Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2021-11-18 16:25 |
Osaka |
Osaka Univ. (Primary: On-site, Secondary: Online) |
Memory Efficient Training of Neural ODE by Symplectic Adjoint Method Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) CCS2021-23 |
Neural ODE learns an ordinary differential equation using neural networks, thereby modeling a continuous-time dynamics a... [more] |
CCS2021-23 pp.31-36 |
EA, ASJ-H |
2021-07-15 10:20 |
Online |
Online |
Substitution effect of frequency conversion method for filtered-x LMS algorithm applied to active sinusoidal noise control Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2021-3 |
In this paper, we verify the substitution effect of frequency conversion method for filtered-x LMS algorithm applied to ... [more] |
EA2021-3 pp.10-17 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:25 |
Online |
Online |
Training Neural ODE by Symplectic Integrator Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) NC2021-2 IBISML2021-2 |
A differential equation model using neural networks, neural ODE, enables use to model a continuous-time dynamics and pr... [more] |
NC2021-2 IBISML2021-2 pp.9-14 |
MSS, NLP (Joint) |
2020-03-09 09:50 |
Aichi |
(Cancelled but technical report was issued) |
A Distributed Algorithm for Solving Sandberg-Willson Equations Based on Sequential Minimization of Convex Quadratic Functions Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-115 |
We propose a new distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-know... [more] |
NLP2019-115 pp.13-18 |
MSS, NLP (Joint) |
2020-03-09 10:15 |
Aichi |
(Cancelled but technical report was issued) |
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116 |
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] |
NLP2019-116 pp.19-23 |
SANE, SAT (Joint) |
2015-02-18 09:30 |
Okinawa |
Okinawaken Shichoson Jichikaikan |
Radar Data Assimilation for Tsunami Simulation Model Tetsutaro Yamada, Hiroaki Ishikawa, Takafumi Nagano, Takayuki Nakanishi, Taizo Isono (Mitsubishi Electric) SANE2014-128 |
It is expected that wave height value of tsunami is estimated far out at sea using a Doppler radar for a tsunami warning... [more] |
SANE2014-128 pp.1-6 |
SIS, IPSJ-AVM |
2010-09-03 13:50 |
Nagasaki |
Nagasakiken-Kinrou-Fukushi-Kaikan |
A study on convergence rate improvement of equation-error IIR ADF based on independence between desired signal and disturbance Tatsuya Higuchi, Naoto Sasaoka (Tottori Univ.), Eiji Kuno (Polytechnic Univ.), James Okello (NEC), Yoshio Itoh (Tottori Univ.), Masaki Kobayashi (Chubu Univ.) SIS2010-32 |
We have proposed an EQ-E (EQuation-Error adaptive algorithm) based on independence between a desired signal and disturba... [more] |
SIS2010-32 pp.93-98 |
SP, EA, SIP |
2010-05-27 14:30 |
Hyogo |
Konan Univ. (Hirao Seminar House) |
Application of frequency domain adaptive algorithm to system identification by recursive and non-recursive cascade connection Yusuke Kuwahara, Junji Hizawa, Kensaku Fujii (Univ. of Hyogo.), Mitsuji Muneyasu (Kansai Univ), Masakazu Morimoto (Univ. of Hyogo.) EA2010-19 SIP2010-19 SP2010-19 |
This paper proposes a new method for identifying unknown systems expressed by the cascade arrangement of recursive and n... [more] |
EA2010-19 SIP2010-19 SP2010-19 pp.109-114 |
NC |
2009-01-19 14:20 |
Hokkaido |
Hokkaido Univ. |
Experimental Study of Bayesian Learning using Langevin Equation in Singular Learing Machines Taruhi Iwagaki, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-88 |
Langevin equation implies an algorithm that could make samples from the stationary distribution of a biased random walk ... [more] |
NC2008-88 pp.37-42 |
SIS, SIP, IPSJ-AVM |
2008-09-26 14:15 |
Fukuoka |
Tobata Campus, Kyushu Institute of Technology |
A Study on Improvement in Convergence Speed of Equation Error Algorithm with Estimation of Correlation Ryuichi Kanagawa, Naoto Sasaoka (Tottori Univ.), Eiji Kuno (Polytechnic Univ.), James Okello (NEC), Yoshio Itoh (Tottori Univ.), Masaki Kobayashi (Chubu Univ.), Sumio Tsuiki (Tottori Univ.) SIP2008-103 SIS2008-38 |
We have proposed an equation error adaptive algorithm (EQ-E) based on correlation for an infinite impulse response (IIR)... [more] |
SIP2008-103 SIS2008-38 pp.77-82 |
SIS |
2008-06-12 13:10 |
Hokkaido |
|
A Study on Equation Error Algorithm Based on Estimating Correlation Function with Variable Delay for Noise Robust Naoto Sasaoka, Ryuichi Kanagawa (Tottori Univ.), Eiji Kuno (Polytechnic Univ.), James Okello (NEC), Yoshio Itoh (Tottori Univ.), Masaki Kobayashi (Chubu Univ.) SIS2008-6 |
In this paper, we propose an Equation error adaptive algorithm (EQ-E) for an infinite impulse response (IIR) adaptive di... [more] |
SIS2008-6 pp.29-34 |
EA |
2005-01-28 10:30 |
Osaka |
Kansai Univ. |
A Method to Update the Coefficients of Feedback Control Filter Using Frequency Domain Simulataneous Equations Method under Active Noise Control Yusuke Iwamatsu, Kensaku Fujii (HIT), Mitsuji Muneyasu (Kansai University) |
This paper proposed a method to update the coefficients of feedback control filter using frequency domain simulataneous ... [more] |
EA2004-127 pp.15-20 |