Tim Krake

According to our database, Tim Krake authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material.

Tim Krake, Daniel Klötzl, David Hägele, Daniel Weiskopf

Dataset, March, 2024

NMF-Based Analysis of Mobile Eye-Tracking Data.

Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, Kuno Kurzhals

Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024

2023

Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution.

Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, Daniel Weiskopf

IEEE Trans. Vis. Comput. Graph., 2023

Constrained Dynamic Mode Decomposition.

Tim Krake, Daniel Klötzl, Bernhard Eberhardt, Daniel Weiskopf

IEEE Trans. Vis. Comput. Graph., 2023

Uncertainty-Aware Multidimensional Scaling.

David Hägele, Tim Krake, Daniel Weiskopf

IEEE Trans. Vis. Comput. Graph., 2023

Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frame Structures.

Anton Tkachuk, Tim Krake, Jan Gade, Malte von Scheven

CoRR, 2023

2022

Constrained Dynamic Mode Decomposition - Supplemental Material.

Tim Krake, Daniel Klötzl, Bernhard Eberhardt, Daniel Weiskopf

Dataset, November, 2022

Constrained Dynamic Mode Decomposition - Supplemental Material.

Tim Krake, Daniel Klötzl, Bernhard Eberhardt, Daniel Weiskopf

Dataset, November, 2022

Supplemental Material for Uncertainty-Aware Multidimensional Scaling.

David Hägele, Tim Krake, Daniel Weiskopf

Dataset, October, 2022

Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution.

Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, Daniel Weiskopf

Dataset, September, 2022

Local bilinear computation of Jacobi sets.

Daniel Klötzl, Tim Krake, Youjia Zhou, Ingrid Hotz, Bei Wang, Daniel Weiskopf

Vis. Comput., 2022

Efficient and Robust Background Modeling with Dynamic Mode Decomposition.

Tim Krake, Andrés Bruhn, Bernhard Eberhardt, Daniel Weiskopf

J. Math. Imaging Vis., 2022

Reduced Connectivity for Local Bilinear Jacobi Sets.

Daniel Klötzl, Tim Krake, Youjia Zhou, Jonathan Stober, Kathrin Schulte, Ingrid Hotz, Bei Wang, Daniel Weiskopf

CoRR, 2022

Efficient Update of Redundancy Matrices for Truss and Frame Structures.

Tim Krake, Malte von Scheven, Jan Gade, Moataz Abdelaal, Daniel Weiskopf, Manfred Bischoff

CoRR, 2022

2021

Visualization and selection of Dynamic Mode Decomposition components for unsteady flow.

Tim Krake, Stefan Reinhardt, Marcel Hlawatsch, Bernd Eberhardt, Daniel Weiskopf

Vis. Informatics, 2021

2020

Unsupervised and Generic Short-Term Anticipation of Human Body Motions.

Kristina Enes, Hassan Errami, Moritz Wolter, Tim Krake, Bernhard Eberhardt, Andreas Weber, Jörg Zimmermann

Sensors, 2020

2019

Consistent shepard interpolation for SPH-based fluid animation.

Stefan Reinhardt, Tim Krake, Bernhard Eberhardt, Daniel Weiskopf

ACM Trans. Graph., 2019

Dynamic Mode Decomposition: Theory and Data Reconstruction.

Tim Krake, Daniel Weiskopf, Bernhard Eberhardt

CoRR, 2019