Name
Abstract | ||
|---|---|---|
The authors propose visual embedding as a model for automatically generating and evaluating visualizations. A visual embedding is a function from data points to a space of visual primitives that measurably preserves structures in the data (domain) within the mapped perceptual space (range). The authors demonstrate its use with three examples: coloring of neural tracts, scatterplots with icons, and... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/MCG.2014.18 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Data visualization,Visualization,Image color analysis,Computational modeling,Graphical models,Embedded systems | Glyph,Visual space,Computer vision,Data visualization,Embedding,Computer science,Visualization,Visual analytics,Artificial intelligence,Graphical model,Computer graphics | Journal |
Volume | Issue | ISSN |
34 | 1 | 0272-1716 |
Citations | PageRank | References |
15 | 0.76 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Çagatay Demiralp | 1 | 235 | 29.10 |
| Carlos Eduardo Scheidegger | 2 | 276 | 19.64 |
| Gordon Kindlmann | 3 | 1598 | 103.52 |
| David H. Laidlaw | 4 | 1781 | 234.58 |
| Jeffrey Heer | 5 | 5322 | 349.19 |