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An improved KNN text classification algorithm based on Simhash has been proposed by introducing Simhash and the average Hamming distance of adjacent texts as a unit, which solves the problems caused by data imbalance and the large computational overhead in the traditional KNN text classification algorithms. Experimental results demonstrate that the proposed algorithm performs a higher precision, a...
This paper proposes a hybrid algorithm based on improved LLE and adaptive k-means for visual codebook generation in tourism scene classification. Firstly, we construct the improved LLE algorithm to get lower dimensional and compressed image feature representations. Then we form the adaptive k-means clustering algorithm to generate the visual codebook. Finally, we use the visual codebook histogram...
Extension of ontology instance is the important part of ontology maintenance. In this paper, a novel and effective method is proposed to extending ontology instances from Chinese free text, which is achieved with classification using support vector machine (SVM). Firstly, classification features are extracted in terms of syntax and semantics from the training texts and the new texts based on the existed...
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