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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, BioX 2017-03-20
17:35
Aichi   Visual-SLAM with Unfixed Monocular Camera in Dynamic Environment
Takahiro Terashima, Osamu Hasegawa (Tokyo Tech) BioX2016-51 PRMU2016-214
SLAM(Simultaneous Localization and Mapping) is a core subject in computer vision and robotics.The problem of SLAM is to ... [more] BioX2016-51 PRMU2016-214
pp.111-116
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-22
15:00
Nara   Automatic learning and recognition of unknown object by image search and keyword search
Shunichiro Mizuno, Osamu Hasegawa (Tokyo Tech) PRMU2014-96 MVE2014-58
We should teach the feature to the computer system to recognize the real world object. This is very laborious work. In o... [more] PRMU2014-96 MVE2014-58
pp.105-110
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
14:00
Nara   Swing-free Trajectories for The Quadcopter with a Suspended Load Using JIT Predictive Control
Nariyuki Matsumoto, Syohei Enomoto, Osamu Hasegawa (titech) PRMU2014-108 MVE2014-70
Recently, The quadcopter is one of Unmanned Aerial Vehicle which is extensively researched, in particular the quadcopter... [more] PRMU2014-108 MVE2014-70
pp.259-264
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
14:25
Nara   Simultaneous Localization and Mapping by Hand-Held Monocular Camera in a Crowd
Toru Kayanuma, Gangchen Hua, Osamu Hasegawa (Tokyo Tech) PRMU2014-109 MVE2014-71
SLAM is a popular method for generating maps for localization or navigation. But the existing methods always meet proble... [more] PRMU2014-109 MVE2014-71
pp.265-270
PRMU 2014-03-14
09:00
Tokyo   Hierarchical Single Image Super-Resolution Based on Dictionary Learning
Toshihiro Kitao, Osamu Hasegawa (Tokyo Inst. of Tech.) PRMU2013-192
Single image super-resolution, a technology to reconstruct a high-resolution image from a single low-resolution image, i... [more] PRMU2013-192
pp.145-150
EMM 2013-03-08
09:30
Kyoto   Acquirement and usage causal relationship contained in multi-modal information
Ryutaro Nishimura, Osamu Hasegawa (Tokyo Inst. of Tech.) EMM2012-114
This study is aimed at development available method for estimation causal relationship in multi-modal information in rob... [more] EMM2012-114
pp.41-46
PRMU 2013-02-21
14:00
Osaka   High-dimensional non-parametric probability density estimation using self organizing incremental neural network
Hiroshi Takahashi, Yoshihiro Nakamura, Osamu Hasegawa (Titech) PRMU2012-139
Kernel Density Estimation has problems with high-dimensional and mass data, for example, accuracy and calculation amount... [more] PRMU2012-139
pp.55-60
PRMU 2013-02-21
15:00
Osaka   Fast online multivariate non-parametric density estimation under noisy environment
Yoshihiro Nakamura, Hiroshi Takahashi, Osamu Hasegawa (Titech) PRMU2012-141
Recently, with the development of network and sensors technology, a huge number of data are generating continuously in r... [more] PRMU2012-141
pp.67-72
NC 2009-10-23
16:25
Saga Saga University An Associative Memory with Online Learning and Temporal Memory
Wataru Kasai, Naoya Makibuchi, Osamu Hasegawa (Tokyo Inst. of Tech.) NC2009-41
In this paper, we propose new system to realize some useful functions needed for the associative memory. By building thr... [more] NC2009-41
pp.25-30
PRMU 2009-03-13
14:15
Miyagi Tohoku Institute of Technology [Special Talk] none
Osamu Hasegawa (Tokyo Institute of Tech.) PRMU2008-249
 [more] PRMU2008-249
pp.61-70
NC 2007-03-15
11:20
Tokyo Tamagawa University Active Selection of Labeled Data Using Online Competitive Learning
Keisuke Sakurai, Osamu Hasegawa (Tokyo Tech)
 [more] NC2006-174
pp.123-128
NC 2007-03-15
13:40
Tokyo Tamagawa University E-SOINN: Enhanced Self-Organizing Incremental Neural Network
Tomotaka Ogura (Tokyo Inst. Tech.), Furao Shen (Nanjing Univ.), Osamu Hasegawa (Tokyo Inst. Tech.)
 [more] NC2006-178
pp.147-152
NC 2007-03-15
14:00
Tokyo Tamagawa University Incremental Semi-supervised Learning Based on Self-organized Incremental Neural Networks
Youki Kamiya, Toshiaki Ishii, Osamu Hasegawa (Tokyo Inst. of Tech.)
We propose a method for incremental semi-supervised learning and recognition based on self-organized neural networks. It... [more] NC2006-179
pp.153-158
PRMU, NLC, TL 2006-10-19
15:10
Tokyo   Developmental Word Acquisition And Grammar Learning by Humanoid Robots through A Self-Organizing Incremental Neural Network
Tomotaka Ogura, Xiaoyuan He, Akihiro Satou, Osamu Hasegawa (TIT)
We present a new approach for on-line incremental word acquisition and grammar learning by humanoid robots. Without any ... [more] TL2006-23 NLC2006-19 PRMU2006-100
pp.33-38(TL), pp.33-38(NLC), pp.51-56(PRMU)
PRMU 2005-10-28
15:45
Miyagi Tohoku Univ. Learning, Recognition and Generation of Time-series Patterns Based on Self-organizing Segmentation
Shogo Okada, Osamu Hasegawa (TIT)
 [more] PRMU2005-103
pp.61-66
PRMU, NLC 2005-09-21
11:10
Tokyo   Developmental Word Grounding Through Growing Neural Network with Humanoid Robot
Ryo Kojima, Osamu Hasegawa (TITech)
This paper presents an unsupervised approach of integrating speech and visual information without using any prepared dat... [more] NLC2005-30 PRMU2005-57
pp.35-40
 Results 1 - 16 of 16  /   
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