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Community detection has been a hot area with the development of modern society. Many community detection algorithms have been proposed to detect communities in complex networks. But efficiency is still a great challenge for community detection algorithms. In this paper, we propose a fast community detection algorithm. Our algorithm first constructs initial communities according to the similarity between...
It is expensive in time or resources to obtain adequate labeled data for a new remote sensing image to be categorized. The cost of manual interpretation can be reduced if labeled samples collected from previous temporal images can be reused to classify a new image over the same investigated area. However, it is reasonable to consider that the distributions of the target data and the historical data...
Post-Classification Comparison(PCC) method is widely used in change detection for remote sensing images, but it is affected by a significant cumulative error caused by single remote sensing image classification during change detection, which leads to the excessive evaluation of changed types and quantity. To solve this problem, this paper proposes a change detection method for remote sensing images...
Medical data often contains a large number of irrelevant and redundant features and a relatively small number of cases, which dramatically impact quality of diseases diagnosis. Hence, in quest for higher differentiation quality, feature selection is expected to improve differentiation performance. In this paper, we describe a heuristic approach based on Rough Sets theory and information theory, for...
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