Daniel Staps

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Learning Vector Quantization

Top Venues

Publications

Ronny Schubert, Lynn V. Reuss, Daniel Staps, Marika Kaden, Thomas Villmann, Robert Hasler, Robin Herz, Till Tiemann, Wolfram Richardt
A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation. WHISPERS (2023)
Mehrdad Mohannazadeh Bakhtiari, Daniel Staps, Thomas Villmann
Learning Vector Quantization in Context of Information Bottleneck Theory. ESANN (2023)
Daniel Staps, Marika Kaden, Jan Auth, Florian Zaussinger, Thomas Villmann
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder. WHISPERS (2023)
Thomas Villmann, Daniel Staps, Jensun Ravichandran, Sascha Saralajew, Michael Biehl, Marika Kaden
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation. IDA (2022)
Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann
Prototype-based One-Class-Classification Learning Using Local Representations. IJCNN (2022)
Julia Schulte, Daniel Staps, Alexander Lampe
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements. CoRR (2019)