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Real data often are comprised of multiple modalities or different views, which provide complementary and consensus information to each other. Exploring those information is important for the multi-view data clustering and classification. Multiview embedding is an effective method for multiple view data which uncovers the common latent structure shared by different views. Previous studies assumed that...
In this paper, we address the reference model adaptive neural network control problem for a class of switched nonlinear singular systems under the case of single input and multiple inputs. Based on RBF neural network, the state tracking controller and a switching strategy are designed so that switched nonlinear singular system can asymptotically track the desired reference model. It shows that RBF...
The integration of Wireless mesh networks (WMNs) with other networks (e.g. Internet, cellular, IEEE 802.11, sensor networks, etc.) requires an effective and robust congestion control algorithm to maintain network stability and achieve a high network resource utilization. In this paper, we address the problem of congestion control for WMNs with multi-channel MAC. We formulate the design of congestion...
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