Many statistical learning methods such as matrix completion, matrix regression, and multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed ...

Overview This MATLAB project demonstrates an image processing pipeline to detect, segment, and classify coins (dimes, nickels, quarters) from a composite grayscale image using Otsu thresholding, ...

Abstract: Thresholding is considered as a statistical-decision making theory which can lessen the average error incurred in allocating pixels to two or more groups ...

@article{mousavi2016hybrid, title={Hybrid seismic denoising using higher-order statistics and improved wavelet block thresholding}, author={Mousavi, S Mostafa and Langston, Charles A}, ...