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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 35  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT 2023-06-16
14:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Study on Sign Language Recognition Using Deep Learning -- Recognition by conformer with the introduction of two-word sentences and sign language dictionary structure --
Kouki Ikeda, Tsutomu Kimura (National Institute of Technology,Toyota College) WIT2023-2
This study aims to recognize words used in sentences in sign language recognition using machine learning. In order to tr... [more] WIT2023-2
pp.6-11
IA 2023-01-25
13:30
Osaka Osaka Umeda Campus, Kwansei Gakuin University (Osaka)
(Primary: On-site, Secondary: Online)
Experimental Evaluation of Transmission Control Method that takes into account Variations in Received Signal Strength due to Obstructions in Spatio-Temporal Data Retention
Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) IA2022-69
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing. Some d... [more] IA2022-69
pp.8-13
RISING
(3rd)
2022-10-31
13:00
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Experimental Evaluation of Transmission Control Method based on Location Information and Received Signal Strength in Spatio-Temporal Data Retention
Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT)
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing.Some da... [more]
IN, CCS
(Joint)
2022-08-05
13:30
Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)
Analysis on nonlinear dynamics of temporal networks using spectral distance
Taiga Ito, Kazuya Sawada, Honami Tsushima, Tohru Ikeguchi (TUS) CCS2022-39
In this report, we used spectral distance and classical multidimensional scaling (CMDS) to extract the state change of t... [more] CCS2022-39
pp.66-71
PRMU, IPSJ-CVIM 2020-05-15
10:05
Online Online PRMU2020-7 Handwriting prediction is a difficult task because it has uncertainty due to class ambiguity, in addition to chaotic beh... [more] PRMU2020-7
pp.35-38
PRMU, IPSJ-CVIM 2020-03-17
10:45
Kyoto
(Cancelled but technical report was issued)
Semi-Supervised Temporal Segmentation of Industrial Operation Video based on Deep Metric Learning
Daiki Kawamori, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2019-92
Today, cameras are often installed in many production sites for various purposes.
However, untrimmed raw videos captur... [more]
PRMU2019-92
pp.139-144
RCS 2019-10-25
16:05
Kanagawa Yokosuka Research Park [Encouragement Talk] Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] RCS2019-202
pp.133-138
RCS, SR, SRW
(Joint)
2019-03-06
10:55
Kanagawa YRP Performance Analysis for Nonlinear Separation Model with a Flexible Approximation
Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2018-292
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] RCS2018-292
pp.61-66
SP, IPSJ-SLP
(Joint)
2018-07-26
16:15
Shizuoka Sago-Royal-Hotel (Hamamatsu) Ladder Network Driven from Auditory Computational Model for Multi-talker Speech Separation
Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo) SP2018-18
This paper introduces ladder network implementation induced by auditory computational model for multi-talker speech sepa... [more] SP2018-18
pp.9-13
CQ 2018-01-19
11:45
Tokyo NII Spatio-Temporal Mobile Call Demand Estimation in the Kumamoto Earthquakes
Lei Zhong (NII), Kiyoshi Takano (UTokyo), Kunikazu Yoda, Yusheng Ji, Shigeki Yamada (NII) CQ2017-94
Due to the increasing importance of mobile communications in disaster mitigation and relief, it is very critical to be a... [more] CQ2017-94
pp.51-56
LQE, LSJ 2017-05-25
15:40
Ishikawa   [Invited Talk] Ultra-high intensity, repetitive J-KAREN-P laser system at QST
Hiromitsu Kiriyama, Mamiko Nishiuchi, Alexander Pirozhkov, Yuji Fukuda, Hironao Sakaki, Akito Sagisaka, Nicholas Dover, Kotaro Kondo, Keita Nishitani, Koichi Ogura, Michiaki Mori, Yasuhiro Miyasaka, Masaki Kando, Kiminori Kondo (QST) LQE2017-5
The OPCPA/Ti:sapphire hybrid laser system (named J-KAREN-P laser system) at QST is an infrastructure aiming to realize e... [more] LQE2017-5
pp.21-23
IBISML 2017-03-07
14:00
Tokyo Tokyo Institute of Technology CTC network with explicit representation vector of Markov property
Yuta Kawachi, Taichi Asami, Yoshikazu Yamaguchi, Yushi Aono (NTT) IBISML2016-111
Current neural acoustic models are incapable of utilizing language resources except speech transcriptions. So toward the... [more] IBISML2016-111
pp.83-88
MBE, NC
(Joint)
2016-03-22
16:10
Tokyo Tamagawa University A Connectivity Analysis in Intractable Temporal Lobe Epilepsy.
