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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Anomalous sound detection with complex-valued hybrid neural networks considering phase variations Shota Nishiyama, Akira Tamamori (AIT)  EA2022-106 SIP2022-150 SP2022-70 |
Anomalous sound detection is the task of identifying whether an incoming mechanical sound is normal or anomalous. Since ... [more] | EA2022-106 SIP2022-150 SP2022-70 pp.185-190 |
| NC, MBE (Joint) |
2021-03-04 09:00 |
Online | Online | Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54 |
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] | NC2020-54 pp.65-70 |
| NC, MBE (Joint) |
2021-03-05 09:55 |
Online | Online | Aspect classification by using complex-valued reservoir computing Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2020-65 |
Synthetic aperture radar (SAR) is widely used for ground surface classification because of their information on vegetati... [more] | NC2020-65 pp.127-132 |
| NC, MBE (Joint) |
2019-03-05 15:25 |
Tokyo | University of Electro Communications | Construction of a microwave search-and-rescue radar system based on online frequency-domain complex-valued independent component analysis Takahiro Nakanishi, Akira Hirose (Tokyo Univ.) NC2018-70 |
Search-and-rescue radar systems are expected to become more powerful and wider applicable in many disasters such as eart... [more] | NC2018-70 pp.139-143 |
| CCS | 2017-06-29 13:30 |
Ibaraki | Ibaraki Univ. | A Complex-Valued Reinforcement Learning Method Using Complex-Valued Neural Networks Masaki Mochida, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-1 |
This paper proposes the method to approximate the action-value function in complex-valued reinforcement learning by usin... [more] | CCS2017-1 pp.1-5 |
| 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 |
| AP, SANE (Joint) |
2015-08-28 15:10 |
Ibaraki | Ibaragi Univ. Mito Campus | [Invited Lecture]
Proposal of Synthetic Aperture Radar Information Structurization by Using Neural Networks Satoshi Tsuda, Akira Hirose (Univ. Tokyo) AP2015-77 SANE2015-39 |
Recent earth observation data gathered by satellite-borne synthetic aperture radar (SAR) systems grow very rapidly. For ... [more] | AP2015-77 SANE2015-39 pp.95-100(AP), pp.31-36(SANE) |
| NC, MBE (Joint) |
2014-03-18 11:20 |
Tokyo | Tamagawa University | Sparsity of Complex-Valued Neural Networks in Fading Channel Prediction Tianben Ding, Akira Hirose (Univ. of Tokyo) NC2013-106 |
Channel prediction is an important step for channel compensation in fading environment. Previously, we proposed a channe... [more] | NC2013-106 pp.103-108 |
| NC, MBE (Joint) |
2013-07-20 10:20 |
Tokushima | The University of Tokushima | Wind Speed Prediction System Using Complex-valued Neural Network and Frequency Component of Wind Speed Takahiro Kitajima, Takashi Yasuno, Naoya Ikeda (Univ. of Tokushima) NC2013-21 |
In recent years, large-scale wind turbines have been introduced. However the generation power fluctuates widely dependin... [more] | NC2013-21 pp.35-40 |
| MBE, NC (Joint) |
2013-03-15 13:45 |
Tokyo | Tamagawa University | Proposal of millimeter-wave security imaging using complex-valued self-organizing map Shogo Onojima, Yuya Arima, Akira Hirose (Univ. of Tokyo) NC2012-177 |
We propose a millimeter-wave imaging system for moving targets consisting of one-dimensional array antenna, parallel fro... [more] | NC2012-177 pp.249-254 |
| MBE, NC (Joint) |
2013-03-15 16:00 |
Tokyo | Tamagawa University | Acoustic imaging using wide-band beamformer based on complex-valued neural networks Kotaro Terabayashi, Akira Hirose (Univ. of Tokyo) NC2012-182 |
This paper proposes a beamforming method using a complex-valued spatio-temporal neural network for wideband acoustic ima... [more] | NC2012-182 pp.279-284 |
| PN, EMT, LQE, OPE, MWP, EST, IEE-EMT [detail] | 2013-01-24 09:25 |
Osaka | Osaka Univ. (Suita) | Evaluation of Optical Processing for QPSK Labels Using Complex-Valued Neural Network Tomoya Mizobuchi, Kengo Mizote, Hiroki Kishikawa, Nobuo Goto, Shin-ichiro Yanagiya (Univ of Tokushima) PN2012-35 OPE2012-144 LQE2012-136 EST2012-71 MWP2012-53 |
Optical packet routing techniques are expected in photonic networks. In particular, high-speed optical coded label routi... [more] | PN2012-35 OPE2012-144 LQE2012-136 EST2012-71 MWP2012-53 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, MBE (Joint) |
2011-12-20 12:10 |
Aichi | Nagoya Institute of Technology | An Approach for Sound Source Localization by Complex Valued Neural Network Hirofumi Tsuzuki, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (NIT) NC2011-89 |
In this study we consider about a method for sound source localization by complex valued neural network. This method pr... [more] |
NC2011-89 pp.31-34 |
| 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 |
| OPE, EMT, LQE, PN, IEE-EMT [detail] | 2011-01-27 09:30 |
Osaka | Osaka Univ. | Activation Function in Optical Label Processing Using Complex-Valued Neural Network Kengo Mizote, Hiroki Kishikawa, Nobuo Goto, Shin-ichiro Yanagiya (Univ of Tokushima) PN2010-32 OPE2010-145 LQE2010-130 |
Optical neural-network circuit to recognize BPSK labels for photonic label routing is proposed, which consists of optica... [more] | PN2010-32 OPE2010-145 LQE2010-130 pp.7-12 |
| NLP | 2009-11-14 09:35 |
Kagoshima | On the Iterative Learning Schemes in Hypercomplex-Valued Hopfield Neural Networks Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. of Hyogo) NLP2009-114 |
This paper presents two types of learning rules for complex-valued and quaternionic hopfield neural networks. The state... [more] |
NLP2009-114 pp.181-186 |
|
| NC, MBE (Joint) |
2009-03-13 13:50 |
Tokyo | Tamagawa Univ. | Performance improvement of the ring-CSOM landmine visualization system by regarding the local feature in the frequency domain as intrinsic information Yohei Nakamura, Yukimasa Nakano, Akira Hirose (Tokyo Univ.) NC2008-170 |
The landmine visualization system based on complex-valued neural networks is expected to realize the detection of plasti... [more] | NC2008-170 pp.393-398 |
| NC | 2008-10-23 09:25 |
Miyagi | Tohoku Univ. | Learning of context dependent symbol sequences by a Complex-vauled neural network model Tomonori Tanishima, Masaharu Adachi (Tokyo Denki Univ.) NC2008-37 |
In this report, we describe a learning of context dependent symbolic sequences by a complex-valued neural network model.... [more] | NC2008-37 pp.7-12 |
| NLP | 2008-02-01 10:45 |
Hokkaido | Complex-Valued Multistate Associative Memory with Nonlinear Multilevel Function Gouhei Tanaka, Kazuyuki Aihara (Tokyo Univ.) NLP2007-144 |
A complex-valued neural network can be used for multistate associative memory by quantizing a neuronal state into a mult... [more] | NLP2007-144 pp.13-18 |
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