然后利用广义特征方程存在共轭正交的特征向量这一结论 ,巧妙地解决了该共轭正交条件下最优鉴别矢量集的求解问题 。
Then the problem of finding the optimal discriminant vectors subjected to such constraints is solved using the property that there exist a set of conjugate ort.
另外,基于(核)最大间距准则,本文提出了一组具有统计不相关性的最优(核)鉴别矢量集的计算方法。
Besides, based on the (kernel) maximum margin criterion, new algorithms of statistically uncorrelated optimal (kernel) discriminant vectors for feature extraction is presented in this paper.
另外,基于(核)最大间距准则,本文提出了一组具有统计不相关性的最优(核)鉴别矢量集的计算方法。
Besides, based on the (kernel) maximum margin criterion, new algorithms of statistically uncorrelated optimal (kernel) discriminant vectors for feature extraction is presented in this paper.
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