Demo Data from EDBT 2026 / reviewers in the wild / expert
B. Borden
dblp:23/3849
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—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 |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing
image restoration |
0.0 | 1 | 1999 | Regularization of noisy ISAR images containing extended features · IEEE Trans. Image Process. 1999 |
Image and video processing
regularization |
0.0 | 1 | 1999 | Regularization of noisy ISAR images containing extended features · IEEE Trans. Image Process. 1999 |
Image and video processing
radar imaging |
0.0 | 1 | 1999 | Regularization of noisy ISAR images containing extended features · IEEE Trans. Image Process. 1999 |
Methods — techniques the papers use, named apart from their topics
maximum a posteriori analysis · 0.0configuration entropy · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Regularization of noisy ISAR images containing extended featuresabstractWe present a regularization method that employs a cross-entropy functional and which deals with the three issues of complex-valued data, prior information, and noise mitigation. The basic model of this approach is similar to that used in usual maximum a posteriori analysis and allows for a more general relationship between the image and its configuration entropy than that usually employed. B. Borden |
IEEE Trans. Image Process. | 1 |