Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
LOIS, IPSJ-DC |
2022-07-07 15:45 |
Online |
Online |
Analysis of interactions between lecturer and students in lectures (Seventh report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2022-9 |
In lectures using blackboard, we can observe the behaviors (listening to the explanation and taking notes) of students c... [more] |
LOIS2022-9 pp.30-34 |
ET |
2018-07-14 10:25 |
Hokkaido |
National Institute of Technology, Hakodate College |
Analysis of behaviors by students and page transition (Third report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ET2018-19 |
In this report, we consider a learning environment, which students solve given problems while reading contents consistin... [more] |
ET2018-19 pp.1-6 |
ET |
2018-03-03 10:50 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Analysis of behaviors by students and page transition (Second report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ET2017-120 |
In this report, we consider a learning environment, which students
solve given problems while reading contents consisti... [more] |
ET2017-120 pp.183-188 |
SANE |
2016-10-20 14:20 |
Osaka |
OIT UMEKITA Knowledge Center |
[Special Talk]
Intelligent Electronic Nose with Metal-Oxide Gas Sensors and its Applicability to Smell Communication Sigeru Omatu (OIT) SANE2016-40 |
In this paper, we will show the e-nose system using neural networks and its
application to fire detection system. Fina... [more] |
SANE2016-40 pp.3-11 |
NLP |
2013-07-09 10:00 |
Okinawa |
Miyako Island Marine Terminal |
Dynamic Sample Size Selection based quasi-Newton Training for Multilayer Neural Networks Hiroshi Ninomiya (SIT) NLP2013-38 |
This paper describes a novel robust training algorithm based on quasi-Newton iteration with the dynamic sample size sele... [more] |
NLP2013-38 pp.63-68 |
ET |
2013-03-29 13:00 |
Ehime |
|
A study on the relationship between page transition and understanding for contents Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kinki Univ.) ET2012-89 |
In this report, we consider a learning environment, which students
solve the problem while reading contents.
Here, we... [more] |
ET2012-89 pp.43-48 |
NC |
2012-07-30 11:35 |
Shiga |
Ritsumeikan Univ. College of Information Science and Engineering |
Noise reduction for images by ensemble learning Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kinki Univ.) NC2012-16 |
This report discusses a restoration method for JPEG images based on
ensemble learning algorithm for multiple multi-laye... [more] |
NC2012-16 pp.13-18 |
NC, NLP |
2011-01-24 09:30 |
Hokkaido |
Hokakido Univ. |
Parameterized online quasi-Newton Training Algorithm for Feedforward Neural Networks Hiroshi Ninomiya (SIT) NLP2010-125 NC2010-89 |
This paper describes a new gradient based technique for training of feedforward neural networks. Recently, improved onli... [more] |
NLP2010-125 NC2010-89 pp.1-6 |
NC, MBE (Joint) |
2010-03-10 09:00 |
Tokyo |
Tamagawa University |
Personal Authentication System Using of Minutia Method and Layered Neural Network for Fingerprints Images Akihiro Tanaka, Shunsuke Onishi, Kentaro Kinoshita, Satoru Kishida (tottori Univ./TEDREC) NC2009-128 |
We constructed the personal authentication system with learning algorithm of back-propagation using a layered neural net... [more] |
NC2009-128 pp.237-242 |
NC, NLP |
2009-07-13 14:30 |
Nara |
NAIST |
Estrus Detection of Cattle by Activity using Neural Network Ryosuke Kawakami, Toru Watanabe (Matsue College of Technology), Makoto Dohi (Shimane Univ.), Motoi Nakashima (Innovit) NLP2009-21 NC2009-14 |
Cattle breeders in Japan are facing problem of declining productivity by missing estrous sign of maternal cows with resu... [more] |
NLP2009-21 NC2009-14 pp.37-42 |
ITE-ME, ITE-AIT, ITE-BCT, IE |
2008-11-28 14:10 |
Nagasaki |
Nagasaki Univ. |
Region segmentation for color images based on competitive learning between multi-layered neural networks Eiji Watanabe (Konan Univ.), Katsumi Mori (Fukuyama Univ.) IE2008-97 |
Image segmentation plays an important role in image understanding.
It is necessary for such a method to extract each r... [more] |
IE2008-97 pp.55-60 |
NC, MBE (Joint) |
2008-03-14 14:30 |
Tokyo |
Tamagawa Univ |
Construction of Hybrid Authentication System for Voiceprint and Fingerprint Hikari Kobayashi, Akihiro Tanaka, Satoru Kishida (Tottori Univ.), Toru Watanabe (Matsue National College of Technology), Hiromu Hasegawa (Tottori Univ.) NC2007-183 |
(To be available after the conference date) [more] |
NC2007-183 pp.421-426 |
NC, MBE (Joint) |
2008-03-14 14:50 |
Tokyo |
Tamagawa Univ |
Construction of Voiceprint Personal Authentication System with Hierarchical Neural Network Akihiro Tanaka, Hikari Kobayashi, Satoru Kishida, Hiromu Hasegawa (Tottori Univ.), Toru Watanabe (Matsue National College of Technology) NC2007-184 |
We constructed an individual authentication system with three-layered neural networks, where voice was used as a biometr... [more] |
NC2007-184 pp.427-431 |
NC |
2006-03-17 11:00 |
Tokyo |
Tamagawa University |
Construction of Fingerprint Recognition System on fast fourier transform preprocessing by Layered Neural Network Akihiro Tanaka, Koichi Nishimura, Satoru Kishida (Tottori Univ.), Toru Watanabe (Matsue NCT), Hiroshi Hasegawa (SECOM SANIN) |
We constructed an individual identification system with three-layered neural networks on back-propagation learning algor... [more] |
NC2005-166 pp.91-96 |
NC |
2006-01-24 11:45 |
Hokkaido |
Hokkaido Univ. |
Personal authentication based on keystrokes by using multi-layered neural networks Eiji Watanabe (Konan Univ.) |
This report discusses a personal authentication method based on the keystroke dynamics, which is extracted from password... [more] |
NC2005-103 pp.31-35 |
NLP, CAS |
2004-09-14 10:50 |
Kyoto |
Kyoto Univ. |
A study of the learning algorithm based on homotopy method for feedforward neural networks Chikahiro Tomita (Shizuoka Univ.), Masahiro Yoshida (SHARP), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.) |
Many kinds of gradient methods have been applied for learning of the feedforward neural networks in order to improve the... [more] |
CAS2004-32 NLP2004-44 pp.25-29 |