Yasuto Yoshioka, Hisashi Yoshida, Masaharu Miyauchi, Naoki Nakano, Amami Kato (Kinki Univ.) MBE2015-115
We propose the connectivity analysis using cross-correlation function which we established to visualize quantitative con... [more] MBE2015-115
pp.67-72
MBE, NC
(Joint)
2015-12-19
14:25
Aichi Nagoya Institute of Technology Differences of auditory neural responses among cortical fields and layers in the rat auditory cortex
Takeaki Haga, Takashi Tateno, Jun Nishikawa (Hokkaido Univ.) NC2015-49
The auditory cortex has an important role for auditory processing in the brain. Although the auditory cortex has multi l... [more] NC2015-49
pp.19-24
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-19
15:20
Okinawa Okinawa Industry Support Center Selective adaptation of subjective synchrony between vocal-auditory modalities
Kosuke Yamamoto, Hideaki Kawabata (Keio Univ.) HCS2015-15 HIP2015-15
Prolonged exposure to a temporal gap between multisensory stimuli induces the recalibration of subjective synchrony. Whe... [more] HCS2015-15 HIP2015-15
pp.115-120
NLP 2015-03-03
13:00
Hyogo Hyogo Prefecture Citizens' Hall Diffusion of disease on a dynamic temporal network
Koshi Abe, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi (Tokyo Univ of Science) NLP2014-143
Ebola out break in Western Africa and Dengue pandemic have attracted much attention.To avoid spreads and break-outs of i... [more] NLP2014-143
pp.1-6
NS, IN
(Joint)
2014-03-07
11:40
Miyazaki Miyazaki Seagia Proposal of storing flow data for retrieval of arbitrary spatio-temporal granularity
Yoshihiro Tsuji, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2013-176
In this paper, we propose a method to monitor and store the traffic information with any spatio-temporal granularity. In... [more] IN2013-176
pp.193-198
TL 2013-08-04
17:05
Osaka Kwansei Gakuin University, Osaka Umeda Campus Temporal distance between the cause and the effect affects the reading of causality sentences -- Eye-tracking evidence --
Yingyi Luo, Manami Sato, Hiromu Sakai (Hiroshima Univ.) TL2013-40
Causal inference, a fundamental cognitive process with relatedness and temporal ordering of the events computed, can be ... [more] TL2013-40
pp.139-144
PRMU 2013-06-10
13:00
Tokyo   Detection of Lung nodules on temporal subtraction based on non-rigid image registration and development of software for image viewer
Yuriko Ikeda (Yoshikawa Kogyo), Takumi Tokisa, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (KIT) PRMU2013-19
A temporal subtraction technique that is subtracted from previous image to current one is introduced as powerful tools i... [more] PRMU2013-19
pp.1-4
MI 2012-10-29
09:45
Yamaguchi Yamaguchi Univ. A Temporal Subtraction Technique for 3-D Non-rigid Warping Method Based on Free Form Deformation from Thoracic MDCT Image
Takumi Tokisa, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa (kyutech), Seiichi Murakami (kyutech/UOEH), Takatoshi Aoki (UOEH), Yasushi Hirano, Shoji Kido (Yamaguchi Univ), Rie Tachibana (OCMT) MI2012-49
A temporal subtraction technique that is subtracted from previous image to current one is introduced as powerful tools i... [more] MI2012-49
pp.11-16
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