Convergence rate of kernel canonical correlation analysis

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内核正规关联分析(CCA ) 是 CCA 的非线性的扩展,它瞄准提取二个随机的变量分享的信息。它在许多地里有宽应用,例如信息检索。这份报纸在怎么选择规则化参数上的一些近似条件和一些建议下面给集中率内核 CCA 的分析。结果证明集中率仅仅取决于二个参数:规则化参数的率和紧缩的操作符 V 的特征值的腐烂率 YX,和它给内核 CCA 的更好的理解。
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