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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
15:30
Hokkaido Hokkaido Univ. A Study on Adaptation Methods for Universal Deep Image Compression
Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] ITS2022-56 IE2022-73
pp.77-82
IT, RCS, SIP 2023-01-24
10:25
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
An improved context tree switching method by dynamic expansion and pruning of context tree
Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] IT2022-36 SIP2022-87 RCS2022-215
pp.42-47
QIT
(2nd)
2022-12-09
18:15
Kanagawa Keio Univ.
(Primary: On-site, Secondary: Online)
Secure multi-party quantum computation based on triorthogonal quantum error-correcting codes
Petr Mishchenko, Keita Xagawa (NTT)
Secure multi-party quantum computation (MPQC) protocol is a versatile tool that enables error-free distributed quantum c... [more]
WBS, IT, ISEC 2021-03-04
10:55
Online Online An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34
In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] IT2020-115 ISEC2020-45 WBS2020-34
pp.19-24
IT, ISEC, WBS 2019-03-07
10:55
Tokyo University of Electro-Communications A Two-Step LZY Code by Excluding the Nodes Which Will Not be Used from the Candidate Set
Mitsuharu Arimnura (Shonan Inst. Tech.) IT2018-92 ISEC2018-98 WBS2018-93
When blocks are parsed and encoded incrementally in the LZY code, which is a variation of the LZ78 code, the newly parse... [more] IT2018-92 ISEC2018-98 WBS2018-93
pp.103-108
IT, EMM 2018-05-17
14:25
Tokyo Ookayama Campus, Tokyo Institute of Technology A Two-Step Source Code Using the Parsing Count of LZ78 Code as the First Step
Mitsuharu Arimura (Shonan Inst. Tech.), Hiroshi Nagaoka (Univ. of Electro-Communications) IT2018-2 EMM2018-2
The redundancy of a two-step source code has been analyzed using the shape of the parsing tree of the Lempel-Ziv-Yokoo c... [more] IT2018-2 EMM2018-2
pp.7-12
WBS, IT, ISEC 2018-03-08
10:15
Tokyo Katsusika Campas, Tokyo University of Science Evaluation of the Worst-Case Redundancy of Strongly Universal FV Source Codes Using the Source Approximation and the Asymptotically Sufficient Statistic
Mitsuharu Arimura (Shonan Inst. Tech.), Hiroshi Nagaoka (Univ. of Electro-Comm.) IT2017-106 ISEC2017-94 WBS2017-87
The universality of some variations of two-step lossless source codes using asymptotically sufficient statistics were pr... [more] IT2017-106 ISEC2017-94 WBS2017-87
pp.19-24
IT 2017-07-13
16:20
Chiba Chiba University [Invited Talk] Compression by Substring Enumeration and its Related Methods
Hidetoshi Yokoo (Gunma Univ.) IT2017-26
This paper surveys the universal data compression method known as Compression by Substring Enumeration (CSE), developed ... [more] IT2017-26
pp.55-60
IT, EMM 2016-05-20
11:05
Hokkaido Otaru Economic Center Construction of A Two-Step Universal VV Code Using a Sufficient Statistic Extracted from a VF Code
Mitsuharu Arimura (Shonan Inst. Tech.), Hiroshi Nagaoka (Univ. of Electro-Communications) IT2016-13 EMM2016-13
In this paper, some theorems which give relationships between a sufficient statistic and the universality of a VV source... [more] IT2016-13 EMM2016-13
pp.75-80
IT, ISEC, WBS 2016-03-10
10:40
Tokyo The University of Electro-Communications Redundancy of Bayesian Code with Markov Fractal Prior Distributions
Naoya Matsukami, Tsutomu Kawabata (UEC) IT2015-103 ISEC2015-62 WBS2015-86
Bayesian code method is used as a standard in realizing a universal noiseless source code. For a memoryless source, a mi... [more] IT2015-103 ISEC2015-62 WBS2015-86
pp.13-17
COMP 2015-09-01
11:00
Nagano   Generalization of Efficient Implementation of Compression by Substring Enumeration -- Finite Alphabet and Explicit Phase Awareness --
