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Visual saliency estimation based on optimization models is gaining increasing popularity recently. In this paper, we formulate saliency estimation as a quadratic program (QP) problem based on robust hypotheses. First, we propose an adaptive center-based bias hypothesis to replace the most common image center-based center-bias. It calculates the weighted center by utilizing local contrast which is...
A new intelligent displacement back analysis was proposed based on support vector machine (SVM) and continuous tabu search (CTS). On the one hand, based on the study samples consisting of the measuring point' displacements and rock and soil mechanics parameters of positive analysis, the model used SVM to build the nonlinear mapping relationship between them. On the other hand, the model used the global...
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