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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 156  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2024-03-13
11:35
Osaka Osaka Univ. (Suita Campus) Proxy Re-Authentication Capable of Key and Data Compression
Yoshiro Matsuoka, Sohto Chiku (YNU), Keisuke Hara (AIST/YNU), Junji Shikata (YNU) IT2023-83 ISEC2023-82 WBS2023-71 RCC2023-65
In this paper, we propose a new cryptographic protocol called proxy re-authentication capable of key and data compressio... [more] IT2023-83 ISEC2023-82 WBS2023-71 RCC2023-65
pp.52-59
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
14:30
Hokkaido Hokkaido Univ. Optimizing Division Schemes with Mixture of Experts for Medical Data Compression
Jiancheng Zhao, Takefumi Ogawa (Utokyo) ITS2023-73 IE2023-62
Implicit Neural Representation (INR) is an emerging technique for data compression that utilizes the parameters of a Dee... [more] ITS2023-73 IE2023-62
pp.145-150
RECONF, VLD 2024-01-29
15:30
Kanagawa AIRBIC Meeting Room 1-4
(Primary: On-site, Secondary: Online)
An FPGA-based data compressor for state vector quantum simulators
Kaijie Wei, Hideharu Amano (Keio Univ.), Ryohei Niwase (Tsukuba Univ.), Takefumi Miyoshi (WasaLabo), Yoshiki Yamaguchi (Tsukuba Univ.) VLD2023-87 RECONF2023-90
A quantum computer simulator is a tool to emulate the operation of a quantum computer on a classical computer. It is a c... [more] VLD2023-87 RECONF2023-90
pp.41-46
EMM 2024-01-17
09:30
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
A Reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images
Noa Kikuchi, Shoko Imaizumi (Chiba Univ.) EMM2023-84
In this paper, we propose a method to achieve high-capacity reversible data hiding (RDH) for OpenEXR images with compres... [more] EMM2023-84
pp.20-25
RISING
(3rd)
2023-10-31
14:00
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Optimal Compression Rate for Multiple Data Compression Techniques in Data Parallel Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui)
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more]
NS 2023-10-05
10:10
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Communication Scheduling Based on Heuristic Algorithm in Distributed Deep Learning
Ryudai Fukuda, Takuji Tachibana (Univ. Fukui) NS2023-86
In distributed deep learning, where multiple processors are used, the learning time can be significantly reduced by exec... [more] NS2023-86
pp.83-88
IT 2023-08-03
14:30
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
An Asymmetric Encoding-Decoding Scheme for Lossless Data Compression
Hirosuke Yamamoto (Univ. of Tokyo), Ken-ichi Iwata (Univ. of Fukui) IT2023-17
ANS (Asymmetric Numeral Systems) are new lossless data-compression-coding systems that can achieve almost the same compr... [more] IT2023-17
pp.17-22
RCC, ISEC, IT, WBS 2023-03-14
13:50
Yamaguchi
(Primary: On-site, Secondary: Online)
A Construction Method of Alphabetic Codes Allowing N-bit Decoding Delays
Daichi Ueda, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99
As an extension of the AIFV and AIFV-m codes that allow decoding delay, Sugiura, Kamamoto, and Moriya proposed the N-bit... [more] IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99
pp.218-223
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] An extension of reversible data hiding in encrypted images with high compression performance and flexible processing order
Eichi Arai, Shoko Imaizumi (Chiba Univ.) EMM2022-67
In this paper, we propose a reversible data hiding in encrypted images (RDH-EI) method that achieves both a high compres... [more] EMM2022-67
pp.1-6
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Video Data Hiding Scheme Using Dynamic Programming on Feature Sequences
Tamaki Yonemaru, Tetsuya Kojima, Raito Matsuzaki, Akira Tanaka (NIT, Tokyo College) EMM2022-73
A video data hiding scheme based on the differences between two successive frames has been proposed. In this scheme, a w... [more] EMM2022-73
pp.34-37
EMM 2023-01-26
09:30
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
Influence of Data Hiding in EtC-Image Classification with Vision Transformer
Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-61
A privacy-preserving image classification method with the vision transformer (ViT) was proposed in which the accuracy of... [more] EMM2022-61
pp.1-6
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
NS, ICM, CQ, NV
(Joint)
2022-11-24
13:00
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Optimal Data Communication Scheduling Considering Multiple Data Compression Techniques in Distributed Deep Learning
Fukuda Ryudai, Takuji Tachibana (Univ. Fukui) NS2022-105
In distributed deep learning, which uses multiple processors, the training time can be greatly reduced by executing the ... [more] NS2022-105
pp.29-34
RISING
(3rd)
2022-10-31
10:30
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Study of Data Collection System for Anomaly Detection by Ultrasonic Components of Mechanical Equipment Operating Sounds
Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT)
Status checks of mechanical equipment are typically being conducted by workers (manpower) at the actual place. However, ... [more]
IA, CQ, MIKA
(Joint)
2022-09-16
15:45
Hokkaido Hokkaido Citizens Actives Center
(Primary: On-site, Secondary: Online)
Study of Data Collection System for Ultrasonic Waves Based Anomaly Detection of Mechanical Equipment
Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga (KIT) IA2022-32
Status checks of mechanical equipment are typically being conducted by workers (manpower). However, since the check timi... [more] IA2022-32
pp.97-102
IT 2022-07-21
14:55
Okayama Okayama University of Science
(Primary: On-site, Secondary: Online)
A Data Compression Method Where The Codeword Is a Computer Program Generating The Data
Mitsuharu Arimura (Shonan Inst. Tech.) IT2022-19
The Kolmogorov complexity of a string is defined as the shortest length of the program on a Turing machine used to repre... [more] IT2022-19
pp.18-23
AI 2022-07-04
11:50
Hokkaido
(Primary: On-site, Secondary: Online)
Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs
Koji Fujiwara, Ken Kaneiwa (UEC) AI2022-6
The number and size of RDF graphs on the Web grow continuously and demand efficient solutions with compressed data stora... [more] AI2022-6
pp.31-36
IT, ISEC, RCC, WBS 2022-03-10
16:50
Online Online [Special Invited Talk] A spread of Information Theory Researches
Hirosuke Yamamoto (U.Tokyo) IT2021-103 ISEC2021-68 WBS2021-71 RCC2021-78
We look back on the research themes dealt with in our researches of information theory for 47 years, and think about the... [more] IT2021-103 ISEC2021-68 WBS2021-71 RCC2021-78
pp.117-121
EMM 2022-03-08
10:25
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Influence of Data Hiding in Etc-Image Classification with SVM
Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2021-112
Classification accuracy for Encryption-then-Comperssion (EtC) images by support vector machine(SVM) is comparable to tha... [more] EMM2021-112
pp.107-111
COMP 2021-10-23
13:15
Online Online [Invited Talk] Optimal-Time Queries on BWT-runs Compressed Indexes
Takaaki Nishimoto, Yasuo Tabei (RIKEN) COMP2021-16
Indexing highly repetitive strings (i.e., strings with many repetitions) for fast queries has become a central research ... [more] COMP2021-16
p.19
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