Name
Abstract | ||
|---|---|---|
Adaptive representations are increasingly indispensable for reducing the in-memory and on-disk footprints of large-scale data. Usual solutions are designed broadly along two themes: reducing data precision, e.g., through compression, or adapting data resolution, e.g., using spatial hierarchies. Recent research suggests that combining the two approaches, i.e., adapting both res... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVCG.2022.3165392 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Data visualization,Rendering (computer graphics),Spatial resolution,Open source software | Journal | 28 |
Issue | ISSN | Citations |
6 | 1077-2626 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harsh Bhatia | 1 | 85 | 8.99 |
| Duong Hoang | 2 | 1 | 1.36 |
| Nate Morrical | 3 | 0 | 1.01 |
| Valerio Pascucci | 4 | 3241 | 192.33 |
| P.-T. Bremer | 5 | 2 | 2.08 |
| Peter Lindstrom | 6 | 1838 | 103.19 |