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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2017-10-13
10:40
Kumamoto   Parallelization of the structure of neural network for super-resolution
Kenta Tanaka, Yasukuni Mori (Chiba Univ.) PRMU2017-89
Super-resolution is a technique of outputting the high-resolution image for an image with low resolution.
In this paper... [more]
PRMU2017-89
pp.149-154
OFT, OCS, OPE
(Joint) [detail]
2016-02-19
09:25
Okinawa Okinawa Univ. LED mini-lidar for sea wave
Tatsuo Shiina, Shohei Shimada, Yasukuni Mori (Chiba Univ.), Hiroyuki Baji, Sae Takemoto (Furuno Elec.) OCS2015-109 OFT2015-64 OPE2015-229
To observe wave motion and wind on the sea, Mini-lidar was developed with LED light module. The power LED of the pulsed ... [more] OCS2015-109 OFT2015-64 OPE2015-229
pp.49-54(OCS), pp.49-54(OFT), pp.75-80(OPE)
OFT, OCS, OPE
(Joint) [detail]
2016-02-19
09:50
Okinawa Okinawa Univ. Analysis of Sea-wave Data Measured by LED Lidar
Yasukuni Mori, Shohei Shimada, Tatsuo Shiina (Chiba Univ.), Hiroyuki Baji, Sae Takemoto (Furuno Elec.) OCS2015-108 OFT2015-63 OPE2015-228
(Advance abstract in Japanese is available) [more] OCS2015-108 OFT2015-63 OPE2015-228
pp.43-48(OCS), pp.43-48(OFT), pp.69-74(OPE)
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
16:00
Osaka   Early recognition for improving classification performance in the initial stage of the sequences
Jun Sugimoto, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-100 MVE2013-41
 [more] PRMU2013-100 MVE2013-41
pp.113-118
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
10:10
Osaka   Object recognition by the selection of visual words according to each category using frequency histograms
Tatsunori Tomura, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-112 MVE2013-53
The general object recognition is a task that enables a computer to recognize an object and scene in images. In this pap... [more] PRMU2013-112 MVE2013-53
pp.195-200
NC, MBE
(Joint)
2013-11-23
10:25
Miyagi Tohoku University Epilepsy model and EEG analysis using the correlation between the ictal EEG channels
Shumpei Watanabe, Yasukuni Mori (Chiba Univ.), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ.) MBE2013-71
In the diagnosis of epilepsy, abnormal EEG signals are detected to grasp the condition of the patient and to decide how... [more] MBE2013-71
pp.27-32
NC, MBE
(Joint)
2013-11-23
10:50
Miyagi Tohoku University Chaotic properties of the ictal EEG for epilepsy patients
Koki Okamoto, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ) MBE2013-72
Epilepsy is brought on by abnormal electrical wave which occured in the part of the brain. That is one of the most commo... [more] MBE2013-72
pp.33-38
NC, MBE
(Joint)
2013-11-23
11:15
Miyagi Tohoku University Analysis of epileptic EEG using the characteristic index of stable distribution
Masaya Kifune, Kensuke Yoshida, Yasukuni Mori (Chiba Univ.), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ.) MBE2013-73
The epilepsy is one of the neurologic disorder of the brain that causes the symptom such as disturbance of consciousness... [more] MBE2013-73
pp.39-44
NLP 2013-03-15
09:00
Chiba Nishi-Chiba campus, Chiba Univ. Comparison of model performances of economic time series and its application to financial products
Tomoki Nakano, Takashi Hakuta, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) NLP2012-160
The main approach to analyze time series data is to build a model and repeat a simulation. Many models have been propose... [more] NLP2012-160
pp.81-86
MBE, NC
(Joint)
2013-03-15
13:45
Tokyo Tamagawa University Indication of Epileptic Seizure bases on Stable Distribution characterising EEG
Kensuke Yoshida, Masaya Kifune, Shumpei Watanabe, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ) MBE2012-117
Epilepsy is a brain trouble which causes convulsions ore disturbances of consciousness.Recently,many accidents are cause... [more] MBE2012-117
pp.149-153
MBE, NC
(Joint)
2012-03-15
16:00
Tokyo Tamagawa University The feature of ictal EEG and Time series analysis
Sami Abdureyim, Yasukuni Mori (Chiba Univ), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ) MBE2011-133
Seizure of the epilepsy varies widely depending on the individual patients. In this research, in orderto study the mecha... [more] MBE2011-133
pp.139-143
MBE 2011-09-26
14:55
Niigata Nagaoka Univ. of Tech. Property changes of autonomous transition on Hodgkin-Huxley neural network
Ukyo Matsushita, Sami Abdureyim, Yasukuni Mori (Chiba Univ.), Yoichi Saito, Hajime Harada (Research Institute for EEG Analysis), Ikuo Matsuba (Chiba Univ.) MBE2011-47
The neural networks including chaotic properties in neurons are important studies to reveal the flexibile information pr... [more] MBE2011-47
pp.45-50
NLP 2010-07-13
11:15
Ishikawa Ishikawa Prefectural Bunkyo Hall Analysis of long-term memory of the economic data based on Granger theory
Shintaro Sekimoto, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) NLP2010-45
 [more] NLP2010-45
pp.81-84
NLP 2008-11-06
10:50
Aichi   Structure Extraction of Time Series Generated by Multiple Rules
Junichiro Kotani, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) NLP2008-59
In time series analysis a structure of time series is often described by one rule.
However, sometimes time series may b... [more]
NLP2008-59
pp.11-16
NLP 2007-03-05
14:25
Miyagi   Improving Lyapunov Exponents Using Bootstrap Method and Its Application to Financial Time Series
Yoshihiko Imano, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.)
When we estimate Lyapunov exponents from time series data, a large quantity of data are usually needed. However, a numbe... [more] NLP2006-146
pp.21-26
 Results 1 - 15 of 15  /   
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