Semi-Supervised Support Vector Machine for Face Recognition

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 98 === Semi-supervised learning is a popular issue in the areas of pattern classification and machine learning. This issue is especially crucial in the application of face recognition. Traditional classifiers are trained by only using the labeled data. However, the l...

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Bibliographic Details
Main Authors: Yung-HangChen, 陳永航
Other Authors: Jen-Tzung Chien
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/33931986981605289521