Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2020-05-15 13:25 |
Online |
Online |
Design of a Distributed Algorithm for Principal Component Analysis based on Power Method and Average Consensus Mutsuki Oura, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-4 |
Principal component analysis is one of the most important methods of multivariate analysis, and has been applied in a wi... [more] |
NLP2020-4 pp.17-22 |
SIS |
2020-03-05 13:30 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
A Proposal of Color Quantization Algorithm Based on Weighted Principle Component Analysis Using Saturation Seiichi Kojima, Tomoki Kusunoki (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2019-40 |
In a 24 bit full color image, there are about 16 millions possible colors. On the other hand, in a limited color image, ... [more] |
SIS2019-40 pp.19-22 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:20 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Preference Analysis for Japanese Sake Evaluation Data Base on Different User Properties Yuki Hashimoto, Tatsuya Yamazaki (Niigata Univ.) CQ2019-138 |
Every year, a contest to evaluate the quality of Sake is held, which is called Zenkoku Shinshu Kanpyokai. Sake experts p... [more] |
CQ2019-138 pp.21-24 |
RCS, SR, SRW (Joint) |
2020-03-05 13:55 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique Yasuhiro Takano (Kobe Univ.) RCS2019-367 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] |
RCS2019-367 pp.239-244 |
IT, SIP, RCS |
2020-01-23 09:50 |
Hiroshima |
Hiroshima City Youth Center |
A Study on Channel Estimation by Using Independent Component Analysis in Large-scale MIMO Systems Taichi Kasai, Shinsuke Ibi, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.) IT2019-37 SIP2019-50 RCS2019-267 |
As the demand for wireless communication technology increases, efficient frequency usage is required. In the case of lar... [more] |
IT2019-37 SIP2019-50 RCS2019-267 pp.7-11 |
IT, SIP, RCS |
2020-01-24 14:25 |
Hiroshima |
Hiroshima City Youth Center |
Research trends of compressive channel estimation techniques Yasuhiro Takano (Kobe Univ.) IT2019-80 SIP2019-93 RCS2019-310 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] |
IT2019-80 SIP2019-93 RCS2019-310 pp.261-265 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Effect of Gender Difference on 3D Emotional Facial Expression Generation based on Principal Component Analysis Ayami Murata, Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
In this study, we used 3D face data obtained using the RGB-Depth sensor KinectV2, and analyzed the geometric changes bet... [more] |
|
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Investigating transformation of 3D faces in terms of their masculinity/femininity impressions Yuki Ozawa, Nami Takeyama, Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
We investigated the nature of impression manipulation of gender differences on 3D faces. First, we investigated the diff... [more] |
|
NC, MBE |
2019-12-06 13:25 |
Aichi |
Toyohashi Tech |
Proposal of Region Segmentation Algorithm for Facial Thermal Image Using Eigenfaces Yuki Hasumi, Kosuke Oiwa, Akio Nozawa (Aoyama Gakuin Univ.) MBE2019-62 NC2019-53 |
In late years, facial skin temperature acquired non-catalytically by using thermal cameras is suggested as one of the no... [more] |
MBE2019-62 NC2019-53 pp.101-105 |
AP, RCS (Joint) |
2019-11-22 09:50 |
Saga |
Saga Univ. |
Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2019-226 |
We previously proposed a time-domain symbol spreading (TSS) which can expand the operational region of the blind adaptiv... [more] |
RCS2019-226 pp.129-134 |
ET |
2019-11-09 16:30 |
Hiroshima |
Hiroshima City University |
Classification of Students by Principal Components Analysis Yawen Li, Shinya Nogami (TUS) ET2019-57 |
In this paper, we use dummy data on the scores of first-year students in the Faculty of Business Administration to clari... [more] |
ET2019-57 pp.55-58 |
CS |
2019-10-31 10:40 |
Kagoshima |
Kirishima-Hotel |
A Study on Detection of Breathing Using Tilt Angle Sensor and its Wireless Monitoring Tetsuo Tsujioka, Seima Todo (Osaka City Univ.) CS2019-64 |
Recently, human breath detection has much attention from many researchers for health science. In the previous works on t... [more] |
CS2019-64 pp.9-13 |
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 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 10:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Spatial-Temporal decomposition to resting and task MEG using DMD Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11 |
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] |
NC2019-13 IBISML2019-11 pp.51-56(NC), pp.73-78(IBISML) |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 16:10 |
Kagoshima |
Kagoshima University |
Detection of Important ICA Basis Based on Mean Square Error in ICA-DCT Hybrid Typed Image Coding Atsushi Togashi, Masashi Kameda (Iwate Prefectural Univ.) IMQ2018-49 IE2018-133 MVE2018-80 |
The ICA-DCT hybrid typed image coding method which uses both DCT bases and ICA bases appropriately for each small spatia... [more] |
IMQ2018-49 IE2018-133 MVE2018-80 pp.153-158 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima |
Kagoshima University |
Word Categorization for Estimating Communication Quality by the Use of SNS Takaaki Kirikae (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2018-108 |
QoE which is the user experience of communication quality, depends on application, user circumstances, user's purpose, e... [more] |
CQ2018-108 pp.87-90 |
EA, SIP, SP |
2019-03-14 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
An Initialization Method for Multichannel Nonnegative Matrix Factorization using Nonnegative Independent Component Analysis Takahiro Ushijima, Takanobu Uramoto, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2018-105 SIP2018-111 SP2018-67 |
Recently, devices that handle voice have become widely used, and there is a demand for a technique to extract only the t... [more] |
EA2018-105 SIP2018-111 SP2018-67 pp.37-42 |
EA, SIP, SP |
2019-03-15 11:25 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Invited Talk]
Realization of real-time blind source separation with auxiliary-function-based algorithms Nobutaka Ono (TMU) EA2018-133 SIP2018-139 SP2018-95 |
Blind source separation is a signal processing technique to estimate sound source signals only from the observation of m... [more] |
EA2018-133 SIP2018-139 SP2018-95 p.203 |
EMM |
2019-03-13 14:05 |
Okinawa |
TBD |
[Poster Presentation]
Identification of Analog Devices Based Machine Learning Kazuma Tomitsuka, Shohei Hujimaki, Hyunho Kang (NITTC) EMM2018-93 |
I began researching to propose a method to extract Physical Un-clonable Function (PUF) from analog parts by investigatin... [more] |
EMM2018-93 pp.13-16 |
RCS, SR, SRW (Joint) |
2019-03-06 10:55 |
Kanagawa |
YRP |
Performance Analysis for Nonlinear Separation Model with a Flexible Approximation Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2018-292 |
The process deals with blind source separation in the nonlinear domain is to estimate the original signals or mixture fu... [more] |
RCS2018-292 pp.61-66 |