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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
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 |
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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 |
MRIS, ITE-MMS |
2013-03-08 13:05 |
Aichi |
Nagoya Univ. |
High-Density Optical Recording on Thin Optical Disks Using Solid Immersion Lens Daiichi Koide, Takeshi Kajiyama, Ryuji Sato, Haruki Tokumaru (NHK), Yoshimichi Takano (NHK-ES), Kiyoshi Ohishi (NUT) |
[more] |
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