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A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing., , , , , , , and . IEEE Signal Process. Mag., 31 (1): 67-81 (2014)Parallel implementation of vertex component analysis for hyperspectral endmember extraction., , , , and . IGARSS, page 4078-4081. IEEE, (2012)Learning dependent sources using mixtures of Dirichlet: Applications on hyperspectral unmixing., and . WHISPERS, page 1-5. IEEE, (2009)Hyperspectral unmixing algorithm via dependent component analysis., and . IGARSS, page 4033-4036. IEEE, (2007)Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances., and . IGARSS, page 6155-6158. IEEE, (2018)Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach., , and . ICASSP (2), page 861-864. IEEE, (2006)Generalized Composite Kernel Framework for Hyperspectral Image Classification., , , , and . IEEE Trans. Geosci. Remote. Sens., 51 (9): 4816-4829 (2013)Phase imaging via sparse coding in the complex domain based on high-order svd and nonlocal BM3D techniques., , and . ICIP, page 4587-4591. IEEE, (2014)Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization., and . ICIP (1), page 105-108. IEEE, (2007)Total variation restoration of speckled images using a split-bregman algorithm., and . ICIP, page 3717-3720. IEEE, (2009)