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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-29
10:55
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of a statistical model of human embryonic anatomical landmarks
Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (KU), Hidekata Hontani, Hiroshi Matsuzoe (NIT), Shoko Miyauchi, Ken'ichi Morooka (QU), Akinobu Shimizu (TUAT) MI2019-71
(To be available after the conference date) [more] MI2019-71
pp.29-30
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:40
Okinawa   [Short Paper] Proposal of a spatio-temporal statistical model of generated anatomical landmarks
Aoi Shinjo, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Hiroshi Matsuzoe, Hidekata Hontani (NITech), Akinobu Shimizu (TUAT) MI2017-77
(To be available after the conference date) [more] MI2017-77
pp.41-42
MI, MICT 2017-11-06
14:30
Kagawa Sunport Hall Takamatsu [Short Paper]
Kazuki Kasahara, Atsushi Saito (TUAT), Tetsuya Takakuwa, Shigehito Yamada (Kyoto Univ.), Hidekata Hontani, Hiroshi Matsuzoe (NITech), Akinobu Shimizu (TUAT) MICT2017-35 MI2017-57
(To be available after the conference date) [more] MICT2017-35 MI2017-57
pp.45-46
MI 2017-07-07
14:30
Miyagi Tohoku Univ. [Short Paper] On Maximum Likelihood Estimation for q-Exponential Family
Hidekata Hontani, Naoki Kawamura, Tatsuya Yokota, Hiroshi Matsuzoe (NITech) MI2017-35
 [more] MI2017-35
pp.37-38
MI 2015-09-08
14:50
Tokyo Univ. of Electro-communications Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model
Mitsunori Yamada, Hidekata Hontani, Hiroshi Matsuzoe (NIT) MI2015-54
The authors propose a method that selects an appropriate distribution model for accurately representing statistics of th... [more] MI2015-54
pp.31-34
MI 2013-07-19
10:40
Miyagi   [Special Talk] Geometry of Statistical Models from the Viewpoint of Differential Geometry
Hiroshi Matsuzoe (NIT) MI2013-32
In geometric theory of statistical inferences, geometry of parameter spaces of probability distributions is called infor... [more] MI2013-32
p.67
 Results 1 - 6 of 6  /   
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