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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2020-12-18
10:30
Online Online Pear Flower Cluster Detection Method Using Deep Learning and Branch Extraction
Shunsuke Aoki, Tatsuya Yamazaki (Niigata Univ.) PRMU2020-55
Currently, manual pollination work in pear cultivation is a heavy burden for farmers, since a kind of pear has self-inco... [more] PRMU2020-55
pp.99-104
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
09:55
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
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
CNR 2016-09-20
13:00
Tokyo Sanjo conference hall, The University of Tokyo [Invited Talk] Communication robot "BOCCO" and the future of user interface for home appliances
Shunsuke Aoki (Yukai) CNR2016-6
 [more] CNR2016-6
pp.1-2
ASN 2014-05-30
15:10
Tokyo Convention Hall, RCAST, The University of Tokyo [Encouragement Talk] Privacy-Preserving Data Mining with Perturbation for Multidimensional Data
Shunsuke Aoki, Kaoru Sezaki (Univ. of Tokyo) ASN2014-37
With the rapid spread of utilization of personal data in cyber and physical world, privacy-preserving data mining become... [more] ASN2014-37
pp.143-147
HPB
(2nd)
2014-02-28
16:20
Tokyo The University of Tokyo (Komaba II) A Node Selection Scheme Considering Coverage and Quality of Data for Participatory Sensing
Keita Sakamoto, Shunsuke Aoki, Masaki Ito, Kaoru Sezaki (Tokyo Univ.)
In participatory sensing using mobile device of general users, quality and coverage of data are important factors becaus... [more]
HCGSYMPO
(2nd)
2013-12-18
- 2013-12-20
Ehime Matsuyama Multi-Purpose Community Cente Interest Sensing for Adaptive OOH Advertising Applying Recency Planning
Yuichiro Kida, Junya Okuno, Shunsuke Aoki, Hiroki Kobayashi (Univ. of Tokyo), Masayuki Iwai (Tokyo Denki Univ.), Kaoru Sezaki (Univ. of Tokyo)
Recently, the fields of outdoor information delivery systems are getting people’s attention as the development of sensin... [more]
MoNA, IN
(Joint)
2013-11-21
14:15
Kumamoto Kumamoto University Interest Sensing based on TV Contents using Smartphone
Yuichiro Kida, Junya Okuno, Shunsuke Aoki, Kaoru Sezaki (Univ. of Tokyo) MoNA2013-44
Nowadays, there are so many kind of advertising media in the world. Especially, online advertising started to focus on u... [more] MoNA2013-44
pp.17-22
ASN, IPSJ-UBI 2013-05-16
15:10
Kumamoto Kumamoto University Privacy-aware Estimation of User's Geographical Distribution
Shoko Minagawa (Keio Univ.), Shunsuke Aoki (Tokyo Univ.), Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2013-11
Recently, devices such as mobile phones and tablets are widespread. Therefore, location-based applications are gathering... [more] ASN2013-11
pp.55-60
ASN, IPSJ-UBI 2013-05-16
16:40
Kumamoto Kumamoto University [Poster Presentation] Privacy Protection with State-Dependent Noise for Participatory Environmental Sensing
Shunsuke Aoki, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) ASN2013-14
With the rapid spread of smartphones mounted multiple sensors, participatory environmental sensing is emerging system fo... [more] ASN2013-14
pp.73-78
LOIS 2013-03-07
15:10
Okinawa   A Study of Privacy-Preserving Participatory Sensing with Empirical Data Distributions
Shunsuke Aoki, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) LOIS2012-83
Participatory sensing is emerging paradigm for collecting spatial statistical information by gathering data from citizen... [more] LOIS2012-83
pp.83-88
IA 2013-02-14
- 2013-02-15
Tokyo Kikai-Shinko-Kaikan Bldg. Reporting Modern Research Styles in Europe
Keijiro Nakagawa, Shunsuke Aoki, Hiroki Kobayashi, Masayuki Iwai, Kaoru Sezaki (The Univ. of Tokyo) IA2012-83
In the area of computer science, Japanese research institutes lost their positions in global competition, while it is ge... [more] IA2012-83
pp.79-82
IA 2013-02-15
13:55
Tokyo Kikai-Shinko-Kaikan Bldg. A Study of Techniques for Collecting Spatial Statistical Information
Shunsuke Aoki, Masayuki Iwai, Kaoru Sezaki (Univ. of Tokyo) IA2012-82
Participatory sensing is emerging system for collecting spatial statistical information by gathering data from citizens ... [more] IA2012-82
pp.73-78
 Results 1 - 17 of 17  /   
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