Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2019-03-06 10:30 |
Kanagawa |
YRP |
A Study on Layered Belief Propagation for Large MIMO Detection based on Statistical Beams Takumi Takahashi (Osaka Univ.), Antti Tolli (Univ. of Oulu), Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) RCS2018-285 |
This paper proposes a novel layered belief propagation (BP) detector with a concatenated structure of two different BP l... [more] |
RCS2018-285 pp.19-24 |
EST |
2018-09-07 10:20 |
Okinawa |
Kumejima-machi, Okinawa |
Numerical Analysis of 3-Dimensional Printed Reflector-Lens Antenna Based on Acrylonitrile Butadiene Styrene Plastics for W-Band Millimeter-Wave Radar Applications Shunichi Futatsumori, Nobuhiro Sakamoto (ENRI) EST2018-54 |
This report discusses the numerical analysis of 3-dimensional (3D) printed reflector-lens antenna based on Acrylonitrile... [more] |
EST2018-54 pp.63-67 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 10:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Feature scaling in spectral classification of high dimensional data Momo Matsuda, Keiichi Morikuni, Akira Imakura, Tetsuya Sakurai (Univ. Tsukuba) IBISML2018-2 |
We consider the classification problem for high dimensional data. Using prior knowledge on the labels of partial samples... [more] |
IBISML2018-2 pp.9-14 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 13:25 |
Okinawa |
Okinawa Institute of Science and Technology |
A supervised dimensionality reduction method using linear combinations of multiple eigenvectors Akira Imakura, Momo Matsuda, Tetsuya Sakurai (Univ. Tsukuba) IBISML2018-6 |
Dimensionality reduction methods that reduce the dimension of original data to a low-dimensional subspace such as LPP an... [more] |
IBISML2018-6 pp.39-45 |
RCS, SR, SRW (Joint) |
2018-03-01 10:00 |
Kanagawa |
YRP |
CSI Overhead Reduction for Massive MIMO using Multi-Dimensional Scaling Extended in Time-Domain and AR Model Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.) RCS2017-349 |
Massive MIMO (multiple-input multiple-output) is one of the technologies that has been focused in 5G (5th generation mob... [more] |
RCS2017-349 pp.185-190 |
MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi |
Tohoku University |
NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] |
NC2017-32 pp.29-34 |
AP, RCS (Joint) |
2017-11-08 16:20 |
Fukuoka |
Fukuoka University |
Channel Compression for Massive MIMO based on Multi-Dimensional Scaling with Channel Prediction Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2017-221 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation). However, th... [more] |
RCS2017-221 pp.93-98 |
MBE, NC (Joint) |
2017-03-13 13:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83 |
Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
cell... [more] |
NC2016-83 pp.115-120 |
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] |
2017-02-20 16:00 |
Hokkaido |
Hokkaido Univ. |
A note on estimating human emotion evoked by visual stimuli using fNIRS signals Kento Sugata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates human emotion evoked by visual stimuli using functional near-infrared spectr... [more] |
|
NLP |
2016-12-12 15:25 |
Aichi |
Chukyo Univ. |
Visualization and Classification by ElasticSOM Yuto Take, Pitoyo Hartono (Chukyo Univ.) NLP2016-89 |
Due to its simplicity, Self-Organizing Maps(SOM) are often utilized to visualize high dimensional data. While SOM is abl... [more] |
NLP2016-89 pp.27-32 |
SIS |
2016-12-08 14:10 |
Hiroshima |
Hiroshima City Univ. |
A Proposal of Two-Dimensional Histogram Specification Method Based on Dimension Reduction Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-33 |
Histogram-based image transformation methods, such as histogram equalization and color distribution transfer, are widely... [more] |
SIS2016-33 pp.31-34 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 17:00 |
Okinawa |
|
Facial expression generation based on morphable face model by impression transfer vector defined by SVM Yudai Arai, Haruna Yamaguchi, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) IMQ2015-47 IE2015-146 MVE2015-74 |
Facial expressions play an important role in all facets of human communication, even in human-machine communications. On... [more] |
IMQ2015-47 IE2015-146 MVE2015-74 pp.107-111 |
HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama |
Toyama International Conference Center |
Generation of facial expressions on 2D images of neutral face by impression transfer vector defined by SVM Haruna Yamaguchi, Yudai Arai, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
Faces play an important role in all facets of human communication, even in human-machine communications. Thus, creating ... [more] |
|
HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama |
Toyama International Conference Center |
Generation of 3D facial expressions by Impression Transfer Vector Method considering individual difference of the facial shape Yudai Arai, Horii Kazuya, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
Facial expressions play an important role in all facets of human communication, even in human-machine communications. On... [more] |
|
CPM |
2015-11-07 09:40 |
Niigata |
Machinaka Campus Nagaoka |
Improvement of diffraction efficiency and reduction of recording energy of magneto-optic three-dimensional display Aki Nemoto, Kazuki Yamazaki, Sotaro Tsuda, Kei Kudo, Kazuki Nankamura, Taichi Goto, Hiroyuki Takagi, Lim Pang Boey, Mitsuteru Inoue (TUT) CPM2015-95 |
The holographic display can show naturalistic three-dimensional object images. We have developed magento-optic 3D displa... [more] |
CPM2015-95 pp.55-58 |
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 |
PRMU, BioX |
2015-03-19 16:40 |
Kanagawa |
|
Semi-Supervised Low-rank GMM Learning for Multimodal Distribution Eita Aoki, Tetsuya Matsumoto, Noboru Ohnishi (Nagoya Univ.) BioX2014-60 PRMU2014-180 |
In this study, we examine the learning method of each category distribution under underdetermined environment that categ... [more] |
BioX2014-60 PRMU2014-180 pp.129-134 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Sufficient Dimension Reduction Voot Tangkaratt (Tokyo Inst. of Tech.), Hiroaki Sasaki, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-79 |
An accurate estimator of a function does not necessary mean that its derivative is an accurate estimator of the derivati... [more] |
IBISML2014-79 pp.329-336 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2014-09-01 16:30 |
Ibaraki |
|
Dimentionality Reduction Methods Using Error Correcting Codes for Feature Extraction Wataru Matsumoto, Genta Yoshimura, Takashi Yamazaki (Mitsubishi Electric) PRMU2014-46 IBISML2014-27 |
For various media retrieval and recognition applications, we consider the feature extraction vector compressed by a spar... [more] |
PRMU2014-46 IBISML2014-27 pp.81-84 |
SP |
2014-02-28 12:40 |
Tokushima |
The University of Tokushima |
[Poster Presentation]
Dimensionality Reduction of Feature Vector for Shouted Speech Detection in Noisy Environments Naoto Kakino, Takahiro Fukumori, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.), Hiroaki Nanjo (Ryukoku Univ.) SP2013-111 |
In this study, we try to detect shouted speech uttered in the hazardous situation toward a crime prevention system with ... [more] |
SP2013-111 pp.21-22 |