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Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)		 2019-12-11
- 2019-12-13		 Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Temporal Segmentation of Continuous Facial Expressions Based on Time-series 3D Data Measured for Sparse Facial Feature Points
Kentaro Yasuda, Shinjiro Iemitsu, Shigeru Akamatsu (Hosei Univ.) 		Temporal segmentation of a time-series sequence of facial expressions into utterance units remains a critically unsolved... [more]
PRMU, IE, MI, SIP 2017-05-25
17:00		 Aichi   [Special Talk] Real-time Forecasting of Big Time-series Data: Foundations and Challenges
Yasushi Sakurai (Kumamoto Univ.) SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11		 Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large col... [more] SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11
p.61
IA, IN
(Joint)		 2016-12-15
13:35		 Hiroshima Hiroshima city university [Invited Talk] Real-time Modeling and Forecasting of Big Time-series Data
Yasuko Matsubara (Kumamoto Univ.) IN2016-70 IA2016-64		 Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the... [more] IN2016-70 IA2016-64
pp.23-28(IN), pp.5-10(IA)
NC, MBE
(Joint)		 2009-03-13
10:10		 Tokyo Tamagawa Univ. EEG classification method by adaptive downsampling with training data -- Experiment with P300 Speller task --
Yuya Sakamoto, Masaki Aono (Toyohashi Univ. of Tech.) NC2008-165		 To achieve Brain Computer Interface, recording Electroencephalogram (EEG) and classifying whether P300 is evoked by pres... [more] NC2008-165
pp.365-370
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