|
|
All Technical Committee Conferences (Searched in: Recent 10 Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE |
2024-06-05 13:30 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Kanagawa, Online) (Primary: On-site, Secondary: Online) |
PolSAR RFI detection using degree of polarization Yu Hashimoto, Akira Hirose, Ryo Natsuaki (UTokyo) SANE2024-9 |
In the field of microwave remote sensing, Radio Frequency Interference (RFI) caused by signals from other radars, communi... [more] |
SANE2024-9 pp.43-48 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 13:45 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
CLIP-based Zero-shot In-Distribution Detection Atsuyuki Miyai, Qing Yu (UTokyo), Go Irie (TUS), Kiyoharu Aizawa (UTokyo) ITS2023-53 IE2023-42 |
Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for con... [more] |
ITS2023-53 IE2023-42 pp.40-45 |
NS |
2023-05-12 11:15 |
Tokyo |
Shinjuku Campus, Kogakuin University + Online (Tokyo, Online) (Primary: On-site, Secondary: Online) |
A Study on the Performance of KVS Supported by Application Switch with Lexical Analyzer Satoshi Ito (Kogakuin Univ.), Akihiro Nakao (Univ. of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-18 |
[more] |
NS2023-18 pp.43-48 |
HWS, VLD [detail] |
2021-03-03 10:25 |
Online |
Online (Online) |
Evaluation on Approximate Multiplier for CNN Calculation Yuechuan Zhang, Masahiro Fujita, Takashi Matsumoto (UTokyo) VLD2020-68 HWS2020-43 |
Improving the accuracy of a convolutional neural network (CNN) typically requires larger hardware with more energy consu... [more] |
VLD2020-68 HWS2020-43 pp.7-12 |
TL |
2016-12-16 15:15 |
Tokyo |
Room 303/304/305, Building #8, Waseda University (Tokyo) |
[Invited Talk]
Toward "Expectation Intelligence"
-- Inspired by Viewpoint of Japanese Expressions -- Hideyuki Nakashima (Tokyo Univ.) TL2016-38 |
The development of Deep Learning methods enabled us to solve several unattacked problems. However, every machine learni... [more] |
TL2016-38 pp.9-13 |
|
|
|
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]
|