| Project/Area Number |
25330200
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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 |
Perceptual information processing
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| Research Institution | Nagasaki University |
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Principal Investigator |
SAKAI Tomoya 長崎大学, 工学研究科, 准教授 (30345003)
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| Co-Investigator(Renkei-kenkyūsha) |
KIYASU Senya 長崎大学, 工学研究科, 教授 (20234388)
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| Research Collaborator |
MIYAHARA Sueharu
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | パターン認識 / 機械学習 / 信号処理 / 圧縮センシング / スパースモデリング / 画像 |
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| Outline of Final Research Achievements |
Present research has established "combinatorial pattern recognition", which formulates the pattern recognition as a problem of finding an optimal combination of basic concepts or classes that concisely explains a given pattern. The combinatorial problem can be translated into convex optimization in which sparsity, low-rankness, co-occurrence of features, etc, are quantified as convex functions. In the applied research, the combinatorial pattern recognition has enabled, e.g., Chinese character detection based on typical combinations of lines, lung-sound recognition via signal separation into combinations of normal and adventitious sound components, and video understanding by combinations of egomotion and object motion.
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