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Found 4 papers, 2 papers with code
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment.
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
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties
In this paper, we propose a proximal splitting methodology with a non-convex penalty function based on the heavy-tailed Cauchy distribution.
