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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MICT, EMCJ
(Joint)
2022-03-04
16:25
Online Online A synchronized measurement system for WBAN channel modeling by human motion parameters
Akira Saito, Takahiro Aoyagi (Tokyo Tech) MICT2021-111
The development of WBAN channel models requires a lot of experiments and simulations. In order to reduce the number of e... [more] MICT2021-111
pp.53-58
PRMU 2021-12-17
10:30
Online Online Automatic estimation of sleep state by multi-view video analysis
Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] PRMU2021-44
pp.107-112
CCS 2021-11-18
16:00
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
Effects of spike transmission delay in spiking reservoir networks
Satsuki Tamura, Tsubo Yasuhiro (Ritsumeikan Univ.) CCS2021-22
Spiking neural network is expected as a candidate of information processing systems with low-energy consumption. However... [more] CCS2021-22
pp.26-30
NC, MBE
(Joint)
2021-03-03
15:35
Online Online A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model
Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51
For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables c... [more] NC2020-51
pp.47-52
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks
Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.) IBISML2018-83
Reservoir Computing (RC) has recently attracted much attention as brain-like information processing for high-speed learn... [more] IBISML2018-83
pp.293-299
MBE, NC
(Joint)
2018-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. A supervised learning rule of the pulsed neuron model for the arrival order recognition of the pulses
Yuka Shimomura, Susumu Kuroyanagi (NIT) NC2017-73
This research aims at extracting temporally large features in order to enable recognition of time series information. In... [more] NC2017-73
pp.33-38
SIS 2017-12-14
14:10
Tottori Tottori Prefectural Center for Lifelong Learning Haze removal algorithm for time-varying haze images
Tatsuya Hamamura, Shinnosuke Ishida, Tomoaki Kimura, Hiroyuki Tsuji (KAIT) SIS2017-39
Outdoor images are often degraded by some atmospheric phenomena such as haze, fog, smoke, etc. The algorithm of recoveri... [more] SIS2017-39
pp.33-37
MBE, NC
(Joint)
2014-12-13
13:40
Aichi Nagoya University A Learning Method for Extended SpikeProp without Redundant Spikes -- A Discussion on Time Delay --
Takashi Matsumoto, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka (Mie Univ) NC2014-52
SpikeProp, which is proposed by Booij,
is a kind of spiking neural networks.
It can learn the timing of output spik... [more]
NC2014-52
pp.49-53
NC 2011-07-26
09:30
Hyogo Graduate School of Engineering, Kobe University Statistical estimation of non-uniform dendritic membrane properties
Toshiaki Omori (Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Tech.), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-32
We propose a statistical algorithm for extracting non-uniform dendritic membrane properties from partially observable no... [more] NC2011-32
pp.65-70
ET 2010-10-30
14:30
Okayama Okayama University of Science Towards Clustering Learners by Analyzing Sentences from Time-Series Comments of Classroom -- Proposal for a PCN Method --
Kazumasa Goda (KIIS), Tsunenori Mine (Kyushu Univ.) ET2010-46
In this paper we analyze writings in the classroom such as summaries, reviews, or comments on the class, and propose a m... [more] ET2010-46
pp.25-30
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