4 citations · 11 across the 6 of their papers we have counts for
7 papers
NMF-Based Analysis of Mobile Eye-Tracking Data
Daniel Klötzl, Tim Krake, Frank Heyen +4
The depiction of scanpaths from mobile eye-tracking recordings by thumbnails from the stimulus allows the application of visual computing to detect areas of interest in an unsuperv…
Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frame Structures
Anton Tkachuk, Tim Krake, Jan Gade +1
Large statically indeterminate truss and frame structures exhibit complex load-bearing behavior, and redundancy matrices are helpful for their analysis and design. Depending on the…
Reduced Connectivity for Local Bilinear Jacobi Sets
Daniel Klötzl, Tim Krake, Youjia Zhou +5
We present a new topological connection method for the local bilinear computation of Jacobi sets that improves the visual representation while preserving the topological structure…
Efficient Update of Redundancy Matrices for Truss and Frame Structures
Tim Krake, Malte von Scheven, Jan Gade +3
Redundancy matrices provide insights into the load carrying behavior of statically indeterminate structures. This information can be employed for the design and analysis of structu…
Visualization and Selection of Dynamic Mode Decomposition Components for Unsteady Flow
Tim Krake, Stefan Reinhardt, Marcel Hlawatsch +2
Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimental…
Unsupervised and Generic Short-Term Anticipation of Human Body Motions
Kristina Enes, Hassan Errami, Moritz Wolter +4
Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and expla…
Dynamic Mode Decomposition: Theory and Data Reconstruction
Tim Krake, Daniel Weiskopf, Bernhard Eberhardt
Dynamic Mode Decomposition (DMD) is a data-driven decomposition technique extracting spatio-temporal patterns of time-dependent phenomena. In this paper, we perform a comprehensive…