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This paper proposes a generalized 2-D principal component analysis (G2DPCA) by replacing the L2-norm in conventional 2-D principal component analysis (2DPCA) with Lp-norm, both in objective and constraint functions. It is a generalization of previously proposed robust or sparse 2DPCA algorithms. Under the framework of minorization–maximization, we design an iterative algorithm to solve the optimization...
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