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To solve the problem of seriously distortion while enlarging images via seam carving, we proposed an improved method in this paper. Firstly, we enlarged the image with hierarchical interpolation model to the size of power of two times of original, which is closest to target size, while applying iterative curvature-based interpolation algorithm to protected areas and nearest interpolation to non-protected...
Text clustering is the major route for topic detection. The major shortcoming which the current algorithms always suffers is the high computing complexity and great time cost when the number of instance is too large. We introduce a new algorithm which cluster the text copra is two steps: in the C-process we divide the copra into some overlapping subsets using Canopy clustering; in the K-process we...
Recent advances in feature clustering offer a viable alternative for text classification. In this paper, we propose a methodology in which all the terms are clustered based on χ2 measures and only part of the clusters are selected to build the feature space. We also present that, higher precision and recall could be acquired when we select feature clusters base on their average χ2 measure and take...
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