|
|
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 # |
IBISML |
2020-01-09 16:20 |
Tokyo |
ISM |
Evaluation of effective degree of freedom of physical model by learning capacity Yoh-ichi Mototake (ISM), Kenji Nagata (NIMS) IBISML2019-25 |
[more] |
IBISML2019-25 pp.53-54 |
NC, MBE (Joint) |
2019-03-05 15:50 |
Tokyo |
University of Electro Communications |
Quantitative evaluation of discriminability between natural texture images by neural populations in visual cortex using L1-logistic regression Rina Kotani (Osaka Univ.), Hiroko Ichikawa (Tokyo University of Science), Yasuhiko Igarashi (JST/Tokyo Univ.), Yoh-ichi Mototake, Masato Okada (Tokyo Univ.), Hiroshi Tamura (Osaka Univ./CiNet) NC2018-71 |
[more] |
NC2018-71 pp.145-150 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Bayesian Hamiltonian Selection in X-ray Photoelectron Spectroscopy Yoh-ichi Mototake (univ of Tokyo), Masaichiro Mizumaki (JASRI), Ichiro Akai (Kumamoto Univ), Masato Okada (univ of Tokyo) IBISML2018-89 |
(Advance abstract in Japanese is available) [more] |
IBISML2018-89 pp.337-344 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Conservation law presumption from the manifold structure captured by Deep Neural Networks
-- Estimation of conservation law via noether's theorem from symmetry information of manifolds -- You-ichi Mototake (univ of Tokyo) IBISML2018-104 |
[more] |
IBISML2018-104 pp.441-446 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Proposal of λ-scan Method in Spectral Deconvolution Yohachi Mototake (Univ of Tokyo), Yasuhiko Igarashi (NIMS), Hikaru Takenaka (Univ of Tokyo), Kenji Nagata (AIST), Masato Okada (Univ of Tokyo) IBISML2017-80 |
Spectral deconvolution is a method to fit spectral data as the sum of unimodal basis functions and is a useful method in... [more] |
IBISML2017-80 pp.325-332 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Analysis of Multimodal Deep Neural Networks
-- Towards the elucidation of the modality integration mechanism -- Yoh-ichi Mototake, Takashi Ikegami (unit of Tokyo) IBISML2016-97 |
With the rapid development of information technology in recent years,
several machine learning algorithms that integra... [more] |
IBISML2016-97 pp.369-373 |
|
|
|
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]
|