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 |