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Support vector machine has some advantages, such as simple structure and good generalization, which is one implementation in statistical learning theory. SVM offers a kind of effective way for the data fusion problem of little sample, non-linear and high dimension. In this paper, mobile agents are applied to data fusion system. The model and the study method of data fusion system are improved. An...
In this paper we evaluate k-nearest neighbor (KNN), linear and quadratic discriminant analysis (LDA and QDA, respectively) for embedded, online feature fusion which poses strong limitations on computing resources and timing. These algorithms are implemented on our multisensor data fusion (MSDF) architecture and are applied to traffic monitoring, i.e., classifying vehicles using distributed image,...
Truly ubiquitous computing poses new and significant challenges. One of the key aspects that will condition the impact of these new technologies is how to obtain a manageable representation of the surrounding environment starting from simple sensing capabilities. This will make devices able to adapt their computing activities on an everchanging environment. This paper presents a framework to promote...
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