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Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data.

, , , , and . WHISPERS, page 1-5. IEEE, (2018)

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A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy., , , , and . ICASSP, page 4245-4249. IEEE, (2019)Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties., , and . ICASSP, page 3171-3175. IEEE, (2014)Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources., , , and . MLSP, page 1-6. IEEE, (2016)Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data., , , , and . WHISPERS, page 1-5. IEEE, (2018)Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy., , , and . EUSIPCO, page 1641-1645. IEEE, (2015)Markovian Source Separation in Post-nonlinear Mixtures., , and . ICA, volume 3195 of Lecture Notes in Computer Science, page 702-709. Springer, (2004)Weight Freezing in Constructive Neural Networks: A Novel Approach., and . IWANN (2), volume 1607 of Lecture Notes in Computer Science, page 11-20. Springer, (1999)Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals., and . ISSPA, page 1-4. IEEE, (2007)A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model., , , , and . ICASSP, page 3356-3360. IEEE, (2016)Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures., , and . Signal Process., 91 (4): 793-800 (2011)