Presentation 2012-01-27
Tensor decomposition based on self-organizing map
Toru IWASAKI, Saori WADA, Tetsuo FURUKAWA,
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Abstract(in English) The aim of this paper is to develop a nonlinear tensor decomposition algorithm based on the self-organiing map (SOM). The key ideas are (i) adopting the concept of the power of SOM (SOM^n), and (ii) representing the map by orthonormal expantion. The simulation results showed that the proposed algorithm works as it is expected.
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Keyword(in English) topographic mapping / self-orgnising map / SOM / tensor decomposition / tensor factorization / relational data
Paper # NC2011-114
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Committee NC
Conference Date 2012/1/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tensor decomposition based on self-organizing map
Sub Title (in English)
Keyword(1) topographic mapping
Keyword(2) self-orgnising map
Keyword(3) SOM
Keyword(4) tensor decomposition
Keyword(5) tensor factorization
Keyword(6) relational data
1st Author's Name Toru IWASAKI
1st Author's Affiliation Department of Brain Science and Engineering, Kyushu Institute of Technology()
2nd Author's Name Saori WADA
2nd Author's Affiliation Department of Brain Science and Engineering, Kyushu Institute of Technology
3rd Author's Name Tetsuo FURUKAWA
3rd Author's Affiliation Department of Brain Science and Engineering, Kyushu Institute of Technology
Date 2012-01-27
Paper # NC2011-114
Volume (vol) vol.111
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue