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Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, SIP, MSS, VLD 2018-06-14
12:25		 Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) [Invited Talk] Application of sparse modeling to geosciences
Tatsu Kuwatani (JAMSTEC/JST PRESTO) CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5		 The essence of geosciences is an inverse problem. It is important to extract essential information from data with noise ... [more] CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5
pp.23-25
NC, MBE
(Joint)		 2013-11-22
14:15		 Miyagi Tohoku University Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model
Kensuke Wakasugi (Univ. Tokyo), Tatsu Kuwatani (Tohoku Univ.), Kenji Nagata (Univ. Tokyo), Hideki Asoh (AIST), Masato Okada (Univ. Tokyo/RIKEN) NC2013-49		 There are many analysis methods for high-dimensional data, but, in many cases, analysis is done under assumption that a ... [more] NC2013-49
pp.17-22
NC 2011-07-26
10:20		 Hyogo Graduate School of Engineering, Kobe University Estimation of fluid distributions from seismic velocity structure using Markov random field modelling
Tatsu Kuwatani, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN), Mitsuhiro Toriumi (JAMSTEC) NC2011-34		  [more] NC2011-34
pp.75-80
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