Lett., 13 (7): 409-412 (2006)

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Sparsity and morphological diversity for hyperspectral data analysis.

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PUMA

Disambiguation of "Moudden, Yassir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparsity and morphological diversity for hyperspectral data analysis.

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Sparsity and morphological diversity for hyperspectral data analysis.