3 papers
stat.ML2025
Fast and Exact Least Absolute Deviations Line Fitting via Piecewise Affine Lower-Bounding
Stefan Volz, Martin Storath, Andreas Weinmann
Least-absolute-deviations (LAD) line fitting is robust to outliers but computationally more involved than least squares regression. Although the literature includes linear and near…
eess.IV2025
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers
Tim Selig, Thomas März, Martin Storath +1
Computed tomography from a low radiation dose (LDCT) is challenging due to high noise in the projection data. Popular approaches for LDCT image reconstruction are two-stage methods…
stat.ME2025
Degrees-of-freedom penalized piecewise regression
Stefan Volz, Martin Storath, Andreas Weinmann
Many popular piecewise regression models rely on minimizing a cost function on the model fit with a linear penalty on the number of segments. However, this penalty does not take in…