2 citations · 2 across the 5 of their papers we have counts for
6 papers
Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps
Tushar Athawale, Dan Maljovec, Chris R. Johnson +2
Morse complexes are gradient-based topological descriptors with close connections to Morse theory. They are widely applicable in scientific visualization as they serve as important…
A Structural Average of Labeled Merge Trees for Uncertainty Visualization
Lin Yan, Yusu Wang, Elizabeth Munch +2
Physical phenomena in science and engineering are frequently modeled using scalar fields. In scalar field topology, graph-based topological descriptors such as merge trees, contour…
Local Versus Global Distances for Zigzag Persistence Modules
Ellen Gasparovic, Maria Gommel, Emilie Purvine +4
This short note establishes explicit and broadly applicable relationships between persistence-based distances computed locally and globally. In particular, we show that the bottlen…
The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs
Ellen Gasparovic, Maria Gommel, Emilie Purvine +4
Metric graphs are meaningful objects for modeling complex structures that arise in many real-world applications, such as road networks, river systems, earthquake faults, blood vess…
Visualizing Sensor Network Coverage with Location Uncertainty
Tim Sodergren, Jessica Hair, Jeff M. Phillips +1
We present an interactive visualization system for exploring the coverage in sensor networks with uncertain sensor locations. We consider a simple case of uncertainty where the loc…
Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology
Mustafa Hajij, Bei Wang, Carlos Scheidegger +1
Topological data analysis is an emerging area in exploratory data analysis and data mining. Its main tool, persistent homology, has become a popular technique to study the structur…