Abstract
Histogram Intersection (HI) kernel has been recently introduced for image recognition tasks. The HI kernel is proved to be positive definite and thus can be used in Support Vector Machine (SVM) based recognition [1]. In this paper, Profile Histogram Intersection (PHI) kernels and Detail Histogram Intersection (DHI) kernels function are proposed which based on traditional Histogram Intersection kernels. In experiments on classification of face images, our DHI kernel shows higher classification accuracy than HI kernels.
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