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Titlebook: Intelligent Data Engineering and Automated Learning -- IDEAL 2013; 14th International C Hujun Yin,Ke Tang,Xin Yao Conference proceedings 20

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Network Management Based on Domain Partition for Mobile Agents,very domain. Mathematical analysis and experimental results show that the proposed solution has better performance in both network traffic and response time than the centralized network management solution.
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A Pruning Algorithm for Extreme Learning Machine,according to the defined sensitivity. When the measure is below the given threshold, the nodes with smaller sensitivities are removed from the existent network all together. Experimental results show that the proposed method can produce more compact neural network than some other existing similar algorithms.
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Racing for Unbalanced Methods Selection,e propose to use a racing method to select adaptively the most appropriate strategy for a given unbalanced task. The results show that racing is able to adapt the choice of the strategy to the specific nature of the unbalanced problem and to select rapidly the most appropriate strategy without compromising the accuracy.
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Anomaly Monitoring Framework Based on Intelligent Data Analysis,achieving similar results to those of well respected methods, the proposed framework shows a promising potential for anomaly detection and its lightweight, real-time features make it applicable to a range of in-situ data analysis scenarios.
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Learning to Detect the Subway Station Arrival for Mobile Users,e the maximum entropy model for training a train arrival detector by learning the correlations between the contextual features and the events of train arrivals. Finally, we perform extensive experiments on several real-world data sets. Experimental results clearly validate both the effectiveness and efficiency of the proposed approach.
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Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering,ve detector mainly based on texture features, which can be replaced by more advanced ones if necessary. The effectiveness of the proposed tracking scheme is validated on a real-world scenario and shows satisfactory performance.
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