Demo Data from EDBT 2026 / reviewers in the wild / expert
R. Forbes
dblp:40/6790
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design › placement › analytical placement
force-directed placement |
0.0 | 1 | 1987 | Heuristic Acceleration of Force-Directed Placement · DAC 1987 |
Electronic design automation
physical design |
0.0 | 1 | 1987 | Heuristic Acceleration of Force-Directed Placement · DAC 1987 |
Electronic design automation › physical design
placement |
0.0 | 1 | 1987 | Heuristic Acceleration of Force-Directed Placement · DAC 1987 |
Methods — techniques the papers use, named apart from their topics
heuristic methods · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Underwater Video Mosaicing for Seabed MappingabstractThis paper presents improved techniques and applications in mosaicing of underwater video images. The applications are of use to many marine scientists. High resolution seabed maps are created. The improvements in the processing relate to the removal of interframe variability and lighting, speed up of the mosaicing process and improved accuracy in the estimation of the transformation parameters. Results are presented for real data acquired under a variety of circumstances and scenes. Y. Rzhanov, Laurie M. Linnett, R. Forbes |
ICIP | 3 |
| 1987 | Heuristic Acceleration of Force-Directed PlacementabstractTwo heuristic methods are presented for accelerating convergence of a force-directed placement problem. The first stabilizes the derivative of the repulsion force. The second uses information on device movement and instability characteristics to make a predictive extrapolation. Convergence is accelerated by replacing iterations with the faster heuristic iterations. A standard implementation from the literature is made three to four times faster by using these techniques. R. Forbes |
DAC | 1 |