RED is adapted to graph signals with deep unrolling for parameter estimation, yielding lower MSE than prior graph denoising methods on synthetic and real data.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups.IEEE Signal Processing Magazine, 29(6):82–97
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Coarsening smart meter load profile granularity produces two performance plateaus in socio-demographic inference (15 min–1 h and 1–7 days), enabling data minimization strategies that preserve some predictive utility.
citing papers explorer
-
Graph Signal Denoising Using Regularization by Denoising and Its Parameter Estimation
RED is adapted to graph signals with deep unrolling for parameter estimation, yielding lower MSE than prior graph denoising methods on synthetic and real data.