2012 Fiscal Year Final Research Report
Research on designing efficient, robust and ciphered patternrecognition schemes using compressed sensing techniques
| Project/Area Number |
22700163
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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 | Nagasaki University |
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Principal Investigator |
SAKAI Tomoya 長崎大学, 大学院・工学研究科, 准教授 (30345003)
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| Project Period (FY) |
2010 – 2012
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| Keywords | パターン認識 / ランダム射影 / 多重ラベリング |
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| Research Abstract |
Introducing compressed sensing techniques to pattern information processing, the present study achieved pattern recognition with improved efficiency, robustness and security. The developed techniques of efficient pattern compression androbust recognition for the compressed patterns were examined in the applications such asface recognition, object recognition, image matching and computer-aided lung sound analysis.
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