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- W2165748873 abstract "A new model of feedforward neural networks is proposed for solving the problem of robust boundary detection. Structurally, it is based on a circular mask which is characterized as a symmetrical neural network. By analyzing the weighted intermediate pattern, a dominant pattern is found to appear repeatedly for similar boundary orientation. Hence, a piecewise linearized edge could be detected by this approximation. Experimental results show that this new architecture can be applied to experience scaling effect by changing the mask size. >" @default.
- W2165748873 created "2016-06-24" @default.
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- W2165748873 date "2002-12-10" @default.
- W2165748873 modified "2023-09-26" @default.
- W2165748873 title "Boundary detection based on neural networks model" @default.
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- W2165748873 doi "https://doi.org/10.1109/tai.1991.167102" @default.
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