A Structural Average of Labeled Merge Trees for Uncertainty
Visualization

A Structural Average of Labeled Merge Trees for Uncertainty Visualization

31 July 2019

Ellen Gasparovic

Papers citing "A Structural Average of Labeled Merge Trees for Uncertainty Visualization"

11 / 11 papers shown

Title
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations R. Sisneros Tushar M. Athawale D. Pugmire Kenneth Moreland 29 0 0 13 Sep 2024
A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations Tushar M. Athawale Bryan Triana Tanmay J. Kotha D. Pugmire Paul Rosen 24 2 0 17 Jul 2023
Wasserstein Auto-Encoders of Merge Trees (and Persistence Diagrams) Mathieu Pont Julien Tierny 26 3 0 05 Jul 2023
Autoencoder-Aided Visualization of Collections of Morse Complexes Jixian Li D. V. Boxel Joshua A. Levine 29 0 0 12 Oct 2022
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models Tushar M. Athawale Chris R. Johnson Sudhanshu Sane D. Pugmire 24 10 0 22 Jul 2022
Principal Geodesic Analysis of Merge Trees (and Persistence Diagrams) Mathieu Pont Jules Vidal Julien Tierny 29 7 0 22 Jul 2022
Branch Decomposition-Independent Edit Distances for Merge Trees Florian Wetzels Heike Leitte Christoph Garth 23 16 0 06 Apr 2022
Geometry-Aware Merge Tree Comparisons for Time-Varying Data with Interleaving Distances Lin Yan Talha Bin Masood Farhan Rasheed Ingrid Hotz Bei Wang 22 12 0 29 Jul 2021
Wasserstein Distances, Geodesics and Barycenters of Merge Trees Mathieu Pont Jules Vidal J. Delon Julien Tierny 33 36 0 16 Jul 2021
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization Lin Yan Talha Bin Masood Raghavendra Sridharamurthy Farhan Rasheed Vijay Natarajan Ingrid Hotz Bei Wang 17 68 0 01 Jun 2021
Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading Mingdong Zhang Li Chen Quan Li Xiaoru Yuan Junhai Yong 14 10 0 03 Nov 2020