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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 #
NC, MBE
(Joint)
2020-03-05
10:20
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
An extension of the H_infinity learning to deep neural networks
Yasuhiro Sugawara, Kiyoshi Nishiyama (Iwate University) NC2019-92
In recent years, deep neural networks have achieved remarkable research results. In this study, we propose a method to e... [more] NC2019-92
pp.95-100
EA, ASJ-H 2015-08-03
16:20
Miyagi Tohoku Univ., Research Inst. of Electrical Communication Transaural System using J-FHF for Inverse Identification of a Two-input Two-output System
Katsuaki Satoh, Yasuhiro Terada, Tomonori Kastumata (A.R.I.Co.,), Kiyoshi Nishiyama (Iwate Univ.) EA2015-16
Abstract It is necessary to determine the inverse filters of transfer functions for cancelling crosstalk to play back a ... [more] EA2015-16
pp.35-40
NC, MBE
(Joint)
2014-03-18
13:20
Tokyo Tamagawa University Acquisition of Cooperative and Competitive Behaviors in a Two-Players Soccer Game
Takao Satou, Kiyoshi Nishiyama (Iwate Univ.) NC2013-137
The acquisition of an autonomous agent's action rule is a very interesting topic in the field of machine learning. The s... [more] NC2013-137
pp.281-286
PRMU, SP 2012-02-10
09:00
Miyagi   Lip Tracking Based on a Curved Gaussian Density
Xin Lu, Kiyoshi Nishiyama (Iwate Univ.) PRMU2011-220 SP2011-135
A deformable tracker based on curved Gaussian density is proposed to improve the accuracy and robustness of lip tracking... [more] PRMU2011-220 SP2011-135
pp.143-148
NC, MBE
(Joint)
2009-03-13
10:45
Tokyo Tamagawa Univ. Acquirement of a Control Strategy of Echo Cancellers by Reinforcement Learning -- A Case When the NLMS Algolithm is Used --
Naohito Hakoishi, Kiyoshi Nishiyama (Iwate Univ.) NC2008-152
Echo cancellers need not only performance improvement of an adaptive filter but also its control for double talks in pra... [more] NC2008-152
pp.291-295
NC, MBE
(Joint)
2008-03-12
17:10
Tokyo Tamagawa Univ The Dependence of EM Algorithm on Initial Conditions
Xin Lu, Kiyoshi Nishiyama (Iwate Univ.) NC2007-128
The EM algorithm is considered as a methodology that the problem of incomplete data is solved by the framework of comple... [more] NC2007-128
pp.97-102
PRMU, HIP 2007-02-23
17:00
Kanagawa   Asymptotic Efficiency of Maximum Likelihood Estimation in Face Tracking Model Identification
Xin Lu, Kiyoshi Nishiyama (Iwate Univ.)
This paper discusses the asymptotic efficiency of the maximum likelihood estimation (MLE) when the face tracking model i... [more] PRMU2006-234 HIP2006-127
pp.73-77
MBE 2005-03-28
13:30
Tokyo Tamagawa Univ. Motion Learning and Speech-Motion Association on the Basis of the H∞-Learning -- A Challenge to Development of Smart Learning System --
Kiyoshi Nishiyama, Daisuke Noheji, Tomoaki Yamada (Iwate Univ.)
Extracting the skills of craftsmen will be a key issue in the development of intelligent robots.
In this work, focusing... [more]
MBE2004-104
pp.33-36
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