Demo Data from VLDB 2026 / reviewers in the wild / expert
Bernard W. Silverman
dblp:05/115
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 1991
0000-0002-4059-2376ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 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 · 100% | |
| Theoretical computer science
1 paper |
Information theory · 100% |
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
edge detection |
0.0 | 1 | 1990 | The Specification of Edge Penalties for Regular and Irregular Pixel Images · IEEE Trans. Pattern Anal. Mach. Intell. 1990 |
Image and video processing
image segmentation |
0.0 | 1 | 1990 | The Specification of Edge Penalties for Regular and Irregular Pixel Images · IEEE Trans. Pattern Anal. Mach. Intell. 1990 |
Information theory
statistical inference |
0.0 | 1 | 1980 | Some asymptotic properties of the probabilistic teacher (Corresp.) · IEEE Trans. Inf. Theory 1980 |
Information theory › estimation theory
sequential estimation |
0.0 | 1 | 1980 | Some asymptotic properties of the probabilistic teacher (Corresp.) · IEEE Trans. Inf. Theory 1980 |
Methods — techniques the papers use, named apart from their topics
geometric analysis · 0.0statistical efficiency · 0.0posterior probability classification · 0.0consistency analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Discretization effects in statistical inverse problems
Iain M. Johnstone, Bernard W. Silverman |
J. Complex. | 2 |
| 1990 | The Specification of Edge Penalties for Regular and Irregular Pixel ImagesabstractIt is shown how some geometrical insights can be used to provide penalties for the various edge configurations in a way that is roughly independent of the pixel discretization. The penalties are consistent over pixels of different sizes, shapes, and orientations, event if these occur in the same pattern. The cases of square, rectangular, hexagonal, and irregular pixels are considered. In an experiment, the penalties perform substantially better than those previously proposed.> Bernard W. Silverman, Christopher Jennison, Julian Stander, Timothy C. Brown |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 1980 | Efficient Implementation of the Ada Overloading Rules
Peter J. L. Wallis, Bernard W. Silverman |
Inf. Process. Lett. | 2 |
| 1980 | Some asymptotic properties of the probabilistic teacher (Corresp.)abstractThe problem of sequentially determining a mixture proportion is discussed, and the "probabilistic teacher" method, where successive observations are randomly classified according to current posterior probabilities, is investigated. The method is shown to be consistent and expressions for its statistical efficiency are obtained. Bernard W. Silverman |
IEEE Trans. Inf. Theory | 1 |
| 1979 | Constructing the Convex Hull of a Set of Points in the PlaneabstractA highly efficient algorithm for computing the vertices of the convex hull of a set of points in the plane is described and compared with existing methods. Empirical timings of a FORTRAN implementation of the algorithm show it to be faster than previous methods for most configurations of points. Careful consideration is given throughout to ensure that degenerate configurations, containing collinear or near-collinear points, are handled correctly. P. J. Green, Bernard W. Silverman |
Comput. J. | 2 |