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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2011-07-25
14:10
Hyogo Graduate School of Engineering, Kobe University Belief Propagation for Slow Feature Analysis
Tomoki Sekiguchi (The Univ. of Tokyo), Toshiaki Omori, Masato Okada (The Univ. of Tokyo/RIKEN) NC2011-26
The slow feature analysis (SFA) is a data analysis method that extracts
slowly varying features from time series data. ... [more]
NC2011-26
pp.31-36
OFT 2010-10-25
16:20
Saitama Nippon Institute of Technology Development of 12ch x 10Gbit/s data transmission CXP Active Optical Cable with Optoelectronic ferrule
Tomoki Sekiguchi, Hajime Arao, Masaki Ooyagi, Takayuki Shimazu, Atsushi Suzuki, Tomomi Moriya, Mitsuaki Tamura (SEI) OFT2010-37
 [more] OFT2010-37
pp.45-48
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