Demo Data from EDBT 2026 / reviewers in the wild / expert
Fumio Matsumoto
dblp:05/4799
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1978
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, 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 graphics and multimedia
1 paper |
Image and video processing · 70% Multimedia analysis and retrieval · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › pattern detection › shape detection
ellipse detection |
0.0 | 1 | 1978 | Detection of Ellipses by a Modified Hough Transformation · IEEE Trans. Computers 1978 |
Multimedia analysis and retrieval
image analysis |
0.0 | 1 | 1978 | Detection of Ellipses by a Modified Hough Transformation · IEEE Trans. Computers 1978 |
Image and video processing › pattern detection
shape detection |
0.0 | 1 | 1978 | Detection of Ellipses by a Modified Hough Transformation · IEEE Trans. Computers 1978 |
Image and video processing › feature detection
hough transform |
0.0 | 1 | 1978 | Detection of Ellipses by a Modified Hough Transformation · IEEE Trans. Computers 1978 |
Methods — techniques the papers use, named apart from their topics
parameter space clustering · 0.0least mean squares · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1978 | Detection of Ellipses by a Modified Hough TransformationabstractThe Hough transformation can detect straight lines in an edge-enhanced picture, however its extension to recover ellipses requires too long a computing time. This correspondence proposes a modified method which utilizes two properties of an ellipse in such a way that it iteratively searches for clusters in two different parameter spaces to find almost complete ellipses, then evaluates their parameters by the least mean squares method. Saburo Tsuji, Fumio Matsumoto |
IEEE Trans. Computers | 2 |
| 1977 | Detection of Elliptic and Linear Edges by Searching Two Parameter Spaces
Saburo Tsuji, Fumio Matsumoto |
IJCAI | 2 |