On Improving Linear Discriminant Analysis for Face Recognition with Small Sample Size Problem
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 90 === In the literature of face recognition, LDA (Linear Discriminant Analysis) is a popular linear transformation technique to extract the discriminant feature vector. However, this technique may occur the singularity problem on calculating the inverse of the withi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/26zux8 |