This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.

本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。

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Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.

针对模糊核聚类对红外图像分割存在的不足，提出了一种改进的模糊核聚类红外图像分割算法。

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To resolve the problem that the background pixels in an object model induce localization errors in object tracking, a fuzzy kernel histogram was presented for object tracking.

针对目标模型内的背景像素造成目标跟踪定位偏差的问题，提出了一种适合于目标跟踪的模糊核直方图。

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In order to improve the classification accuracy of multiclass, an algorithm called Large Margin and Fuzzy Kernel Hyper-Ball (LMFKHB) was proposed.

为了提高多类问题的分类精度，提出最大边界模糊核超球(LMFKHB)算法。

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In order to improve the classification accuracy of multiclass, an algorithm called Large Margin and Fuzzy Kernel Hyper-Ball (LMFKHB) was proposed.

为了提高多类问题的分类精度，提出最大边界模糊核超球(LMFKHB)算法。

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