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With the continuous development of cloud computing, Internet of Things (IoT) gradually involves in all walks of life, which contains large amounts of sensitive information, privacy information. In addition, the most direct and serious security risks are malicious nodes involving in information acquisition and data fusion, which send false information and eavesdrop instructions sent with legal identity...
We develop a Bayesian nonparametric model for reconstructing magnetic resonance images (MRIs) from highly undersampled \(k \) -space data. We perform dictionary learning as part of the image reconstruction process. To this end, we use the beta process as a nonparametric dictionary learning prior for representing an image patch as a sparse combination of dictionary elements. The size of the dictionary...
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