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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP, ITE-HI, VRPSY [detail] 2023-02-22
15:35
Toyama
(Primary: On-site, Secondary: Online)
The relationship between the beauty of fractals and processing fluency -- Evidence from same-different response time and masking tasks --
Hayato Goto, Yousuke Kawachi (Tohoku Univ.)
(To be available after the conference date) [more]
HCS 2021-08-22
14:35
Online Online Will VR open up people' s minds? -- Effects of online communication media on self-disclosure --
Junko Ichino, Masahiro Ide (Tokyo City Univ.), Hitomi Yokoyama (Okayama Univ. of Science), Hirotoshi Asano (Kogakuin Univ.), Hideo Miyachi, Daisuke Okabe (Tokyo City Univ.) HCS2021-31
It is known that people behave more openly in cyberspace than in real space, but how communication via embodied avatars ... [more] HCS2021-31
pp.78-83
SIS 2021-03-04
10:20
Online Online Evaluation of Sound Field by Monofractal Dimension
Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-39
Environmental sound is composed of sounds generated from various sources. And, the sound pressure waveform is constantly... [more] SIS2020-39
pp.21-26
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Cognitive augmentation by the virtual unrealistic experience of viewing own body from a third-person perspective
Ryo Hanashima, Junji Ohyama (AIST)
Third-person view of the body from the outside could grasp movements of the whole body that cannot be grasped normally. ... [more]
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
15:45
Online Online A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model... [more] NC2020-23
pp.77-82
MI 2020-09-03
13:10
Online Online [Invited Talk] Manifold modeling in embedded space for image restoration
Tatsuya Yokota (Nitech) MI2020-27
In this invited talk, I will discuss convolutional neural networks, which have achieved remarkable results in various im... [more] MI2020-27
pp.43-44
NC, MBE
(Joint)
2020-03-05
13:50
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A Proposal of Self-Organizing Maps Based on Learning with Attribute Information
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2019-96
Self-organizing maps(SOM) is a simple algorithm, and has excellent clustering capabilities. However, since SOM performs ... [more] NC2019-96
pp.119-124
MBE, NC 2019-10-12
10:50
Miyagi   An Optimization for Classification by Self-Organizing Maps Based on Attribute Information
Tetsuya Sato (Nihon Univ.), Kazuma Tsuchida (STUDIO ONE OR EIGHT), Yukari Yamauti (Nihon Univ.) MBE2019-41 NC2019-32
Self-Organizing Map (SOM) is a simple algorithm that has excellent clustering capabilities and adapts continuous changes... [more] MBE2019-41 NC2019-32
pp.59-63
SIP, CAS, CS 2013-03-14
14:15
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Image Interpolation Method Based on the Non-Local Means
Taichi Yoshida, Masaaki Ikehara, Masaaki Ikehara (Keio Univ.) CAS2012-105 SIP2012-136 CS2012-111
In this paper, we propose an image interpolation method based on the non-local means and the self similarity. Interpolat... [more] CAS2012-105 SIP2012-136 CS2012-111
pp.51-55
SIP, CAS, CS 2013-03-14
14:40
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Self-learning super resolution by L2-norm
Daiki Azuma (Keio Univ.), Kazu Mishiba (Tottori Univ.), Masaaki Ikehara (Keio Univ.) CAS2012-106 SIP2012-137 CS2012-112
In this paper, we propose a single image super resolution technique by L2 approximation without any training. Recently i... [more] CAS2012-106 SIP2012-137 CS2012-112
pp.57-61
MBE, NC
(Joint)
2013-03-14
14:05
Tokyo Tamagawa University Signal Analysis towards BCI by Recurrent Self Organizing Map
Yuuma Kino, Yukari Yamauchi (Nihon Univ.) NC2012-162
Recurrent Self-Organizing Map: RSOM has been proposed by Markus. Clustering of time series signal is available at RSOM.... [more] NC2012-162
pp.163-166
MBE, NC
(Joint)
2013-03-15
14:10
Tokyo Tamagawa University A Proposal of Similarity-Based Self-Organizing Map
Masaya Nakakura, Yukari Yamauchi (Nihon Univ) NC2012-178
The Haraguchi and others suggested Lazy Self-organizing Map which applied the world of the ant to Self-organizing Map. I... [more] NC2012-178
pp.255-260
MBE, NC
(Joint)
2013-03-15
15:10
Tokyo Tamagawa University Detection of unknown sound using self-organizing neural network SOINN.
Akito Takazaki, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2012-180
The pattern recognition systems constructed of the neural networks generally need prior information as the training data... [more] NC2012-180
pp.267-272
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. A kernel-based approach for matrix and tensor completion
Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo) IBISML2011-53
We study a new kernel-based framework for matrix and tensor completion problems. Our model provides a consistent way to ... [more] IBISML2011-53
pp.71-77
CS, NS, IN
(Joint)
2011-09-01
10:00
Miyagi Tohoku University A Method of Estimating an Allowable Link-Usage Rate for Increase of Network Traffic Demand
Shuichi Nawata, Takeshi Kitahara, Norihiro Fukumoto (KDDI R&D Labs), Hajime Nakamura (KDDI) NS2011-61
Network traffic is increasing drastically due to increase of bandwidths of access networks and spread of new application... [more] NS2011-61
pp.1-4
PRMU, DE 2011-06-06
13:00
Kanagawa   Mining Self-Similarity for Near-Duplicate Video Retrieval
Zhipeng Wu, Kiyoharu Aizawa (Univ. of Tokyo) DE2011-5 PRMU2011-36
Nowadays, with the exponential growth of digital video sources such as video-sharing websites and online TV broadcasting... [more] DE2011-5 PRMU2011-36
pp.25-30
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Index Type Full-Text Search Support System Using Self-Organizing Map
Takahito Kuniyoshi, Tomoko Ozeki (Tokai Univ.) IBISML2010-78
This study is aimed for imprevent of the search efficiency by performing a dynamic classification for matched pages to q... [more] IBISML2010-78
pp.147-150
NLP 2010-10-28
11:20
Osaka Osaka University Machikaneyama Hall Analysis of self-organizing function based on synchronization phenomena of a pulse-coupled network
Kai Kinoshita, Hiroyuki Torikai (Osaka Univ.) NLP2010-83
In this paper, we introduce a resonate-and-fire type spiking neuron model and analyze its stability of
synchronization ... [more]
NLP2010-83
pp.13-18
NC, MBE
(Joint)
2010-03-11
16:25
Tokyo Tamagawa University Similarity-based Image Retrieval considering Artifacts by Self-Organizing Map with Refractoriness
Syohei Hayashida, Yuko Osana (Tokyo Univ. of Tech.) NC2009-173
In this report, we propose a similarity-based image retrieval
considering artifacts by self-organizing map with refract... [more]
NC2009-173
pp.501-506
NC, MBE
(Joint)
2009-03-13
13:25
Tokyo Tamagawa Univ. Estimation of landmine class likelihood by evaluating the degree of matching in ring-CSOM space
Yukimasa Nakano, Akira Hirose (Tokyo Univ.) NC2008-169
For metal detectors and ground penetrating radar (GPR) systems, it has been a hard task to visualize antipersonnel plast... [more] NC2008-169
pp.387-391
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