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The main aim of data stream outlier detection is to find the data stream outliers in rational time accurately. The existing outlier detection algorithms can find outliers in static data sets efficiently, but they are inapplicable for the dynamic data stream, and cannot find the abnormal data effectively. Due to the requirements of real-time detection, dynamic adjustment and the inapplicability of...
Much research effort on automatic image annotation (AIA) has been focused on generative model, due to its well formed theory and competitive performance as compared with many well designed and sophisticated methods. However, when considering semantic context for annotation, the model suffers from the weak learning ability. This is mainly due to the lack of parameter setting and appropriate learning...
The problem of information overloading with the use of search engine and the temporal efficiency losing of the indexed data has been a great trouble for the further use of the Internet. In this paper, a novel knowledge based initiative topic search engine called Information Assistant is designed and realized. It breaks through the traditional passive service style of the search engine, and solves...
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