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Settlement matching is one of the important parts of large scale map update. All edges of settlements are classified based on their length and orientation so as to translate them into set of symbols at first. The representative patterns of settlements were thoroughly enumerated and their corresponding grammars are constructed based on common settlement types secondly. Thirdly, all settlements are...
Inverse problem of support vector machine is a powerful technique for generating decision trees with high generalization capability. How to split a given dataset into two clusters such that the margin between the two clusters attains the maximal is the key to the inverse problem. Margin-merging clustering algorithm has been applied to solve this problem with good performance. After the training data...
This paper investigates an effective algorithm for inverse problem of support vector machines. The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains maximum. However the training time for inverse problem of SVM is incredible. Clustering is a feasible way to simplify the process of it, but it is difficult to estimate the number of...
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