Development and Application of an ICA algorithm for quite high-dimensional signals
| Project/Area Number |
19700267
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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 |
Statistical science
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| Research Institution | Aoyama Gakuin University |
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Principal Investigator |
MATSUDA Yoshitatsu Aoyama Gakuin University, 理工学部, 助教 (40433700)
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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 |
¥3,760,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | 統計数学 / 画像、文章、音声等認識 / 信号処理 / 画像・文章・音声等認識 |
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| Research Abstract |
Though human brains can learn quickly the significant features from complicated data of a quite large number of signals such as natural scenes and recognize them, computers spend quite long computation time on doing the similar processing. In this project, the previous method has been improved by the statistical and information-theoretical analyses and the computation time has been reduced drastically. Besides, the validity of the proposed method is verified by numerical experiments on practical data such as natural scenes.
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Report
(4 results)
Research Products
(21 results)
