|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
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 |
|
|
|
Copyright and reproduction :
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
|
[Return to Top Page]
[Return to IEICE Web Page]
|