SYSTEMATIZATION AND GENERALIZATION OF DISCRIMINATIVE TRAINING
| Project/Area Number |
19300064
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Doshisha University |
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Principal Investigator |
KATAGIRI Shigeru Doshisha University, 理工学部, 教授 (40396114)
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| Co-Investigator(Kenkyū-buntansha) |
OHSAKI Miho 同志社大学, 理工学部, 准教授 (30313927)
NAKAMURA Atsushi 日本電信電話(株), NTTコミュニケーション科学基礎研究所, 主幹研究員 (50396206)
MCDERMOTT Erik (株)国際電気通信基礎技術研究所, 研究員 (40447024)
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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 |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2009: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2008: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2007: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Keywords | 一般化確率的降下法 / 最小分類誤り学習法 / 識別学習 / パターン認識 / サポートベクタマシン / ブースティング / 最小分類誤り学習 / パター認識 / 構造的リスク最小化 |
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| Research Abstract |
The systematization of discriminative training methods was conducted based on equivalence between misclassification measure and functional margin and on a unified formalization of microscopic- and macroscopic-unit classification. In addition, a geometric margin was derived for a general class of discriminant functions, and a new MCE method was developed by employing the geometric margin as the misclassification measure. The incremental-MCE method was also formalized that consisted of stepwise MCE training for the elemental weak classifiers. The results were implemented in educational software named DISCERN.
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Report
(4 results)
Research Products
(26 results)
