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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 76  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2021-03-29
15:40
Online Online A 3DCNN with Reduced Parameters Using Depthwise Separable Convolution
Koki Ito, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-27
Convolutional Neural Networks (CNNs) have been used in various fields such as image and speech. In recent years, CNNs ha... [more] CCS2020-27
pp.37-41
CCS 2021-03-29
16:05
Online Online IMAS-GAN: Unsupervised Domain Translation without Cycle Consistency
Masashi Okada, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-28
CycleGAN realizes the translation between domains without using pair data. However, the configuration of two GANs and th... [more] CCS2020-28
pp.42-47
CCS 2020-03-26
11:00
Tokyo Hosei Univ. Ichigaya Campus
(Cancelled but technical report was issued)
Generative Adversarial Networks Handling Multiple Distances between Probability Distributions
Shinya Hidai, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2019-39
Generative Adversarial Networks (GAN) are trained by alternately training two networks. Discriminator estimates the dist... [more] CCS2019-39
pp.21-24
NLP 2018-04-27
16:10
Kumamoto Kumaoto Univ. An ABC Algorithm with Improvement of Tracking Performance to Solutions in Dynamic Optimization Problems
Masato Omika, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-26
We propose an ABC algorithm to dynamic optimization problems in this article. The proposed method makes the following tw... [more] NLP2018-26
pp.127-131
NLP 2018-04-27
16:35
Kumamoto Kumaoto Univ. A Particle Swarm Optimizer Based on Periodically Swiched Particle Networks
Santana Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2018-27
In this paper, we propose a method to periodically switch the couplings between particles in Particle Swarm Optimization... [more] NLP2018-27
pp.133-137
CCS 2018-03-26
10:00
Tokyo Tokyo Univ. of Sci. (Morito Memorial Hall) Suppression Method of Mode Collapse in Generative Adversarial Nets
Shinya Hidai, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-33
Generative Adversarial Nets (GAN) is constituted by two neural networks, Generator and Discrminator. Generator creates d... [more] CCS2017-33
pp.1-6
CCS 2017-08-11
11:00
Hokkaido Bibai Onsen Yu-rinkan A Flooding Scheme in Wireless Sensor Networks Using Integer-Valued Neuron Models
Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-16
In Wireless Sensor Networks, flooding is used in diffusing advertising messages, control messages, and so on.
If flood... [more]
CCS2017-16
pp.37-41
CCS 2017-08-11
12:30
Hokkaido Bibai Onsen Yu-rinkan A Study on Dynamic Grouping Schemes in Co-evolutional Particle Swarm Optimizers
Ryosuke Kikkawa, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-17
Particle Swarm Optimization (PSO) is one of optimization algorithms that imitate the behavior of organisms in a swarm.
... [more]
CCS2017-17
pp.43-46
NLP 2017-07-13
14:15
Okinawa Miyako Island Marine Terminal A Study on Two-Dimensional Cellular Automaton Rules for Encryption
Yuuki Hanaie, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2017-34
In this paper, we consider encryption using two-dimensional cellular automaton.As a round function for stirring the plai... [more] NLP2017-34
pp.35-39
NLP 2017-07-14
14:50
Okinawa Miyako Island Marine Terminal Multi-objective Particle Swarm Optimizer Networks with Tree Topology
Kyosuke Miyano, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2017-47
In this paper, we consider island-model multi-objective particle swarm optimization (IMOPSO) in which plural sub-swarms ... [more] NLP2017-47
pp.103-106
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
CCS 2017-06-29
13:55
Ibaraki Ibaraki Univ. Consideration on Functions for Quantization in Quantized Neural Networks
Takumi Kadokura, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-2
Quantized Neural Network (QNN) is a kind of neural networks in which its weights and activations are quantized. Since, Q... [more] CCS2017-2
pp.7-10
CQ 2017-05-30
13:25
Miyazaki Hotel Merieges (Miyazaki) An optimization method for flooding in wireless networks
Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CQ2017-27
In Wireless Sensor Networks, flooding is used in diffusing advertising messages, control messages, and so on.
If flood... [more]
CQ2017-27
pp.75-78
CQ
(2nd)
2016-10-06
14:20
Nagano Naganoken Nokyo Building [Poster Presentation] A hierarchical routing algorithm for MANET based on multi-agent learning
Yuki Hoshino, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)
Mobile Ad-hoc Networks (MANETs) can construct impromptu networks by wireless mobile nodes without fixed infrastructure. ... [more]
NLP 2016-09-15
15:20
Hyogo Konan Univ. A particle swarm optimizer with two rotation modes
Hidehiro Nakano, Tomoyuki Sasaki, Arata Miyauchi (Tokyo City Univ.) NLP2016-63
This article proposes a particle swarm optimizer (PSO) with two rotation modes.
Each search particle in the proposed P... [more]
NLP2016-63
pp.97-100
CQ 2016-08-30
11:15
Ibaraki Tsukubasan Performance evaluation of a routing algorithm in MANET based on multi-agent learning
Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CQ2016-63
This article evaluates the performances of a routing algorithm in MANET proposed in our previous works.
In this method... [more]
CQ2016-63
pp.83-86
NLP 2016-07-22
10:00
Hokkaido Hokkaido Univ. Centennial Hall An Artificial Bee Colony Algorithm Suited for Parallel Distributed Processing
Yu Isono, Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2016-40
As approximate solutions in large-scale problems are obtained by evolutionary computation algorithms, many search indivi... [more] NLP2016-40
pp.33-38
NLP 2016-05-27
10:15
Kochi Kochi Univ. Implementation of parallel particle swarm optimizers on PC cluster
Hidehiro Nakano, Ryosuke Matsumoto, Tomoyuki Sasaki, Arata Miyauchi (Tokyo City Univ.) NLP2016-13
This paper proposes an implementation method of the particle swarm optimizer (PSO) to PC cluster. In PSO, many particles... [more] NLP2016-13
pp.63-66
NLP 2016-03-25
10:00
Kyoto Kyoto Sangyo Univ. Implementation of a specific processor for particle swarm optimizer networks
Atsushi Moriyasu, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2015-150
This paper attempts to implement a processor specialized for particle swarm optimizer networks on FPGA. In the particle ... [more] NLP2015-150
pp.47-51
NC, NLP
(Joint)
2016-01-29
09:55
Fukuoka Kyushu Institute of Technology Investigation on coupling parameters in deterministic PSO networks
Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akira Taguchi (Tokyo City Univ.) NLP2015-136
PSO networks (PSONs) which is networking PSO are one of the multi swarm techniques. In PSONs, since each sub-swarm group... [more] NLP2015-136
pp.57-62
 Results 1 - 20 of 76  /  [Next]  
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