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In order to improve the accuracy of vehicle detection, and to solve the gradually changing brightness of light in the background and the movement of the objects in the background, this paper presents an algorithm that fast adapts to the background generation and updating. Focus on the objects with similar gray background, and moving object missing caused easily by segmentation, the threshold segmentation...
Currently proposed group decision making approaches, such as expected utility theory, the analytic hierarchy process and fuzzy linguistic approach, require expert working on problem individually, which discourages the cooperation and communication among experts. In this paper, we propose an approach which aids group decision making by analyzing the process of group discussion. Our approach consists...
The continuing growth of world wide Web and on-line text collections makes a large volume of information available to users. Automatic text summarization helps users to quickly understand the documents. This paper proposes an automated technique for Chinese document summarization based on kernel words recognition and discourse segment extraction. This method can be divided into the following five...
Social networks have recently attracted much attention for their importance to the semantic Web. Several methods exist to extract social networks for people from the Web based on co-occurrence information. This paper proposed a content analysis based method for automatic obtaining social networks among various entities from Chinese event-based news stories. First, the input articles are annotated...
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