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- W2134081946 abstract "The authors point out that by defining several notions of robustness for an attractor network, it is possible to augment previous results about the AdaTron algorithm by explicit values for the robustness of the optimal weights. It is shown that the symmetry of a problem is reflected by the invariance of the optimal weights. This enables one to deduce that a convex corner detection, using a discrete-time cellular neural network (DTCNN), cannot be accomplished with just one clock cycle, and an improved convex corner detector is proposed. >" @default.
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- W2134081946 date "2003-01-02" @default.
- W2134081946 modified "2023-09-26" @default.
- W2134081946 title "Robustness of attractor networks and an improved convex corner detector" @default.
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- W2134081946 doi "https://doi.org/10.1109/cnna.1992.274355" @default.
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