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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE [detail] 2010-12-19
13:30		 Aichi Nagoya Univ. A Hierarchal Features Realization Method by Self-Organizing Map
Shuta Saito, Masahiro Ariizumi, Hakaru Tamukoh, Masatoshi Sekine (Tokyo Univ. of Agr and Tech) MBE2010-72 NC2010-83		 In this paper, we propose a tree structured SOM to learn a base vector to express the feature of the image hierarchicall... [more] MBE2010-72 NC2010-83
pp.97-102
PRMU, FM 2010-12-10
11:40		 Yamaguchi   An Image Recognition System by Tree Structured SOM with Feature Learning Function
Masahiro Ariizumi, Shuta Saito, Hakaru Tamukoh, Masatoshi Sekine (TUAT) PRMU2010-143		 In this paper, we describe an image recognition system combining a tree structured Self Organizing Map(SOM) for feature ... [more] PRMU2010-143
pp.97-102
CAS 2010-01-28
13:50		 Kyoto Kyoudai-Kaikan Bldg. Tree Structured SOM Hardware by using hw/sw Complex
Shuta Saito, Hakaru Tamukoh, Yuuichi Kobayashi, Masatoshi Sekine (Tokyo University of Agr and Tech.) CAS2009-66		 Self-Organizing Map (SOM) is a neural network to get a statistical nature of multidimensional input data by self-organiz... [more] CAS2009-66
pp.13-18
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