Demo Data from EDBT 2026 / reviewers in the wild / expert
Paul Kersten
dblp:79/3780
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 1978
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 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.
| Theoretical computer science
2 papers |
Information theory · 88% Mathematical optimization · 12% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory
hypothesis testing |
0.0 | 1 | 1978 | Improved operation of m-interval detectors by optimum signal selection · IEEE Trans. Inf. Theory 1978 |
Information theory › hypothesis testing › signal detection
nonparametric detection |
0.0 | 1 | 1978 | Improved operation of m-interval detectors by optimum signal selection · IEEE Trans. Inf. Theory 1978 |
Information theory › signal processing › signal design
optimum signal design |
0.0 | 1 | 1978 | Improved operation of m-interval detectors by optimum signal selection · IEEE Trans. Inf. Theory 1978 |
Image and video processing
edge detection |
0.0 | 1 | 1977 | Bivariate m-Interval Classifiers with Application to Edge Detection · Inf. Control. 1977 |
Information theory › hypothesis testing › signal detection
adaptive detection |
0.0 | 1 | 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1977 |
Information theory
estimation theory |
0.0 | 1 | 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1977 |
Information theory › estimation theory
recursive estimation |
0.0 | 1 | 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1977 |
Mathematical optimization › statistical estimation
robust estimation |
0.0 | 1 | 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1977 |
Information theory › hypothesis testing
signal detection |
0.0 | 1 | 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1977 |
Methods — techniques the papers use, named apart from their topics
robust statistics · 0.0locally most powerful scores · 0.0correlation function optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1978 | Improved operation of m-interval detectors by optimum signal selectionabstractThe theory of them-interval partition detector is extended to include the analysis and design of nonconstant signals. Using the derived locally most powerful scores, the performance of this detector is investigated. A discrete formulation is used to select the signal and correlation function of the detector to optimize a performance index that reflects the system constraints. Though the detector appears to be similar to a conventional correlation detector, it retains the robustness properties of them-interval detector. In addition, a method is presented whereby dependent samples may be used while still retaining nonparametric operation of the detector. Paul Kersten, Ludwik Kurz |
IEEE Trans. Inf. Theory | 1 |
| 1977 | Bivariate m-Interval Classifiers with Application to Edge Detection
Paul Kersten, Ludwik Kurz |
Inf. Control. | 1 |
| 1977 | Robustized recursive estimators and adaptive partition detectors (Ph.D. Thesis abstr.)
Paul Kersten |
IEEE Trans. Inf. Theory | 1 |
| 1976 | Robustized recursive estimation with applications
Paul Kersten, Ludwik Kurz |
Inf. Sci. | 2 |
| 1976 | Robustized vector Robbins-Monro algorithm with applications to m-interval detection
Paul Kersten, Ludwik Kurz |
Inf. Sci. | 1 |