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This paper develops a distributed stochastic subgrandient-based support vector machine algorithm when training data to train support vector machines are distributed in the network. In this situation, all the data are decentralized stored and unavailable to all agents and each agent has to make its own update based on its computation and communication with neighbors. With mild connectivity conditions,...
Speech processing is typically based on a set of complex algorithms requiring many parameters to be specified. When parts of the speech processing chain do not behave as expected, trial and error is often the only way to investigate the reasons. In this paper, we present a research methodology to analyze unexpected algorithmic behavior by making (intermediate) results of the speech processing chain...
With recent development of wireless sensor network (WSN), it has led to the appearance of many application specific communication protocols which must be energy efficient. Among those protocols, LEACH (low energy adaptive clustering hierarchy) protocol is one of the most promising protocols. In this paper, we propose the geographical-based multihop clustering algorithm (GBMCA) based on LEACH, which...
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