In this project we initiate an investigation of the applicability of Quasi-Monte Carlo methods to lattice field theories in order to improve the asymptotic error behavior of observables for such theories. In most cases the ...

Time-of-flight (ToF) cameras are an evolving technology, finding applications in a wide range of fields, including machine vision, automotive applications, face or hand recognition, and human-robot collaboration. A setup ...

Multilayer graphs consist of several graphs, called layers, where the vertex set of all layers is the same but each layer has an individual edge set. They are motivated by real-world problems where entities (vertices) are ...

In scientific research, spectroscopy and diffraction experimental techniques are widely used and produce huge amounts of spectral data. Learning patterns from spectra is critical during these experiments. This provides ...

Die digitale Signalverarbeitung hat sich zu einem akzeptierten, eigenständigen Wissenschaftsgebiet entwickelt. Das dokumentieren nicht zuletzt die zahlreichen Lehrbücher. Ein Standardwissen hat sich etabliert, mit dem viele ...

We introduce a path-integral formulation of network-based measures that generalize the concept of geodesic distance and that provides fundamental insights into the dynamics of disease transmission as well as an efficient ...

In everyday life, people seek, evaluate, and use online sources to underpin opinions and make decisions. While education must promote the skills people need to critically question the sourcing of online information, it is ...

Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors ...

The affective state of an individual can be determined using physiological parameters; an important metric that can then be extracted is attention. Looking more closely at compact EEGs, algorithms have been implemented in ...