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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Calculation method for grid-structured markov random field using corner transfer matrix renormalization group Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.)  IBISML2017-37 |
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] | IBISML2017-37 pp.15-22 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Convolutional Neural Network with Entanglement Entropy Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) IBISML2017-65 |
In this paper, we propose a CNN with a process to reduce unnecessary information to identify input data using entangleme... [more] | IBISML2017-65 pp.227-233 |
| PRMU | 2017-10-12 14:00 |
Kumamoto | Entanglement Entropic Convolutional Neural Network Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) PRMU2017-73 |
The neural network used for machine learning is an extract that extracts information necessary for classification from e... [more] | PRMU2017-73 pp.61-66 |
|
| SIP | 2017-08-24 14:40 |
Tokyo | Tokyo Denki University | Computational Complexity Reduction for Third-order Volterra Filter Based on Singular Value Decomposition and the Application to the Compensation of Third-order Nonlinear Distortions Yuya Nakahira, Kenta Iwai, Yoshinobu Kajikawa (Kansai Univ.) SIP2017-53 |
Nonlinear distortions of loudspeaker systems affect the sound quality and should be accordingly compensated by any lin... [more] |
SIP2017-53 pp.27-32 |
| CAS, CS | 2017-02-24 16:25 |
Shiga | A Study on Computational Complexity Reduction of Orthogonal Precoding for Sidelobe Suppression of OFDM Signals Hikaru Kawasaki, Takahiro Matsui, Masaya Ohta, Katsumi Yamashita (OPU) CAS2016-136 CS2016-97 |
N-continuous OFDM is a precoding method for sidelobe suppression of orthogonal frequency division multiplexing (OFDM) si... [more] | CAS2016-136 CS2016-97 pp.123-127 |
|
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Online algorithm of swallowing detection using close-range depth sensor Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ) PRMU2016-183 CNR2016-50 |
We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence for cont... [more] |
PRMU2016-183 CNR2016-50 pp.163-164 |
|
| MI, MICT | 2016-09-16 15:10 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | Object Oriented Data Analysis for Volumetric Medical Data using Multiway Principal Component Analysis Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) MICT2016-43 MI2016-57 |
For object oriented data analysis of volumetric medical data, we introduce principal component analysis for the third or... [more] | MICT2016-43 MI2016-57 pp.41-46 |
| PRMU, BioX | 2016-03-25 16:15 |
Tokyo | Tensor-Based Methods for Dimension Reduction of Volumetric Data Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) BioX2015-74 PRMU2015-197 |
Tensor-based methods enjoy linear reduction of hyper-volumetric data. In this paper, we deal with tensor-to-tensor proje... [more] | BioX2015-74 PRMU2015-197 pp.197-202 |
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| CS, CAS | 2016-02-25 13:55 |
Wakayama | Laforet Nanki-Shirahama Hotel | A Study on Computational Complexity Reduction of Orthogonal Precoding for Cognitive Radio Systems Hikaru Kawasaki, Masaya Ohta, Katsumi Yamashita (Osaka Pref. Univ.) CAS2015-81 CS2015-86 |
その研究内容はこちらになりまして、信号処理アルゴリズムという理論面とそのFPGAによる実装面の両方の研究を行っています。 これによって有限である周波数資源を効率的に利用し，トラヒック増大の問題を解決したいと考えています。 Ort... [more] |
CAS2015-81 CS2015-86 pp.7-11 |
| RCS, IT, SIP | 2016-01-19 10:35 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Multiscale Transform for Dynamic Graph Signals Yohei Uchizono, Akie Sakiyama, Yuichi Tanaka (TUAT) IT2015-90 SIP2015-104 RCS2015-322 |
In this report, we propose a multiscale transform for dynamic graph signals which consist of time varying signals locate... [more] | IT2015-90 SIP2015-104 RCS2015-322 pp.231-236 |
| SP, IPSJ-SLP (Joint) |
2015-07-16 16:20 |
Nagano | Katakura Suwako Hotel | Sequence Discriminative Training for Low-Rank Deep Neural Networks Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John Hershey (MERL) SP2015-39 |
