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Found 2 papers, 2 papers with code
Semi-Blind Source Separation with Learned Constraints
BSS problems being ill-posed, the resolution requires efficient regularization schemes to better distinguish between the sources and yield interpretable solutions.
Joint deconvolution and unsupervised source separation for data on the sphere
This becomes highly challenging when applied to large data sampled on the sphere such as those provided by wide-field observations in astrophysics, whose analysis requires the design of dedicated robust and yet effective algorithms.
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