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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 91 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
CCS, NLP 2016-06-13
13:50
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical Distribution of the Price Fluctuations in the Arrowhead Market -- Levy Distribution Reconsidered --
Mieko Tanaka-Yamawaki (ISM) NLP2016-24 CCS2016-7
The arrowhead system is a trading system within a millisecond, which was launched in January 2010 at Tokyo Stock Exchang... [more] NLP2016-24 CCS2016-7
pp.27-30
EA, SP, SIP 2016-03-29
11:10
Oita Beppu International Convention Center B-ConPlaza Voice liveness detection using phoneme information for speaker verification
Sayaka Shiota (Tokyo Metropolitan Univ.), Fernando Villavicencio, Junichi Yamagishi, Nobutaka Ono, Isao Echizen (NII), Tomoko Matsui (ISM), Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2015-128 SIP2015-177 SP2015-156
 [more] EA2015-128 SIP2015-177 SP2015-156
pp.347-351
SWIM 2016-02-26
13:30
Tokyo Kikai-Shinko-Kaikan Bldg. A Method to Systematic Risk Management Watch Dog
Akihiro Hayashi (ISM) SWIM2015-19
Recently we can see the growing interest on Risk Management Process. The main purpose of Risk Management is to succeed s... [more] SWIM2015-19
pp.1-9
SWIM 2015-12-05
15:30
Tokyo Tokyo polytechnic Univ. Process Improvement Method by Preventing Recurrence of Troubles
Akihiro Hayashi (ISM) SWIM2015-16
In this paper, we propose a method to establish the process to prevent recurrence of troubles of system development proj... [more] SWIM2015-16
pp.25-31
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Robust estimation for sparse Gaussian graphical modeling
Kei Hirose (Osaka Univ.), Hironori Fujisawa (ISM) IBISML2015-54
 [more] IBISML2015-54
pp.17-18
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Learning Structure of Partial Markov Random Field via Partitioned Ratio
Song Liu (ISM), Taiji Suzuki (Tokyo Tech.), Masashi Sugiyama (UTokyo), Kenji Fukumizu (ISM) IBISML2015-72
A new concept, partitioned ratio is proposed to find the partial connectivity of the Markov random field. First we argue... [more] IBISML2015-72
pp.147-151
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Local Kernel Dimensional Reduction in Approximate Bayesian Computation
Jin Zhou (SOKENDAI), Kenji Fukumizu (ISM)
 [more]
SP, IPSJ-SLP
(Joint)
2015-07-17
13:40
Nagano Katakura Suwako Hotel Voice liveness detection based on frequency characteristics for speaker verification
Sayaka Shiota (Tokyo Metro. Univ.), Fernando Villaviencio, Junichi Yamagishi, Nobutaka Ono, Isao Echizen (NII), Tomoko Matsui (ISM) SP2015-48
 [more] SP2015-48
pp.73-78
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
15:05
Okinawa Okinawa Institute of Science and Technology Lazy Transfer Leanring
Song Liu, Kenji Fukumizu (ISM) IBISML2015-12
The concept of Transfer Learning frequently rises when one has already acquired a general-purpose classifier (e.g. human... [more] IBISML2015-12
pp.75-80
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-24
11:00
Okinawa Okinawa Institute of Science and Technology Tracking multiple cells with a spatial particle filter
Osamu Hirose, Shotaro Kawaguchi (Kanazawa Univ.), Terumasa Tokunaga (Kyutech), Yu Toyoshima (Univ. Tokyo), Takayuki Teramoto, Sayuri Kuge, Takeshi Ishihara (Kyushu Univ.), Yuichi Iino (Univ. Tokyo), Ryo Yoshida (ISM) IBISML2015-18
 [more] IBISML2015-18
pp.137-141
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-24
11:25
Okinawa Okinawa Institute of Science and Technology Repulsive parallel MCMC algorithm for discovering diverse motifs from large sequence sets.
Hisaki Ikebata (SOKENDAI), Ryo Yoshida (ISM) IBISML2015-19
It is important to predict TFBSs (transcription factor binding sites) for the elucidation of the mechanism in gene regul... [more] IBISML2015-19
pp.143-147
WIT, SP, ASJ-H, PRMU 2015-06-18
14:50
Niigata   Study on i-vector based speaker identification for short utterances
Misaki Tsujikawa (Panasonic Corporation/SOKENDAI), Tsuyoki Nishikawa (Panasonic Corporation), Tomoko Matsui (ISM) PRMU2015-43 SP2015-12 WIT2015-12
Recently, voice controlled system is growing popular due to the development of speech recognition technology. For exampl... [more] PRMU2015-43 SP2015-12 WIT2015-12
pp.65-70
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