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In this paper, a unified superresolution framework, which simultaneously integrates image reconstruction and image registration, is proposed for multiangle-multispectral remote sensing images. With the strong correlation of different angle images, the low-rank structure of multiangle image is explored by lexicographically ordering the 3-D data cube into a 2-D matrix. Based on this property, the observed...
An optimized parallel algorithm is proposed to solve the problem occurred in the process of complicated backward substitution of cyclic reduction during solving tridiagonal linear systems. Adopting a hybrid parallel model, this algorithm combines the cyclic reduction method and the partition method. This hybrid algorithm has simple backward substitution on parallel computers comparing with the cyclic...
Logistics and economy influence each other, and their relationship is dynamically changeable. The economy of different stages exhibits various demand for logistics. In order to explore the evolution law of the relationship between logistics and economy, this paper establishes an index system, a comprehensive comparison platform and an evolution model by the methods of principal component analysis...
We present our research in optimal power management for a generic vehicle power system that has multiple power sources using machine learning and fuzzy logic. A machine learning algorithm, LOPPS, has been developed to learn about optimal power source combinations with respect to minimum power loss for all possible load requests and various system power states. The results generated by the LOPPS are...
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