Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SDM, ICD, ITE-IST [detail] |
2017-08-02 10:15 |
Hokkaido |
Hokkaido-Univ. Multimedia Education Bldg. |
SDM2017-43 ICD2017-31 |
(To be available after the conference date) [more] |
SDM2017-43 ICD2017-31 pp.101-106 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2017-06-24 09:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Elementary cellular automata and dynamic binary neural networks Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) NC2017-13 |
This paper studies basic dynamic of elementary cellular automata(ECA):
digital dynamical systems in which time, space a... [more] |
NC2017-13 pp.93-97 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2017-06-24 09:55 |
Okinawa |
Okinawa Institute of Science and Technology |
Stability of fixed points and periodic orbits in dynamic binary neural networks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (Hosei Univ.) NC2017-14 |
The dynamic neural networks are characterized by the signum activation function and ternary connection parameters.
Depe... [more] |
NC2017-14 pp.99-103 |
MBE, NC (Joint) |
2017-03-13 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Stability and Sparsity of Dynamic Binary Neural Networks Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) NC2016-81 |
This paper studies relation between sparsification and stability of a desired binary periodic orbit in the dynamic binar... [more] |
NC2016-81 pp.103-107 |
NC, NLP (Joint) |
2017-01-27 13:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Dynamic Binary Neural Networks with Local Connection Kazuma Makita, Toshimichi Saito (HU) NC2016-57 |
This paper studies of dynamic binary neural networks.
The network is characterized by a signum activation fuction and ... [more] |
NC2016-57 pp.53-57 |
MBE, NC (Joint) |
2016-12-07 13:30 |
Aichi |
Toyohashi University of Technology |
NC2016-40 |
This paper studies relation between sparsification and stability of desired binary periodic orbits in the dynamic binary... [more] |
NC2016-40 pp.1-5 |
CAS, NLP |
2016-10-27 09:30 |
Tokyo |
|
On sparsification of Dynamic Binary Neural Networks Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) CAS2016-38 NLP2016-64 |
This paper studies sparsification effects of connection parameters in dynamic binary neural networks. The network is cha... [more] |
CAS2016-38 NLP2016-64 pp.1-4 |
MBE, NC (Joint) |
2016-05-21 13:00 |
Toyama |
University of Toyama |
Simple feature quantities of periodic orbits in dynamic binary neural networks Kazuma Makita, Ryuji sato, Toshimichi Saito (HU) NC2016-1 |
This paper studies perodic orbits of dynamic binary neural networks.
The network is characterized by a signum activati... [more] |
NC2016-1 pp.1-4 |
NC, NLP (Joint) |
2016-01-29 13:35 |
Fukuoka |
Kyushu Institute of Technology |
Analysis of periodic orbits in dynamic binary neural networks Kazuma Makita, Ryuji Sato, Toshimichi Saito (HU) NC2015-61 |
This paper considers analysis of dynamic binary neural networks.
The networks can generate various binary periodic orb... [more] |
NC2015-61 pp.25-28 |
NLP, CAS |
2015-10-05 11:10 |
Hiroshima |
Aster Plaza |
Learning of Dynamic Binary Neural Networks by Sparsification Ryuji Sato, Toshimichi Saito (HU) CAS2015-23 NLP2015-84 |
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] |
CAS2015-23 NLP2015-84 pp.15-20 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 15:45 |
Okinawa |
Okinawa Institute of Science and Technology |
Learning of dynamic binary neural networks based on the simple feature quantity Ryuji Sato, Toshimichi Saito (HU) NC2015-9 |
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] |
NC2015-9 pp.83-87 |
MBE, NC (Joint) |
2014-12-13 13:20 |
Aichi |
Nagoya University |
Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane Ryuji Sato, Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2014-51 |
This paper studies learning the 2-layer dynamic binary neural network that can generate various binary periodic orbit.
... [more] |
NC2014-51 pp.43-47 |
NC, MBE (Joint) |
2014-03-18 15:20 |
Tokyo |
Tamagawa University |
A learning method for dynamic binary neural networks using a particle swarm optimizer Romu Nagano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NC2013-113 |
This paper proposes a new learning algorithm to the dynamic binary neural network (DBNN). The proposed method aims to im... [more] |
NC2013-113 pp.145-149 |
SP, IPSJ-SLP (Joint) |
2013-07-25 15:10 |
Miyagi |
Soho (togatta spa) |
Effectiveness of discriminative approaches for speech recognition under noisy environments on the 2nd CHiME Challenge Yuuki Tachioka (Mitsubishi Electric), Shinji Watanabe, Jonathan Le Roux, John R Hershey (MERL) SP2013-55 |
The 2nd CHiME challenge is a difficult two-microphone speech recognition task with non-stationary interference. We inves... [more] |
SP2013-55 pp.13-18 |
NC, MBE (Joint) |
2012-12-12 09:50 |
Aichi |
Toyohashi University of Technology |
An Application of Dynamic Binary Networks: Learning of Switching Signals of Matrix Converters Yuta Nakayama, Toshimichi Saito (HU) NC2012-76 |
This paper studies a dynamic binary neural networks (DBNN) and its learning of periodic binary sequence.
As an applica... [more] |
NC2012-76 pp.13-18 |
MBE, NC (Joint) |
2012-03-14 17:40 |
Tokyo |
Tamagawa University |
Analysis of Learning Process of Dynamics Binary Neural Networks Yuta Nakayama, Ryo Ito, Toshimichi Saito (HU) NC2011-148 |
This paper studies a dynamic binary neural networks (DBNN) for learning of $N$-bit binary sequence.
We consider that t... [more] |
NC2011-148 pp.159-164 |
CAS, NLP |
2011-10-21 17:20 |
Shizuoka |
Shizuoka Univ. |
Logical Synthesis based on ART-Maps Yusuke Okamoto, Yuta Nakayama, Yoko Enosawa, Toshimichi Saito (HU) CAS2011-62 NLP2011-89 |
This paper presents an application of the adaptive resonance theory map to learning algorithm of binary neural networks ... [more] |
CAS2011-62 NLP2011-89 pp.169-173 |
NLP |
2011-05-27 09:35 |
Kagawa |
Olive park olive memorial hall |
Learning of binary neural networks for logical synthesis Yuta Nakayama, Ryo Ito, Toshimichi Saito (HU) NLP2011-11 |
This paper studies a learning algorithm of binary neural networks (BNN) and its application to logical synthesis. The ne... [more] |
NLP2011-11 pp.49-53 |
NC, MBE (Joint) |
2011-03-07 17:40 |
Tokyo |
Tamagawa University |
Learning of Binary Neural Networks based on genetic algorithm Ryo Ito, Toshimichi Saito (HU) NC2010-157 |
This paper presents a dynamic binary neural network for learing of $N$-bit binary sequence. Basically, the network is co... [more] |
NC2010-157 pp.177-182 |
NLP |
2010-11-20 09:55 |
Miyagi |
Tohoku University (RIEC) |
An Approach to Logical Synthesis by Binary Neural Networks Yuta Nakayama, Ryo Ito, Toshimichi Saito (Hosei Univ.) NLP2010-108 |
This paper studies a genetic-algorithm-based learning of binary neural networks (BNN) and its realization function of Bo... [more] |
NLP2010-108 pp.43-47 |