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一种监督的局部保持典型相关分析算法

, PP. 143-149

Keywords: 典型相关分析(CCA),局部保持,特征提取,人脸识别

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Abstract:

从模式分类的角度出发,提出一种监督的局部保持典型相关分析(SLPCCA),通过最大类内成对样本与其近邻间的权重相关性,因而能有效利用样本类别信息的同时保持数据的局部流形结构,并且融合判别型典型相关分析(DCCA)的鉴别信息而不受总类别数的限制。此外,为了提取数据的非线性特征,在核方法的基础上又提出一种核化的SLPCCA(KSLPCCA)。在ORL、Yale、AR和FERET等人脸数据库的实验结果表明,该算法比其他传统的典型相关分析方法具有更好的识别效果。

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