Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
QIT (2nd) |
2023-12-17 17:30 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reducing Quantum Communication Complexity of Linear Regression Sayaki Matsushita (Nagoya) |
Quantum coordinator model is a model that has a referee and multiple parties that can only communicate with the referee.... [more] |
|
NLP |
2022-08-02 11:15 |
Online |
Online |
[Invited Talk]
Dimensionality reduction of dynamical systems via Koopman operator theory and applications to nonlinear rhythms Hiroya Nakao (Tokyo Tech.) NLP2022-31 |
A method of dimensionality reduction for nonlinear dynamical systems via the Koopman operator theory and its application... [more] |
NLP2022-31 pp.24-26 |
SWIM, SC |
2021-08-27 13:35 |
Online |
Online |
An anomaly detection method to reduce the effect of concept drift Jaiswal Satish Kumar, Masuda Mineyoshi (Hitachi) SWIM2021-20 SC2021-18 |
There is an increasing trend to use machine learning models for monitoring anomalous behavior of CPU, memory,
network, ... [more] |
SWIM2021-20 SC2021-18 pp.46-51 |
HWS, VLD [detail] |
2021-03-04 13:50 |
Online |
Online |
Design and Evaluation of Efficient AES S-box Hardware with Optimization of Linear Mappings Ayano Nakashima, Rei Ueno, Naofumi Homma (Tohoku Univ.) VLD2020-84 HWS2020-59 |
This paper presents a new AES S-Box hardware design based on the optimization of linear mappings by combining multiplica... [more] |
VLD2020-84 HWS2020-59 pp.91-96 |
CQ, CBE (Joint) |
2021-01-21 16:00 |
Online |
Online |
[Poster Presentation]
Object Number Recognition Using OpenCV Based on Object Detection Sensor Response Yuto Ohashi, Shino Shiraki, Takuhiro Uehara, Shigeo Shioda (Chiba Univ.) CQ2020-78 |
This paper discusses a technique for automatically recognizing the number of objects in a monitoring area based on senso... [more] |
CQ2020-78 pp.70-71 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo |
NHK Science & Technology Research Labs. |
[Poster Presentation]
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40 |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal t... [more] |
SP2019-40 pp.67-72 |
RCS |
2019-10-25 16:05 |
Kanagawa |
Yokosuka Research Park |
[Encouragement Talk]
Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202 |
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] |
RCS2019-202 pp.133-138 |
PN, NS, OCS (Joint) |
2017-06-15 15:55 |
Akita |
Akita Univ. |
[Invited Talk]
Nonlinear Fourier Transformation and Its Application to Optical Fiber Communication Akihiro Maruta (Osaka Univ.) PN2017-9 |
The nonlinear Schrödinger equation (NLSE) is a widely used mathematical model which describes behaviors of a comple... [more] |
PN2017-9 pp.19-26 |
MW |
2016-06-23 13:00 |
Gifu |
Gifu Univ. |
Vector Fields Depicted by Linear Two-Port Circuits on the Smith Chart Kyohei Yamada, Shinji Abe, Naoki Sakai, Takashi Ohira (Toyohashi Univ. Tech.) MW2016-30 |
From the viewpoint of impedance transformation, the characteristic of a linear two-port network is determined by the imp... [more] |
MW2016-30 pp.1-5 |
PRMU, SP, WIT, ASJ-H |
2016-06-13 09:30 |
Tokyo |
|
Image recognition based on discriminative models using features generated from separable lattice HMMs Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2016-36 SP2016-2 WIT2016-2 |
One of the major problems in image recognition is degradation in the recognition performance caused by geometric variati... [more] |
PRMU2016-36 SP2016-2 WIT2016-2 pp.7-12 |
SP, IPSJ-SLP (Joint) |
2015-07-16 17:20 |
Nagano |
Katakura Suwako Hotel |
Experimental evaluation of network size effect in speaker adaptive trained DNNs embedding linear transformation networks Tsubasa Ochiai (Doshisha Univ./NICT), Shigeki Matsuda (Doshisha Univ.), Hideyuki Watanabe, Xugang Lu, Hisashi Kawai (NICT), Shigeru Katagiri (Doshisha Univ.) SP2015-41 |
Recently we proposed a novel speaker adaptation method that applied the Speaker Adaptive Training
(SAT) concept to DNN-... [more] |
SP2015-41 pp.31-36 |
NLP |
2015-01-26 16:45 |
Oita |
Compal Hall |
A chaotic spiking oscillator circuit that acts as a filter of spike trains Masatoshi Yamaguchi, Seiji Uenohara, Takashi Morie (KIT) NLP2014-126 |
We propose a CMOS circuit that implements a chaotic spiking oscillator model, which acts as a filter of spike trains. T... [more] |
NLP2014-126 pp.77-82 |
AP, WPT (Joint) |
2014-10-15 15:45 |
Hokkaido |
Hokkaido University, Clark Memorial Student Center |
Efficiency of Rectify Circuit with Matching Circuit for Wireless Power Transfer Satoshi Suzuki, Shinji Abe, Qiaowei Yuan (SNCT) WPT2014-37 |
Rectifying efficiency is extremely important parameter in Wireless Power Transfer system.
