Presentation | 1996/3/19 A self-supervised learning system for category detection by sensory integration Koichiro YAMAUCHI, Mikiya OOTA, Naohiro ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Artificial neural network is a useful tool for pattern recognition because the network can realize nonlinear mapping between input and output spaces. This ability is tuned by supervised learning methods such as back-propagation. In the supervised learning methods, desired outputs of the neural network are needed. However, the desired outputs are usually unknown in unpredictable environments. To solve this problem, this paper presents a self-supervised learning system for category detection. This system learns categories of objects and boundaries between them automatically by integrating information from several sensors. We assume that these sensory inputs are always ambiguous patterns which include some noises according to deformation of the objects. After the learning, the system recognizes objects with controlling a priority of each sensor according to the deformation of the sensory input pattern. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Network / Self-Supervised-learning / Back-Propagation / Sensory Fusion |
Paper # | NC95-160 |
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Committee | NC |
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Conference Date | 1996/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | A self-supervised learning system for category detection by sensory integration |
Sub Title (in English) | |
Keyword(1) | Neural Network |
Keyword(2) | Self-Supervised-learning |
Keyword(3) | Back-Propagation |
Keyword(4) | Sensory Fusion |
1st Author's Name | Koichiro YAMAUCHI |
1st Author's Affiliation | Department of Intelligence and Computer Science, Nagoya Institute of Technology() |
2nd Author's Name | Mikiya OOTA |
2nd Author's Affiliation | Department of Intelligence and Computer Science, Nagoya Institute of Technology |
3rd Author's Name | Naohiro ISHII |
3rd Author's Affiliation | Department of Intelligence and Computer Science, Nagoya Institute of Technology |
Date | 1996/3/19 |
Paper # | NC95-160 |
Volume (vol) | vol.95 |
Number (no) | 599 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |