Demo Data from VLDB 2026 / reviewers in the wild / expert
Lars-Erik Persson
dblp:02/2006
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1992
0009-0008-8835-292XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Theory of computation · 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.
| Theoretical computer science
1 paper |
Coding theory · 67% Information theory · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › information measures
entropy |
0.0 | 1 | 1991 | On quantizer distortion and the upper bound for exponential entropy · IEEE Trans. Inf. Theory 1991 |
Coding theory › source coding
quantization |
0.0 | 1 | 1991 | On quantizer distortion and the upper bound for exponential entropy · IEEE Trans. Inf. Theory 1991 |
Coding theory › source coding › quantization › quantization theory
quantization error |
0.0 | 1 | 1991 | On quantizer distortion and the upper bound for exponential entropy · IEEE Trans. Inf. Theory 1991 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Some properties of generalized exponential entropies with applications to data compression
Timo Koski, Lars-Erik Persson |
Inf. Sci. | 2 |
| 1991 | On quantizer distortion and the upper bound for exponential entropyabstractA sharp upper bound is derived for the exponential entropy in the class of absolutely continuous distributions with specific standard deviation and an exact description of the extremal distributions. This result is interpreted as determining the least favorable cases for certain methods of quantization of analog sources. It is known that for a large class of quantizers (both zero-memory and vector) the rth power distortion, as well as some other distortion criteria, are bounded below by a constant, depending on r, multiplied by a certain integral of the source's probability density. It is pointed out that this bound can be rewritten in terms of the exponential entropy. The exponential entropy measures the quantitative extent or range of the source distribution. This fact gives a physical interpretation of the indicated limits of quantizer performance, further elucidated by the main result.> Timo Koski, Lars-Erik Persson |
IEEE Trans. Inf. Theory | 2 |