Description: Tool chain to statistically detect, with a given confidence, anisotropic growth in fingerprints and its preferred axis based on minutiae patterns.

Description: Computations of entropy regularized Wasserstein Distances, a.k.a. dual-Sinkhorn divergences, and entropy regularized Wasserstein Barycenters.

Description: Computing an entropic version of the Gromov-Wasserstein distance.

Description: A deterministic sparse FFT algorithm (FAST) for functions with block-structured Fourier sparsity.

Description: This project includes the MiSeal algorithm for separating a given minutiae pattern into necessary and random minutiae. Moreover, we provide a graphical tool for investigating a selected number of a fingerprint's features such as its orientation field (OF), ridge frequency as well as its OFs divergence field and the intensity of necessary minutiae within patches.

Description: This package implements the Multiscale Nemirovski-Dantzig estimator (MIND) and its related estimators for nanparametric regression and statistical inverse problems.

Description: Takes two input Pgrids and a tranport plan between the two and generates a gif showing the mass transported at a specified range of transport lengths.

Description: Sample from the limiting distributions of empirical Wasserstein distances under the null hypothesis and under the alternative. Perform a two-sample test on multivariate data using these limiting distributions and binning.

Description: A Region Based EPWT-like method for Sparse Image Representation.

Description: An R Package containing the Spherical Branch and Bound (SBB) algorithm for computing Fréchet means for the circle and the 2-sphere equipped with the arc length as metric. Moreover, a wrapper for computing Fréchet means on more general spaces, provided corresponding branch and bound rules, is provided.

Description: Computation and visualization of the (semi-discrete) optimal transport for the Euclidean cost function from a continuous to a discrete measure.

Description: This package implements the estimator SLAM.

Description: This project includes an R package containing an algorithm to compute a maximum pseudo-likelihood estimator for the superposition of a Strauss process (possibly with hard core) and a Poisson process.

Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet–Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.

Description: Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics.

Description: This package computes Principal Geodesics and Barycenters in the 2-Wasserstein-Space to perform PCA on images.

Description: Includes a variety of methods to compute objects related to the 'Wasserstein distance' (also known as 'Kantorovich distance' or 'Earth-Mover distance'). The main effort of this package is to allow for computations of 'Wasserstein barycenter' using regularised, unregularised and stochastic methods. It also provides convenient wrappers to call the 'transport' package with more general inputs. Handy visual tools are provided to showcase, barycenters, animations of optimal transport geodesics and animations of principal components in the 'Wasserstein space'.