Collaborative probabilistic labels for face recognition from single sample per person
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- 作者：Hong-Kun Jia ; bAuthor Vitae ; Quan-Sen Suna ; qssun@126.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ze-Xuan JiaAuthor Vitae ; Yun-Hao YuancAuthor Vitae ; Guo-Qing ZhangaAuthor Vitae
- 关键词：Face recognition ; Collaborative representation ; Label propagation ; Probabilistic graph ; Single training sample per person
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：62
- 期：Complete
- 页码：125-134
- 全文大小：1412 K
文摘
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Constructed probabilistic graph propagates discrimination from generic to gallery.
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The adaptive variation type for a given sample can be automatically estimated.
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CPL incorporates a novel probabilistic label reconstruction based.
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