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Found 3 papers, 1 papers with code
Deep Kronecker Network
As such, we propose DKN, that is able to i) adapt to low sample size limitation, ii) provide desired model interpretation, and iii) achieve the prediction power as CNN.
Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression
This paper aims to present the first Frequentist framework on signal region detection in high-resolution and high-order image regression problems.
Projected Robust PCA with Application to Smooth Image Recovery
For image data related matrix recovery problems, approximate low-rankness and smoothness are the two most commonly imposed structures.
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