Xiaorong Jiang

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Using context to aid object detection is becoming more popular among computer vision researchers. Our physical world is structured, and our perception as human beings does not neglect contextual information. In this paper, we propose a framework that is able to simultaneously detect and segment objects of different classes under context. Context is(More)
Based on an effective clustering algorithm Seeds affinity propagationin this paper an efficient clustering approach is presented which uses one dimension for the group of the words representing the similar area of interest with that we have also considered the uneven weighting of each dimension depending upon the categorical bias during clustering. After(More)
With the swift development of modern science and technology and fortified trend of economics globalization, As an advanced manufacturing mode, Servitization of Manufacturing coincides the reform trend of Manufacturing Industry. Almost at the same time, knowledge has become the most important strategic resource. However, the research of what influences(More)
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