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Due to the extensive and various information that natural images contain, it is very challenging to estimate the sparsity for an image. In this paper, we propose an adaptive sparsity estimation model for image patches, which consists of an offline training phase and online estimation phase. In offline training, for the training patch, MOEA/D is applied to obtain a group of Pareto solutions and determine...
Stable matching-based selection models the selection process in MOEA/D as a stable marriage problem. By finding a stable matching between the sub problems and solutions, the solutions are assigned to sub problems to balance the convergence and the diversity. In this paper, a two-level stable matching-based selection is proposed to further guarantee the diversity of the population. More specifically,...
This paper describe the finite element analysis of large mirror based on contact theory. After several modules' computing author compared the calculated Result and test result, and make a conclusion that contact analyzing is more accurate than linear analysis for large mirror.
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