Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CAS, CS |
2023-03-01 11:45 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Demodulation from Meta-Learning with Few Pilot Symbols in Massive Sensor Networks Kuniyasu Yamamoto, Tomotaka Kimura, Jun Chen (Doshisha Univ.) CAS2022-101 CS2022-78 |
Demodulation from meta-learning with few pilot symbols in massive sensor networks is proposed. In the massive sensor net... [more] |
CAS2022-101 CS2022-78 pp.29-34 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] |
EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
SRW, SeMI, CNR (Joint) |
2021-11-26 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes Yuma Tsurugasaki, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SRW2021-50 SeMI2021-49 CNR2021-24 |
Machine learning using electroencephalographs (EEG) data can be used to infer various human states such as emotions and ... [more] |
SRW2021-50 SeMI2021-49 CNR2021-24 pp.79-81(SRW), pp.66-68(SeMI), pp.56-58(CNR) |
IA, IN (Joint) |
2020-12-15 11:40 |
Online |
Online |
Application Identification Method with Meta-Learning Shun Tobiyama, Bo Hu, Kazunori Kamiya (NTT), Kenji Takahashi (NTT Ltd.) IN2020-40 |
With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network se... [more] |
IN2020-40 pp.43-48 |
IBISML |
2020-01-09 13:50 |
Tokyo |
ISM |
Dimensionality reduction method for gaussian process posteriors based on information geometry Hideaki Ishibashi (Kyutech), Shotaro Akaho (AIST/RIKEN) IBISML2019-20 |
This paper proposes an extension of principal component analysis for gaussian process posteriors which is denoted by GP-... [more] |
IBISML2019-20 pp.17-24 |
NC |
2015-01-29 16:30 |
Fukuoka |
Kyushu Institute of Technology |
Implementation of the higher-rank of SOM using formal neurons Yuta Saho, Kiyohisa Natsume, Tetsuo Furukawa (Kyutech) NC2014-62 |
The purpose of this work is building a neural network model which performs meta-model learning. The term `meta-model lea... [more] |
NC2014-62 pp.27-32 |
ET |
2014-03-08 09:40 |
Kochi |
Kochi National College of Technology |
Learner Modeling Based on Presentation Design Activities Yuki Taniguchi, Kazuhisa Seta (OPU), Mitsuru Ikeda (JAIST) ET2013-92 |
In this study, we aim to develop a learning system for cultivate learning attitude based on performance of presentation ... [more] |
ET2013-92 pp.1-6 |
ET |
2011-05-14 13:30 |
Osaka |
|
Meta-Learning Support for Knowledge Creation Processes in Learning by Capturing the Enhancement of Learner's Intrinsic Motivation Minoru Fujiwara, Chihiro Hara, Daijiro Noguchi, Kazuhisa Seta (Osaka Pref Univ) ET2011-9 |
In this paper, we propose a meta-learning support system for knowledge creation in learning processes. When learners try... [more] |
ET2011-9 pp.47-52 |
ET |
2010-11-26 11:35 |
Tokyo |
Tokyo Institute of Technology |
Experiment of Presentation Based Meta-Leraning Support System in a Graduate School Lecture Daijiro Noguchi, Kazuhisa Seta (Osaka Pref. Univ.), Mitsuru Ikeda (JAIST) ET2010-54 |
As described in this paper, firstly we propose a presentation-based meta-learning scheme and presentation based meta-lea... [more] |
ET2010-54 pp.31-36 |
NC |
2009-01-19 17:25 |
Hokkaido |
Hokkaido Univ. |
Reinforcement Meta-learning rule solves the distal reword problem Shojiro Araki (Tamagawa Univ), Yutaka Sakai (Tamagawa Univ. Brain Scie Inst.) NC2008-95 |
It is known that spike-timing-dependent synaptic plasticity (STDP) epends on the initial strength of the synapse, and th... [more] |
NC2008-95 pp.79-83 |
NLP |
2006-03-21 11:40 |
Tokyo |
Hosei Univ.(Ichigaya Campus) |
Evaluating progress of reinforcement learning using recurrence plots Tetsuya Takahashi, Masaharu Adachi (TDU) |
(To be available after the conference date) [more] |
NLP2005-155 pp.25-30 |
ET |
2006-03-04 11:20 |
Kagawa |
|
Evaluation of Meta-Learning with Hypertext-based Contents Akihiro Kashihara, Kazuaki Taira, Masayuki Shinya (UEC) |
Learning how to learn, which is called meta-learning, plays a crucial role particularly in a self-directed learning such... [more] |
ET2005-105 pp.17-22 |