Sample diversity, representation effectiveness and robust dictionary learning for face recognition
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- 作者：Yong Xua ; b ; yongxu@ymail.com" class="auth_mail" title="E-mail the corresponding author ; Zhengming Lia ; c ; Bob Zhangd ; Jian Yange ; Jane Youf
- 关键词：Dictionary learning ; Sparse coding ; Face recognition
- 刊名：Information Sciences
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：375
- 期：Complete
- 页码：171-182
- 全文大小：1358 K
文摘
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The proposed algorithm framework takes training sample diversities of the same face image into account and tries to obtain more effective representation of face images and a more robust dictionary.
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The designed algorithm is indeed a framework which allows various schemes to produce “alternative training sample” to be used.
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The proposed algorithm framework is not only applicable for face recognition but also can be applied to other pattern classification issues.