Space Edge Detection Based SVM Algorithm
نویسندگان
چکیده
SVM algorithm has a great advantage when it deals with small sample data set. However, In the process of large sample data set classification, it always has to face to the problems of slowly learning and large storage space. This paper puts forward the process of space edge detection, designs and implements the space edge detection based SVM algorithm. The result of simulation experiments shows that the model can effectively reduce the SVM training set, improve the speed of SVM training, save the storage space and the accuracy of the classification also has a good performance.
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