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A critical task in corner detection in 2D images is on the distinction between a corner pixel and a pixel with a large gradient (i.e., an edge pixel). Imbalanced point detection was proposed to address this problem, where a corner pixel is characterized as a pixel with an imbalanced appearance, while an edge pixel has the opposite property. With extensive experiments, an imbalanced point detector...
The development of a model classification intrusion detection using Weighted Extreme Learning Machine was examined with KDD'99 data set ad 4 types of main attack : Denial of Service Attack (DoS), User to Root Attack (U2R), Remote to Local Attack (R2L), and Probing Attack, when comparing the effectiveness of working process of the method presented to SVM+GA[6] and ELM, found that weighted technique...
Out-class sampling working together with in-class sampling is a popular strategy to train Support Vector Machine (SVM) classifier with imbalanced data sets. However, it may lead to some inconsistency because the sampling strategy and SVM work in different space. This paper presents a kernel-based over-sampling approach to overcome the drawback. The method first preprocesses the data using both in-class...
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