A study on online adaptive pattern recognition with sequential optimization of model structures
| Project/Area Number |
21700205
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Waseda University |
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Principal Investigator |
OGAWA Tetsuji Waseda University, 高等研究所, 助教 (70386598)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | パターン認識 / 話者認識 / 顔認識 / ベイズ学習 / 教師なし学習 / 最適化 / 人物認識 |
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| Research Abstract |
I developed a method of adaptively optimizing both the structure and parameters of statistical models used in pattern recognition systems to effectively improve robustness of those systems to environmental changes. In addition, I attempted to apply this framework to speaker recognition systems using speech information and face recognition systems using image information.
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Report
(3 results)
Research Products
(7 results)
