VLDB 2026 Research / reviewers in the wild / expert
Hou-Yuan F. Feng
dblp:46/621
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1975
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Geometric modeling and processing · 100% | |
| Artificial intelligence
1 paper |
Image recognition and object detection · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › computational geometry
polygon decomposition |
0.0 | 1 | 1975 | Decomposition of Polygons Into Simpler Components: Feature Generation for Syntactic Pattern Recognition · IEEE Trans. Computers 1975 |
Geometric modeling and processing
shape decomposition |
0.0 | 1 | 1975 | Decomposition of Polygons Into Simpler Components: Feature Generation for Syntactic Pattern Recognition · IEEE Trans. Computers 1975 |
Computer vision › Image recognition and object detection › structural pattern recognition
syntactic pattern recognition |
0.0 | 1 | 1975 | Decomposition of Polygons Into Simpler Components: Feature Generation for Syntactic Pattern Recognition · IEEE Trans. Computers 1975 |
Methods — techniques the papers use, named apart from their topics
fuzzy predicates · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1975 | Decomposition of Polygons Into Simpler Components: Feature Generation for Syntactic Pattern RecognitionabstractA technique for decomposition of polygons into simpler components is described and illustrated with applications in the analysis of handwritten Chinese characters and chromosomes. Polygonal approximations of such objects are obtained by methods described in the literature and then parts of their concave angles are examined recursively for separating convex or other simple shape components. Further decomposition of the latter is possible. The final result can be expressed as a labeled graph and processed further through the introduction of either fuzzy predicates or syntactic pattern recognition techniques. Hou-Yuan F. Feng, Theodosios Pavlidis |
IEEE Trans. Computers | 1 |