期刊论文详细信息
IEICE Electronics Express | |
Two-fold regularization for kernel Fisher discriminant analysis in face recognition | |
Sang-Ki Kim1  Kar-Ann Toh1  Sangyoun Lee1  | |
[1]Department of Electrical and Electronic Engineering, Biometrics Engineering Research Center, Yonsei University | |
关键词: face recognition; subspace learning; kernel discriminant analysis; | |
DOI : 10.1587/elex.6.540 | |
学科分类:电子、光学、磁材料 | |
来源: Denshi Jouhou Tsuushin Gakkai | |
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【 摘 要 】
References(6)Cited-By(1)Due to the inherent nature of kernel implementation, the kernel Fisher discriminant suffers from the small sample size problem. In this paper, we introduce a novel variant of the kernel Fisher discriminant formulation to circumvent this problem. By adopting a two-fold regularization scheme on the scatter matrices, we show both effectiveness and reliability of the proposed method particularly regarding the small sample size and the lack of dimensionality issues.【 授权许可】
Unknown
【 预 览 】
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RO201911300100806ZK.pdf | 185KB | ![]() |