In this paper, we propose a Multi-view Distributed SVM model. Most distributed classification models, distribute the instances among their processing nodes, while we assume that one instance is formed as a combination of information from different sources. This makes our model a great choice for multi-view activity recognition in camera sensor networks. We demonstrate the effectiveness of the algorithm, using the IXMAS dataset.
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