Sequential Support Vector Machine for Face Recognition
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 93 === One effective approach is to adapt face models using new data in new environment. This thesis presents a novel sequential learning algorithm for the support vector machine（SVM） based face recognition system. First of all, we use a aussian probability model to...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/47391752650312695629 |