| Project/Area Number |
19500163
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
KURITA Takio (KURITA Tkio) National Institute of Advanced Industrial Science and Technology, 大学院・工学研究院, 教授 (10356941)
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| Project Period (FY) |
2007 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2008: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2007: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | パターン認識 / 最適化手法 / モデル選択 / 汎化性能 / 物体検出 / 画像認識 / トラッキング / Particle Swarm Optimization / サポートベクターマシン / 多クラス識別 / 遺伝的アルゴリズム / Particle Swarm Otimization / 対象検出 / RANSAC / Partcle Swarm Optimization / カーネルロジスティック回帰 |
|---|
| Research Abstract |
By taking recent developments on optimization algorithms into account, the practical model selection algorithms for pattern recognition such as (1) algorithm to determine the optimum hyper-parameters of the classifier, (2) selection algorithm of the effective features for pattern classification, (3) efficient learning algorithm for object detection in image, (4) automatic design of classifiers with high generalization, (5) feature selection algorithm for object tracking in the image sequences, were proposed and the effectiveness of the optimization algorithms was confirmed.
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