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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 187  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2021-12-16
Online Online Real-world Anomaly Detection by Integrating Long-Term and Short-Term Classifications
Yudai Watanabe, Makoto Okabe (Shizuoka Univ.), Yasunori Harada, Yasuhiko Naoji (Chubu Electric Power Co., Inc.)
(To be available after the conference date) [more]
PRMU 2021-12-16
Online Online Anomaly Detection using PatchCore with Self-attention module
Yuki Takena (Shizuoka Univ.), Yoshiki Nota, Rinpei Mochizuki (Meidensya Corp.), Itaru Matsumura (Railway Technical Research Inst.), Gosuke Ohashi (Shizuoka Univ.)
(To be available after the conference date) [more]
PRMU 2021-12-16
Online Online Unsupervised Logo Detection Using Adversarial Learning from Synthetic to Real Images
Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xiang Ruan (tiwaki), Yen-Wei Chen (Ritsumeikan Univ.)
PRMU 2021-12-16
Online Online Verification of Cyclical Annealing for Object-Oriented Representation Learning
Atsushi Kobayashi (Waseda Univ.), Hideki Tsunashima (Waseda Univ./AIST), Takehiko Ohkawa (The Univ. of Tokyo), Hiroaki Aizawa (Hiroshima Univ.), Qiu Yue, Hirokatsu Kataoka (AIST), Shigeo Morishima (Waseda Univ.)
(To be available after the conference date) [more]
Online Online [Poster Presentation] Machine Learning techniques for unitary design classification:A comparative study
Yaswitha Gujju, Bo Yang, Dr. Yuko Kuroki, Dr. Hiroshi Imai (UTokyo)
The recent use of correlator functions to identify the degree of pseudorandomness in a qubit system opens up immense pos... [more]
CS 2021-10-15
Online Online User Data Selection using CNN Feature Extractor for Fingerprint Localization
Yohei Konishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai (Univ of Hyogo) CS2021-57
This paper scopes a method that applies CNN to Fingerprint indoor localization. AP information are used to train the CNN... [more] CS2021-57
MVE 2021-09-17
Online Online Improving Mask Generation Accuracy Exploiting Optical Flow in Weakly Supervised Instance Segmentation
Jun Ikeda, Junichiro Mori (UTokyo) MVE2021-15
Weakly supervised instance segmentation is important because it reduces the huge pixel-level annotation cost required to... [more] MVE2021-15
PRMU 2021-08-26
Online Online Unsupervised non-rigid alignment for multiple noisy images
Takanori Asanomi, Kazuya Nishimura, Heon Song, Junya Hayashida (Kyushu Univ.), Hiroyuki Sekiguchi (Kyoto Univ.), Takayuki Yagi (Luxonus), Imari Sato (NII), Ryoma Bise (Kyushu Univ.) PRMU2021-7
We propose a deep non-rigid alignment network that can simultaneously perform non-rigid alignment and noise decompositio... [more] PRMU2021-7
SIP 2021-08-23
Online Online A study on transfer learning in unsupervised anomalous sound detection based on deep metric learning considering variance of normal data
Hiroki Narita, Akira Tamamori (AIT) SIP2021-28
In recent years, anomaly detection research in the field of computer vision has focused on methods based on transfer lea... [more] SIP2021-28
EA, ASJ-H 2021-07-16
Online Online Sound event detection based on complementary-label learning
Keigo Wakayama, Shoichiro Saito (NTT) EA2021-17
Sound Event Detection (SED) is an important research field that can be applied to smart cities, and etc. SED estimate th... [more] EA2021-17
CS 2021-07-16
Online Online Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks
Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] CS2021-29
Online Online A Study on Automatic Labeling MethodUsing Semi-Supervised Learning for Wireless LAN Sensing
Naoki Osumi, Kosuke Tsuji, Ryotaro Isshiki, Yuhei Nagao, Leonardo Lanante, Masayuki Kurosaki, Hiroshi Ochi (Kyutech) RCS2021-93
In recent years, research on CSI (Channel State Information) based wireless sensing using wireless LAN has been gatherin... [more] RCS2021-93
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-29
Online Online Investigation of pretext task for a classification model of human interaction motion
Kenshiro Ata, Yusuke Nishimura (Osaka Univ.), Yuya Okadome, Yutaka Nakamura (RIKEN GRP), Hiroshi Ishiguro (Osaka Univ.) NC2021-14 IBISML2021-14
The technology of recognizing human actions has been used not only for recognizing human activities but also for control... [more] NC2021-14 IBISML2021-14
IMQ 2021-05-28
Online Online Self-supervised representation learning with grayscale images
Yuichiro Sumi, Takuto Kojima (Nagoya Univ.), Kentaro Kutsukake (RIKEN), Tetsuya Matsumoto, Hiroaki Kudo (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Noritaka Usami (Nagoya Univ.) IMQ2021-1
Multicrystalline silicon solar cells, which are most commonly used in residential photovoltaic systems, include regions ... [more] IMQ2021-1
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2021-03-26
Online Online Unsupervised Recycled FPGA Detection Using Direct Density Ratio Estimation Based on Self-referencing
Yuya Isaka (KGU), Michihiro Shintani (NAIST), Foisal Ahmed (PU), Michiko Inoue (NAIST) CPSY2020-60 DC2020-90
It is well known that the performance of field-programmable gate-array (FPGA) degrades over time due to their usage. Sev... [more] CPSY2020-60 DC2020-90
MI 2021-03-17
Online Online Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] MI2020-91
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
Online Online [Invited Talk] *
Masahito Togami (LINE) EA2020-64 SIP2020-95 SP2020-29
Recently, deep learning based speech source separation has been evolved rapidly. A neural network (NN) is usually learne... [more] EA2020-64 SIP2020-95 SP2020-29
Online Online A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model
Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51
For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables c... [more] NC2020-51
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
Online Online Anomalous Sound Detection Using a Binary Classification Model Considering Class Centroids
Ibuki Kuroyanagi, Tomiki Hayashi, Kazuya Takeda, Tomoki Toda (Nagoya Univ) EA2020-79 SIP2020-110 SP2020-44
In an anomalous sound detection system, it is necessary to detect unknown anomalous sounds using only normal sound data.... [more] EA2020-79 SIP2020-110 SP2020-44
IBISML 2021-03-02
Online Online Kernel tensor decomposition based unsupervised feature extraction -- Applications to bioinformatics --
Y-h. Taguchi (Chuo Univ.) IBISML2020-36
A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] IBISML2020-36
 Results 1 - 20 of 187  /  [Next]  
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