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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
OCS, CS
(Joint)
2022-01-13
14:30
Yamaguchi Conference room 204A・B at KDDI Ishin-hall
(Primary: On-site, Secondary: Online)
Image Compression and Progressive Retransmission Scheme on Edge Computing System for Image Data Reduction
Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura (OSX), Takayuki Nishio (Tokyo Tech.), Yoshitaka Ushiku (OSX), Kazuki Maruta (Tokyo Tech.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) CS2021-69
Edge computing has been getting attention due to reducing the data traffic in the backbone network. On the other hand, t... [more] CS2021-69
pp.7-12
SeMI, IPSJ-MBL, IPSJ-UBI [detail] 2021-03-02
10:00
Online Online Traffic Reduction Method on Wireless Edge Computing by Retransmission Control Based on Image Recognition Accuracy
Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura, Yoshitaka Ushiku (OSX), Kazuki Maruta (TIT), Yu Nakayama (TUAT) SeMI2020-62
In this paper, we propose a retransmission control system based on image recognition accuracy as a traffic reduction met... [more] SeMI2020-62
pp.23-28
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
11:00
Tokyo   Alternating Circulant Random Features for Semigroup Kernels
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada (UTokyo) PRMU2017-42 IBISML2017-14
In this paper, we propose novel random features termed ``alternating circulant random features,'' which are comprised of... [more] PRMU2017-42 IBISML2017-14
pp.27-34
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
09:30
Tokyo   PRMU2017-43 IBISML2017-15 (To be available after the conference date) [more] PRMU2017-43 IBISML2017-15
pp.35-42
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 2013-03-14
09:30
Tokyo   Fine-grained classification with various local descriptors and Passive-Aggressive
Naoyuki Gunji, Takayuki Higuchi, Koki Yasumoto, Hiroshi Muraoka, Yoshitaka Ushiku (Univ. of Tokyo), Tatsuya Harada (Univ. of Tokyo/JST), Yasuo Kuniyoshi (Univ. of Tokyo) PRMU2012-184
 [more] PRMU2012-184
pp.25-30
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
09:30
Tokyo   Simultaneous training of multi-class object detectors via large scale image dataset -- introduction of target specific negative classes --
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] PRMU2012-42 IBISML2012-25
pp.105-112
PRMU 2011-02-17
10:00
Saitama   Large Scale Image Classification using Metric based on Correlation between Multiple Image Features and Class Labels
Yoshitaka Ushiku, Yuya Yamashita, Jun Imura, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.) PRMU2010-208
In this paper, we propose a scalable image recognition method for both image classification and image annotation. We fir... [more] PRMU2010-208
pp.1-6
PRMU 2009-11-26
11:10
Ishikawa Ishikawa Industrial Promotion Center Semantics-Based Search from Global Features of Web Images and Texts -- Toward a novel approach to realization of generic image recognition on the Web --
Yoshitaka Ushiku, Hideki Nakayama (Tokyo Univ.), Tatsuya Harada (Tokyo Univ./JST), Yasuo Kuniyoshi (Tokyo Univ.) PRMU2009-100
In these days, methods for generic image recognition are actively researched. Many works use web images as training data... [more] PRMU2009-100
pp.45-50
 Results 1 - 9 of 9  /   
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