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As an active topic in pattern recognition, the graph spectral is applied in clustering and segmentation. But issues in the analysis to image, especially the texture image, could not been retrieved till now. In this paper, we present a novel texture analysis method, which introduces graph spectral theory into the field of texture image analysis. At first, the image is partitioned into several sub images...
A novel visual combining classifier (VCC), which integrates two-dimensional graphical representation of the attribute data, image processing and pattern recognition techniques together, has been proposed. The basic principle of the VCC is mapping attribute data of a data matrix to the two-dimensional graphs, transforming these graphs to sub classifiers by pixel graphs, and combining the sub classifiers...
Searching in complex networks is different from random and regular networks for existing long range connections and hub nodes. So the research on structure and characters of networks will improve the search speed and lower the load of nodes. Though getting the shortest paths is the best choice, in a real network, it is impossible for a node to get global information. For example, there is not a node...
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