2016 Fiscal Year Final Research Report
Evolutionary automatic construction of cellular networks for image processing and recognition
Project/Area Number |
26280056
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Perceptual information processing
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Research Institution | Yokohama National University |
Principal Investigator |
NAGAO TOMOHARU 横浜国立大学, 大学院環境情報研究院, 教授 (10180457)
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Keywords | 知能情報処理 / 進化計算法 / 人工知能 / 機械学習 |
Outline of Final Research Achievements |
The way to perform image processing and recognition using the cellular network which arranged a small-scale circuit which consists of rather simple functions in lattice grid has been researched in this project. In this method, evolutional computation, which is a kind of optimization, was employed to construct the adequate cellular network for a given task automatically. We applied the method to the tasks such as super-resolution, image segmentation and semantic segmentation and so on, and verified the effectiveness of the method. This method has a big advantage that it is possible to construct various processing just by determining a small-scale circuit, and the method is also practical.
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Free Research Field |
進化計算法
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