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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2020-09-02 10:00 |
Online | Online | A method for clarifying differences between feature distributions of various solutions about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU)  PRMU2020-8 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data an... [more] |
PRMU2020-8 pp.1-6 |
| PRMU, IPSJ-CVIM | 2020-05-14 13:30 |
Online | Online | Human Action Recognition with Two-stream 3D BagNet Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2020-3 |
We propose the Two-stream 3D BagNet for the human action recognition task. The proposed architecture is inspired by the ... [more] | PRMU2020-3 pp.13-17 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Comparison Study of Neural Sign Language Translation Methods with Spatio-Temporal Features Kodai Watanabe, Wataru Kameyama (Waseda Univ.) IMQ2019-68 IE2019-150 MVE2019-89 |
In Neural Sign Language Translation, a model based on 2DCNN (2 Dimensional Convolutional Neural Network) called AlexNet ... [more] | IMQ2019-68 IE2019-150 MVE2019-89 pp.273-278 |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
High-precision modeling of distortion stomp box by deep learning using spectral features Kento Yoshimoto, Daichi Kitahara, Akira Hirabayashi (Ritsumeikan Univ.) EA2019-124 SIP2019-126 SP2019-73 |
We propose a method for modeling distortion stomp box with high accuracy using a deep neural network, WaveNet. The conve... [more] | EA2019-124 SIP2019-126 SP2019-73 pp.135-140 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Initial analysis of oral reading skills obtained from large scale subjective evaluation Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) EA2019-135 SIP2019-137 SP2019-84 |
Speech of professional newscasters easily suggest us his/her occupation, that is newscaster. So far, we have analyzed pr... [more] | EA2019-135 SIP2019-137 SP2019-84 pp.195-200 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Automatic estimation of prosodic control made in English utterances using DNN-based acoustic models trained with prosodic features and labels Yang Shen, Shintarou Ando, Nobuaki Minematsu, Daisuke Saito (UTokyo), Satoshi Kobashikawa (NTT) EA2019-136 SIP2019-138 SP2019-85 |
This paper investigate how to utilize DNN acoustic models trained with prosodic features and labels to detect prosodic e... [more] | EA2019-136 SIP2019-138 SP2019-85 pp.201-206 |
| HCS | 2020-01-26 11:40 |
Oita | Room407, J:COM HorutoHall OITA (Oita) | Modeling for Infant Vocabulary Acquisition System using Deep Reinforcement Learning Masaki Taguchi, Yasuhiro Minami (UEC) HCS2019-73 |
We propose an infant vocabulary acquisition model that identifies psychological infant vocabulary development findings (... [more] | HCS2019-73 pp.111-116 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Prioritized Transmission of Mobile IoT Data Using Machine Learning Models Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.) |
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more] | |
| RISING (2nd) |
2019-11-26 14:10 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Invited Lecture]
Reliable and Low-Energy Wireless Body Area Network by Machine Learning
-- Transmission Power Control based on Human Motion Classification using Features Automatically Extracted From Signal Strength -- Shintaro Sano, Takahiro Aoyagi (Tokyo Tech) |
In wireless body area networks (WBANs), both high reliability and low power consumption are required. Our research group... [more] | |
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) |
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more] | |
| KBSE, SC | 2019-11-09 11:30 |
Nagano | Shinshu University | Common Feature Elements of Business Model Notations Using Interrogatives Shuichiro Yamamoto (Nagoya Univ.) KBSE2019-35 SC2019-32 |
In this paper, focusing on the classification of business model questions, we propose a unified method for comparing var... [more] | KBSE2019-35 SC2019-32 pp.71-76 |
| SDM | 2019-11-07 15:20 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Compact Modeling Perspective
-- Bridge to Industrial Applications -- Mitiko Miura-Mattausch (HU) SDM2019-72 |
This paper gives an overview about compact-model development history, which is undertaking the evolution as a bridge bet... [more] | SDM2019-72 pp.17-20 |
| MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A study of similar network generative model using machine learning Shohei Nakazawa, Kohei Watabe, Kenji Nakagawa (Nagaoka Univ. of Tech.) |
A real topology data are required when we simulate assuming an environment close to a real situation. The real data of t... [more] | |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 14:25 |
Okayama | Active learning based on self-supervised feature learning Shunsuke Tsukatani, Kazuhiko Murasaki, Shingo Andou, jun Shimamura (NTT) PRMU2019-28 MI2019-47 |
In this paper, we propose an active learning algorithm based on self-supervised feature learning. When the domain of the... [more] | PRMU2019-28 MI2019-47 pp.115-119 |
|
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-10 13:50 |
Osaka | I-Site Nanba（Osaka） | [Encouragement Talk]
Utility-function modeling scheme for real-time prediction of spatial information Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) SeMI2019-21 |
Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] | SeMI2019-21 pp.19-22 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima | Kagoshima University | Study on Head Region Extraction Methods for Human Images Shu Iwata, Tatsuya Yamazaki (Niigata Univ.) IMQ2018-28 IE2018-112 MVE2018-59 |
One of our research objects is to develop an application that provides questions using human head images and to provide ... [more] | IMQ2018-28 IE2018-112 MVE2018-59 pp.31-35 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo) EA2018-155 SIP2018-161 SP2018-117 |
Primates and mammalian distinguish overlapped speech sounds from one another by recognizing a single sound source whethe... [more] | EA2018-155 SIP2018-161 SP2018-117 pp.329-333 |
| DC | 2019-02-27 11:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | An Efficient Approach to Recycled FPGA Detection Using WID Variation Modeling Foisal Ahmed, Michihiro Shintani, Michiko Inoue (NAIST) DC2018-77 |
Recycled field programmable gate arrays (FPGAs) make a significant threat to mission critical systems due to their perfo... [more] | DC2018-77 pp.37-42 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2019-01-17 09:45 |
Kyoto | PRMU2018-97 MVE2018-39 |
In our previous research on a pedestrian navigation system based on the pre-recorded video, reference images extracted f... [more] | PRMU2018-97 MVE2018-39 pp.5-10 |
|
| MoNA | 2019-01-17 09:40 |
Kyoto | T. B. D. | Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) MoNA2018-66 |
In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It is expected th... [more] |
MoNA2018-66 pp.51-55 |
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