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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2022-03-10 15:50 |
Online | Online (Online) | Visual Constraints for Generating Multi-domain Offline Handwritten Mathematical Expressions Huy Quang Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. Agri. & Tech.), Tsunenori Ishioka (The National Cen. for Univ. Entrance Exam.), Masaki Nakagawa (Tokyo Univ. Agri. & Tech.)  PRMU2021-69 |
Offline Handwritten Mathematical Expression (HME) recognition has been intensively studied for two decades. However, mos... [more] | PRMU2021-69 pp.54-59 |
| WIT, IPSJ-AAC | 2022-03-08 10:20 |
Online | Online (Online) | The Prototype of a Real Time Mobile Braille Pattern Detection Utilizing Machine Learning for a Self-study Tool for Visually Impaired People Jevri Tri Ardiansah, Okazaki Yasuhisa (Saga University) WIT2021-45 |
The capacity to read and write is called literacy. Literacy is necessary for a good education, a good job, and a high qu... [more] | WIT2021-45 pp.12-17 |
| NC, MBE (Joint) |
2020-03-06 13:25 |
Tokyo | University of Electro Communications (Tokyo) (Cancelled but technical report was issued) |
Modular Reservoir Network for Pattern Recognition Yifan Dai, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2019-110 |
This work is based on liquid state machine (LSM) [1], which is a reservoir network [2] that yields deep relationship wit... [more] | NC2019-110 p.199 |
| NLP, NC (Joint) |
2020-01-24 17:05 |
Okinawa | Miyakojima Marine Terminal (Okinawa) | [Invited Talk]
Neocognitron: Deep Convolutional Neural Network Kunihiko Fukushima (FLSI) NLP2019-100 |
Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognit... [more] | NLP2019-100 pp.79-82 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 09:00 |
Tokyo | (Tokyo) | A study on performance improvement of multi-class image classification using modified CS-LBP features Toshiaki Inoue (Pioneer) PRMU2016-35 SP2016-1 WIT2016-1 |
LBP feature, suitable for robust and low-cost texture classification, is expected to be available for high-performance i... [more] | PRMU2016-35 SP2016-1 WIT2016-1 pp.1-6 |
| WIT, HI-SIGACI | 2015-12-08 15:00 |
Tokyo | AIST Tokyo Waterfront (Tokyo) | Supporting Development of Speech Visualization Mode for Deaf and Hard of Hearing People Support Yusuke Toba, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Tomohito Uchino, Tomohiro Yokoyama, Yasuhiro Takebayashi (School for the Deaf, University of Tsukuba) WIT2015-63 |
We have proposed a multi-modal visualization application in order to support deaf and hard of hearing people in understa... [more] | WIT2015-63 pp.1-6 |
| HIP | 2015-09-29 15:45 |
Kyoto | Kyoto Terrsa (Kyoto) | The effects of cognitive loads derived from voice or manual responses on microsaccade rate Yuma Nakai, Syohei Ohtani, Yuji Kanoh (Kinki Univ.), Masaya Yamamoto, Shinichi Ueda, Masayuki Kurihara (Tokai Rika.), Takeshi Kohama, Hisashi Yoshida (Kinki Univ.) HIP2015-87 |
Voice recognition technologies are widely applied to the general-purpose devices. However, cognitive-loads of voice oper... [more] | HIP2015-87 pp.79-84 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-24 16:00 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | [Invited Talk]
Deep Convolutional Neural Network Neocognitron and its Advances Kunihiko Fukushima (FLSI) NC2015-3 IBISML2015-20 |
The neocognitron is a multi-layered convolutional network that can be trained to recognize visual patterns robustly. In ... [more] | NC2015-3 IBISML2015-20 pp.49-54(NC), pp.165-170(IBISML) |
| WIT | 2015-03-14 14:10 |
Ibaraki | Kasuga Campus, Tsukuba University of Technology (Ibaraki) | Low Vision Aid through Laser Retina Imaging
-- Toward Building Eyesightaid -- Yasuyuki Murai (Nihon Pharmaceutical Univ.), Makoto Suzuki, Mitsuru Sugawara (QD Laser), Hisayuki Tatsumi, Masahiro Miyakawa (Tsukuba Univ. of Tech.) WIT2014-114 |
Laser Retina Imaging technology enables creation of a clear picture in active retina area of low vision individual, and ... [more] | WIT2014-114 pp.165-170 |
| WIT | 2013-10-27 08:20 |
Kagoshima | (Kagoshima) | Applying Figure Education by Generating a Linear Figure with the Movement Sense of Localized Sound for Visually Impaired Persons Keiichi Shounai, Masahiko Sugimoto (Takushoku Univ Hokkaido College), Michio Shimizu (Nagano Prefectural College), Kazunori Itoh (Shinshu Univ.) WIT2013-52 |
