Demo Data from EDBT 2026 / reviewers in the wild / expert
Masato Tsuchihashi
dblp:167/4842
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—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 · 83% Mathematical optimization · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › cyclic codes
affine-invariant codes |
0.2 | 1 | 2015 | Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015 |
Coding theory
source coding |
0.2 | 1 | 2015 | Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015 |
Coding theory › source coding
variable-length codes |
0.2 | 1 | 2015 | Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015 |
Mathematical optimization
discrete optimization |
0.1 | 1 | 2015 | Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015 |
Mathematical optimization
integer programming |
0.1 | 1 | 2015 | Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015 |
Methods — techniques the papers use, named apart from their topics
0-1 integer programming · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Almost Instantaneous Fixed-to-Variable Length CodesabstractWe propose almost instantaneous fixed-to-variable length (AIFV) codes such that two (resp. K - 1) code trees are used, if code symbols are binary (resp. K-ary for K ≥ 3), and source symbols are assigned to incomplete internal nodes in addition to leaves. Although the AIFV codes are not instantaneous codes, they are devised such that the decoding delay is at most two bits (resp. one code symbol) in the case of binary (resp. K-ary) code alphabet. The AIFV code can attain better average compression rate than the Huffman code at the expenses of a little decoding delay and a little large memory size to store multiple code trees. We also show for the binary and ternary AIFV codes that the optimal AIFV code can be obtained by solving 0-1 integer programming problems. Hirosuke Yamamoto, Masato Tsuchihashi, Junya Honda |
IEEE Trans. Inf. Theory | 2 |