Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 09:50 |
Fukuoka |
|
Interpretable active sampling Yuusuke Taguchi, Keisuke Kameyama (Univ. of Tsukuba), Hideitsu Hino (ism) PRMU2018-50 IBISML2018-27 |
(To be available after the conference date) [more] |
PRMU2018-50 IBISML2018-27 pp.97-104 |
SP |
2018-08-27 14:20 |
Kyoto |
Kyoto Univ. |
[Invited Talk]
Product models and semi-supervised word segmentation Daichi Mochihashi (ISM) SP2018-28 |
While deep learning methods have achieved revolutionary success in
speech and audio research, the impact is less signif... [more] |
SP2018-28 p.29 |
EMD, LQE, OPE, CPM, R |
2018-08-23 14:30 |
Hokkaido |
Otaru Camber of Commerce & Industry |
Study on high precision vibration sensing technique using Fabry-Perot interferometer with optical fibers Kaoru Kuribayashi, Yuya Harada, Ryo Nagase (CIT), Satoru Wada (KURAHASHI INDUSTRIES CO.,LTD. SEISMIC INSTRUMENTS GROUP), Akio Kobayashi (TOKYO SOKUSHIN CO.,LTD.) R2018-20 EMD2018-23 CPM2018-23 OPE2018-50 LQE2018-39 |
We constructed the Fabry-Perot interferometer using a polished ferrule endface attached to single-mode fiber facing to a... [more] |
R2018-20 EMD2018-23 CPM2018-23 OPE2018-50 LQE2018-39 pp.15-20 |
EMD, LQE, OPE, CPM, R |
2018-08-23 14:55 |
Hokkaido |
Otaru Camber of Commerce & Industry |
Study on precise measurement of the vibration using Fabry-Perot interferometer with optical fibers Yuya Harada, Kaoru Kuribayashi, Ryo Nagase (CIT), Satoru Wada (KURAHASHI INDUSTRIES CO.,LTD. SEISMIC INSTRUMENTS GROUP), Akio Kobayashi (TOKYO SOKUSIN CO.,LTD.) R2018-21 EMD2018-24 CPM2018-24 OPE2018-51 LQE2018-40 |
[more] |
R2018-21 EMD2018-24 CPM2018-24 OPE2018-51 LQE2018-40 pp.21-24 |
LOIS, IPSJ-DC |
2018-07-03 14:30 |
Hokkaido |
Future University Hakodate |
Promotion of Support to Use of Official Statistics for the Research and Study Motoi Okamoto (ROIS), Satoshi Yamashita (ISM) LOIS2018-8 |
[more] |
LOIS2018-8 pp.13-16 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Variable Order Infinite Hidden Markov Models Kei Uchiumi (Denso ITLab), Daichi Mochihashi (ISM) IBISML2018-5 |
[more] |
IBISML2018-5 pp.31-38 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Current Dipole Localization from EEG with Birth-Death Process Keita Nakamura (Waseda Univ.), Sho Sonoda (RIKEN), Hideitsu Hino (ISM), Masahiro Kawasaki (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.) IBISML2018-10 |
We explore the EEG source localization problem as the estimation of current dipoles. We formulate the relation between c... [more] |
IBISML2018-10 pp.67-74 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 15:50 |
Okinawa |
Okinawa Institute of Science and Technology |
3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] |
IBISML2018-11 pp.75-80 |
IBISML |
2018-03-05 16:35 |
Fukuoka |
Nishijin Plaza, Kyushu University |
Classification of Intra-Week and Intra-Day Walking Patterns and Their Effect on Body-Composition Changes Using A Hierarchical Model Shunichi Nomura (ISM), Michiko Watanabe, Yuko Oguma (Keio Univ.) IBISML2017-95 |
In this study, we extract intra-week and intra-day activity patterns based on hourly step-count data recorded using an a... [more] |
IBISML2017-95 pp.35-40 |
LOIS, ICM |
2018-01-18 13:40 |
Kumamoto |
Sojo University |
[Invited Talk]
Tatsuro Suga (Nagasaki Pref. Government) ICM2017-39 LOIS2017-55 |
[more] |
ICM2017-39 LOIS2017-55 pp.37-42 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
