A research on evolutionary automatic construction of image recognition procedure based on machine learning
Project/Area Number |
21300050
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Yokohama National University |
Principal Investigator |
NAGAO Tomoharu 横浜国立大学, 環境情報研究院, 教授 (10180457)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥18,330,000 (Direct Cost: ¥14,100,000、Indirect Cost: ¥4,230,000)
Fiscal Year 2011: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2010: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
|
Keywords | 知能情報処理 / 進化計算法 / 人工知能 / 機械学習 / 知能機械 / 知能ロボティクス / 情報システム |
Research Abstract |
In this project, we researched automatic construction of image recognizer by using evolutionary computation. As the result, we developed a method named "Evolutionary Decision Network". In this system, by giving learning images to computer, a network that classifies the input signal and its referential signals into several classes is automatically generated. Each node of the network branches the signal according to the size of its feature value. We performed several experiments including medical image recognition, and verified the usefulness of the proposed method.
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Report
(4 results)
Research Products
(39 results)
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[Journal Article]2009
Author(s)
Jun Ando, Tomoharu Nagao
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Journal Title
Image Processing, chanter 22(Chen Yune-Shene(ed.))(IN-TECH)
Pages: 403-414
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