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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.) BioX2016-68 PRMU2016-231		 (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.) PRMU2016-118		  [more] PRMU2016-118
pp.25-26
PRMU 2016-12-16
12:45		 Tottori  
Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu univ.) PRMU2016-121		  [more] PRMU2016-121
pp.37-46
PRMU 2016-12-16
13:15		 Tottori   PRMU2016-122 (To be available after the conference date) [more] PRMU2016-122
pp.47-52
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.) BioX2015-73 PRMU2015-196		 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.) PRMU2015-149 CNR2015-50		 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.) BioX2014-73 PRMU2014-193		 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.) PRMU2014-127 CNR2014-42		 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.) PRMU2014-27		  [more] PRMU2014-27
pp.31-36
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.) PRMU2012-122 MVE2012-87		 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, 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.) PRMU2012-43 IBISML2012-26		  [more] PRMU2012-43 IBISML2012-26
pp.113-126
PRMU, SP 2012-02-09
16:30		 Miyagi   [Poster Presentation] Improving Random Forests by Introducing of Distribution Between
Yohei Mishina, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) PRMU2011-210 SP2011-125		 (To be available after the conference date) [more] PRMU2011-210 SP2011-125
pp.121-122
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
17:00		 Fukuoka Fukuoka Univ. Improvement in Human Detection by Generation Addition Training of Human Silhouette
Naoya Kouketsu, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) PRMU2010-70 IBISML2010-42		 An object detection method that involves additional learning with a training sample generated by a 3-D human model is pr... [more] PRMU2010-70 IBISML2010-42
pp.99-104
 Results 1 - 13 of 13  /   
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