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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-24 15:00 |
Hokkaido | Hokkaido Jichiro Kaikan | Tolerance Evaluation Cost Reduction of Deep-Learning-Based Side-Channel Attack Using Signal-to-Noise Ratio of Leakage Traces Tatsuya Sakagami, Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.)  ISEC2023-17 SITE2023-11 BioX2023-20 HWS2023-17 ICSS2023-14 EMM2023-17 |
Side-channel attacks (SCA) have been proposed to decrypt modern cryptography by analyzing the physical behavior of crypt... [more] | ISEC2023-17 SITE2023-11 BioX2023-20 HWS2023-17 ICSS2023-14 EMM2023-17 pp.19-24 |
| RCS | 2022-06-16 14:55 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A study on model parameters for MIMO signal detection using learned AMP Mari Miyoshi, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2022-50 |
Approximate message passing (AMP) is applicable to massive MIMO signal detection and achieves a high detection performan... [more] | RCS2022-50 pp.156-161 |
| RCS | 2021-06-23 09:50 |
Online | Online | A basic study on signal detection using learned approximate message passing Mari Miyoshi, Wakaba Tsujimoto, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-31 |
Approximate message passing (AMP) is applicable to massive MIMO signal detection and achieves a high detection performan... [more] | RCS2021-31 pp.13-18 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 11:35 |
Online | Online | A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] | |
| CQ, CS (Joint) |
2020-06-25 09:30 |
Online | Online | Study on behavior estimation using time correlation with MIMO sensor Etsuko Hoshino, Kentaro Nishimori (Niigata Univ.) CQ2020-1 |
In recent years, the society is aging further. And the number of deaths that are lonely deaths have been increasing year... [more] | CQ2020-1 pp.1-5 |
| AI | 2019-09-13 16:15 |
Kagoshima | A Prediction of Upper Tropospheric Circulations over the Northern Hemisphere Using ConvLSTM Ekasit Phermphoonphiphat (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Masayuki Numao, Ken-ichi Fukui (Osaka Univ.) AI2019-25 |
[more] | AI2019-25 pp.37-41 |
|
| IMQ, HIP | 2019-07-19 15:55 |
Hokkaido | Satellite Campus, Sapporo City University | A Note on Eye Gaze Based User-specific Interest Estimation for Images
-- Performance Improvement Based on Decision Level Fusion -- Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) IMQ2019-4 HIP2019-32 |
This paper presents an estimation method of user-specific interests for images. The proposed method computes projection... [more] |
IMQ2019-4 HIP2019-32 pp.17-20 |
| PRMU, CNR | 2019-03-01 11:40 |
Tokushima | A study on pigs tracking system using object tracking method with learning function Yoshimi Koto, Ryusei Chibu, Hiroki Tamura, Koichi Tanno (Miyazaki Univ.) PRMU2018-129 CNR2018-52 |
In recent years, due to the growing demand of pork, the large scale pig farmers are increasing. From this reason, the bu... [more] | PRMU2018-129 CNR2018-52 pp.83-88 |
|
| SP | 2019-01-27 11:30 |
Ishikawa | Kanazawa-Harmonie | Multimodal Data Augmentation for Visual Speech Recognition using Deep Canonical Correlation Analysis Masaki Shimonishi, Satoshi Tamura, Satoru Hayamizu (Gifu University) SP2018-60 |
This paper proposes ta new data augmentation strategy for deep learning, in which feature vectors in one modality can be... [more] | SP2018-60 pp.41-45 |
| NLP, NC (Joint) |
2019-01-23 15:40 |
Hokkaido | The Centennial Hall, Hokkaido Univ. | Measuring the Convolution Neural Network similarities trained with different dataset using SVCCA Toya Teramoto, Hayaru Shouno (UEC) NC2018-40 |
Deep Convolutional Neural Network (DCNN) is a successful model in the field of computer vision such like image classif... [more] | NC2018-40 pp.11-16 |
| AI | 2018-08-27 10:00 |
Osaka | Climate Forecasting by ConvLSTM on Segmented Region Ekasit Phermphoonphiphat (Osaka Univ.), Tomohiko Tomita (Kumamoto Univ.), Masayuki Numao, Ken-ichi Fukui (Osaka Univ.) AI2018-13 |
Recent years, climate forecasting techniques with machine learning have been developing to get high accuracy result. How... [more] | AI2018-13 pp.1-6 |
|
| BioX, ITE-ME, ITE-IST | 2018-05-24 15:45 |
Ishikawa | Kanazawa Univ. Nishimachi Satelite Plaza | A probabilistic verification method using multi-feature for environment-robust biometrics Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada (FUJITSU LAB.) BioX2018-3 |
This paper reports a probabilistic verification method using multi-feature for environment-robust biometrics. In biometri... [more] | BioX2018-3 pp.21-26 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:30 |
Hokkaido | Hokkaido Univ. | Accuracy Improvement of Preference Estimation for Video Using SFEM-GS Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we present two kinds of canonical correlation analysis methods, supervised fractional-order embedding mul... [more] | |
| NC, NLP (Joint) |
2017-01-26 14:35 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure Akinori Takemoto, Tomoyuki Kimoto (NIT, Oita College) NC2016-49 |
In this study, we analyze stable states of an autocorrelation associative memory model storing memory patterns with nonu... [more] | NC2016-49 pp.7-12 |
| NLP, CAS | 2015-10-05 11:10 |
Hiroshima | Aster Plaza | Learning of Dynamic Binary Neural Networks by Sparsification Ryuji Sato, Toshimichi Saito (HU) CAS2015-23 NLP2015-84 |
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] | CAS2015-23 NLP2015-84 pp.15-20 |
| DE, IPSJ-DBS, IPSJ-IFAT | 2015-08-06 16:20 |
Nara | Todaiji Culture Center | Illegal Movie Detection by Using Comment Distribution Based on Temporal Correlation in NicoNico Douga Hayato Shimizu, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Tokushima Univ) DE2015-19 |
Recently, the video sharing site such as NicoNico Douga or YouTube are used for various uses by individuals and corpor... [more] |
DE2015-19 pp.97-101 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 15:45 |
Okinawa | Okinawa Institute of Science and Technology | Learning of dynamic binary neural networks based on the simple feature quantity Ryuji Sato, Toshimichi Saito (HU) NC2015-9 |
This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The l... [more] | NC2015-9 pp.83-87 |
| NC | 2015-01-29 14:35 |
Fukuoka | Kyushu Institute of Technology | Associative memory and amplitude death of hysteresis neural networks Kei Yamaoka, Toshimichi Saito (HU) NC2014-58 |
This paper studies effects of the amplitude death on the storage function of the hysteresis neural network. Applying... [more] |
NC2014-58 pp.7-10 |
| NLP | 2015-01-26 11:50 |
Oita | Compal Hall | The electroencephalogram related to English rhythm learning Shintaro Yamamoto, Kiyohisa Natsume (KIT) NLP2014-117 |
To develop e-learning system using English rhythm instruction materials (RIM), while the previous study found that theta... [more] | NLP2014-117 pp.25-30 |
| MBE, NC (Joint) |
2014-12-13 13:20 |
Aichi | Nagoya University | Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane Ryuji Sato, Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2014-51 |
This paper studies learning the 2-layer dynamic binary neural network that can generate various binary periodic orbit. ... [more] |
NC2014-51 pp.43-47 |
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