RCUMP: Residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3374093
Abstract: Deep unrolling-based snapshot compressive imaging (SCI) methods, which employ iterative formulas to construct interpretable iterative frameworks and embedded learnable modules, have achieved remarkable success in reconstructing 3-dimensional (3D) hyperspectral images (HSIs) from 2D measurement induced… read more here.
Keywords: residual completion; compressive imaging; mixed priors; snapshot compressive ... See more keywords
Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
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DOI: 10.3390/e24101328
Abstract: In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Bayes factor and is helpful for the informative priors, as… read more here.
Keywords: bayes factor; test; frequentist analysis; frequentist ... See more keywords