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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2020-05-15 09:50 |
Online | Online | Online handwriting recognition based on LSTM-Autoencoder Junji Sakurai, Jun Rokui (Univ of Shizuoka)  PRMU2020-6 |
Correct data and incorrect data are required for online handwriting recognition. However, It is difficult to prepare eno... [more] | PRMU2020-6 pp.29-34 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Predicting the online video advertising effectiveness with multimodal deep learning Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62 |
In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] | IMQ2019-41 IE2019-123 MVE2019-62 pp.133-136 |
| COMP | 2020-03-01 16:50 |
Tokyo | The University of Electro-Communications (Cancelled but technical report was issued) |
Online Learning for A Repeated Markovian Game with 2 States Shangtong Wang, Shuji Kijima (Kyushu Univ.) COMP2019-55 |
We consider a new problem of learning in repeated games. In our model, the players play on one of the several game matri... [more] | COMP2019-55 pp.65-68 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 13:30 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Note on Estimation of rock compressive strength index from drilling data based on online learning Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
It is necessary to evaluate the ground condition of the rock mass for safe and efficient tunnel construction. Currently,... [more] | |
| CS, OCS (Joint) |
2020-01-16 15:20 |
Oita | Beppu Housensou Hotel (Oita Pref.) | [Special Invited Talk]
Applications of Machine Learning to Nonlinear Compensation and Nonlinear Transmission Technologies in Optical Fiber Communication Ken Mishina, Daisuke Hisano, Akihiro Maruta (Osaka Univ.) CS2019-91 |
Machine learning (ML) is expected to be a promising technology to promote innovations in optical communications. A numbe... [more] | CS2019-91 pp.17-22 |
| RCS | 2019-10-25 16:05 |
Kanagawa | Yokosuka Research Park | [Encouragement Talk]
Nonlinear Feature Extraction by epsilon -Vanishing Polynomial Networks Learning and Underdetermined BSS Lu Wang, Tomoaki Ohtsuki (Keio Univ.) RCS2019-202 |
Similar to the deep architectures, a novel multi-layer architecture is used to extend the linear blind source separation... [more] | RCS2019-202 pp.133-138 |
| NLC, IPSJ-DC | 2019-09-27 15:40 |
Tokyo | Future Corporation | NLC2019-12 |
(To be available after the conference date) [more] | NLC2019-12 pp.21-25 |
| ET | 2019-05-18 14:25 |
Toyama | University of Toyama | Changes of note-taking styles and their characteristics of participants in a fully online course Minoru Nakayama (Tokyo Tech.), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2019-8 |
Student's characteristics were surveyed during a fully online course, then some preferred attributes of participants f... [more] |
ET2019-8 pp.43-48 |
| HIP | 2018-12-26 14:30 |
Miyagi | RIEC, Tohoku University | The relation between learner's gaze information and understanding in online learning Masashi Katsumata, Toshiyasu Kato (NIT) HIP2018-73 |
ICT-based learning environments are being actively introduced for classroom learning or individual online learning by th... [more] | HIP2018-73 pp.5-8 |
| ET | 2018-11-10 10:35 |
Tokyo | Tokyo Polytechnic University | Influence of student's characteristics on activity of online discussion during a blended learning Minoru Nakayama (Tokyo Tech.), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2018-54 |
Contribution of online discussions for the disaster prevention and critical thinking attitude was analysed using a tex... [more] |
ET2018-54 pp.7-12 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.) IBISML2018-83 |
Reservoir Computing (RC) has recently attracted much attention as brain-like information processing for high-speed learn... [more] | IBISML2018-83 pp.293-299 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 14:45 |
Okinawa | Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118 |
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] | EA2017-135 SIP2017-144 SP2017-118 pp.185-190 |
|
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Good Arm Identification via Bandit Feedback Hideaki Kano, Junya Honda (UTokyo/RIKEN), Kentaro Sakamaki (UTokyo), Kentaro Matsuura (Johnson & Johnson), Atsuyoshi Nakamura (HU), Masashi Sugiyama (RIKEN/UTokyo) IBISML2017-82 |
In this paper, we consider and discuss a new stochastic multi-armed bandit problem called {em good arm identification} (... [more] | IBISML2017-82 pp.339-346 |
| ET | 2017-10-21 11:10 |
Fukuoka | Kyusyu Institute of Technology (Tobata Campus) | Relationship between student's characteristics and their reflections through a fully online course Minoru Nakayama (Tokyo Tech.), Kouichi Mutsuura, Hiroh Yamamoto (Shinshu Univ.) ET2017-43 |
Participant's emotional factors for a fully online course were measured twice during course using some survey metrics ... [more] |
ET2017-43 pp.15-20 |
| SIP, CAS, MSS, VLD | 2017-06-20 11:40 |
Niigata | Niigata University, Ikarashi Campus | Matrix Completion Algorithm based on Locally Linear Embedding and its Application to Signal Restoration of Nonlinear Systems Ryohei Sasaki (TUS), Katsumi Konishi (Kogakuin Univ.), Tomohiro Takahashi, Toshihiro Furukawa (TUS) CAS2017-18 VLD2017-21 SIP2017-42 MSS2017-18 |
In this paper, we deal with matrix completion problem of non-low rank matrix. In the problem of recovering the output si... [more] | CAS2017-18 VLD2017-21 SIP2017-42 MSS2017-18 pp.93-97 |
| R | 2017-05-26 15:30 |
Okayama | Purity Makibi | Design and implementation of large scale online testing system targeted at undergraduate students Hideo Hirose (Hiroshima Inst. of Tech.) R2017-7 |
We are now accepting a variety of students in many universities. To educate every students, we have provided online tes... [more] |
R2017-7 pp.37-42 |
| IBISML | 2017-03-07 11:30 |
Tokyo | Tokyo Institute of Technology | A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions Atsushi Nitanda (Tokyo Tech./NTTDATA MSI), Taiji Suzuki (Tokyo Tech./JST/RIKEN) IBISML2016-108 |
We consider a learning method for the majority vote classifier by probability measure on continuously parametrized space... [more] | IBISML2016-108 pp.63-69 |
| SP, SIP, EA | 2017-03-01 15:55 |
Okinawa | Okinawa Industry Support Center | [Invited Talk]
Multikernel Adaptive Filtering: Signal Processing and Machine Learning Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108 |
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] | EA2016-113 SIP2016-168 SP2016-108 pp.177-182 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Online heterogeneous mixture machine learning Tetsuya Ikehara, Satoshi Yamane (Kanazawa Univ.) IBISML2016-54 |
In recent years, utilization of big data has attracted the attention, and many techniques about data analysis have been ... [more] | IBISML2016-54 pp.59-64 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Statistical Mechanical Analysis of Fast Online Learning with Weight Normalization Yuki Yoshida, Ryo Karakida, Masato Okada (UTokyo), Shun-ichi Amari (RIKEN) IBISML2016-60 |
Weight normalization (WN), a newly developed optimization algorithm for neural networks by Salimans & Kingma(2016), fact... [more] | IBISML2016-60 pp.101-108 |
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