Demo Data from EDBT 2026 / reviewers in the wild / expert
M. J. Turner
dblp:33/4452
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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.
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 77% Data mining · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining
statistical analysis |
0.0 | 1 | 1979 | A DBMS for Large Statistical Databases · VLDB 1979 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Digital removal of power frequency artifacts using a Fourier space median filterabstractAn efficient technique to remove periodic noise from digital images via a novel implementation of the median filter is presented and discussed within this letter. The technique is based on applying the nonlinear filter to the Fourier amplitude spectrum of the image. Since the median filter is normally used to spatially reduce spiky noise in digital images, using this filter in Fourier space is especially useful for removing periodic frequency noise. Provisional experimental results are shown that demonstrate that the proposed filter provides good performance when compared with a similar Fourier filter: the notch filter. This letter, when considering a prototype version of a Fourier-based median filter, defines the set of user-defined options that are available and also defines a possible solution to solve the distortions caused around the dc component due to natural spectrum decay. Ghada Al-Hudhud, M. J. Turner |
IEEE Signal Process. Lett. | 2 |
| 1979 | A DBMS for Large Statistical Databases
M. J. Turner, R. Hammond, P. Cotton |
VLDB | 1 |