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Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters
Image reconstruction algorithms for radio interferometry are challenged to scale well with TeraByte image sizes never seen before.
A graph Laplacian regularization for hyperspectral data unmixing
This paper introduces a graph Laplacian regularization in the hyperspectral unmixing formulation.
Blind and fully constrained unmixing of hyperspectral images
This paper addresses the problem of blind and fully constrained unmixing of hyperspectral images.
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