Study on Pattern Inference based on Positive Examples and its Application to Knowledge Discovery
| Project/Area Number |
19500125
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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 |
Intelligent informatics
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
SHINOHARA Takeshi Kyushu Institute of Technology, 大学院・情報工学研究院, 教授 (60154225)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2007: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 学習と発見 / パターン言語 / 帰納推論 / 知識発見 / 正例からの学習 |
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| Research Abstract |
This study has been dealt with pattern inference as knowledge discovery. We focus our attention on approximate retrieval of similar examples from database. For useful knowledge discovery, it is important to realize efficient approximate retrieval from large scale high-dimensional database. Results obtained in this study include development of speed-up techniques of spatial index for multimedia high-dimensional database and their application to experimental systems, such as video identification and program matching.
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Report
(4 results)
Research Products
(25 results)
