|
|
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 # |
PRMU, SP, WIT, ASJ-H |
2016-06-13 14:30 |
Tokyo |
|
A Method for Adding Classification Classes in Random Forests Ryota Ozaki, Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox) PRMU2016-42 SP2016-8 WIT2016-8 |
In estimating classes using Random Forests, it is necessary to re-create decision trees with the data of all classes whe... [more] |
PRMU2016-42 SP2016-8 WIT2016-8 pp.41-45 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 10:30 |
Tokyo |
|
Nonparametric Bayesian Estimation for Automatic Image Annotation Using Gaussian Mixture Model Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The universisty of Tokyo) PRMU2012-40 IBISML2012-23 |
Automatic image annotation (AIA) is a process to automatically assign metadata to a digital image in the form of caption... [more] |
PRMU2012-40 IBISML2012-23 pp.93-98 |
PRMU, FM |
2011-12-16 16:00 |
Shizuoka |
Hamamatsu Campus, Shizuoka Univ. |
Image Annotation Using Adapted Gaussian Mixture Model Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The Univ. of Tokyo) PRMU2011-144 |
In the present study, we focus on learning based automatic image annotation method using Gaussian mixture model (GMM) as... [more] |
PRMU2011-144 pp.113-118 |
PRMU |
2011-02-17 10:30 |
Saitama |
|
Automatic Image Annotation by Variational Random Forests Motofumi Fukui, Noriji Kato, Qi Wenyuan (Fuji Xerox) PRMU2010-209 |
Recently automatic image annotation (AIA) receives a lot of attention in the fields of information retrieval, and many i... [more] |
PRMU2010-209 pp.7-12 |
PRMU |
2005-10-28 09:30 |
Miyagi |
Tohoku Univ. |
Gender Recognition using multiple classifiers trained with sets of clustered features Takahiko Kuwabara, Hitoshi Ikeda, Noriji Kato, Hirotsugu Kashimura (Fuji Xerox) |
Recognition of person's attributes (sex, age, and race, etc.) from the person's face image using machine learning techni... [more] |
PRMU2005-93 pp.1-6 |
|
|
|
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]
|