Efficient Fisher Discrimination Dictionary Learning
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- 作者：Rui Jianga ; jiangrui627@163.com" class="auth_mail" title="E-mail the corresponding author ; Hong Qiaoa ; b ; hong.qiao@ia.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Bo Zhangc ; b.zhang@amt.ac.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fisher discrimination dictionary learning ; Nesterov's accelerated gradient method ; Face recognition ; Domain adaptation
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：128
- 期：Complete
- 页码：28-39
- 全文大小：2108 K
文摘
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An Efficient Fisher Discrimination Dictionary Learning (E-FDDL) method is proposed.
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E-FDDL is stable for classification tasks involving data with unbalanced changes.
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E-FDDL is used to accelerate the Shared Domain-adapted Dictionary Learning method.