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Technical Committee on ME and Bio Cybernetics (MBE)  (Searched in: 2018)

Search Results: Keywords 'from:2019-03-04 to:2019-03-04'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 77  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2019-03-04
09:55
Tokyo University of Electro Communications The percussion instruments separation method using the Deep U-Net
Yosuke Ito, Kuroyanagi Susumu (NIT) NC2018-44
Modern popular music is often mixed with harmonic musical instruments and percussion instruments. Therefore, when analyz... [more] NC2018-44
pp.1-6
NC, MBE
(Joint)
2019-03-04
10:20
Tokyo University of Electro Communications Evaluation of Motor Learning of Drumming Performance with Assistance Using Negative Binomial Distribution
Yuya Takaki, Eiichi Inohira, Tomohiro Shibata (Kyutech) NC2018-46
 [more] NC2018-46
pp.13-18
NC, MBE
(Joint)
2019-03-04
10:45
Tokyo University of Electro Communications Reduction of Catastrophic Forgetting using Pseudorehearsal and Importance of Weight
Shunta Nakano, Motonobu Hattori (Univ. of Yamanashi) NC2018-47
When artificial neural networks learn new information additionally, they encounter serious forgetting of information lea... [more] NC2018-47
pp.19-24
NC, MBE
(Joint)
2019-03-04
09:30
Tokyo University of Electro Communications Transition of informative areas in the human brain during haptic shape recognition of real objects
Shota Eto (UEC), Hironori nakatani (UTokyo), Yoichi Miyawaki (UEC) NC2018-48
Shape information is vital for object recognition and it can be acquired by vision and haptic sensation. Previous studie... [more] NC2018-48
pp.25-30
NC, MBE
(Joint)
2019-03-04
09:55
Tokyo University of Electro Communications The effect of stress on human emotion control
Yukihiro Suzuki (NAIST), Saori Tanaka (ATR) NC2018-49
 [more] NC2018-49
pp.31-36
NC, MBE
(Joint)
2019-03-04
10:20
Tokyo University of Electro Communications Impact of cognitive strategies on hitting task
Akemi Kobayashi, Toshitaka Kimura (NTT) NC2018-50
Baseball coaches instruct the batters to judge all pitches as either ball or strike, the G strategy. However, when recei... [more] NC2018-50
pp.37-42
NC, MBE
(Joint)
2019-03-04
10:45
Tokyo University of Electro Communications Adjustment of exploratory behavior using mutual information in reinforcement learning
Kaiji Koyama, Jun Ohkubo (Saitama Univ.) NC2018-51
One of the important problems in reinforcement learning is the
exploration-exploitation trade-off. In this research, ... [more]
NC2018-51
pp.43-47
NC, MBE
(Joint)
2019-03-04
11:10
Tokyo University of Electro Communications Numerical experiments of QUBO formulation for ReLU-type functions
Go Sato (Saitama Univ.), Makiko Koreshima, Takuya Owa, Hirotaka Tamura (Fujitsu Labs), jun Ohkubo (Saitama Univ.) NC2018-52
 [more] NC2018-52
pp.49-54
NC, MBE
(Joint)
2019-03-04
13:00
Tokyo University of Electro Communications The way of Automatic Extraction of Human activity from motion video and Simulation method of extracted human activity by using Deep Learning
Kenichi Koike, Hiroki Satou, Daiji Ogasawara (MDIS) NC2018-53
In the field of maintenance work, inexperienced worker's aid is a most important issue. We propose a method of extractin... [more] NC2018-53
pp.55-60
NC, MBE
(Joint)
2019-03-04
13:25
Tokyo University of Electro Communications Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution
Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages.
... [more]
NC2018-54
pp.61-66
NC, MBE
(Joint)
2019-03-04
13:50
Tokyo University of Electro Communications A Basic Study of Noise Reduction on the Analysis of Burst Gravitational Waves by the Direct and Parallel Denoising Autoencoder
Hiroyuki Hayashi, Kazuki Sakai (NIT), Hirotaka Takahashi (NUT), Yuto Omae (NIT) NC2018-55
 [more] NC2018-55
pp.67-71
NC, MBE
(Joint)
2019-03-04
14:15
Tokyo University of Electro Communications Statistical Mechanical Analysis of a Perceptron with a Softmax Output Function
Yukihiro Tsuboshita, Takashi Sonoda (Fuji Xerox) NC2018-56
 [more] NC2018-56
pp.73-78
NC, MBE
(Joint)
2019-03-04
14:40
Tokyo University of Electro Communications A study of the Multi Resolution CONP using variable time constants for time series signals
Haruka Kato, Susumu Kuroyanagi (NIT) NC2018-57
Hearing is an important sense for understanding the surrounding environment because it can obtain information from the b... [more] NC2018-57
pp.79-84
NC, MBE
(Joint)
2019-03-04
15:20
Tokyo University of Electro Communications Automatic Analysis of Calcium Imaging Data with Deep Learning
Naoya Mamada, Toru Aonishi (Titech) NC2018-58
 [more] NC2018-58
p.85
NC, MBE
(Joint)
2019-03-04
15:45
Tokyo University of Electro Communications Variational Bayes algorithm of region base coupled MRF with hidden phase variables
Naoki Wada (Tokyo Inst. of Tech.), Masaichiro Mizumaki (JASRI), Yoshiki Seno (Saga prefectural regional industry support center), Masato Okada (The Univ. of Tokyo), Akai Ichiro (Kumamoto Univ.), Toru Aonishi (Tokyo Inst. of Tech.) NC2018-59
There are two methods in coupled Markov Random Field(MRF) model for image segmentation: edge-based method and region-bas... [more] NC2018-59
pp.87-92
NC, MBE
(Joint)
2019-03-04
16:10
Tokyo University of Electro Communications Proposal of an Izhikevich Model Neuron MOS Circuit
Yuki Tamura, Satoshi Moriya, Tatsuki Kato, Masao Sakuraba, Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2018-60
The Izhikevich neuron model, which can reproduce various spike activities with a small amount of calculation, is indispe... [more] NC2018-60
p.93
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
NC, MBE
(Joint)
2019-03-04
17:00
Tokyo University of Electro Communications Towards understandable deep learning in stacked autoencoders
Masumi Ishikawa (Kyutech) NC2018-62
Recent progress of deep learning(DP) is remarkable and its recognition ability is said to surpass that of humans. The ac... [more] NC2018-62
pp.99-104
NC, MBE
(Joint)
2019-03-05
09:30
Tokyo University of Electro Communications Novel Backpropagation Algorithm Considering Energy
Rintaro Kanada, Masafumi Hagiwara (Keio Univ.) NC2018-63
In this paper, we propose a novel backpropagation(BP) algorithm considering energy. Neural network (NN) can be classifie... [more] NC2018-63
pp.105-110
NC, MBE
(Joint)
2019-03-05
09:55
Tokyo University of Electro Communications Neuron-Pruning Algorithm For Neural Network Considering Activation Values
Masahiro Yamada, Masafumi Hagiwara (Keio Univ.) NC2018-64
In this paper, we propose a neuron-pruning algorithm using activation value. As the index for pruning neurons,
two type... [more]
NC2018-64
pp.111-116
 Results 1 - 20 of 77  /  [Next]  
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