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基于贝叶斯优化算法的脸面特征向量子集选择
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作者 郭卫锋 林亚平 罗光平 《计算机科学》 CSCD 北大核心 2002年第12期162-163,194,共3页
Eigenvector subset selection is the key to face recognition. In this paper ,we propose ESS-BOA, a newrandomized, population-based evolutionary algorithm which deals with the Eigenvector Subset Selection (ESS)prob-lem ... Eigenvector subset selection is the key to face recognition. In this paper ,we propose ESS-BOA, a newrandomized, population-based evolutionary algorithm which deals with the Eigenvector Subset Selection (ESS)prob-lem on face recognition application. In ESS-BOA ,the ESS problem, stated as a search problem ,uses the BayesianOptimization Algorithm (BOA) as searching engine and the distance degree as the object function to select eigenvec-tor. Experimental results show that ESS-BOA outperforms the traditional the eigenface selection algorithm. 展开更多
关键词 人脸识别 脸面特征向量子集选择 贝叶斯优化算法 图像分析 图像理解 计算机
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