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In recent years, the evolution of online social networks has become an important research topic in online social network analysis. An important approach to this problem is to detect community evolution events so as to understand the evolution of the whole network. Considering the huge amount of data in large social networks, an efficient and scalable community evolution detection algorithm is necessary...
As a reliable and effective feature descriptor, SIFT garners more and more attention in image registration for its capability of scale and rotation invariance. This paper proposes a novel image registration method to utilize SIFT in spectrum disparity cases. The new method uses the local correlation based on phase congruency and is introduced to reinforce original similarity measurement and obtain...
In this paper, a multi-texture-model for water extraction based on remote sensing imagery is proposed. The model is applied to extract inland water (including wide river, lake and reservoir) from high-resolution panchromatic images. Firstly directional variance is used to find river regions, and then grain table is adopted to avoid noise including objects that have similar directional variance characteristic...
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