Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2024-03-22 10:15 |
Nagasaki |
Ikinoshima Hall (Primary: On-site, Secondary: Online) |
Context Cache Design for Multicore RISC-V Processors Akira Yamazawa (Keio Univ), Tsutomu Itou, Suito Kazutoshi (AXELL), Nobuyuki Yamasaki (Keio Univ) CPSY2023-44 DC2023-110 |
Today, programs are executed using multiple threads. When multiple threads are used for execution, a context switch occu... [more] |
CPSY2023-44 DC2023-110 pp.35-40 |
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] |
2023-12-03 09:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Enhancing Recognition of Rare Words in ASR through Error Detection and Context-Aware Error Correction Jiajun He, Zekun Yang, Tomoki Toda (Nagoya Univ.) NLC2023-16 SP2023-36 |
Automatic speech recognition (ASR) systems often suffer from errors, particularly when recognizing rare words. These err... [more] |
NLC2023-16 SP2023-36 pp.13-18 |
TL |
2023-09-30 14:25 |
Tokyo |
University of Tokyo |
The effect of contextual information on lexical decision task Miki Ishihara, Kentaro Nakatani (Konan U) TL2023-19 |
In this study, we examined whether the priming effect is manifested differently when the prime is a word or a context in... [more] |
TL2023-19 pp.19-24 |
TL |
2023-10-01 10:45 |
Tokyo |
University of Tokyo |
[Keynote Address]
Neurocognitive mechanisms of processing combinatorial unstated meaning Yao-Ying Lai (National Chengchi Univ.) TL2023-27 |
[more] |
TL2023-27 pp.65-66 |
IA |
2023-09-21 14:40 |
Hokkaido |
Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.) IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] |
IA2023-13 pp.11-18 |
LOIS, IPSJ-DC |
2023-08-04 14:45 |
Kyoto |
Kyoto Tachibana University, Keisei-Kan, 1-G106 (Primary: On-site, Secondary: Online) |
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6 |
As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based ca... [more] |
LOIS2023-6 pp.18-22 |
NLP, MSS |
2023-03-17 14:10 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Qualitative analyses of context vectors generated by Transformers in the neural machine translators Hiroki Azuma, Hideyuki Kato (Oita Univ) MSS2022-103 NLP2022-148 |
Neural machine translators have several types of models, one of which is a Google translator. The translator employs tra... [more] |
MSS2022-103 NLP2022-148 pp.192-197 |
ET |
2023-03-15 14:50 |
Tokushima |
Tokushima University (Primary: On-site, Secondary: Online) |
Visualization of the Contexts in Elaboration of Research Documents for Facilitating the Understanding of Work Circumstances Sho Onami (Fukushima Univ.), Ryo Onuma (Tsuda Univ.), Hiroki Nakayama (Yamagata Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2022-90 |
Research activities are generally carried out by stacking multiple tasks such as survey, discussion, presentation of wor... [more] |
ET2022-90 pp.189-194 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 16:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Eye-contact Transformer: Eye contact detection of distant pedestrians using a sequence of skeletons and scene features Ryusei Hata, Daisuke Deguchi (Nagoya Univ), Takatsugu Hirayama (UHE/Nagoya Univ), Yasutomo Kawanishi (RIKEN/Nagoya Univ), Hiroshi Murase (Nagoya Univ) PRMU2022-112 IBISML2022-119 |
While driving, eye-contact from pedestrians is an important factor in determining whether they are aware of own vehicle ... [more] |
PRMU2022-112 IBISML2022-119 pp.281-286 |
MVE, IPSJ-CVIM, VRSJ-SIG-MR |
2023-01-26 15:20 |
Nara |
Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
Music Experience by Visualizing Imaginary Scenery Based on Song Lyrics Ayuma Nishino, Mako Ishida, Tomoko Yonezawa (Kansai Univ) MVE2022-36 |
The purpose of this study is to clarify the effect of visualization of mental images synchronized with sung music to enr... [more] |
MVE2022-36 pp.9-14 |
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 |
AI |
2022-12-21 11:20 |
Fukuoka |
|
Developing a context-aware tidying-up support system using AR technology Yuna Kaneko, Koki Yasue, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-36 |
To look up things in group spaces effectively, sharing implicit knowledge among group members takes much work. For examp... [more] |
AI2022-36 pp.18-23 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analysis of visual attention to sub-contexts during online activity Masaki Shuzo (Tokyo Denki Univ.), Masahide Yuasa (Shonan Inst. of Tech.) |
There are increasing opportunities for multiple people to work together by sharing images remotely using ICT, such as in... [more] |
|
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] |
2022-11-30 10:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Dialogue disfluency detection using context Hiroto Nakashima, Kazutaka Shimada (KIT) NLC2022-13 SP2022-33 |
Recent automatic speech recognition (ASR) techniques have been improved by a large amount of training data and machine l... [more] |
NLC2022-13 SP2022-33 pp.21-26 |
TL |
2022-11-26 15:15 |
Yamagata |
Yamagata University |
Process of reanalysis of mispronounced prosody in sentential context Terumichi Ariga (Tokyo Univ.) TL2022-20 |
Although Japanese pitch accent plays a crucial role in access to the mental lexicon in spoken word recognition, listener... [more] |
TL2022-20 pp.11-16 |
KBSE, SC |
2022-11-04 16:00 |
Nagano |
(Primary: On-site, Secondary: Online) |
Study of ALPS support rule recommendation method based on life logs of elderly people at home.
-- Utilization of location and time based on motion sensor logs -- Takumi Akashi, Masahide Nakamura (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Kiyoshi Yasuda (OIT), Sinan Chen (Kobe Univ.) KBSE2022-35 SC2022-30 |
We have previously developed ALPS, a voice information presentation system that can support the home life of elderly peo... [more] |
KBSE2022-35 SC2022-30 pp.25-30 |
HIP |
2022-10-18 10:25 |
Kyoto |
Kyoto Terrsa (Primary: On-site, Secondary: Online) |
Comparison of memory results between handwritten input and keyboard input Reina Sato, Hiroshi Kadota (KUT) HIP2022-51 |
As the implementation of ICT advances, there are more opportunities to learn using a keyboard in education. Therefore, i... [more] |
HIP2022-51 pp.22-25 |
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 |
TL |
2022-07-10 16:00 |
Online |
Online |
Port Town, Kobe and Old Traditional Town, Nikko
-- Names of Roads and Areas -- Yuko Hiramatsu (Chuo Univ.) TL2022-8 |
In the course of research of linguistic landscapes at a traditional town in Nikko, a comparative study with Kobe, a port... [more] |
TL2022-8 pp.41-45 |
IT, EMM |
2022-05-18 12:40 |
Gifu |
Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11 |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] |
IT2022-11 EMM2022-11 pp.56-60 |