Demo Data from EDBT 2026 / reviewers in the wild / expert
Sandra H. Bloomberg
dblp:66/9374
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
shape description |
0.0 | 1 | 1987 | Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Geometric modeling and processing › shape representation
multiresolution shape representation |
0.0 | 1 | 1987 | Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Methods — techniques the papers use, named apart from their topics
symmetric axis transform · 0.0multiresolution analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Hierarchical Shape Description Via the Multiresolution Symmetric Axis TransformabstractA method is proposed that produces a shape description in the form of a hierarchy by scale of simple symmetric axis sequences. An axis segment that is a child of another has smaller scale and is seen as a branch of its parent. The scale value and parent-child relationship are induced by following the symmetric axis under successive reduction of resolution. The result, in two or three dimensions, is a figure¿rather than boundary¿oriented shape description that has natural segments and is insensitive to noise in the object description. The general approach of hierarchy production by following a feature through successive resolution reduction will be presented, as will methods of resolution reduction and computer implementation. Also, the relation of this figure-based shape description to those based on boundary curvature will be briefly discussed. Stephen M. Pizer, William R. Oliver, Sandra H. Bloomberg |
IEEE Trans. Pattern Anal. Mach. Intell. | 3 |