文件名称:KPCA-LEG
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 468kb
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- pi***
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从理论上证明了KGE框架内的各种核算法其实质是KPCA+LGE框架内的线性降维算法，并且基于所给出的理论框架提出了一种综合利用零空间和非零空间
鉴别信息的组合方法．-Theoretically proved that the KGE various accounting method within the fr a mework of its essence is the KPCA+ LGE within the fr a mework of linear dimensionality reduction algorithm, and given the theoretical fr a mework based on a proposed comprehensive utilization of zero space and zero space identification information combination of methods.
鉴别信息的组合方法．-Theoretically proved that the KGE various accounting method within the fr a mework of its essence is the KPCA+ LGE within the fr a mework of linear dimensionality reduction algorithm, and given the theoretical fr a mework based on a proposed comprehensive utilization of zero space and zero space identification information combination of methods.
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基于核化图嵌入的最佳鉴别分析与人脸识别.pdf