Presentation | 2015-11-01 The hierarchical visualizing and learning method in the generative topographic mapping Takehito Oshita, Mikio Hasegawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Generative Topographic Mapping(GTM) is the latent variable model which is formalized Kohonen’s Self-Organization Map in the field of the probability theory. In this paper, We introduce the basic theory of GTM and the hierarchical visualization of MNIST(which is handwritten 10 numbers 0-9) dataset, and discuss the efficiency for the learning accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GTM / Generative Model / Latent Variable / RBF Network / Visualization / Manifold Learning / SOM / Self Organization Mapping |
Paper # | NLP2015-124 |
Date of Issue | 2015-10-24 (NLP) |
Conference Information | |
Committee | NLP |
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Conference Date | 2015/10/31(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Nobumoto Ohama Memorial Hall |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Nonlinear Problems, etc. |
Chair | Kenya Jinno(Nippon Inst. of Tech.) |
Vice Chair | Naoto Fujisaka(Hiroshima City Univ.) |
Secretary | Naoto Fujisaka(Tokyo Univ. of Science) |
Assistant | Hidehiro Nakano(Tokyo City Univ.) / Hiroyuki Asahara(Okayama Univ. of Science) |
Paper Information | |
Registration To | Technical Committee on Nonlinear Problems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The hierarchical visualizing and learning method in the generative topographic mapping |
Sub Title (in English) | |
Keyword(1) | GTM |
Keyword(2) | Generative Model |
Keyword(3) | Latent Variable |
Keyword(4) | RBF Network |
Keyword(5) | Visualization |
Keyword(6) | Manifold Learning |
Keyword(7) | SOM |
Keyword(8) | Self Organization Mapping |
1st Author's Name | Takehito Oshita |
1st Author's Affiliation | Brains Consulting, Inc.(BCI) |
2nd Author's Name | Mikio Hasegawa |
2nd Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
Date | 2015-11-01 |
Paper # | NLP2015-124 |
Volume (vol) | vol.115 |
Number (no) | NLP-284 |
Page | pp.pp.99-103(NLP), |
#Pages | 5 |
Date of Issue | 2015-10-24 (NLP) |