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Found 2 papers, 1 papers with code
Representation Learning via Cauchy Convolutional Sparse Coding
In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an \(\ell_2\)-norm fidelity term and a sparsity enforcing penalty.
Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior
The Cauchy distribution is known to be able to capture heavy-tails in the data, which are linked to sparse processes.
Image and Video Processing
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