|
|
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 # |
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Detection of Inattentive State Based on Change of Driving Behavior
-- Study on Driving Behavior Model using GGM -- Konomi Takeyasu, Momoyo Ito (Tokushima Univ.), Kazuhito Sato (Akita Pref. Univ.), Shin-ichi Ito, Minoru Fukumi (Tokushima Univ.) |
In recent years traffic fatality accidents caused by accidental driving are increasing. If it is possible to detect an i... [more] |
|
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields Yuya Takashina, Masato Inoue (Waseda Univ.) IBISML2017-88 |
Learning the structure of graphical models is important in many fields, e.g., multivariate analysis and anomaly detectio... [more] |
IBISML2017-88 pp.383-388 |
MI |
2013-07-18 10:35 |
Miyagi |
|
Comparison of sparse non-directional graphical models on anatomical landmark distances by the Smoothly Clipped Absolute Deviation (SCAD) and the Graphical Lasso Shouhei Hanaoka (Univ. of Tokyo Hospital), Yoshitaka Masutani (Univ. of Tokyo Hospital/Univ. of Tokyo), Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo Hospital), Kuni Ohtomo (Univ. of Tokyo Hospital/Univ. of Tokyo) MI2013-20 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a multi... [more] |
MI2013-20 pp.7-12 |
MI |
2013-01-24 10:30 |
Okinawa |
Bunka Tenbusu Kan |
Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso
-- Feasibility study for application to automatic landmark detection system -- Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2012-64 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a non-s... [more] |
MI2012-64 pp.13-18 |
MBE, NC (Joint) |
2012-11-17 14:55 |
Miyagi |
Tohoku University |
Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] |
NC2012-71 pp.57-62 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Structure Learning for Anomaly Localization Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2012-36 |
In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regulariz... [more] |
IBISML2012-36 pp.17-22 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Learning a Graphical Structure with Clusters Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2011-45 |
In this paper, we propose an estimation technique of a graphical model with some unknown clusters. We introduce a new re... [more] |
IBISML2011-45 pp.19-24 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Gaussian FoE model with correlations among color components Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IBISML2011-58 |
Color images consist of some color components such as RGB, YCbCr. They have been often treated independently in usual im... [more] |
IBISML2011-58 pp.105-111 |
IBISML |
2011-03-29 12:00 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Learning an Invariant Substructure of Multiple Graphical Gaussian Models Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2010-129 |
Dependency structure among variables is closely tied to an underlying data generating process. Therefore, learning a dep... [more] |
IBISML2010-129 pp.177-181 |
NC |
2009-01-20 14:40 |
Hokkaido |
Hokkaido Univ. |
Which model can properly describe dynamics and smoothness of firing rate? Ken Takiyama (The Univ. of Tokyo), Kentaro Katahira, Masato Okada (The Univ. of Tokyo/RIKEN) NC2008-98 |
We construct the algorithm using belief propagation(BP), which algorithm simultaneously estimates
firing rate and calcu... [more] |
NC2008-98 pp.89-94 |
|
|
|
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]
|