Shumpei Sakuma, Kazuyuki Narisawa, Ayumi Shinohara (Tohoku Univ.) COMP2015-18
CSE (Compression by Substring Enumeration), a lossless universal compression scheme was introduced by Dub'e and Beaudoin... [more] COMP2015-18
pp.13-20
OME 2015-05-29
16:20
Tokyo Kikai-Shinko-Kaikan Bldg The Entropy and Probability in Information Theories -- How Dr. John von Neumann explained in his Illinois Univ. Lectures in Dec. 1949 --
Kimiaki Tokumaru (Natural Philosopher) OME2015-23
Dr. von Neumann delivered lectures in December 1949 at Illinois University and in his 3rd lecture, “The Statistical Theo... [more] OME2015-23
pp.25-30
QIT
(2nd)
2015-05-26
16:40
Osaka Osaka University The Entropy and Probability in Information Theories -- How Dr. John von Neumann explained in his Illinois Univ. Lectures in Dec. 1949 --
Kimiaki Tokumaru (Natural Philosopher)
Dr. von Neumann delivered lectures in December 1949 at Illinois University and in his 3rd lecture, “The Statistical Theo... [more]
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-02
16:15
Ibaraki   Rates of convergence of the universal Bayesian measure for continuous data
Takanori Ayano, Joe Suzuki (Osaka Univ.) PRMU2014-53 IBISML2014-34
It is very important to estimate the probability of the data series accurately for applying MDL information criterion.
... [more]
PRMU2014-53 IBISML2014-34
pp.143-146
IT 2014-07-17
14:25
Hyogo Kobe University Extended LZW codes with Modified Reduplicative Parsing
Yuta Takabayashi, Hirosuke Yamamoto (Univ. of Tokyo) IT2014-19
The LZW code is categorized as the so-called dictionary method in the universal data compression codes and is used in G... [more] IT2014-19
pp.43-48
IT 2014-07-17
17:40
Hyogo Kobe University [Invited Talk] How to Observe Probability Distribution of Self-Information -- as viewed under different resolutions of $n^{-1}$ and $n^{-1/2}$ --
Toshiyasu Matsushima (Waseda Univ.) IT2014-26
Several problems in Information Theory are investigated by asymptotic approximations of the probability of self-informat... [more] IT2014-26
pp.83-88
IT 2013-07-25
14:30
Tokyo Nishi-Waseda campus, Waseda University A Data Compression Scheme based on Reduplicative Parsing for Binary Sources
Shigeru Maya, Hirosuke Yamamoto (Univ. of Tokyo) IT2013-14
The incremental parsing used in the LZ78 code can be implemented by the incremental parsing tree,
and Yokoo showed that... [more]
IT2013-14
pp.17-22
IT, ISEC, WBS 2013-03-07
10:30
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus Universal Coding for Asynchronous Slepian-Wolf Coding Systems
Tetsunao Matsuta, Tomohiko Uyematsu (Tokyo Inst. of Tech.) IT2012-62 ISEC2012-80 WBS2012-48
Slepian-Wolf (SW) coding system is the most fundamental source coding system in multi-terminal information theory. In t... [more] IT2012-62 ISEC2012-80 WBS2012-48
pp.1-6
IT, ISEC, WBS 2013-03-07
11:45
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus Order Estimator of Stationary Markov Sources Using Codeword Length of Universal Code
Shinji Kanazawa, Tomohiko Uyematsu (Tokyo Inst. of Tech.) IT2012-65 ISEC2012-83 WBS2012-51
Merhav et al. studied the problem of estimating the order of stationary Markov sources. They proposed an order estimator... [more] IT2012-65 ISEC2012-83 WBS2012-51
pp.19-24
IT, ISEC, WBS 2013-03-07
13:40
Osaka Kwansei Gakuin Univ., Osaka-Umeda Campus Maximum Redundancy of Lossless Data Compression via Substring Enumeration for Markov Sources
Ken-ichi Iwata (Univ. of Fukui), Mitsuharu Arimura (Shonan Inst. Tech.), Yuki Shima (Univ. of Fukui) IT2012-76 ISEC2012-94 WBS2012-62
Dub\'{e} and Beaudoin proposed a technique of lossless data compression called compression via substring enumeration (CS... [more] IT2012-76 ISEC2012-94 WBS2012-62
pp.95-100
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