Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Pu, Zhangni"'
In this paper, we investigate the asymptotic behaviors of the extreme eigenvectors in a general spiked covariance matrix, where the dimension and sample size increase proportionally. We eliminate the restrictive assumption of the block diagonal struc
Externí odkaz:
http://arxiv.org/abs/2405.08524
This paper proposes an improved linear discriminant analysis called spectrally-corrected and regularized LDA (SRLDA). This method integrates the design ideas of the sample spectrally-corrected covariance matrix and the regularized discriminant analys
Externí odkaz:
http://arxiv.org/abs/2210.03859