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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 113 [Previous]  /  [Next]  
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
 Results 41 - 60 of 113 [Previous]  /  [Next]  
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