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METHOD FOR ANALYZING BRAIN IMAGE USING KPCA, LDA AND MULTI-KERNEL LEARNING SVM
METHOD FOR ANALYZING BRAIN IMAGE USING KPCA, LDA AND MULTI-KERNEL LEARNING SVM
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机译：KPCA，LDA和多核学习SVM的脑图像分析方法
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摘要
The present invention relates to a method for determining dementia and mild cognitive impairment from a normal control group by sequentially performing a kernel principal component analysis (KPCA), a linear discriminant analysis (LDA), and a multi-kernel learning support vector machine (SVM). More specifically, the method of the present invention includes the kernel PCA significantly reducing dimensionality in a kernel space. A kernel PCA coefficient is projected as an LDA coefficient for efficient separation. Also, discrimination LDA coefficients are provided to the multi-kernel SVM for training and testing for detection.;COPYRIGHT KIPO 2018
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