Linear Regression Without Correspondences via Concave Minimization
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DOI: 10.1109/lsp.2020.3019693
Abstract: Linear regression without correspondences concerns the recovery of a signal in the linear regression setting, where the correspondences between the observations and the linear functionals are unknown. The associated maximum likelihood function is NP-hard to… read more here.
Keywords: regression without; concave minimization; without correspondences; linear regression ... See more keywords