VLDB 2026 Research / reviewers in the wild / expert
Kevin J. Sangston
dblp:55/274
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2
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 · 81% Coding theory · 19% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › hypothesis testing
false alarm probability |
0.0 | 1 | 1994 | A sharp false alarm upper-bound for a matched filter bank detector · IEEE Trans. Inf. Theory 1994 |
Coding theory
upper bounds |
0.0 | 1 | 1994 | A sharp false alarm upper-bound for a matched filter bank detector · IEEE Trans. Inf. Theory 1994 |
Information theory › hypothesis testing › signal detection › weak signal detection
locally optimum detection |
0.0 | 1 | 1993 | Robust locally optimum detection of signals in dependent noise · IEEE Trans. Inf. Theory 1993 |
Information theory › hypothesis testing
robust detection |
0.0 | 1 | 1993 | Robust locally optimum detection of signals in dependent noise · IEEE Trans. Inf. Theory 1993 |
Information theory › hypothesis testing
signal detection |
0.0 | 1 | 1993 | Robust locally optimum detection of signals in dependent noise · IEEE Trans. Inf. Theory 1993 |
Information theory › probability theory
covariance matrix |
0.0 | 1 | 1994 | A sharp false alarm upper-bound for a matched filter bank detector · IEEE Trans. Inf. Theory 1994 |
Information theory › statistical inference › statistical decision theory
bayes risk |
0.0 | 1 | 1993 | Robust locally optimum detection of signals in dependent noise · IEEE Trans. Inf. Theory 1993 |
Methods — techniques the papers use, named apart from their topics
probability bound derivation · 0.0likelihood ratio · 0.0in-contamination model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | A sharp false alarm upper-bound for a matched filter bank detectorabstractA sharp upper bound on the probability of false alarm, P/sub F/, of a matched filter bank detector over the class of input variates that are zero mean and have a specified covariance matrix, R/sub xx/, is derived. This bound is a function of the detector threshold, T, and R/sub xx/. It is shown that the bound is inversely proportional to T/sup 2/. Hence there may be a wide variation of P/sub F/ over the class since the P/sub F/ for Gaussian inputs varies as exp(-T/sup 2/).> Karl Gerlach, Kevin J. Sangston |
IEEE Trans. Inf. Theory | 2 |
| 1993 | Robust locally optimum detection of signals in dependent noiseabstractA robust locally optimum detector of a signal embedded in additive dependent nonGaussian noise is presented. The performance criterion is Bayes risk, the sample size is finite, and the uncertainty class of multivariate inputs is the in -contamination model. The locally optimum detector is shown to be a censored version of the nominal likelihood ratio.> Karl Gerlach, Kevin J. Sangston |
IEEE Trans. Inf. Theory | 2 |