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All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2018-12-14
10:00
Miyagi   Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks
Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
(To be available after the conference date) [more] PRMU2018-82
pp.39-44
PRMU 2017-12-17
13:00
Kanagawa  
Yusuke Uchida (DeNA), Takayoshi Yamashita (Chubu Univ.)
(To be available after the conference date) [more] PRMU2017-105
pp.25-38
PRMU 2017-10-12
14:00
Kumamoto   Self-state-aware convolutional neural network for autonomous driving
Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
 [more] PRMU2017-77
pp.85-90
PRMU 2017-10-13
09:45
Kumamoto   [Survey paper] Vision-based path prediction
Tsubasa Hirakawa, Takayoshi Yamashita (Chubu Univ.), Toru Tamaki (Hiroshima Univ.), Hironobu Fujiyoshi (Chubu Univ.)
Path prediction is a method to predict future migration pathway of an object such as pedestrian or car in a movie. Becau... [more] PRMU2017-82
pp.109-118
PRMU 2017-10-13
14:50
Kumamoto    [more] PRMU2017-94
pp.175-180
PRMU, BioX 2017-03-21
14:35
Aichi   Noise Detection of Regression Forests with AutoEncoder
Masaya Hibino (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.)
(To be available after the conference date) [more] BioX2016-68 PRMU2016-231
pp.209-214
PRMU 2016-12-16
10:00
Tottori   [Short Paper]
Hironobu Fujiyoshi, Takayoshi Yamashita, Yuji Yamauchi (Chubu Univ.)
 [more] PRMU2016-118
pp.25-26
PRMU 2016-12-16
12:45
Tottori  
Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu univ.)
 [more] PRMU2016-121
pp.37-46
PRMU 2016-12-16
13:15
Tottori   (To be available after the conference date) [more] PRMU2016-122
pp.47-52
ET 2016-06-11
16:10
Aichi Nagoya Institute of Technology Analysis of the Learning Effects in Programming Education Focused on Social Skills
Uchi Masaya, Suzuki Yuri (Chubu Univ), Ishii Norio (Aichi Kiwami College of Nursing), Itai Akitoshi, Yamashita Takayoshi (Chubu Univ)
The purpose of this research is to analyze the learning effects of programming education with a focus on the learners’ s... [more] ET2016-19
pp.65-70
ET 2016-06-11
16:35
Aichi Nagoya Institute of Technology A depelopement class design for a improvement modeling skill
Maho Ueda, Yuri Suzuki, Yamashita Takayoshi, Itai Akitoshi (Chubu Univ.), Norio Ishii (Aichi Kiwami College of Nursing)
In this paper, we report on class design improvements and their effects in classes on robot building aimed at cultivatin... [more] ET2016-20
pp.71-76
PRMU, BioX 2016-03-25
15:45
Tokyo   Efficient Mondrian Forests by Introducing Supervised Learning
Ryuei Murata (Chubu Univ.), Akisato Kimura, Yoshitaka Ushiku (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.)
Mondrian Forests is an online learning method based on framework of Random Forests. At the online learning, Mondrian For... [more] BioX2015-73 PRMU2015-196
pp.191-196
PRMU, CNR 2016-02-22
09:30
Fukuoka   Proposal of Image Recognition Engine for Cloud Robotics
Yuji Yamauchi, Yu Kato, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
As the workforce continues to shrink due to the aging population, robots are expected to be utilized for the care of per... [more] PRMU2015-149 CNR2015-50
pp.91-96
PRMU, BioX 2015-03-20
14:00
Kanagawa   Training of Random Forests Using Covariate Shift on Parallel Distributed Processing
Ryoji Wakayama (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.)
Machine learning with big data improves a classification performance but increases computatinal cost for learning. Paral... [more] BioX2014-73 PRMU2014-193
pp.205-210
PRMU, CNR 2015-02-19
16:20
Miyagi   [Poster Presentation] Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch
Masatoshi Kimura, Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.)
We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose.
Al... [more]
PRMU2014-127 CNR2014-42
pp.87-88
PRMU 2014-06-20
09:30
Tokyo   Transfer Forest based on Covariate Shift
Masamitsu Tsuchiya (SECURE, INC.), Ryo Yumiba (Hitachi, Ltd.), Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
 [more] PRMU2014-27
pp.31-36
PRMU, CNR 2014-02-13
16:10
Fukuoka   [Poster Presentation] Incremental Learning of Hand Gestures based on Subunit Sequences
Ryo Kawahata, Yanrung Wan, Atsushi Shimada (Kyushu Univ.), Takayoshi Yamashita (OMRON), Rin-ichiro Taniguchi (Kyushu Univ.)
We propose an incremental learning of hand gestures based on subunit sequences. A subunit based DTW method can shorten r... [more] PRMU2013-141 CNR2013-49
pp.97-98
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
15:45
Kyoto   Hybrid Transfer Learning for Efficient Learning in Object Detection
Masamitsu Tsuchiya, Yuji Yamauchi (Chubu Univ.), Takayoshi Yamashita (Omron Corp.), Hironobu Fujiyoshi (Chubu Univ.)
In the detection of human from image using statistical learning methods, the labor cost of collecting training samples a... [more] PRMU2012-122 MVE2012-87
pp.329-334
PRMU 2012-10-04
15:10
Chiba   Subunit based Hand Gesture Recognition
Yanrung Wang, Atsushi Shimada (Kyushu Univ.), Takayoshi Yamashita (OMRON), Rin-ichiro Taniguchi (Kyushu Univ.)
We propose a subunit-based Dynamic Time Warping (DTW) approach to hand gesture recognition. Conventional DTW requires th... [more] PRMU2012-58
pp.35-40
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
10:00
Tokyo   [Survey paper] Human Detection Based on Statistical Learning
Yuji Yamauchi (Chubu Univ.), Takayoshi Yamashita (Omron), Hironobu Fujiyoshi (Chubu Univ.)
 [more] PRMU2012-43 IBISML2012-26
pp.113-126
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