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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 72 [Previous]  /  [Next]  
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
 Results 21 - 40 of 72 [Previous]  /  [Next]  
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