We introduce a new nonsmooth variational model for the restoration of manifold-valued data
which includes second order differences in the regularization term. While such models were …

* A special volume devoted principally to therole of the late Sir Charles Oatley in the
development of the scanning electron microscopeings* It contains historical articles and …

The paper addresses the generalization of the half-quadratic minimization method for the
restoration of images having values in a complete Riemannian manifold. We recall the half …

We show on imaging mass spectrometry (IMS) data that the Random Forest classifier can be
used for automated tissue classification and that it results in predictions with high …

We are interested in restoring images having values in a symmetric Hadamard manifold by
minimizing a functional with a quadratic data term and a total variation--like regularizing …

Spatial histogram* of Local Binary Pattern (LBP) and Local Gabor Binary Pattern (LGBP) has
been successfully applied to face recognition and achieved state-of-the-art performance …

We develop a concept for the median filtering of tensor data. The main part of this concept is
the definition of median for symmetric matrices. This definition is based on the minimisation …

An important problem in medical image analysis is the segmentation of anatomical regions
of interest. Once regions of interest are segmented, one can extract shape, appearance, and …

We extend the well-known scalar image bilateral filtering technique to diffusion tensor
magnetic resonance images (DTMRI). The scalar version of bilateral image filtering is …

Generative modeling over natural images is one of the most fundamental machine learning
problems. However, few modern generative models, including Wasserstein Generative …