research
∙
11/23/2022
Smoothing splines for discontinuous signals
Smoothing splines are standard methods of nonparametric regression for o...
share
research
∙
09/12/2020
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography
We consider reconstructing multi-channel images from measurements perfor...
research
∙
12/03/2018
Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements -- the multivariate case
Signals and images with discontinuities appear in many problems in such ...
research
∙
08/01/2018
Wavelet Sparse Regularization for Manifold-Valued Data
In this paper, we consider the sparse regularization of manifold-valued ...
research
∙
04/27/2018
Variational Regularization of Inverse Problems for Manifold-Valued Data
In this paper, we consider the variational regularization of manifold-va...
research
∙
02/06/2018
Fast Piecewise-Affine Motion Estimation Without Segmentation
Current algorithmic approaches for piecewise affine motion estimation ar...
research
∙
11/20/2017
Learning Steerable Filters for Rotation Equivariant CNNs
In many machine learning tasks it is desirable that a model's prediction...
research
∙
08/01/2017
Model-based learning of local image features for unsupervised texture segmentation
Features that capture well the textural patterns of a certain class of i...
research
∙
10/07/2014
Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging
Mumford-Shah and Potts functionals are powerful variational models for r...
research
∙
12/30/2013