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- W2971987833 abstract "In this paper, we proposed a novel framework for environment perception. The proposed model combines the physio-logical mechanisms of human vision and psychological principle of cognitive development. Our algorithm consists of two major components, a gist module and a memory module. The gist module simulates the cognition process associated with visual attention. The memory module is simulated by the Incremental Hierarchical Discriminant Regression (IHDR) tree, which ensures the memories of the world are distributed over the hierarchy. Experimental results on the USC dataset demonstrated that the proposed algorithm is robust and efficient." @default.
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- W2971987833 date "2019-08-01" @default.
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- W2971987833 title "A Novel Environment Perception Algorithm Combining Biologically Inspired Features and Brain-like Memory Pattern" @default.
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- W2971987833 doi "https://doi.org/10.1088/1742-6596/1302/2/022071" @default.
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