In this paper, we studied a figure education system to learn about fundamental linear figures for visually impaired pers... [more] | WIT2013-52 pp.49-54 |
| PRMU | 2013-03-14 16:30 |
Tokyo | (Tokyo) | Learning Process Visualization of LVQ and Learning Observation at Place where Turning Point Exists Yoshiaki Kurosawa (Toshiab Solutions) PRMU2012-198 |
LVQ is one of the basic learning methods in the field of pattern recognition and it can be described by probabilistic de... [more] | PRMU2012-198 pp.105-110 |
| MBE, NC (Joint) |
2013-03-13 13:45 |
Tokyo | Tamagawa University (Tokyo) | Three-staged Neocognitron: Optimal Thereshold and Thinning-out of Cells {Chihiro Yamamoto, Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (FLSI) NC2012-143 |
The neocognitron is a hierarchical multi-layered neural network capable of robust visual pattern recognition. In the ... [more] |
NC2012-143 pp.55-60 |
| SP, WIT | 2012-09-28 13:30 |
Tokyo | Shibaura Institute of Technology (Tokyo) | Evaluation of the factor to affect the spatial recognition of enlarged presentation on a tactile display
-- To convey a figure/graph information to the visually impaired people -- Tadahiro Sakai, Takuya Handa, Toshihiro Shimizu (NHK) SP2012-58 WIT2012-10 |
We report a trial to assess users' ability to quickly and accurately grasp patterns such as figures and menus presented ... [more] | SP2012-58 WIT2012-10 pp.1-6 |
| MBE, NC (Joint) |
2012-03-14 13:20 |
Tokyo | Tamagawa University (Tokyo) | Training Multi-layered Neural Network Neocognitron Kunihiko Fukushima NC2011-128 |
This paper proposes new learning rules suited for training multi-layered neural networks and apply them to the neocognit... [more] | NC2011-128 pp.39-44 |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-20 10:40 |
Osaka | (Osaka) | Visual Odometry using Shadow Information under Multi-direction and Multi-color Lighting Katsuya Aihara, Ryosuke Ezaki, Masahiro Iwahashi, Tetsuya Kimura (Nagaoka Univ. of Tech.) PRMU2011-174 MVE2011-83 |
Demand for visual odometry to estimate the amount of movement from the video camera rises in the disaster site. In the d... [more] | PRMU2011-174 MVE2011-83 pp.285-290 |
| WIT | 2011-01-22 11:00 |
Kyoto | Ritsumeikan (Kyoto) | A Fundamental Study of Pattern Recognition Learning Tool by Auditory labels based on the Vector component for People with Visual Impairment. Koichi Komiya, Junji Onishi, Tsukasa Ono (Tsukuba Tech Univ.) WIT2010-59 |
It is a common practice for people with visual impairment to use tactile devices to recognize object. However, it is dif... [more] | WIT2010-59 pp.13-18 |
| PRMU, SP, WIT | 2010-10-08 16:50 |
Chiba | (Chiba) | Pattern Recognition by Auditory labels based on the contour chain code for People with Visual Impairment. Koichi Komiya, Junji Onishi, Tsukasa Ono (Tsukuba Univ. of Tech.) PRMU2010-97 SP2010-53 WIT2010-41 |
It is a common practice for people with visual impairment to use tactile devices to recognize objects. However, it is di... [more] | PRMU2010-97 SP2010-53 WIT2010-41 pp.47-52 |
| NC, MBE (Joint) |
2010-03-11 16:00 |
Tokyo | Tamagawa University (Tokyo) | Neocognitron Trained by a New Competitive Learning Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Comm.), Masayuki Kikuchi, Yuki Makino (Tokyo Univ. of Tech.) NC2009-155 |
The "neocognitron" is a hierarchical multilayered neural network capable of robust visual pattern recognition. It acqui... [more] | NC2009-155 pp.397-402 |
| MBE | 2005-07-30 16:35 |
Tokushima | (Tokushima) | Characteristics of BP Neural Networks for Pattern Classification Hirohito Shintani, Masatake Akutagawa, Hirofumi Nagashino, Yohsuke Kinouchi (The Univ. of Tokushima) |
The method of extracting the features is effective in pattern recognition. We have developed a small scale four layered ... [more] | MBE2005-53 pp.57-60 |
| MBE | 2004-06-18 16:40 |
Hokkaido | Hokkaido University (Hokkaido) | The recognition characteristics of a neural network model based on simplifyed visual cortex Hirohito Shintani, Masatake Akutagawa, Hirofumi Nagashino, Yohsuke Kinouchi (Tokushima Univ.) |
The method of extracting the features is effective in pattern recognition. We have developed a small scale four layered ... [more] | MBE2004-19 pp.33-36 |
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