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As widely known as popular key idea used in HDR, we use a kernel method to densely map a high-dimensional feature and obtain the low-dimension representation. As a special case of kernel methods, Gaussian Radial Basis Function (RBF) kernel is used because it maps equally the weighted inner product on Hilbert space. To perform HDR, we need a kernel-based multidimensional similarity model and a distance learning rule, they can be computed by the following computation: 50e0806aeb julitale
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