Bayesian nonparametric model for uncountable factor analysis Masahiro Nakano (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Kunio Kashino (NTT) IBISML2017-59 |
[more] |
IBISML2017-59 pp.185-192 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
Feature Extraction Using Empirical Mode Decomposition for Tire Sensing Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) IBISML2017-78 |
This paper describes a novel feature-extraction method for classifying road conditions by using acceleration signals tha... [more] |
IBISML2017-78 pp.315-320 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
IBISML2017-85 |
We consider binary classification problems using local features of objects. One of motivating applications is time-serie... [more] |
IBISML2017-85 pp.361-368 |
HCS |
2017-01-27 15:40 |
Fukuoka |
Namiki Square |
Cognitive development of children about robot's behavior before and after entering school Yuto Imamura, Kazunori Terada (Gifu Univ.), Hideyuki Takahashi (Osaka Univ.), Irini Giannopulu (IHU-A-ICM & Marie Curie Univ.) HCS2016-70 |
Humans use two distinct cognitive strategies separately to understand and predict agents' behavior. One is mind-reading,... [more] |
HCS2016-70 pp.65-70 |
SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 11:45 |
Tokyo |
NTT Musashino R&D |
Study on i-vector based speaker verification using rank for short utterances Misaki Tsujikawa (Panasonic/Sokendai), Tsuyoki Nishikawa (Panasonic), Tomoko Matsui (ISM) SP2016-53 |
Generally, short utterance test data seriously degrades the accuracy of speaker verification. However, in many voice-ope... [more] |
SP2016-53 pp.23-26 |
IT |
2016-12-13 14:05 |
Gifu |
Takayama Green Hotel |
[Invited Talk]
Statistical Natural Language Processing and Information Theory Daichi Mochihashi (ISM) IT2016-42 |
[more] |
IT2016-42 pp.1-7 |
SWIM |
2016-12-03 14:15 |
Tokyo |
Tokyo polytechnic Univ. |
Process Improvement Method by Non-Model Approach Akihiro Hayashi (ISM) SWIM2016-13 |
Recently, Model Approach based Process Improvement method has been discussing to improve QCD of
System Development Proj... [more] |
SWIM2016-13 pp.11-18 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Exhaustive search for sparse variable selection in linear regression Yasuhiko Igarashi, Hikaru Takenaka, Nakanishi-Ohno Yoshinori (UTokyo), Makoto Uemura (Hiroshima Univ.), Shiro Ikeda (ISM), Masato Okada (UTokyo) IBISML2016-90 |
We proposed the $K$-sparse
Exhaustive-Search (ES-$K$) method,
in which, assuming the optimum combination of
explan... [more] |
IBISML2016-90 pp.313-320 |
AP, MW (Joint) |
2016-09-16 09:00 |
Ibaraki |
AIST |
Physical properties and electromagnetic replying of a carbon fiber to the 2.45 GHz band Jun-ichi Sugiyama (AIST), Maki Morizumi (ISMA), Hiroaki Zushi (Univ. Tokyo) MW2016-82 |
When the cylindrical cavity resonator is used for the perturbation method, loading dielectrics such as the deionized wat... [more] |
MW2016-82 pp.47-52 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-05 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Non-linear Embedded Feature Extraction Method using Comb-shaped Neural Network Akihito Sudo (UT), Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito (ISM), Takahiro Yabe, Yoshihide Sekimoto (UT) IBISML2016-1 |
Feature selection methods can be divided into three categories; wrapper methods, filter methods, and embedded methods. E... [more] |
IBISML2016-1 pp.127-131 |