Rectifier’s efficiency is aff... [more] |
WPT2014-37 pp.11-14 |
MW, SCE, WPT |
2014-04-18 15:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Study on Non-Linear Impedance Estimation by Using Moebius Transformation Shinji Abe, Satoshi Suzuki, Qiaowei Yuan (Sendai NCT) WPT2014-21 SCE2014-21 MW2014-21 |
It is extremely difficult to measure non-linear impedance by the conventional methods, such as using network analyzer.
... [more] |
WPT2014-21 SCE2014-21 MW2014-21 pp.109-114 |
NC |
2014-01-20 15:05 |
Fukuoka |
Kyusyu Institute of Technology |
Analyses of the optimal timing to change the running direction in the parking problem
-- An automated tricycle model with the linearized path tracking control and its target axis rotation -- Takuro Ishikawa, Hiroaki Wagatsuma (Kyushu Inst. of Tech.) NC2013-74 |
In this study, we investigated methods for steering systems with nonholonomic and environmental constraints based on the... [more] |
NC2013-74 pp.43-48 |
PRMU |
2013-12-13 09:30 |
Mie |
|
Explicit Local Linear Method for 2D Affine Image Registration Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-82 |
We introduce a local linear method using local linear property of affine transformed images for global
image registrati... [more] |
PRMU2013-82 pp.85-90 |
IE, EMM, LOIS, IEE-CMN, ITE-ME [detail] |
2013-09-13 14:30 |
Kumamoto |
|
A Linear Transformation method in Consideration of Conservation of Energy Hitoshi Yamauchi, Koichi Ozaki, Yoichiro Sato, Tadao Fukuta, Kiyotaka Obunai (Okayama Prefectural Univ.) LOIS2013-23 IE2013-44 EMM2013-66 |
We proposed a nobel image interpolation method, previously. In this method, pixel values are assumed as local area ener... [more] |
LOIS2013-23 IE2013-44 EMM2013-66 pp.91-96 |
SP, IPSJ-SLP (Joint) |
2013-07-25 17:30 |
Miyagi |
Soho (togatta spa) |
Voice conversion using piecewise linear transformation with long-span features and state discrimination of the target speaker Jun Ikeshima, Masayuki Suzuki, Daisuke Saito, Nobuaki Minematsu, Keikichi Hirose (Univ. of Tokyo) SP2013-56 |
A method has been proposed for voice conversion. It is based on piecewise linear transformation with long time-span fea... [more] |
SP2013-56 pp.19-24 |
RCS, SR, SRW (Joint) |
2013-02-27 10:00 |
Tokyo |
Waseda Univ. |
Block Diagonalization Precoder with Projection Method for Multiuser MIMO Systems Takuro Yoshida, Leonardo Lanante Jr. (Kyushu Inst. of Tech.), Yuhei Nagao (Radrix), Masayuki Kurosaki, Baiko Sai, Hiroshi Ochi (Kyushu Inst. of Tech.) RCS2012-287 |
In this paper, we propose a block diagonalization (BD) method with projection method and QR decomposition (QRD) for supp... [more] |
RCS2012-287 pp.19-24 |
SR, AN, USN, RCS (Joint) |
2012-10-19 16:45 |
Fukuoka |
Fukuoka univ. |
Precoding Weight Interpolation Method to Mitigate Spectrum Efficiency Loss of Vector Perturbation Based Multiuser MIMO with Limited CSI Feedback Yafei Hou, Satoshi Sonobe, Satoshi Tsukamoto, Kazuto Yano, Masahiro Uno, Kiyoshi Kobayashi (ATR) RCS2012-159 |
Vector perturbation (VP) algorithm requires perfect channel state information (CSI) for optimal perturbation vector sea... [more] |
RCS2012-159 pp.195-200 |