Using Local Binary Patterns And Optimized Features Selection For Gender Classification
碩士 === 中山醫學大學 === 醫學資訊學系碩士班 === 104 === Gender classification is a very important issue. Its application is very broad, such as monitoring systems and billboards. If this technology can be applied in daily life, life will be become more interesting and convenient. Feature extraction is the key step...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/18100611384528483360 |