An analytical algorithm for generalized low-rank approximations of matrices

作者：

Highlights：

•

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.

论文关键词：Low-rank approximations of matrices,2DPCA,The optimization function

论文评审过程：Received 19 April 2005, Accepted 22 April 2005, Available online 12 July 2005.

论文官网地址：https://doi.org/10.1016/j.patcog.2005.04.012