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Coupled learning algorithm, in which the eigenvector and eigenvalue of a covariance matrix are estimated in coupled equations simultaneously, is a solution to the speed-stability problem that plagues most noncoupled learning rules. Möller has proposed a class of well-performed CPCA (coupled principal component analysis) algorithms, but it is a pity that only few of CMCA (coupled minor component analysis)...
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