A Study on the Subspace LDA Methods for Solving the Small Sample Size Problem in Face Recognition
碩士 === 國立清華大學 === 資訊工程學系 === 102 === In face recognition, LDA often encounters the so-called “small sample size” (SSS) problem, also known as “curse of dimensionality”. This problem occurs when the dimensionality of the data is quite large in comparison to the number of available training images. On...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/37350366836829966832 |