A Sampling Method Based on Gauss Kernel Learning and the Expanding Research

@article{Zhu2012ASM,
  title={A Sampling Method Based on Gauss Kernel Learning and the Expanding Research},
  author={Shunzhi Zhu and Kaibiao Lin and Zhi-qiang Zeng and Lizhao Liu and Wenxing Hong},
  journal={J. Comput.},
  year={2012},
  volume={7},
  pages={547-554}
}
In this paper, the expansion of feature points of the linear scale space is transformed into the classification of multi-scale data set within the same scale, which belongs to the classification of scale invariant non-equilibrium .The paper presents a sample approach based on kernel learning to solve classification on imbalance dataset by Support Vector Machine (SVM). The method first preprocesses the data by oversampling the minority class in kernel space, and then the pre-images of the… 

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