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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 #
ITE-IDY, IEIJ-SSL, EID, SID-JC, IEE-EDD [detail] 2023-01-27
15:15
Online Online (Zoom) The effect of annealing on nanoparticle-dispersed (Zn,Mg)O thin films fabricated by mist CVD
Kyosuke Tanaka, Toshihiro Nara, Tsukasa Yagasaki, Riki Ito, Tetsuya Kouno, Hiroko Kominami, Kazuhiko Hara (Shizuoka Univ.) EID2022-7
ZnO nanoparticles dispersed (Zn,Mg)O thin films, were grown on an a-plane sapphire substrate by a mist CVD method using ... [more] EID2022-7
pp.13-16
MBE, NC
(Joint)
2018-03-14
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization
Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] NC2017-91
pp.139-144
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2016-07-06
14:55
Okinawa Okinawa Institute of Science and Technology Classification analysis of high-dimensional data based on L0-norm optimization.
Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14
Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] NC2016-14
pp.223-228
MBE, BioX 2014-09-12
13:30
Nagano Shinshu University Proposal of Digitization of Electroencephalogram by using Hilbert-Huang Transformation and its Application to Biometrics
Ryota Horie, Noriki Ito (Shibaura Inst. of Tech.) BioX2014-14 MBE2014-37
We proposed a new method to extract features from non-stationary EEG signals with long time context, like EEG during lis... [more] BioX2014-14 MBE2014-37
pp.23-26
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