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This paper presents a novel method for detection and recognition of glass defects in low resolution images. First, the defect region is located by the method of Canny edge detection, and thus the smallest connected region (rectangle) can be found. Then, the binary information of the core region can be obtained based on a specific filter. After noises are removed, a novel Binary Feature Histogram (BFH)...
The differential diagnostics of traditional Chinese medicine is the kernel of TCM. The objective study of TCM diagnostics is a research hot spot at present. The differential diagnostics process of TCM is very complex and nonlinear. Support vector machine (SVM) is a novel method to establish the diagnosis model of TCM. In this paper, the differential diagnostics model is constructed base on multi-SVM...
A hybrid intelligent system is applied to assess the environment effect of Chinese foreign trade, combining rough set approach and support vector machines (SVM). We can get reduced information table with no information loss by rough sets approach. And then, this reduced information is used to develop classification rules and train SVM. The effectiveness of our methodology was verified by experiments...
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