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Masato Tsuchihashi

dblp:167/4842 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › cyclic codes
affine-invariant codes
0.212015
Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015
Coding theory
source coding
0.212015
Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015
Coding theory › source coding
variable-length codes
0.212015
Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015
Mathematical optimization
discrete optimization
0.112015
Almost Instantaneous Fixed-to-Variable Length Codes · IEEE Trans. Inf. Theory 2015
Mathematical optimization
integer programming
0.112015
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
YearPublicationVenuePosition
2015 Almost Instantaneous Fixed-to-Variable Length Codes
abstract
We 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. Theory2