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 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SAT, KOSST 2023-10-11
15:35
Overseas Central Hotel Marianne(Korea, Busan)
(Primary: On-site, Secondary: Online)
A Complex Vector-Scalar Ring theory
Osamu Ichiyoshi (HNfB21C) SAT2023-57
The quaternion is an expansion of complex number to three dimensions of imaginary numbers. It is a useful tool in calcul... [more] SAT2023-57
pp.50-55
NC, MBE
(Joint)
2023-03-13
10:40
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications
Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose (UTokyo) NC2022-91
Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel pred... [more] NC2022-91
pp.1-6
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
14:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Hadamard-Coded Supervised Discrete Hashing on Quaternion Domain
Manabu Sueyasu (The Univ. Kitakyushu), Seisuke Kyochi (Kogakuin Univ.), Gou Koutaki (Kumamoto Univ.) SIP2022-23 BioX2022-23 IE2022-23 MI2022-23
This paper extends Hadamard-coded supervised discrete hashing on real domain (termed as $mathbb{R}$-HCSDH) using a real-... [more] SIP2022-23 BioX2022-23 IE2022-23 MI2022-23
pp.117-122
SANE 2021-08-26
15:50
Online Online A Quaternion Vector Theory
Osamu Ichiyoshi (HNB21C) SANE2021-26
In order for the flight control of such flying objects as space rockets or satellites a continuous conversion between th... [more] SANE2021-26
pp.22-25
EMT, IEE-EMT 2017-11-09
10:50
Yamagata Tendo Hotel (Tendo, Yamagata) Flexible Unsupervised PolSAR Land Classification System Based on Quaternion Neural Networks
Hyunsoo Kim, Akira Hirose (Tokyo Univ.) EMT2017-48
We propose a flexible unsupervised PolSAR land classification system based on quaternion neural networks. The existing ... [more] EMT2017-48
pp.37-42
SANE 2017-10-05
14:20
Tokyo Maison franco - japonaise (Tokyo) Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks
Hyunsoo Kim, Akira Hirose (Univ. of Tokyo) SANE2017-57
We propose an unsupervised adaptive PolSAR land classification system using quaternion neural networks. Most of the exis... [more] SANE2017-57
pp.73-78
MBE, NC
(Joint)
2017-03-13
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Singular-point compensation in Polarimetric-Interferometric Synthetic aperture radar systems
Kohei Oyama, Akira Hirose (Tokyo Univ.) NC2016-79
In interferogram obtained by interferometric synthetic aperture radar, there are many singular points (SPs) which make i... [more] NC2016-79
pp.91-96
MBE, NC
(Joint)
2013-03-13
10:40
Tokyo Tamagawa University Sufficient conditions for neural networks not to have critical points based on the hierarchical structure
Tohru Nitta (AIST) NC2012-135
In this paper, we attempt to implement neural networks (NN) that do not have the critical points based on the hierarchic... [more] NC2012-135
pp.7-12
NC 2012-07-30
13:45
Shiga Ritsumeikan Univ. College of Information Science and Engineering On local analytic activation function in quaternionic hopfield neural network
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. Hyogo) NC2012-18
It is difficult to introduce appropriate activation functions to neural networks in the hypercomplex domains, and few fu... [more] NC2012-18
pp.25-30
NC 2011-07-25
10:20
Hyogo Graduate School of Engineering, Kobe University Stability Analysis on Multistate Hopfield Neural Networks Based on Commutative Quaternion
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. Hyogo) NC2011-20
Two types of multistate Hopfield neural networks are explored in this paper.
These networks are based on commutative qu... [more]
NC2011-20
pp.1-6
NC, MBE
(Joint)
2011-03-08
11:30
Tokyo Tamagawa University A factor analysis model for multivariate unit quaternions
Yusuke Fujiwara, Yutaka Sakaguchi (UEC) NC2010-169
A human body movement is represented as a set of 3D rotations of joint angles. A unit quaternion provides a simple mean ... [more] NC2010-169
pp.247-252
NC 2007-07-25
11:00
Kyoto Kyoto Univ. Some properties of Quaternion Neural Network
Eiji Yoshida, Seiichi Mita (TTI) NC2007-32
In this paper, we deal with a comparison of the quaternion neural network and the real neural network.
In particular, ... [more]
NC2007-32
pp.29-34
SANE 2005-07-29
13:25
Tokyo Electric Navigation Research Institute Aircraft tracking based on ADS reports (II) -- Application of quaternion --
Minoru Higashiguchi, Yoshiro Nakatsuji (ATCA Japan), Yasuyuki Sasamoto (NEC)
Abstract Using ADS reports received on the graoud , Air Traffic Control facilities are planned to place more aircrafts... [more] SANE2005-41
pp.7-12
 Results 1 - 13 of 13  /   
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