3 citations · 4 across the 4 of their papers we have counts for
5 papers
Uncertainty Tube Visualization of Particle Trajectories
Jixian Li, Timbwaoga Aime Judicael Ouermi, Mengjiao Han +1
Predicting particle trajectories with neural networks (NNs) has substantially enhanced many scientific and engineering domains. However, effectively quantifying and visualizing the…
A Fast Iterative Robust Principal Component Analysis Method
Timbwaoga Aime Judicael Ouermi, Jixian Li, Chris R. Johnson
Principal Component Analysis (PCA) is widely used for dimensionality reduction and data analysis. However, PCA results are adversely affected by outliers often observed in real-wor…
Hyper-differential sensitivity analysis with respect to model discrepancy: Prior distributions
Joseph Hart, Bart van Bloemen Waanders, Jixian Li +2
Hyper-differential sensitivity analysis with respect to model discrepancy was recently developed to enable uncertainty quantification for optimization problems. The approach consis…
Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods
Timbwaoga A. J. Ouermi, Jixian Li, Tushar Athawale +1
Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data. Marching cubes (MC) algorithms with linear interpolation are commonly used for isosurface ex…
Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Fields
Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow +2
Uncertainty is inherent to most data, including vector field data, yet it is often omitted in visualizations and representations. Effective uncertainty visualization can enhance th…