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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluation of Effect of Scatterer Shape on Incident Sound Field Estimation Based on Kernel Interpolation Shihori Kozuka (NTT), Shoichi Koyama (NII), Hiroaki Itou, Noriyoshi Kamado (NTT)  EA2023-69 SIP2023-116 SP2023-51 |
Techniques for estimating the incident sound field using multiple microphones are effective for spatial sound field cont... [more] | EA2023-69 SIP2023-116 SP2023-51 pp.51-56 |
| EE | 2023-01-20 14:15 |
Fukuoka | Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
Consideration on Air Conditioning Power Consumption Model by Regression Method Tsuyoshi Nishitani, Kazuki Ikeda, Yuto Iwasaki, Aoi Tanaka, Kazuto Yukita, Tokimasa Goto, Katsunori Mizuno, Yasuyuki Goto (AIT) EE2022-50 |
Energy conservation is required in the electrical energy field to realize a stable energy supply and carbon neutrality. ... [more] | EE2022-50 pp.133-138 |
| R | 2022-10-07 15:50 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Bayesian ridge estimator based on vine copula-based priors Hirofumi Michimae (Kitasato Univ.), Takeshi Emura (Kurume Univ.) R2022-38 |
Ridge regression is a method that alleviates the multicollinearity problem and stably estimates the regression coefficie... [more] | R2022-38 pp.37-42 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 15:05 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47 |
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] | SeMI2022-47 pp.127-132 |
| EA | 2022-05-13 12:45 |
Online | Online | Directionally-weighted region-to-region kernel interpolation of acoustic transfer function Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2022-4 |
An interpolation method for the acoustic transfer function (ATF) for variable source and receiver points within regions ... [more] | EA2022-4 pp.18-19 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 13:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Filtered-X LMS algorithm based on individual interpolation of primary and secondary sound fields for spatial active noise control Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari (The Univ. of Tokyo) EA2021-84 SIP2021-111 SP2021-69 |
Spatial active noise control (ANC), which aims to reduce noise over a three-dimensional target region, has at- tracted a... [more] | EA2021-84 SIP2021-111 SP2021-69 pp.126-131 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-28 14:25 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
[Special Talk]
Infrastructure maintenance deta analysis
-- The survey of soundness judgement of bridges by machine learning -- Aoi Hasegawa, Yuki wakuda, Maiku Abe (Hokkaido Univ.), Hiromu Suzuki (NEXCO EAST) |
In this study, we investigate the use of machine learning to estimate the soundness of steel bridge RC slabs. Inspection... [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:20 |
Tokyo | Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification Yutaro Shigeto (CIT), Masashi Shimbo, Yuji Matsumoto (NAIST) PRMU2017-53 IBISML2017-25 |
This paper proposes an inexpensive way to learn an effective dissimilarity function to be used for $k$-nearest neighbor ... [more] | PRMU2017-53 IBISML2017-25 pp.113-119 |
|
| NC, MBE | 2015-03-17 13:50 |
Tokyo | Tamagawa University | Optimization of LASSO Learning using WAIC and Its Application to City Data Analysis Dai Miyazaki, Sumio Watanabe (Tokyo Tech) MBE2014-175 NC2014-126 |
LASSO(Least Absolute Shrinkage and Selection Operator) is a method adding a penalty term consisting of absolute values o... [more] | MBE2014-175 NC2014-126 pp.331-336 |
| CS, SIP, CAS | 2011-03-03 13:30 |
Okinawa | Ohhamanobumoto memorial hall (Ishigaki)( | Model Selection with Low Computational Costs in Kernel Ridge Regression Toru Takei, Akira Tanaka, Masaaki Miyakoshi (Hokkaido Univ.) CAS2010-133 SIP2010-149 CS2010-103 |
In kernel ridge regression with a given class of parameterized kernels, it is necessary to select a kernel parameter and... [more] | CAS2010-133 SIP2010-149 CS2010-103 pp.185-190 |
| AI | 2010-11-19 13:50 |
Fukuoka | Kyushu Univ. | Interactive genetic algorithm to estimate weight parameters of evaluate function Eitaro Ishikawa, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2010-37 |
In general, optimization method by using interactive evolutionary computation (IEC) is a well known technique to solve p... [more] | AI2010-37 pp.37-42 |
| RCS, SIP | 2008-01-25 09:50 |
Hiroshima | Hiroshima City Uni. | A leaky filtered-X RLS algorithm using an estimation error in the secondary path Satoshi Ochiai, Eisuke Horita (Kanazawa Univ.) SIP2007-164 RCS2007-167 |
A filtered-x algorithm has an issue that it can lead to an instability of an ANC system because of an error between the ... [more] | SIP2007-164 RCS2007-167 pp.39-44 |
| RCS, SIP | 2008-01-25 13:50 |
Hiroshima | Hiroshima City Uni. | A convergence analysis of a time-varying LRLS filter and its approximation filter Kazunori Nakagawa, Eisuke Horita (Kanazawa Univ.) SIP2007-178 RCS2007-181 |
A leaky RLS algorithm is needed to be set a parameter $\alpha$ for its correlation matrix to be regularized\cite{ref_2}\... [more] | SIP2007-178 RCS2007-181 pp.121-126 |
| CAS, SIP, CS | 2006-03-06 15:05 |
Okinawa | Univ of Ryukyu | On a convergence analysis of a leaky RLS filter and an approximate leaky RLS filter Hiromichi Sakai, Eisuke Horita (Kanazawa Univ.) |
In adaptive signal processing, an LRLS algorithm obtained by using a ridge regression is required to set an appropriate ... [more] | CAS2005-104 SIP2005-150 CS2005-97 pp.49-54 |
| CS, CAS, SIP | 2005-03-15 13:35 |
Okayama | Okayama Prefectural University | On a convergence property of a leaky RLS filter Yasuhiro Nakamura, Eisuke Horita (Kanazawa Univ.) |
In recent years, it has been reported that a Leaky RLS (LRLS) algorithm gives more accurate estimation parameters than a... [more] | CAS2004-113 SIP2004-156 CS2004-249 pp.93-98 |
| SIP | 2005-01-21 10:25 |
Aichi | Nagoya Institute of Technology | Characteristics of a leaky RLS filter and its application Eisuke Horita (Kanazawa Univ.) |
In recent years, it has been reported that a leaky RLS (LRLS) algorithm gives more accurate estimation parameters than ... [more] |
SIP2004-113 pp.19-23 |
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