Deep neural network (DNN) acoustic models outperform conventional Gaussian mixture model (GMM) but the number of paramet... [more] | SP2015-39 pp.19-24 |
| PRMU, MI, IE, SIP | 2015-05-15 09:30 |
Mie | Second-Order Tensor Principal Component Analysis Meets Two-Dimensional Singular Value Decomposition Hayato Itoh, Atsushi Imiya, Tomoya Sakai (Chiba Univ.) SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14 |
We show that the second-order tensor principal component analysis is theoretically equivalent to the two-dimensional sin... [more] | SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14 pp.71-75 |
|
| SWIM | 2015-02-27 16:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Similarity between Web Sites based on Users' viewing histories
-- Comparison of effects of dimension reduction by SVD and ICA -- Yuka Aoki, Kouichi Matsuda (Otsuma Univ.), Akikazu Takeuchi (So-net) SWIM2014-32 |
This paper reports and discusses similarity between web sites based on user’s viewing histories in Web adverting logs. W... [more] | SWIM2014-32 pp.31-36 |
| US | 2014-09-29 15:25 |
Yamagata | Yamagata Univ. Yonezawa Campus | Beam synthesis by the singular value decomposition of the transfer matrix of the ultrasound imaging system Toshiki Namikata, Naoya Kurihara, Hirotaka Yanagida, Yasutaka Tamura (Yamagata Univ.) US2014-48 |
We investigated a method to synthesize the desired beam shape for ultrasound imaging systems based on the SVD(singular v... [more] | US2014-48 pp.29-34 |
| SIS | 2012-06-14 11:20 |
Hokkaido | Tokachi Plaza (Obihiro City) | High-Speed and Low-Power Design of a Singular Value Decomposition Processor for SVD-MIMO-OFDM Systems Hiroki Iwaizumi (HU), Shingo Yoshizawa (KIT), Yoshikazu Miyanaga (HU) SIS2012-3 |
In this paper, we propose a processor for singular value decomposition (SVD) and compression/reconstruction of feedback ... [more] | SIS2012-3 pp.13-18 |
| IN, IA (Joint) |
2011-12-16 11:25 |
Hiroshima | Hiroshima City University | Adaptive Short Term Prediction of JPIX Traffic Volume based on the Singular Value Decomposition Hirohisa Hamada, Hirotaka Ishibashi, Masato Yamashita, Kazuo Yana (Hosei Univ.) IN2011-116 |
This paper proposes an adaptive method for the JPIX (Japan Internet Exchange) network traffic prediction. Singular value... [more] | IN2011-116 pp.55-59 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 11:00 |
Hokkaido | A study on estimation for position and rotation in mobile robots by motion parameters based on memorized image and a current image Tatsuya Shoji, Yoshinobu Hagiwara, Hiroki Imamura (Soka Univ.) PRMU2011-64 IBISML2011-23 |
In this paper, we describe a method that estimates position and rotation of mobile robots by using a motion parameter be... [more] | PRMU2011-64 IBISML2011-23 pp.43-49 |
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| SIS | 2011-06-09 14:40 |
Okinawa | Ishigaki Health & Wellness Center | Development of a Singular Value Decomposition Processor Using ASIP Architecture for Large MIMO Wireless Systems Takaya Kaji, Shingo Yoshizawa, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2011-10 |
Beamforming using SVD-MIMO suppresses signal interference among antennas, and improves MIMO communication quality. In th... [more] | SIS2011-10 pp.47-52 |
| PRMU, SP, MVE, CQ | 2010-01-22 10:30 |
Kyoto | Kyoto Univ. | A contrast adjustment of capsule endoscopic images by using singular value decomposition Yasuhiro Yamamoto, Tomio Echigo (Osaka Electro Comm Univ.) CQ2009-95 PRMU2009-194 SP2009-135 MVE2009-117 |
(To be available after the conference date) [more] | CQ2009-95 PRMU2009-194 SP2009-135 MVE2009-117 pp.261-265 |
| RCS | 2009-06-26 11:00 |
Aichi | Nagoya University | A study on complexity reduction scheme of resource allocation for multi-user downlink MIMO-OFDMA systems Yasuhiro Fuwa, Eiji Okamoto, Yasunori Iwanami (Nagoya Insti. of Tech.) RCS2009-43 |
In this paper, we propose a complexity reduction scheme of subcarrier allocation for downlink MIMO-OFDMA (multiple inpu... [more] |
RCS2009-43 pp.85-90 |
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