2014 Fiscal Year Final Research Report
novel probability Pattern Recognition derived from a density function consisting with normal samples and their mirror ones
| Project/Area Number |
24500338
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Tokyo University of Agriculture and Technology |
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Principal Investigator |
SEIJI Hotta 東京農工大学, 工学(系)研究科(研究院), 准教授 (90346932)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Keywords | パターン認識 |
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| Outline of Final Research Achievements |
This research presents a novel probability density function (PDF) consisting with normal samples and their mirror ones. We can derive heuristic classifiers such as simple and multiple subspace classifiers from this PDF. The performance of our approach is verified by experiments on big data recognition such as image, audio, and video.
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| Free Research Field |
情報科学
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