IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 19 of 19  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-06
16:25
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Domain Generalization for Mitosis Detection
Yusuke Kurose (U-Tokyo), Yuko Hiroshima, Hiroshi Nanjo (Akita-U), Tatsuya Harada (U-Tokyo) MI2022-93
In pathological image analysis, it is known that the existence of inter-institutional differences (domain shift) causes ... [more] MI2022-93
pp.100-104
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 2015-10-08
13:05
Chiba   [Special Talk] Recent Trend in Image Recognition
Tatsuya Harada (UTokyo) PRMU2015-92
 [more] PRMU2015-92
pp.1-20
PRMU 2014-10-09
15:00
Chiba   Learning Similarities for Rigid and Non-Rigid Object Detection
Asako Kanezaki (Univ. of Tokyo), Emanuele Rodola, Daniel Cremers (Technische Univ. Munchen), Tatsuya Harada (Univ. of Tokyo) PRMU2014-56
We propose an optimization method for estimating parameters in graph-theoretical formulations of the matching problem fo... [more] PRMU2014-56
pp.13-18
IBISML 2013-11-13
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Probabilistic Partial Canonical Correlation Analysis
Yusuke Mukuta, Tatsuya Harada (Univ. of Tokyo) IBISML2013-58
Partial Canonical Correlation Analysis (Partial CCA) is a statistical method to estimate a pair of linear projections on... [more] IBISML2013-58
pp.169-176
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
11:00
Tottori   Canonical Contextual Anomaly Detection for Multi-modal Data
Chie Kamada, Tatsuya Harada (Univ. of Tokyo) PRMU2013-48 IBISML2013-28
In prior studies of anomaly detection, relationships between modalities have not been considered much. In this paper, we... [more] PRMU2013-48 IBISML2013-28
pp.167-172
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
16:15
Tottori   Image annotation from wild using semantic hierarchies
Masatoshi Hidaka, Naoyuki Gunji, Tatsuya Harada (Univ. of Tokyo) PRMU2013-52 IBISML2013-32
For many-class image annotation system, automatic construction of large-scale dataset is needed. Wild web is regarded as... [more] PRMU2013-52 IBISML2013-32
pp.201-206
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 2011-02-17
17:10
Saitama   [Special Talk] Large-Scale Generic Image Recognition and Image Representation
Tatsuya Harada (The Univ. of Tokyo) PRMU2010-218
In recent years, it is becoming possible to obtain a large amount of image and additional information (e.g., tags) from ... [more] PRMU2010-218
pp.61-74
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
PRMU 2009-11-27
10:00
Ishikawa Ishikawa Industrial Promotion Center Multiple Weighted Region Features for Fast Object Recognition
Tatsuya Harada (The Univ. of Tokyo/JST), Yasuo Kuniyoshi (The Univ. of Tokyo) PRMU2009-108
 [more] PRMU2009-108
pp.109-114
PRMU 2009-11-27
13:30
Ishikawa Ishikawa Industrial Promotion Center Application of High-speed 3D Object Recognition in the Real World Using Integral Features and Linear Subspace Method
Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi (Univ. of Tokyo.) PRMU2009-123
As a previous work, we proposed a method of high-speed 3D object recognition using linear subspace method and our 3D fea... [more] PRMU2009-123
pp.207-212
PRMU 2007-12-14
11:00
Hyogo Kobe Univ. Ultra high speed image annotation/retrieval method by learning the conceptual relationship between images and labels
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.), Nobuyuki Otsu (AIST) PRMU2007-147
Content-based image recognition and retrieval are challenging
problems which have wide application.
In this paper, we ... [more]
PRMU2007-147
pp.65-70
PRMU, HIP 2006-01-20
12:15
Osaka Osaka Univ. Learning Environment Responding to User's Behavior
Mehrab Hosseinbor, Taketoshi Mori, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.)
 [more] PRMU2005-158 HIP2005-128
pp.53-58
PRMU, HIP 2006-01-20
15:40
Osaka Osaka Univ. Development of Individual Identification System utilizing Time Series of Floor Pressure Distribution
Toshiaki Yamanishi, Taketoshi Mori, Hiroshi Morishita, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.)
This paper proposes an individual identification system utilizing the change of foot-floor contact area shape during wal... [more] PRMU2005-167 HIP2005-137
pp.105-110
PRMU 2004-11-18
10:30
Fukui   unknown
Masamichi Shimosaka, Taketoshi Mori, Tatsuya Harada, Tomomasa Sato (Tokyo Univ.)
A novel kernel computation algorithm between time-series human motion data that can be used for online action recognitio... [more] PRMU2004-95
pp.13-18
 Results 1 - 19 of 19  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan