An analytical algorithm for generalized low-rank approximations of matrices

作者：Liang, ZZ^*; Shi, PF

来源：Pattern Recognition, 2005, 38(11): 2213-2216.

DOI：10.1016/j.patcog.2005.04.012

• low-rank approximations of matrices
• 2DPCA
• the optimization function

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.

• 出版日期2005-11
• 单位上海交通大学