Face Recognition using Multi-class Support Vector Machines mixture Triangle-based approach
碩士 === 國立臺北大學 === 資訊管理研究所 === 94 === Face recognition has researched for thirty years, in recent ten year, face recognition improved with few kernel technology. Example: Feature-based、Template-based、Neural Network-based. In the past, recognition rate will changed with environment changes, and slow d...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/39099930590432240600 |