papers

Publications (13)

cs.CV2022

Reliable Detection of Doppelgängers based on Deep Face Representations

Christian Rathgeb, Daniel Fischer, Pawel Drozdowski +1

Doppelgängers (or lookalikes) usually yield an increased probability of false matches in a facial recognition system, as opposed to random face image pairs selected for non-mated…

physics.atom-ph2014

Electron and recoil ion momentum imaging with a magneto-optically trapped target

Renate Hubele, Michael Schuricke, Johannes Goullon +15

A reaction microscope (ReMi) has been combined with a magneto-optical trap (MOT) for the kinematically complete investigation of atomic break-up processes. With the novel MOTReMi a…

math.NA2026

Kernel-based learning of manifold-to-manifold maps from scattered data

Daniel Fischer, Holger Wendland

We describe and analyze new methods for approximating manifold-to-manifold maps using only scattered data information. To this end, we first study kernel-based approximation method…

cond-mat.mtrl-sci2014

Polar State in Freestanding Strontium Titanate Nanoparticles

Trevor A. Tyson, Tian Yu, Mark Croft +6

Monodispersed strontium titanate nanoparticles were prepared and studied in detail. It is found that ~10 nm as-prepared stoichiometric nanoparticles are in a polar structural state…

physics.atom-ph2025

Time-resolved 3D momentum spectroscopy in continuous wave atomic photoionization

Kevin L. Romans, Bishnu P. Acharya, A. H. Nishshanka. C. De Silva +3

An experimental continuous-wave (cw) pump-probe scheme is demonstrated by investigating the population and photoionization dynamics of an atomic system. Specifically, Li atoms…

cond-mat.mtrl-sci2012

Molecular beam growth of graphene nanocrystals on dielectric substrates

Ulrich Wurstbauer, Theanne Schiros, Cherno Jaye +9

We demonstrate the growth of graphene nanocrystals by molecular beam methods that employ a solid carbon source, and that can be used on a diverse class of large area dielectric sub…

physics.atom-ph2026

A delay-programmable two-color femtosecond source for multiphoton ionization studies based on chirped-seed NOPA

Kyle Foster, Shruti Majumdar, Mason Toombs +2

We demonstrate a delay-programmable two-color femtosecond source based on a chirped-seed noncollinear optical parametric amplifier. Introducing controlled dispersion into the seed…

physics.atom-ph2025

A Continuous Pump-Probe Experiment to Observe Zeeman Wave Packet Dynamics

Kevin L. Romans, Kyle Foster, Shruti Majumdar +4

In this work, we study the coherent dynamics of an atomic Zeeman wave packet using a continuous pump--probe scheme. A polarized wave packet is generated via few-photon excitation b…

stat.CO2016

Computing the Oja Median in R: The Package OjaNP

Daniel Fischer, Karl Mosler, Jyrki Möttönen +3

The Oja median is one of several extensions of the univariate median to the multivariate case. It has many nice properties, but is computationally demanding. In this paper, we firs…

cs.AI2024

Demystifying Reinforcement Learning in Production Scheduling via Explainable AI

Daniel Fischer, Hannah M. Hüsener, Felix Grumbach +3

Deep Reinforcement Learning (DRL) is a frequently employed technique to solve scheduling problems. Although DRL agents ace at delivering viable results in short computing times, th…

cs.CV2024

TattTRN: Template Reconstruction Network for Tattoo Retrieval

Lazaro Janier Gonzalez-Soler, Maciej Salwowski, Christian Rathgeb +1

Tattoos have been used effectively as soft biometrics to assist law enforcement in the identification of offenders and victims, as they contain discriminative information, and are…

cs.CV2020

Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking

Kiran Raja, Matteo Ferrara, Annalisa Franco +18

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as indep…

stat.CO2016

REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit

Daniel Fischer, Alain Berro, Klaus Nordhausen +1

The R-package REPPlab is designed to explore multivariate data sets using one-dimensional unsupervised projection pursuit. It is useful in practice as a preprocessing step to find…