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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CAS | 2023-10-06 16:00 |
Gifu | Work plaza Gifu | Operaton analysis in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU)  CAS2023-45 NLP2023-44 |
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] | CAS2023-45 NLP2023-44 pp.66-69 |
| NLP, MSS | 2023-03-15 14:00 |
Nagasaki | (Primary: On-site, Secondary: Online) |
On binary periodic orbits in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU) MSS2022-71 NLP2022-116 |
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] | MSS2022-71 NLP2022-116 pp.49-52 |
| CCS | 2022-11-17 13:00 |
Mie | (Primary: On-site, Secondary: Online) |
A clustering system based on binary associative memories Kazuma Kiyohara, Kento Saka, Toshimichi Saito (HU) CCS2022-43 |
This paper studies application of binary associative memories to clustering systems of binary data. The binary associati... [more] | CCS2022-43 pp.1-4 |
| CCS | 2022-11-17 13:25 |
Mie | (Primary: On-site, Secondary: Online) |
Analysis of various periodic orbits in permutation binary neural networks Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) CCS2022-44 |
This paper studis a permutation binary neural network characterized by local binary connection, global permutation conne... [more] | CCS2022-44 pp.5-8 |
| NC, MBE (Joint) |
2022-09-30 09:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On optimization of periodic orbits in permutation binary neural networks Kento Saka, Toshimichi Saito (HU) NC2022-38 |
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] | NC2022-38 pp.24-27 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 10:50 |
Online | Online | Classification of binary data based on binary neural networks Kento Saka, Tomoyuki Togawa, Toshimichi Saito (HU) NC2020-8 |
This paper presents a novel application of binary neural networks to clustering of data sets. The network characterized... [more] |
NC2020-8 pp.1-4 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 11:15 |
Online | Online | Dynamic binary neural networks with time-variant parameters Takumi Suzuki, Shota Anzai, Toshimichi Saito (HU) NC2020-9 |
This paper studies a three-layer dynamic binary neural network with time-variant parameters and its application. The net... [more] | NC2020-9 pp.5-8 |
| NLP, CAS | 2019-10-22 16:45 |
Gifu | Gifu Univ. | On transition from periodic orbits to fixed points in simple neural networks Yuki Kawamura, Toshimichi Saito (HU) CAS2019-37 NLP2019-77 |
A dynamic binary neural network is a recurrent-type neural network characterized by cross-connection parameters and sig... [more] |
CAS2019-37 NLP2019-77 pp.71-75 |
| MBE, NC | 2019-10-12 10:00 |
Miyagi | Stability of Periodic Orbits in 3-Layer Dynamic Binary Neural Networks Seitaro Koyama, Toshimichi Saito (HU) MBE2019-39 NC2019-30 |
The 3-layer dynamic binary neural networks (3-DBNNs) are characterized by ternary connection parameters and signum activ... [more] | MBE2019-39 NC2019-30 p.51 |
|
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 13:00 |
Okinawa | Okinawa Institute of Science and Technology | Analysis and application of periodic orbits in dynamic binary neural networks Shota Anzai, Seitaro Koyama, Toshimichi Saito (HU) NC2019-1 |
This paper studies a simple dynamic binary neural network and its application. In the network, each neuron transforms ... [more] |
NC2019-1 p.1 |
| NC, MBE (Joint) |
2019-03-04 16:35 |
Tokyo | University of Electro Communications | Application of dynamic binary neural networks to central pattern generators Shota Anzai, shunsuke aoki, seitaro koyama, Toshimichi Saito (HU) NC2018-61 |
This paper studies basic dynamics of simple dynamic binary neural networks and their applications. The network is chara... [more] |
NC2018-61 pp.95-98 |
| MBE, NC (Joint) |
2018-05-19 15:20 |
Toyama | Univ. of Toyama | On Stability of Sparse Binary Neural Networks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3 |
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function. ... [more] |
NC2018-3 pp.9-13 |
| MBE, NC, NLP (Joint) |
2018-01-27 11:20 |
Fukuoka | Kyushu Institute of Technology | Stability and periodic orbits in dynamic binary neural newtorks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97 |
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] | NLP2017-97 pp.59-62 |
| 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 |
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