Demo Data from EDBT 2026 / reviewers in the wild / expert
M. C. K. Yang
dblp:260/6172
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › feature detection
hough transform |
0.0 | 1 | 1997 | Hough transform modified by line connectivity and line thickness · IEEE Trans. Pattern Anal. Mach. Intell. 1997 |
Image and video processing › edge detection
line detection |
0.0 | 1 | 1997 | Hough transform modified by line connectivity and line thickness · IEEE Trans. Pattern Anal. Mach. Intell. 1997 |
Methods — techniques the papers use, named apart from their topics
likelihood principle · 0.0connectivity and thickness modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Hough transform modified by line connectivity and line thicknessabstractA modified Hough transform based on a likelihood principle of connectivity and thickness is proposed for line detection. It makes short as well as thick line segments easier to detect in a noisy image. Certain desirable properties of the new method are justified by theory and simulations. M. C. K. Yang, Jong-Sen Lee, Cheng-Chang Lien, Chung-Lin Huang |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |