Daniel Staps

According to our database, Daniel Staps authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder.

Daniel Staps, Marika Kaden, Jan Auth, Florian Zaussinger, Thomas Villmann

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.

Ronny Schubert, Lynn V. Reuss, Daniel Staps, Marika Kaden, Thomas Villmann, Robert Hasler, Robin Herz, Till Tiemann, Wolfram Richardt

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022

Prototype-based One-Class-Classification Learning Using Local Representations.

Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann

Proceedings of the International Joint Conference on Neural Networks, 2022

A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.

Thomas Villmann, Daniel Staps, Jensun Ravichandran, Sascha Saralajew, Michael Biehl, Marika Kaden

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

2019

A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements.

Julia Schulte, Daniel Staps, Alexander Lampe

CoRR, 2019