摘要
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.
Eigenvector subset selection is the key to face recognition. In this paper , we propose ESS-BOA, a new randomized, 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 Bayesian Optimization Algorithm (BOA) as searching engine and the distance degree as the object function to select eigenvector. Experimental results show that ESS-BOA outperforms the traditional the eigenface selection algorithm.
出处
《计算机科学》
CSCD
北大核心
2002年第12期162-163,194,共3页
Computer Science
基金
国家教育部科学技术重点研究项目(99092)
