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Survivability is the primary problem in wireless visual sensor networks (WVSNs) when they are utilized for sewage monitoring with limited resources. In this paper, we propose a low-cost data prioritization framework for sewage microorganism microscopic images to overcome this frangibility of WVSNs. Firstly, an improved fast visual background extraction (Vibe) algorithm is proposed to rapidly detect...
Structured regression has been successfully used in many applications where explanatory and response variables are inter-correlated, such as in weighted attributed networks. One of structured models, Gaussian Conditional Random Fields (GCRF), utilizing multiple unstructured models to learn the non-linear relationships between node attributes and the structured response variable, achieves high prediction...
Narang and Ortega have constructed a two-channel biorthogonal graph filter bank with compact support. The design method does not consider the spectral response of the kernels. In this letter, we employ optimization approach to design the spectral kernels. The analysis and synthesis kernels are, respectively, optimized with constrained optimization problems, in which the reconstruction error and spectral...
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