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Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2019-11-14
13:00		 Hyogo Kobe Univ. Phase reduction approach to spatiotemporal synchronization of traveling and oscillating convection
Yoji Kawamura (JAMSTEC) CCS2019-24		 We formulate a theory for the phase reduction of traveling and oscillating thermal convection in a two-dimensional incom... [more] CCS2019-24
pp.1-4
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
18:10		 Hokkaido Hokkaido University High quality recovery of nonsparse signals from compressed sensing
Aiko Nishiyama, Yuki Yamanaka, Akira Hirabayashi (Ritsumeikan Univ.), Kazushi Mimura (Hiroshima City Univ.) CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24		 We propose a novel algorithm for the recovery of non-sparse, but compressible signals from linear undersampled measureme... [more] CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24
pp.123-127
IN 2012-01-27
10:40		 Hokkaido Asahikawa-Terminal-Hotel Adaptive Pattern Analysis of Network Traffic using Time Series Compressibility
Ushio Ozeki, Toshinori Watanabe, Hisashi Koga (UEC) IN2011-128		 Although the Internet continues to innovate by bringing brand-new applications without a break, the network management h... [more] IN2011-128
pp.47-52
SIP, CAS, VLD 2009-07-01
17:10		 Hokkaido Kushiko-shi Shogai Gakushu Center [Tutorial Lecture] Compressed Sensing -- Basic Principle and State-of-the-Art Results --
Akira Hirabayashi (Yamaguchi Univ.) CAS2009-11 VLD2009-16 SIP2009-28		 Compressed sensing stands for a technique which reduces a number of observation data of a target signal as few as possib... [more] CAS2009-11 VLD2009-16 SIP2009-28
pp.55-60
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