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Taking inspiration from the significantly superior performance of humans to extract and interpret visual information, the exploitation of biological visual mechanisms can contribute to the improvement of the performance of computational image processing systems. Computational models of visual attention have already been shown to significantly improve the(More)
The human vision system is often significantly superior in extracting and interpreting visual information when compared to classical computer vision systems. The exploitation of existing knowledge about human perception is expected to improve the performance of computational vision systems. Computational visual attention has been reported to improve scene(More)
The process of evolution involves the emergence and disappearance of species. Many factors affect on the survival of species. Real study of factors’ influence is particularly difficult due to the complex interaction between them. An individual-based model (IBM) can assist in the analysis of effective factors. In this study, using an IBM called EcoSim, we(More)
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