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Found 4 papers, 1 papers with code
Bounds on mutual information of mixture data for classification tasks
To conclude, we evaluate the performance of the bounds and estimators through numerical simulations.
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images
We show empirically that our algorithm yields reconstructions with higher PSNRs compared to iterative algorithms at low measurement rates and in presence of measurement noise.
ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements
The intermediate reconstruction is fed into an off-the-shelf denoiser to obtain the final reconstructed image.
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
The intermediate reconstruction is fed into an off-the-shelf denoiser to obtain the final reconstructed image.
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