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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 11:45 |
Online | Online | Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network Amartuvshin Bayasgalan, Makoto Ikeda (UTokyo)  SDM2021-32 ICD2021-3 |
Reservoir computing (RC) is a machine-learning algorithm that can learn complex temporal signals while presenting a fast... [more] | SDM2021-32 ICD2021-3 pp.12-17 |
| ET | 2021-03-06 10:10 |
Online | Online | An approach for distance learning of engineering experiments in KOSEN, Japan Akihiro Sakaguchi, Yuji Teshima (NIT Sasebo College), Kazuhide Sigimoto (NIT) ET2020-51 |
The purpose of this study is to verify the possibility to introduce an online approach on engineering experiment. Two gr... [more] | ET2020-51 pp.1-6 |
| US | 2020-04-27 13:30 |
Online | Online | Three-dimensional numerical simulation for harmonic guided wave by nonlinear aerial ultrasonic wave irradiation Kenta Yamada, Ayumu Osumi, Youichi Ito (Nihon Univ.) US2020-1 |
We have studied a fast broadband imaging using harmonic by nonlinearity of high-intensity aerial ultrasonic wave and a s... [more] | US2020-1 pp.1-5 |
| ET | 2020-03-07 10:35 |
Kagawa | National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
Implementation and evaluation of language learning support module applying speech recognition Yusuke Kawamura, Chunxiang Chen, Renfeng Hou (PUH) ET2019-87 |
The development of speech recognition and speech synthesis technology has been remarkable due to the development of deep... [more] | ET2019-87 pp.63-67 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9 |
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] | PRMU2016-54 IBISML2016-9 pp.1-5 |
|
| IE | 2016-07-01 14:40 |
Okinawa | Subjective assessment of Super-Resolution on 4K-TV
-- Performance of Learning-Based Super-Resolution and Non-Linear Signal Processing -- Hiroki Shoji, Seiichi Gohshi (Kogakuin Univ.) IE2016-43 |
4K television (TV) has become common in the market and the prices have become reasonable. Most of 4K TV sets are equippe... [more] | IE2016-43 pp.43-48 |
|
| PRMU, SP, WIT, ASJ-H | 2016-06-13 10:00 |
Tokyo | Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3 |
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] | PRMU2016-37 SP2016-3 WIT2016-3 pp.13-18 |
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| NC, NLP (Joint) |
2016-01-29 15:50 |
Fukuoka | Kyushu Institute of Technology | Node-perturbation Learning for Soft-committee machine Kazuyuki Hara (Nihon Univ.), Kentaro Katahira (Nagoya Univ.) NC2015-66 |
Node perturbation learning is a stochastic gradient descent method for neural networks. It estimates the gradient of the... [more] | NC2015-66 pp.49-54 |
| ET | 2015-03-14 13:40 |
Tokushima | Shikoku Univ. Plaza | Automatic Marking of Answers Handwritten on a Tablet Masaki Nakagawa, Yoshiro Uchida, Shinsuke Sasaki, Kazuhiro Mita (TUAT) ET2014-113 |
Assuming questions requiring free writing answers rather than selections are indispensable to test deep understanding by... [more] | ET2014-113 pp.157-162 |
| NC, MBE (Joint) |
2013-07-19 14:30 |
Tokushima | The University of Tokushima | Statistical Mechanics of node-perturbation Learning using two independent noises Kazuyuki Hara (Nihon Univ.), Kentaro Katahira, Masato Okada (Univ. of Tokyo) NC2013-17 |
Node perturbation learning is a stochastic gradient descent method for neural networks. It estimates the gradient by com... [more] | NC2013-17 pp.13-18 |
| TL | 2012-07-22 15:30 |
Yamagata | Yamagata University | Japanese EFL Learners' On-line Sensitivity to Subject-verb Number Dis/agreement in English Toshiyuki Yamada, Yuki Hirose (Univ. of Tokyo) TL2012-25 |
This study examined Japanese EFL learners' on-line sensitivity to a L2 English property that is not found in their L1 Ja... [more] | TL2012-25 pp.85-90 |
