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Titlebook: Cognitive Internet of Things: Frameworks, Tools and Applications; Huimin Lu Book 2020 Springer Nature Switzerland AG 2020 Computational In

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An Improved Unsupervised Band Selection of Hyperspectral Images Based on Sparse Representation,ate-of-art band selection methods are compared with the MDSR on three widely used hyperspectral datasets. Experimental results show that MDSR achieves marginally better performance in hyperspectral image classification, and better performance in average correlation coefficient and computational time.
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Self-Efficacy as a Source of Successed as a low-rank matrix plus sparse noises. The low-rank matrix was used to reconstruct the MEG signal and remove interference. The source model was estimated using the reconstructed MEG signal and minimum variance beamforming. Simulations with a realistic head model indicated that the proposed method was effective.
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The method of biographical policy evaluationm constructs Chaos-Gaussian measurement matrix by the sequences. Experimental results show that Chaos-Gaussian measurement matrix can provide comparable performance against Gaussian and Bernoulli random measurement matrix.
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