Demo Data from EDBT 2026 / reviewers in the wild / expert
Adil S. Balghonaim
dblp:86/5481
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 87% Image and video processing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › image analysis › fractal image analysis
fractal dimension estimation |
0.0 | 1 | 1998 | A maximum likelihood estimate for two-variable fractal surface · IEEE Trans. Image Process. 1998 |
Multimedia analysis and retrieval › image analysis
fractal image analysis |
0.0 | 1 | 1998 | A maximum likelihood estimate for two-variable fractal surface · IEEE Trans. Image Process. 1998 |
Image and video processing › image representation
stochastic image models |
0.0 | 1 | 1998 | A maximum likelihood estimate for two-variable fractal surface · IEEE Trans. Image Process. 1998 |
Methods — techniques the papers use, named apart from their topics
maximum likelihood estimation · 0.0fractional brownian motion · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A maximum likelihood estimate for two-variable fractal surfaceabstractThe fractal dimension estimate for two-variable fractional Brownian motion using the maximum likelihood estimate (MLE) is developed. We formulate a model to describe the two-variable fractional Brownian motion, then derive the likelihood function for that model and estimate the fractal dimension by maximizing the likelihood function. We then compare the MLE with the box-dimension estimation method. Adil S. Balghonaim, James Keller 0001 |
IEEE Trans. Image Process. | 1 |