| IBISML | 2012-06-19 10:30 |
Kyoto | Campus plaza Kyoto | Learning Non-Linear Classifiers with a Sparsity Upper-Bound via Efficient Model Selection Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara (Kobe Univ.) IBISML2012-2 |
Support Vector Machines, when combined with kernels, achieve state-of-the-art accuracy on many datasets. However, their... [more] |
IBISML2012-2 pp.9-14 |
| MI | 2012-01-19 11:00 |
Okinawa | Web-based CAD server for clinical use, evaluation, and incremental learning
-- Incremental learning of CAD software based on multicenter trial in teleradiology environment -- Yukihiro Nomura, Yoshitaka Masutani, Naoto Hayashi, Soichiro Miki, Mitsutaka Nemoto, Shouhei Hanaoka, Takeharu Yoshikawa, Kuni Ohtomo (The Univ. of Tokyo) MI2011-81 |
We have been building a web-based CAD server (CIRCUS CS) that enables radiologists to use CAD software and to give feedb... [more] | MI2011-81 pp.23-28 |
|
| NC | 2011-10-20 13:10 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Statistical Mechanics of Node-Perturbation Learning for Nonlinear Perceptron Kazuyuki Hara (Nihon Univ.), Kentaro Katahira (JST), Kazuo Okanoya (RIKEN), Masato Okada (Tokyo Univ.) NC2011-63 |
Node-perturbation learning is a kind of statistical gradient descent algorithm that can be applied to problems where the... [more] | NC2011-63 pp.107-112 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical mechanics of on-line learning using correlated examples Kento Nakao (Kansai Univ.), Yuuta Narukawa (Daihen), Seiji Miyoshi (Kansai Univ.) IBISML2010-91 |
We consider a model composed of nonlinear perceptrons and analytically investigate the generalization performance of lea... [more] | IBISML2010-91 pp.239-244 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical Mechanics of Adaptive Weight Perturbation Learning Ryousuke Miyoshi, Yutaka Maeda, Seiji Miyoshi (Kansai Univ.) IBISML2010-92 |
The weight perturbation learning was proposed as a learning rule which adds perturbation to the variable parameters of ... [more] | IBISML2010-92 pp.245-250 |
| MI | 2010-09-03 12:50 |
Saitama | [Poster Presentation]
Web-based CAD server for clinical use, evaluation, and incremental learning
-- Preliminary study for incremental learning of CAD software based on clinical feedback -- Yukihiro Nomura, Naoto Hayashi, Yoshitaka Masutani, Takeharu Yoshikawa, Mitsutaka Nemoto, Shouhei Hanaoka, Soichiro Miki, Eriko Maeda, Kuni Ohtomo (Univ. of Tokyo) MI2010-55 |
We have been building a web-based CAD server that enables radiologists to use CAD software and to give feedback in clini... [more] | MI2010-55 pp.31-36 |
|
| PRMU, HIP | 2008-09-05 17:30 |
Kanagawa | Keio Univ. | 3D Body-part Tracking of a Human and Clothing using Probabilistic Non-linear Time-series Volume Learning Michiro Hirai, Norimichi Ukita, Masatsugu Kidode (NAIST) PRMU2008-64 HIP2008-64 |
We propose a method for tracking 3D human body parts and clothing fromsynchronized video sequences. Our objective is (1)... [more] | PRMU2008-64 HIP2008-64 pp.105-112 |
| SP | 2008-03-21 15:15 |
Tokyo | Univ. Tokyo | On-line Discrimination of Speakers without prior Learning Shinji Kutomi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) SP2007-211 |
This paper presents on-line system for discriminating speakers without prior learning of speaker information. This syste... [more] | SP2007-211 pp.145-150 |
| NC | 2008-01-16 15:40 |
Hokkaido | Centennial Hall, Hokkaido Univ. | A proposal of Self-Evolving Modular Network Nobuyuki Kawabata, Kazuhiro Tokunaga, Tetsuo Furukawa (KIT) NC2007-111 |
In this paper, a novel Modular network called Self-Evolving Modular Network (SEEM) is proposed. The SEEM has the followi... [more] | NC2007-111 pp.141-146 |
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