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All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 99件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IT 2019-07-25
14:25
Tokyo NATULUCK-Iidabashi-Higashiguchi Ekimaeten Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables
Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] IT2019-16
pp.5-10
R 2019-06-14
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. Identification comparison of software fault-prone modules using nonlinear logistic regression models
Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12
In this article, we compare several non-linear logistic regression models used in a fault-prone
identification problem... [more]
R2019-12
pp.19-24
ITS, IEE-ITS 2019-03-04
10:55
Kyoto Kyoto Univ. Improvement in travel time prediction based on linear regression models
Shigeharu Toyoda, Ken-ichi Masuda, Kentarou Takaki (SEI) ITS2018-87
In the case of the database of the Japan Digital Road Map Association, there are 1.54 million road links even in Japan's... [more] ITS2018-87
pp.5-10
NLP, NC
(Joint)
2019-01-23
11:20
Hokkaido The Centennial Hall, Hokkaido Univ. An analysis on chaotic marked point process using constrained random shuffled surrogate data
Kohei Yamamoto (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2018-101
Marked point process data refer to a time series of discrete events
with additional information.
For example, se... [more]
NLP2018-101
pp.29-34
EA, ASJ-H, EMM, IPSJ-MUS [detail] 2018-11-21
13:30
Ishikawa Hotel Koshuen Study on spread-spectrum based speech watermarking method by using linear prediction residual
Reiya Namikawa, Masashi Unoki (JAIST) EA2018-68 EMM2018-68
Direct spread spectrum (DSS) method is well-known as a robust audio information-hiding method.
However, this method has... [more]
EA2018-68 EMM2018-68
pp.31-36
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
EMM 2018-03-05
14:35
Kagoshima Naze Community Center (Amami-Shi, Kagoshima) [Poster Presentation] Study on spread-spectrum based speech watermarking method for linear predictive coding
Reiya Namikawa, Masashi Unoki (JAIST) EMM2017-79
This paper investigates availability of spread-spectrum based speech watermarking
method for linear predictive coding. ... [more]
EMM2017-79
pp.13-16
EA 2018-02-15
16:15
Hiroshima Pref. Univ. Hiroshima [Invited Talk] Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties -- My forty-year history at a slow pace --
Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] EA2017-96
p.19
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Nonlinear parametric model based on power law for tsunami height prediction
Masashi Yoshikawa (UT), Yasuhiko Igarashi (JST), Shin Murata (UT), Toshitaka Baba (TU), Takane Hori (JAMSTEC), Masato Okada (UT) IBISML2017-70
When a subduction-zone earthquake occurs, we need to predict the tsunami height in order to cope with the tsunami damage... [more] IBISML2017-70
pp.261-267
RCS 2017-10-19
10:50
Miyagi Tohoku Institute of Technology A Study on Adaptive Channel Estimation for Distributed MIMO Cooperative Transmissions
Fumiyuki Adachi, Amnart Boonkajay (Tohoku Univ.) RCS2017-173
In distributed MIMO cooperative transmission using time division duplex (TDD), base station (BS) selects at most 4 distr... [more] RCS2017-173
pp.31-36
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
RCS, AP
(Joint)
2016-11-25
16:05
Kyoto Kyoto International Community House Low Computational Design Method of Multiuser MIMO System for Moving Targets
Tetsuki Taniguchi (TITECH), Yoshio Karasawa, Nobuo Nakajima (The Univ. of Electro-Communications) RCS2016-206
Multiuser multiple input multiple output (MIMO) downlink system is suffered from performance degradation under the movem... [more] RCS2016-206
pp.85-88
EA, ASJ-H, IPSJ-MUS [detail] 2016-10-15
09:00
Ishikawa Noto Omakidai (Nanao) [Fellow Memorial Lecture] Progress in speech and audio coding technologies
Takehiro Moriya (NTT) EA2016-47
Among recent research and development trends on speech and audio coding, two international standard schemes are introduc... [more] EA2016-47
p.109
EMCJ 2016-05-13
15:15
Hokkaido Hokkaido University Linear Equivalent Circuit Modeling of Power Converter Circuit for Condunted Disturbance Estimation -- Impact of Trigger Timing on the modeling --
Yusuke Yano, Hiroki Geshi, Kengo Iokibe (Okayama Univ.), Tetsushi Watanabe (Industrial Technology Center of Okayama Prefecture), Yoshitaka Toyota (Okayama Univ.) EMCJ2016-16
We proposed a linear equivalent circuit model of power converter circuit for efficient reduction design of conducted EMI... [more] EMCJ2016-16
pp.41-45
AI 2015-12-18
12:00
Okinawa   A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting
Takuto Notsu, Kenta Mikawa, Masayuki Goto (Waseda Univ.), Tairiku Ogihara (Recruit Career Co., Ltd.) AI2015-34
Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal site... [more] AI2015-34
pp.49-54
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Theoretical Vulnerability Evaluation on Linear Classifier under Self-Information Controllable Settings
Shohei Kobayashi (Univ. of Tsukuba), Shota Okumura, Ichiro Takeuchi (nitech), Jun Sakuma (Univ. of Tsukuba) IBISML2015-64
Self-information controllable learning is machine learning algorithms that allow data providers to control their data ev... [more] IBISML2015-64
pp.83-90
EA, ASJ-H 2015-08-03
13:30
Miyagi Tohoku Univ., Research Inst. of Electrical Communication Study on restoration of instantaneous amplitude and phase of speech signal in noisy reverberant environments
Yang Liu, Naushin Nower (JAIST), Yonghong Yan (IOA), Masashi Unoki (JAIST) EA2015-11
We have proved that restoring the instantaneous amplitude as well as instantaneous phase on Gammatone filterbank plays a... [more] EA2015-11
pp.7-12
R 2015-07-31
15:10
Aomori   On Software Quality Prediction Based on Generalized Linear Models
Shinji Inoue, Shigeru Yamada (Tottori Univ.) R2015-18
Statistical analysis approaches are often discussed for statistical software quality prediction based on software proces... [more] R2015-18
pp.25-30
WIT, SP, ASJ-H, PRMU 2015-06-19
10:00
Niigata   Study on prediction of quasiperiodic nonlinear phenomena based on Gaussian process state space model
Akira Tamamori, Tomoko Matsui (ISM), Masumi Kitazawa (QOL) PRMU2015-49 SP2015-18 WIT2015-18
Many non-linear phenomena which exhibit quasiperiodic fluctuations can be widely observed in the world; population of or... [more] PRMU2015-49 SP2015-18 WIT2015-18
pp.101-106
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