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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 47 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SIS 2016-12-08
11:20
Hiroshima Hiroshima City Univ. Lossy Coding of Wave Field Data Using Singular Value Decomposition
Mao Liji, Mitsuji Muneyasu, Kyoji Matsushima, Soh Yoshida (Kansai Univ.), Akira Taguchi (Tokyo City Univ.) SIS2016-30
This paper proposes a lossy compression technique for wave field in computer holography. As a 3D display technique, holo... [more] SIS2016-30
pp.13-18
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
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
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
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Fast image inpainting using Chebyshev polynomial approximation
Masaki Onuki (TUAT), Shunsuke Ono (Tokyo Tech.), Keiichiro Shirai (Shinshu Univ.), Yuichi Tanaka (TUAT) EA2014-99 SIP2014-140 SP2014-162
In this report, we propose a method of singular value filtering using Chebyshev polynomial approximation.Recent image pr... [more] EA2014-99 SIP2014-140 SP2014-162
pp.145-150
EMM 2015-01-29
10:00
Miyagi Tohoku University Study on Audio Watermarking Scheme based on Singular-Spectrum Analysis
Jessada Karnjana, Masashi Unoki (JAIST), Pakinee Aimmanee (Thammasat Univ.), Chai Wuthiwiwatchai (NECTEC) EMM2014-71
This paper proposes a blind audio watermarking scheme based on singular-spectrum analysis (SSA) which relates to several... [more] EMM2014-71
pp.27-32
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
ISEC 2013-12-11
13:25
Tokyo Kikai-Shinko-Kaikan Bldg. A novel proposal of $q$-SVD domain for blind watermarking
Ta Minh Thanh (Tokyo Inst. of Tech.), Ta Minh Tam (VSTV) ISEC2013-74
In this paper, we propose a novel watermarking based on $q$-SVD domain. We embed the watermark into the low-frequency of... [more] ISEC2013-74
pp.7-13
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
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
RCS, IN
(Joint)
2009-05-21
10:40
Tokyo Kikai-Shinko-Kaikan Bldg. Measurements of Outdoor MIMO Propagation for 3GHz-band Macro Cellular Systems
Tomoshige Kan (Tokyo Inst. of Tech./NICT), Ryuhei Funada, Junyi Wang, Hiroshi Harada (NICT), Jun-ichi Takada (Tokyo Inst. of Tech) RCS2009-5
Multi-Input-Multi-Output (MIMO) is an emerging technology for the 4th-generation mobile communication systems due to the... [more] RCS2009-5
pp.25-30
MI 2009-01-20
17:25
Overseas National Taiwan University Morphometry of 4D Eigen Spectral Images for Characterizing Spatio-temporal Properties of Intratumoral Enhancement Patterns in Dynamic Contrast-enhanced Breast MRI
Sang Ho Lee, Jong Hyo Kim, Yun Sub Jung, Jeong Joo Song (Seoul National Univ.), Jeong Seon Park (Hanyang Univ.), Nariya Cho, Woo Kyung Moon (Seoul National Univ.) MI2008-129
This study was designed to characterize the spatio-temporal properties of intratumoral enhancement patterns on 4D eigen ... [more] MI2008-129
pp.315-318
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