Demo Data from EDBT 2026 / reviewers in the wild / expert
Marina P. Sharova
dblp:22/6675
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory 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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory
source coding |
0.0 | 1 | 1999 | Fast coding of low-entropy sources · IEEE Trans. Inf. Theory 1999 |
Coding theory › source coding › lossless compression
run-length coding |
0.0 | 1 | 1999 | Fast coding of low-entropy sources · IEEE Trans. Inf. Theory 1999 |
Methods — techniques the papers use, named apart from their topics
run-length coding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Fast coding of low-entropy sourcesabstractThe problem of coding low-entropy information sources is considered. Since the run-length code was offered about 50 years ago by Shannon, it is known that for such sources there exist coding methods much simpler than for sources of a general type. However, known coding methods of low-entropy sources do not reach the given redundancy. In this correspondence, a new method of coding low-entropy sources is offered. It permits a given redundancy r with almost the same encoder and decoder memory size as that obtained by Ryabko (see ibid., vol.40, p.96-9, 1994) for general methods, while encoding and decoding much faster. Boris Ryabko, Marina P. Sharova |
IEEE Trans. Inf. Theory | 2 |