Now showing items 1-7 of 7

    • Deep Learning Inverse Multidimensional Projections 

      Espadoto, Mateus; Rodrigues, Francisco Caio Maia; Hirata, Nina S. T.; Hirata Jr., Roberto; Telea, Alexandru C. (The Eurographics Association, 2019)
      We present a new method for computing inverse projections from 2D spaces to arbitrary high-dimensional spaces. Given any projection technique, we train a deep neural network to learn a low-to-high dimensional mapping based ...
    • Guided Stable Dynamic Projections 

      Vernier, Eduardo Faccin; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Projections aim to convey the relationships and similarity of high-dimensional data in a low-dimensional representation. Most such techniques are designed for static data. When used for time-dependent data, they usually ...
    • HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters 

      Appleby, Gabriel; Espadoto, Mateus; Chen, Rui; Goree, Samuel; Telea, Alexandru C.; Anderson, Erik W.; Chang, Remco (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully. Unfortunately, iteratively recomputing projections to find ...
    • Monte Carlo Vortical Smoothed Particle Hydrodynamics for Simulating Turbulent Flows 

      Ye, Xingyu; Wang, Xiaokun; Xu, Yanrui; Kosinka, Jiri; Telea, Alexandru C.; You, Lihua; Zhang, Jian Jun; Chang, Jian (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      For vortex particle methods relying on SPH-based simulations, the direct approach of iterating all fluid particles to capture velocity from vorticity can lead to a significant computational overhead during the Biot-Savart ...
    • Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques 

      Vernier, Eduardo Faccin; Garcia, Rafael; Silva, Iron Prando da; Comba, João L. D.; Telea, Alexandru C. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time-dependent multivariate datasets. There are, however, few studies and proposals ...
    • Selecting and Sharing Multidimensional Projection Algorithms: A Practical View 

      Espadoto, Mateus; Vernier, Eduardo Faccin; Telea, Alexandru C. (The Eurographics Association, 2020)
      Multidimensional Projection techniques are often used by data analysts for exploring multivariate datasets, but the task of selecting the best technique for the job is not trivial, as there are many candidates and the ...
    • Turbulent Details Simulation for SPH Fluids via Vorticity Refinement 

      Liu, Sinuo; Wang, Xiaokun; Ban, Xiaojuan; Xu, Yanrui; Zhou, Jing; Kosinka, Jiří; Telea, Alexandru C. (© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2021)
      A major issue in smoothed particle hydrodynamics (SPH) approaches is the numerical dissipation during the projection process, especially under coarse discretizations. High‐frequency details, such as turbulence and vortices, ...