Gender classification from face images using support vector machine

Investigated the performance of support vector machine on gender categorization using images. Radial Basic Kernel and two parameters of the RBF kernel were chosen. By using random selection of images for training the classifier in a series of runs, the accuracies were determined.

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書目詳細資料
主要作者: Phyu Phyu Thant.
其他作者: Sung, Eric
格式: Theses and Dissertations
出版: 2008
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在線閱讀:http://hdl.handle.net/10356/3139
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機構: Nanyang Technological University