An analytical algorithm for generalized low-rank approximations of matrices

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• 作者：Zhizheng Liang and Pengfei Shi
• 关键词：Low-rank approximations of matrices ; 2DPCA ; The optimization function
• 刊名：Pattern Recognition
• 出版年：2005
• 期刊代码：100_00313203
• 类别：cp
• 出版时间：2005
• 卷：38
• 期：11
• 页码：2213-2216
• 文件大小：169 K

摘要

The algorithm for generalized low-rank approximations of matrices (GLRAM) has been developed recently. In this paper, the optimality property of GLRAM is revealed. Accordingly, an analytical method for GLRAM is proposed. The proposed method is non-iterative. Moreover, the relationship between 2DPCA and GLRAM is shown.