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In the spectral-type subspace segmentation models, the rank minimization problem was relaxed as Nuclear Norm Minimization(NNM) problem. However, to guarantee the success of NNM, one needs some strict conditions, and NNM may yield the matrix with much higher rank than the real one. In this paper, the L1/2 regularization is introduced into the low-rank spectral-type subspace segmentation model, combining...
Wireless sensor localization has become an essential requirement for realistic applications over wireless sensor networks (WSNs). Although some other systems have been proposed, these methods normally require heavy computational processes to overcome the presence of these errors. Because coarse accuracy is sufficient for most sensor network applications, a method for estimating unknown node positions...
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