Presentation | 2004/1/19 On the information separation by the product model of SOM and neural gas : Separation of position and direction information from visual inputs (Neurocomputing) Akira DATE, Koji KURATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The visual input to a robot in a room is a function of two factors, the position and direction of the robot. To separate these two factors of information in the observed images, we have developed a computational model based on two learning algorithms, the Kohonen's self-organizing map (SOM) and the neural gas (GAS). Our model, a product of these two models, is SOM-like in one dimension of the unit array and GAS-like in the other dimension. By putting these algorithms, we demonstrate, by computer simulation, that position and direction are extracted separately in different dimensions of the unit array. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Self-organizing Map / Neual Gas / Information Separation / Self-Localization / Mobile Robots |
Paper # | NC2003-115 |
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Committee | NC |
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Conference Date | 2004/1/19(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On the information separation by the product model of SOM and neural gas : Separation of position and direction information from visual inputs (Neurocomputing) |
Sub Title (in English) | |
Keyword(1) | Self-organizing Map |
Keyword(2) | Neual Gas |
Keyword(3) | Information Separation |
Keyword(4) | Self-Localization |
Keyword(5) | Mobile Robots |
1st Author's Name | Akira DATE |
1st Author's Affiliation | Communications Research Laboratory() |
2nd Author's Name | Koji KURATA |
2nd Author's Affiliation | Faculty of Engineering, Univeristy of the Ryukyus |
Date | 2004/1/19 |
Paper # | NC2003-115 |
Volume (vol) | vol.103 |
Number (no) | 601 |
Page | pp.pp.- |
#Pages | 6 |
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